Brief Introduction about the department (about 100 words)Brief Introduction about the department...

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1 Brief Introduction about the department (about 100 words) The Indian Agricultural Statistics Research Institute (IASRI) New Delhi is a premier Institute under Indian Council of Agricultural Research for conducting research and training in the fields of Agricultural Statistics, Computer Applications and Bioinformatics. Since 1945, the Institute has been organising regular training programmes for the benefit of inservice candidates. From October, 1964 courses leading to M.Sc. and Ph.D. degrees in Agricultural Statistics have been conducted in collaboration with the Indian Agricultural Research Institute (IARI), which has a status of deemed university. Another Post Graduate course leading to M.Sc. degree in Computer Application (initially, Computer Applications in Agriculture) was also started from September, 1985. A new Post Graduate course leading to M.Sc. degree in Bioinformatics was also started from August, 2011. Centre of Advanced Studies in Agricultural Statistics and Computer Applications was established at IASRI during the VIII Five Year Plan as a part of Human Resource Development Programme, vide D.o. no. 1-2/93(CAS)/UNDP dated 2nd February, 1995. CAS was renamed as Centres of Advance Faculty training vide Office order F.No1(31)/2009CAFT/HRD on 7th January 2010. Objective of CAFT: To strive for excellence in teaching, training and research through capacity building, infrastructural development and leadership role. To share the knowledge and facilities development with faculty from other institutes in NARS in the field of Agricultural Statistics and Computer Application through training programs. To enhance the skills of the scientists and teachers. Faculty: Name & Designation (as on 25.01.2020): FACULTY MEMBERS OF P.G. SCHOOL, IARI IN AGRICULTURAL STATISTICS S.No Name & Designation Year of induction 1. Dr. Tauqueer Ahmad, Director 1998 2. Dr. Lalmohan Bhar, Head Statistical Genetics 1998 3. Dr. Seema Jaggi, Head Design of Experiment & Professor Agricultural Statistics 1995 4. Dr. Anil Rai, ADG (ICT), Head CaBin 1995 5. Dr. K.N. Singh, Head (F&ASM) 2011 6. Dr. Rajender Parsad, Principal Scientist 1995

Transcript of Brief Introduction about the department (about 100 words)Brief Introduction about the department...

Page 1: Brief Introduction about the department (about 100 words)Brief Introduction about the department (about 100 words) The Indian Agricultural Statistics Research Institute (IASRI) New

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Brief Introduction about the department (about 100 words)

The Indian Agricultural Statistics Research Institute (IASRI) New Delhi is a premier Institute under Indian Council of Agricultural Research for conducting research and training in the fields of Agricultural Statistics, Computer Applications and Bioinformatics. Since 1945, the Institute has been organising regular training programmes for the benefit of inservice candidates. From October, 1964 courses leading to M.Sc. and Ph.D. degrees in Agricultural Statistics have been conducted in collaboration with the Indian Agricultural Research Institute (IARI), which has a status of deemed university. Another Post Graduate course leading to M.Sc. degree in Computer Application (initially, Computer Applications in Agriculture) was also started from September, 1985. A new Post Graduate course leading to M.Sc. degree in Bioinformatics was also started from August, 2011. Centre of Advanced Studies in Agricultural Statistics and Computer Applications was established at IASRI during the VIII Five Year Plan as a part of Human Resource Development Programme, vide D.o. no. 1-2/93(CAS)/UNDP dated 2nd February, 1995. CAS was renamed as Centres of Advance Faculty training vide Office order F.No1(31)/2009CAFT/HRD on 7th January 2010.

Objective of CAFT: To strive for excellence in teaching, training and research through

capacity building, infrastructural development and leadership role. To share the knowledge and facilities development with faculty from

other institutes in NARS in the field of Agricultural Statistics and Computer Application through training programs.

To enhance the skills of the scientists and teachers.

Faculty: Name & Designation (as on 25.01.2020):

FACULTY MEMBERS OF P.G. SCHOOL, IARI IN AGRICULTURAL STATISTICS S.No Name & Designation Year of induction 1. Dr. Tauqueer Ahmad, Director 1998 2. Dr. Lalmohan Bhar, Head Statistical Genetics 1998

3. Dr. Seema Jaggi, Head Design of Experiment & Professor Agricultural Statistics 1995

4. Dr. Anil Rai, ADG (ICT), Head CaBin 1995 5. Dr. K.N. Singh, Head (F&ASM) 2011 6. Dr. Rajender Parsad, Principal Scientist 1995

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7. Dr. Amrit Kumar Paul, Principal Scientist 1998 8. Dr. AR Rao, Professor (bioinformatics) 1998 9. Dr. Girish Kumar Jha, Principal Scientist (at IARI) 1999 10. Dr. Cini Varghese, Principal Scientist 2000 11. Dr. Himadri Ghosh, Senior Scientist 2004 12. Dr. Ajit, Principal Scientist 2015 13. Dr. Anil Kumar, Principal Scientist 2010 14. Dr. Prawin Arya, Principal Scientist 2003 15. Dr. Hukum Chandra, National Fellow 2003 16. Dr. Prachi Misra Sahoo, Principal Scientist 2002 17. Sh. Amrender Kumar, Senior Scientist (at IARI) 2003 18. Md. Wasi Alam, Scientist 2003 19. Dr. Ranjit Kumar Paul, Scientist 2011 20. Dr. Mir Asif Iquebal, Scientist 2011 21. Dr. B.N. Mandal, Scientist 2011 22. Dr. Susheel Kumar Sarkar, Scientist 2011 23. Dr. Kaustav Aditya, Scientist 2012 24. Dr. Bishal Gurung, Scientist 2013 25. Dr. Sukanta Dash, Scientist 2013 26. Dr. Arpan Bhowmik, Scientist 2014 27. Dr. Ankur Biswas, Scientist 2015 28. Mr. Kanchan Sinha, Scientist 2016 29. Dr. Anindita Datta, Scientist 2016 30. Dr. Soumen Pal, Scientist 2017

31. Dr. V. Ramasubramanian, Principal Scientist 2017 32. Dr. Sarika, Scientist 2018 33. Mr. Deepak Singh, Scientist 2018 34. Dr. Achal Lama, Scientist 2018 35. Mr. Prakash Kumar, Scientist 2018 36. Dr. Pradip Basak, Scientist 2018 37. Dr. Mrinmoy Ray, Scientist 2018 38. Dr.Raju Kumar, Scientist 2019 39. Dr. Vandita Kumari, Scientist 2019 40. Dr. Kanchan Sinha, Scientist 2019

FACULTY MEMBERS OF P.G. SCHOOL, IARI IN COMPUTER APPLICATION S.No Name & Designation Year of induction 1. Dr. Sudeep Marwaha, Head CA & Professor (CA)

2002

2. Dr. Rajni Jain, Principal Scientist (at NCAP) 2007 3. Dr. Alka Arora, Principal Scientist 2001 4. Dr. Anu Sharma, Scientist 2004

5. Ms. Shashi Dahiya, Senior Scientist 2001

6. Md. Samir Farooqi, Senior Scientist 2001

7. Dr. K.K.Chaturvedi, Senior Scientist 2002

8. Dr. S.B. Lal, Senior Scientist 2004 9. Dr. Anshu Bhardwaj, Principal Scientist 2004

10. Dr. Sangeeta Ahuja, Scientist 2002

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11. Sh. Pal Singh, Scientist 2010

12. Dr. Mukesh Kumar, Principal Scientist 2014

13. Dr. A.K. Mishra, Senior Scientist 2014 14. Ms. Shaloo, Scientist, (WTC) 2016

15. Sh. S.N. Islam Scientist 2018

FACULTY MEMBERS OF P.G. SCHOOL, IARI IN AGRICULTURAL BIOINFORMATICS

S.No Name & Designation Year of induction

1. Dr. A.R. Rao, Professor (Bioinformatics) 2010

2. Dr. Anil Rai, Head (CABin) 2010

3. Dr. Rajender Parsad, Principal Scientist 2010

4. Dr. Seema Jaggi, Principal Scientist 2010

5. Dr. S.S. Marla, Principal Scientist 2010

6. Dr. Sudeep Marwaha, Principal Scientist 2010

7. Dr. Kishore Gaikwad, Senior Scientist 2010

8. Dr. T. Napolean, Senior Scientist 2010

9. Dr. P.K. Singh, Senior Scientist 2010

10. Dr. A.K. Mishra 2010

11. Dr. U.B. Angadi, Senior Scientist 2014

12. Sh. S.B. Lal, Scientist 2010

13. Mohd. Samir Farooqui, Scientist 2010

14. Ms. Anu Sharma, Scientist 2010

15. Dr. Sunil Archak, Scientist 2010

16. Dr. D.C. Mishra, Scientist 2010

17. Dr. Sarika, Scientist 2010

18. Sh. Sanjeev Kumar, Scientist 2010

19. Dr. Mir Asif Iquebal, Scientist 2013

20. Dr. Monendra Grover, Principal Scientist 2013

21. Dr. K.K. Chaturvedi, Scientist 2015

22. Dr. M.G. Mallikarjuna, Scientist 2017

23. Dr. Yasin 2018

24. Dr. Sudhir Shrivastava 2019

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Human Resource Development:

Particulars of Short Courses / Training program conducted during 2017-2020

SI N

Name of Programme Participants

Course coordinators

Period

1. Advanced Statistical Techniques to Biometrics

25 Dr. A.K. Paul Mr. Prakash Kumar

10.08.17 to 30.08.17

2. “Recent advances in sample surveys and survey data analysis using statistical software” under the aegis of Agricultural Education Division

14 Dr. Kaustav Aditya Dr. Ankur Biswas

01.12.17 to 21.12.17

3. Recent Developments in Statistical Modeling and Forecasting in Agriculture under the aegis of Agricultural Division, ICAR

25 Dr. K.N. Singh Sh. Rajeev Ranjan Kumar

28.12.17 to 17.01.18

4. Application on OMICS Tools and Techniques for Agricultural Germplasm Improvements under the aegis of Agricultural Education division

24 Dr. Sarika Dr. Mir Asif Iquebal

09.02.18 to 01.03.18

5. Statistical Advances for Agricultural Data Analysis under the aegis of Agricultural Education Division

25 Dr. Seema Jaggi Dr. Anindita Datta

03.03.18 to 23.03.18

6. Computational and Statistical Advances for analysis of Biological Data in Agriculture under the aegis of Agricultural Education Division, ICAR

20 Dr. Anu Sharma Dr. S.B. Lal

24.03.18 to 13.04.18

7. Recent Trends in Data Analysis and Knowledge Management

15 Dr. Shashi Dahiya Dr. Anshu Bhardwaj Dr. Soumen Paul

06.09.18 to 26.09.18

8. Recent Advances in Agricultural Bioinformatics: Big Data Analysis Perspectives

14 Dr. K.K. Chaturvedi Md. Samir Farooqui

14.11.18 to 04.12.18

9. Advances in Designing and Analysis of Agricultural Experiments under the aegis of Centre of Advanced Faculty Training

24 Dr. B.N. Mandal Dr. Sukhanta Dash Dr. Anil Kumar

06.12.18 to 26.12.18

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10. Modern Statistical Techniques in Genetics Under the aegis of Agricultural Education Division, ICAR

21 Dr. Himadri Shekhar Roy Dr. Ranjit Kumar Paul Dr. Amrit Kumar Paul

01.02.19 to 21.02.19

11. Recent Advances in Statistical Modeling and Forecasting for Agricultural Data Analysis

21 Dr. K.N. Singh Dr. Achal Lama Dr. R.S. Shekhawat

23.02.19 to 15.03.19

12. Statistical Advances in Designing Agricultural Experiments and Data Analysis

25 Dr. Cini Varghese Dr. Susheel Kumar Sarkar Dr. Arpan Bhowmik

19.07.19 to 08.08.19

13. Advances Statistical Analysis of Breeding Data

22 Dr. Amrit Kumar Paul Dr. Ranjit Kumar Paul Dr. Himadri Shekhar Ray

27.08.19 to16.09.19

14. Advances in Data Science using R

22 Dr. Soumen Pal Sh. Pal Singh Dr. Sudeep

21.09.19 to11.10.19

15. Recent Advances in Sample Survey and Data Analysis using Statistical Software

20 Dr. Hukum Chandra Dr. Kaustav Aditya Dr. Pradip Basak

28.11.19 to18.12.19

16. Statistical and Machine Learning Techniques for Modeling and Forecasting Agricultural Data

21 Dr. Mrinmoy Ray Dr. Shivaswamy GP Dr. Harish Kumar H.V

20.12.19 to 09.01.20

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Infrastructure development (equipments etc.):

1. Infrastructure facilities created, equipment/ works / Library:

Renovation of ClassRooms : 5

Air Conditioned Conference :

Room Capacity 50

Facilities Available

Public Address System 1

Television 1

Multimedia Projector 1

Students’ Computer Lab:

Facilities available

Pentium PC’s 20

Laser Printer 2

UPS

(5KVA) 2

Student’s Computer Lab in Hostel :

Facilities available

Pentium PC’s 2

Awards/Recognitions:

2017-18 Dr. Hukum Chandra

Conferred as Fellow, National Academy of Agricultural Sciences (NAAS) under section Social Science,

in the AGM held on 05 June 2017 at NASC Complex, New Delhi.

Dr. K.K. Chaturvedi

Received Distinguished Scientist Award, in International Conference on Global Research Initiatives for

Sustainable Agriculture and Allied Sciences (GRISAAS-2017) held during 02-04

Dr. Seema Jaggi Dec. 2017 at MPUA&T , Udaipur

Conferred as Fellow, National Academy of Agricultural Sciences (NAAS) under section Social Science,

2018

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Dr. Ranjit Kumar Paul

Conferred as Fellow, National Academy of Agricultural Sciences (NAAS) under section Social Science,

2018

Dr. Santosha Rathod

Received Dr. G. R. Seth Memorial Young Scientist Award by Indian Society of Agricultural Statistics in

the 71st Annual National Conference of Indian society of agricultural statistics held 96 ICAR-DRMR,

Bhartapur from 25-27 November, 2017.

Dr. Ravindra Singh Sekhavat

Received Young Scientist Award by Science and Tech Society for Integrated Rural Improvement (S&T

SIRI) on the occasion of National Conference on Promoting Reinvigorating Agri- Horti, Technology

Innovation (PRAGATI - 2017), 11th -12th November, 2017.

Dr. Pradip Basak

Received M. K. Bose award for being the best student in Ph.D. (Agricultural Statistics) at ICARIASRI

during 2013-2016 at the Annual Day of the Institute on 03 July, 2017.

Dr. Ajit

Conferred as Fellow of Indian Society of Agroforestry for the year 2017

Dr. Ranjit Kumar Paul

Received ICAR Lal BahadurShastri Outstanding Young Scientist Award in Social Sciences for 2016 in

ICAR foundation day on 16th July, 2017 at NASC complex, Pusa, New Delhi

Dr. Kaustav Aditya

Awarded “Krishi Vigyan Gourav” Award 2017 from Bhartiya Krishi Anusandhan Samiti and Krishi

Anusandhan Sanchar Kendra (ARCC), Karnal. 97

Sh. Prakash Kumar

Awarded Netaji Subhas-ICAR International Fellowship.

Dr. Sarika

Received “SERS Computational Biologist 2017”award from Society for Educational and Scientific

Research.

Dr. M.A. Iquabal

Received “Young Scientist Award” in 5th Faculty Branding Award 2017 by EET-CRS Research Wing

for Excellence in Professional Education and Industry.

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Alka Arora, Sudeep and Soumen Pal

Received second prize for digital poster presentation in hindi on the paper “KVK Portal and Mobile App:

Digital Tools for Effective Dissemination of Extension Activities” in the Hindi pakwara organized at

ICAR-IASRI.

2018-19

Rajender Parsad and B. N. Mandal

Coauthored a paper presented by the student Mr. Shyamsundar Parui who received Dr. M.N. Das

Memorial Young Scientist Award 2019 for the paper (cum presentation) in the National Conference on

Challenges and Opportunities in Statistics and Informatics for Futuristic Humanosphere especially in

Agriculture held at Tirupati during January 29-31, 2019.

Seema Jaggi

Panjabrao Deshmukh Outstanding Woman Scientist Award-2017 of ICAR during the Foundation Day of

ICAR held at NASC New Delhi on July 16, 2018.

Elected as Fellow, National Academy of Agricultural Sciences with effect from January 1, 2018.

Received the award on June 5, 2018 during the Foundation Day and Annual General Body Meeting of

NAAS at NASC Complex held during June 4-5, 2018.

A.R.Rao

Best Teacher Award in Agricultural Higher Education 2018-19 from ICAR-IARI, New Delhi.Received

the award from the Union Minister of Agriculture & Farmers Welfare, India on 8th February 2019. The

award carried cash prize of Rs. 50,000/- and a certificate.

Fellow of Indian Society of Agricultural Statistics – 2018 from the Secretary DARE & DG, ICAR

at ICAR-CIAE, Bhopal on 14th December 2018.

Hukum Chandra

Recognition Award for outstanding contributions in the field of Social Sciences for the Biennium 2017-

2018 from the National Academy of Agricultural Sciences, New Delhi. The award was conferred by Shri

Radha Mohan Singh, Honorable Union Minister of Agriculture & Farmers’ Welfare, and Shri Gajendra

Singh Shekhawat, Honorable Union Minister of State for Agriculture & Farmers’ Welfare Govt. of India,

on February 20, 2019.

Fellow of Indian Society of Agricultural Statistics; the award was conferred by Dr. T. Mohapatra,

Secretary, DARE & DG, ICAR at ICAR-CIAE, Bhopal on December 13, 2018.

Co-authored the paper by Dr. Sadikul Islam which fetched Dr. G.R. Seth Young Scientist Award 2018

to the latter by Indian Society of Agricultural Statistics.

Sarika

National Academy of Agricultural Sciences Associate with effect from January 1 2019.

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Ranjit Kumar Paul

Elected as Fellow, National Academy of Agricultural Sciences with effect from January 1, 2018.

Received the award on June 5, 2018 during the Foundation Day and Annual General Body Meeting of

NAAS at NASC Complex held during June 4-5, 2018.

S.N. Islam and Pal Singh

Received Second prize in Hindi Prashan Manch Pratiyogita in Hindi Pakhawara during September,

2018

Dr. Hukum Chandra

Receiving “Recognition Award” of NAAS from Shri Radha Mohan Singh, Union Minister of Agriculture

& Farmers’ Welfare, and Shri Gajendra Singh Shekhawat, Union Minister of State for Agriculture &

Farmers’ Welfare, New Delhi, February 20, 2019.

Dr. Ranjit Kumar Paul

conferred Fellow, National Academy of Agricultural Sciences on June 5, 2018 during the Foundation

Day of NAAS at NASC Complex, New Delhi

Dr. Hukum Chandra

receiving Fellow of Indian Society of Agricultural Statistics from Dr. T. Mohapatra, Secretary, DARE &

DG, ICAR, Bhopal, December 13, 2018.

Sukanta Dash

Bharat Vikas Award on the occasion of National Seminar on Intellectuals Social Responsibility at

Bhubaneswar, Odisha for loyalty, diligence and outstanding performance in the field of Artificial Neural

Network and Multivariate Statistics on 1st December 2018.

Arpan Bhowmik

Young Scientist Award-2018 of Coochbehar Association for Cultivation of Agricultural Science

(COBACAS) for contribution in agricultural sciences during the COBACAS 4th National Conference

organized jointly by COBACAS and UBKV at College of Agriculture, UBKV, Majhian, Dakshin Dinajpur,

West Bengal during 17-18 January, 2019.

Anindita Datta

Jawaharlal Nehru Award for P.G. Outstanding Doctoral Thesis Research in Agricultural and Allied

Sciences 2017 on 16 July, 2018 on ICAR Foundation day at NAS Complex, New Delhi

Best Paper Award A.K.Paul and Ranjit Kumar Paul

Best Paper Award for Performance of parametric and Non Parametric Stability Measures, published in

the Journal of the Indian Society of Agricultural Statistics, Volume 69, No. 3, December 2015 in the

field of Statistical Genetics and Genomics at ICAR-CIAE, Bhopal during 13- 15, December, 2018.

A. R. Rao

Best poster award in XIV Agricultural Science Congress organized by NAAS and ICAR-IARI at NASC

Complex, New Delhi during 20-23 February, 2019 for the research paper entitled “Development of

bioinformatics tool for analysis of crop DNA fingerprints” jointly written by Kumari, S., Bhat, K.V., Rao,

A.R., Mishra, D.C. and Paul, R.K.

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Poster paper on “SNP and SSR analyses of genetic diversity in cluster bean (Cyamopsis

tetragonoloba) from RNAseq-data” jointly authored by Sahu, S., Ghosal, S., Gaikwad, K., Kaur, M. and

Rao, A.R. was presented in International conference on NextGen Genomics, Biology, Bioinformatics

and Technologies (NGBT) in Jaipur, 30th September – 2nd October, 2018. This paper received Gyan

scholarship award and Sahu, S. presented the paper.

Secured 1st position in Oral presentation for the paper “Identification of differentially expressed long

non-coding RNAs and their functional role in cluster bean (Cyamopsis tetragonoloba)” jointly written by

Sahu, S., Saxena, S., Ghosal, S., Gaikwad, K. and Rao, A.R. in the International Conference on

Climate Change, Biodiversity and Sustainable Agriculture organized at AAU, Jorhat, Assam during 13th

- 16th, December, 2018. The paper was presented by Sahu, S.

Himadri Ghosh

Best Paper Award for Stochastic Volatility Model Fitting using Particle Filter: An Application in the

Journal of the Indian Society of Agricultural Statistics, Volume 68, No.3, December, 2014 in the field of

Applied Statistics at ICAR-CIAE, Bhopal during 13-15, December, 2018.

Ramasubramanian V.

Dr. Anamitra Saha Award for the paper Qureshi, N.W., Krishnan, M., Wani, S.A., Ramasubramanian,

V., Sivaramane, N. and Sundaramoorthy, C. (2017) Negative Externalities in Kashmir Lake Fisheries:

Transformation in Species Patronage, Use Priorities and Policy,

Indian Journal of Agricultural Economics, 72(1), 89-101, awarded by Indian Journal of Agricultural

Economics, Mumbai, adjudged as Best among the papers published in the Journal during the year

2017. Cini Varghese, Seema Jaggi and Rajender Parsad

Best Paper Award 2014-15 among the papers in the field of Design of Experiments published in

Journal of the Indian Society of Agricultural Statistics during the 72nd Annual Conference of the Indian

Society of Agricultural Statistics held at ICAR-Central Institute of Agricultural Engineering, Bhopal, MP

from December 13-15, 2018.

Sudeep Marwaha and Alka Arora

Best paper award for the paper “Online Progress Monitoring of Agricultural Scientists: e-initiative” by

ISAS at ICAR-CIAE, Bhopal during 13-15, December, 2018.

Ranjit Kumar Paul

Best poster award in the 10th International Triennial Calcutta Symposium on Probability and statistics

held at University of Calcutta, West Bengal during 27-30 December, 2018.

Arpan Bhowmik

Best Paper Award 2017 among the published papers in Range Management and Agroforestry. The

award has been conferred by the Executive council of the Range Management Society of India, Jhansi

on 13 December, 2018 in the National Symposium on Forage and Livestock based Technological

Innovation for Doubling Farmers' Income held at University of agricultural Science, Dharwad,

Karnataka.

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Samarendra Das and A.K. Paul

Best Paper Award for A Comparative Study of Various Classification Techniques in Multivariate Skew-

Normal Data Published in the Journal of the Indian Society of Agricultural Statistics, Volume 69, No.3,

December 2015 in the field of Statistical Theory and Methodology at ICARCIAE, Bhopal during 13-15,

December, 2018.

Deepak Singh

Received best paper award in the session “Sample surveys and Applications” in 72nd Annual

Conference of the ISAS, held at ICARCIAE, Bhopal during 13-15, December, 2018.

Raju Kumar

Received best paper award in the session “Sample surveys and Applications” in 72nd Annual

Conference of the ISAS, held at ICARCIAE, Bhopal during 13-15, December, 2018.

Vandita Kumari Choudhary

Received best paper award in the session “Sample surveys and Applications” in 72nd Annual

Conference of the ISAS, held at ICARCIAE, Bhopal during 13-15, December, 2018.

Neeraj Budhlakoti

Received Best Paper Award for Geocoris ochropterus Fieber: a potential predator. Best oral

presentation award in First International conference on Biological Control: Approaches and

Applications, organized at Bengaluru, India from 27-29 September, 2018.

Garima Singh and B N Mandal

Best paper award in students’ session at 72nd Annual Conference of Indian Society of Agricultural

Statistics on Statistics, Informatics and Engineering Interventions held at ICARCentral Institute of

Agricultural Engineering, Bhopal, MP during December, 13-15, 2018.

Krishi Vigyan Gaurav (An Honorary Title)

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vuq 'kekZ] T;ksfrdk HkkVh] 'kf'k Hkw"k.k yky] —".k dqekj prqosZnh] eks- lehj Q+k:d+h] ,oa vfuy jk; }kjk çsf"kr

ekSfyd 'kksèk i= Þlax.kukRed fofèk;ksa }kjk vjgj esa ekbØks&vkj- ,u- ,- dh igpku ,oa mldk fooj.kÞ dks

Hkkjrh; —f"k vuqlaèkku lfefr rFkk —f"k vuqlaèkku lapkj dsaæ ¼ARCC½ ds }kjk jk"Vª Hkk"kk dh lsok djus ds fy;s

—f"k foKkua xkSjo] 2018 dh ekun mikfèk ls vya—r fd;k x;kA

Hkk-Ñ-vuq-i-&Hkkjrh; Ñf"k lkaf[;dh vuqla/kku laLFkku] iwlk] ubZ fnYyh esa fgUnh i[kokM+s ds vUrxZr vk;ksftr

^^fMftVy fgUnh 'kks/k&i= izLrqfr** izfr;ksfxrk esa 'kf'k Hkw’k.k yky] vuq 'kekZ] lkfjdk ,oa vfuy jk; }kjk fyf[kr

thoiwokZuqeku] oa'kkoyh fo'ys"k.k vkSj izkbej fMtk+bfuax ds fy;s lekukUrfjr dk;Zizokg uked 'kksèk&i= ds fy,

r`rh; LFkku izkIr fd;kA

Hkk-Ñ-vuq-i-&Hkkjrh; Ñf’k lkaf[;dh vuqla/kku laLFkku] iwlk] ubZ fnYyh esa 11-09-2018 dks fgUnh i[kokM+s ds

vUrxZr vk;ksftr ^^fMftVy fgUnh 'kks/k&i= izLrqfr** izfr;ksfxrk esa f}ts'k pUnz feJk] uhjt cq<+ykdksVh] latho

dqekj] ,l- ch- yky ,oa vfuy jk; }kjk fyf[kr Vh-,-th-ih-Vh- % thu ,Dlizs'ku MkVk ij vk/kkfjr VªsV ls

lacaf/kr thu dh igpku ds fy, osc loZj uked 'kks/k&i= ds fy, izFke LFkku izkIr fd;kA

2019-20

Dr. Hukum Chandra received Cochran-Hansen Prize 2009 from International Association of Survey

Statisticians.

fuEufyf[kr e©fyd 'k¨èk i«k¨a d¨ fgUnh esa Niokus rFkk jk"Vª ,oa jk"VªÒk"kk dh lsok djus d¢ fy,

—f"k vuqla/kku if«kdk us ys£d®a d® Ñf"k foKku Xk©jo dh ekun mikfËk ls vyaÑr fd;kA

vi.kZ HkkSfed] lhek tXxh] ,Ynks oxhZl] lquhy dqekj ;kno] eks- gk:u] fluh oxhZl] vfuafnrk nRrk

,oa mn;ohj flag ¼2018½ fofo/krk ds L=ksrksa ds varxZr ikq ijh{k.kksa ds fy, izo`fr eqDr vfHkdYiuk,aA

Dr. Mrinmoy Ray honoured with Jawaharlal Nehru Award for P.G. Outstanding Doctoral Thesis

Research in Agricultural and Allied Sciences 2018 – Social Sciences by ICAR.

Dr. Sudhir Srivastava received financial aid award from the National Institutes of Health (NIH) R01

project of Dr. J. Christopher States for Summer 2019 at University of Louisville, USA.

Vandita Kumari Choudhary received Third prize for research paper “Yk?kq {ks= vkdyu rduhd ds

vuqiz;ksx }kjk mRrj izns'k ds xzkeh.k ifjokjksa esa _.kxzLrrk dh fLFkfr dk vkdyu by Vandita

Kumari, Hukum Chandra, Kaustav Aditya and UC Bandooni in the “Digital Research Paper

Presentation” organized on 11 September, 2019 at ICAR-IASRI, New Delhi.

Dr Vandita Kumari Choudhary received Second prize for “Antakshari” organized on 07 September,

2019 during Hindi Pakhwara at ICAR-IASRI, New Delhi.

Dr Ankur Biswas participated in Hindi Pakhwada and received third prize in Sabdarth Lekhan

Pratiyogita.

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Dr Pradip Basak participated in the quiz and sabdarth lekh competition in the hindi Pakhwara at ICAR-

IASRI, New Delhi and awarded first prize in the quiz competition.

Dr. Sudhir Srivastava received financial aid award from the National Institutes of Health (NIH) R01

project of Dr. J. Christopher States for Summer 2019 at University of Louisville, USA.

The division of Design Experiment received the Chal Shield for doing work in Hindi during the Hindi

Pakhwada celebration from 3-16 September, 2019 at ICAR-IASRI, New Delhi.

The following papers presented in Digital Hindi Research Paper Presentation competition during Hindi

Pakhwada celebration from 3-16 September, 2019 at ICAR-IASRI, New Delhi received prizes as

mentioned:

Dr. kanchan Sinha Received “Young Scientist” Award for contribution in the field of forecasting and

agricultural systems modelling on the occasion of International Conference on Global Research

Initiatives for Sustainable Agriculture and Allied Sciences (GRISAAS-2019) during 20-22 October, 2019

held at ICAR-National Academy of Agricultural Research Management, Rajendranagar, Hyderabad,

Telengana, India from the Society for Scientific Development in Agriculture and Technology.

Dr. Mukesh Kumar awarded second position in oral presentation to paper entitled” Development and

Validation of Mobile Based Decision Support System for Postural Assessment of Agricultural Activities

Using Rapid Upper Limb Assessment (RULA) Technique" in International Conference On Global

Research Initiatives For Sustainable Agriculture & Allied Sciences (GRISAAS-2019) during 20–22

October 2019 at ICARNAARM, Hyderabad, Telangana.

Dr. Ranjit Kumar Paul received appreciation letter from Advisor, Ministry of Agriculture and farmers

welfare, Government of India for my contribution as panelist in 3rd Agricultural Outlook Forum held

during 26-27 September, 2019 at NASC Complex

Best Poster Award: Ali, Abid, Kumar, Rakesh, Iquebal, Mir Asif, Jaiswal, Sarika, Kumar, Dinesh and

khan, Asad (2018). Role of N193, S217, G219 and T262 conserved residues in catalytic activity of

NDM-1: an computational and molecular approach. In International 20 Conference Interdisciplinary

Science Conference on Big Data and Computational Biology during October 21-22, 2019 at Jamia Milia

Islamia University, New Delhi 110025.

Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S, GOEL, S, Sahoo, RN and Chinnusamy, V

(2019) Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging.

Indian Journal of Agricultural Sciences, 89 (10): 1698–1702.

Singh, D, Kumar, R, Yadav, SK. Roy, HS, Biswas, A and RS Shekhawat. (2019). A study on problems

of major pulses producers and their solutions in India. Bhartiya Krishi Anushandhan Patrika, 34(2): 92-

98. DOI: 10.18805/BKAP162.

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Yadav, SP, Sarkar, SK, Mahapatra, RK, Kannaki, TR, Dange, M, Bhattacharya, TK, Chatterjee, RN

(2019). Modeling growth curves for Indian Native vs Exotic chicken breeds to assist in selection. Ind J.

Ani. Sci., 89(8): 898–902.

Bhowmik, A, Jaggi, S, Varghese, E & Varghese, C (2019). A note on optimal directional neighbour

designs with random block effect. Communications in Statistics - Simulation and Computation.

DOI:10.1080/03610918.2019.1568475.

Verma, RK, Wason, M, Padaria, RN, Singh, P, Sarkar, S and Bhowmik, A (2018). Effectiveness of

Information and Communication Technology based Advisory Services in Addressing Information Need

of Rural Women: A Case of Connecting Dream Foundation. Indian Journal of Extension Education.

54(2): 148-152.

Parui, S, Parsad, R, Mandal, BN and Dash, S (2019). Block designs for incomplete factorial treatment

structures with two factors. Communications-in-Statistics: Theory and Methods, 48(24), 6038-6053.

https://doi.org/10.1080/03610926.2018.1524911,http://krishi.icar.gov.in/jspui/handle/123456789/24347.

Paul, RK, Vennila, S, Bhat, MN, Yadav, SK, Sharma, VK, Nisar, S and Panwar, S (2019). Prediction of

early blight severity in tomato (Solanum lycopersicum) by machine learning technique. Indian Journal

of Agricultural Sciences 89 (1): 169-175.

Narsimhaiah, L, Sahu, PK, Singh, SHH, Sinha, K, Dey, S and Pandit, P (2019). Modelling and

forecasting of arecanut production in India-vision 2020, International Journal of Current Microbiology

and Applied Sciences, 8(11): 728-738.

Narsimhaiah, L, Sahu, PK, Sinha, K, Singh, SHH, Dey, S and Pandit, P (2019). Forecasting of coconut

production in India: An approach with ARIMA, ARIMAX and combined forecast techniques,

International Journal of Current Microbiology and Applied Sciences, 8(11): 1710- 1719.

Grover*, M, Mishra, DC, Kumar, RR and Kaur, M (2019). A decade of research in quantum

bioinformatics: a quantum computational view of the universe with special reference to living

organisms. International Journal of Current Research. 11(10): 7769-7770.

Nathamuni, S, Jangam, AK, Katneni, VK, Selvaraj, A, Krishnan, K, Kumar, S, Avunje, S,

Balasubramaniam, S, Grover, M, Alavandi, SV, Koyadan1,VK (2019). Insights on genomic diversity of

Vibrio spp. through Pan-genome analysis. Annals of Microbiology.https://doi.org/10.1007/s13213-019-

01539-7

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2017-18 Publications

1. Aditya, K, Chandra, H, Sud, UC, Bharadwaj,A and Dahiya, R (2018). Development of Software for

Digitization of Collected Data Under a Pilot Study to Estimate Crop Area and Production Based on the

Sample Sizes Recommended by Professor Vaidyanathan Committee Report. Journal of the Indian

Society of Agricultural Statistics, 72 (1):15-26.

2. Anjoy, P, and Paul, RK (2017). Wavelet based Hybrid Approach for Forecasting Volatile potato price.

Journal of the Indian Society of Agricultural Statistics 71(1): 7-14.

3. Anjoy, P, Paul, RK, Sinha, K, Paul, AK and Ray, M (2017). A hybrid wavelet based neural networks

model for predicting monthly WPI of pulses in India. Indian Journal of Agricultural Sciences, 87 (6):

834-839.

4. Aravind, J Rinku, S, Pooja, B, Shikha, M, Kaliyugam, S, Mallikarjuna, MG and Rao, AR (2017).

Identification, characterization, and functional validation of drought-responsive microRNAs in

subtropical maize inbreds. Frontiers in plant science 8: 941.

5. Arora, A, Marwaha, S, Samimul Alam, AKM, Saravana Kumar, R (2017).E-Governance Initiative for

Effective Training Management and Knowledge Sharing in Large Scale Organization, Journal of the

Indian Society of Agricultural Statistics, 71(3): 265–272.

6. Arora, K, Panda, KK, Mittal, S, Mallikarjuna, MG, Rao, AR, Dash, PK and Thirunavukkarasu, N

(2017). RNAseq revealed the important gene pathways controlling adaptive mechanisms under

waterlogged stress in maize. Scientific Reports, 7: 10950, 1-12.

7. Basak, P, Sud, UC and Chandra, H (2017). Calibration Estimation of Regression Coefficient for Two-

stage Sampling Design. Journal of Indian Society of Agricultural Statistics, 71(1): 1–6.

8. Basak, P, Sud, UC and Chandra, H (2018). Calibration Estimation of Regression Coefficient for Two-

stage Sampling Design using Single Auxiliary Variable. Journal of the Indian Society of Agricultural

Statistics, 72(1):1-6.

9. Behera, BK, Baisvar, VS, Kumari, K, Rout, AK, Pakrashi, S, Paria, P and Rao, AR (2017). The

complete mitochondrial genome of the Anabas testudineus (Perciformes, Anabantidae) and its

comparison with other related fish species. Mitochondrial DNA Part A, 28 (2): 161-162.

10. Bhowmik, A, Jaggi, S, Varghese, E and Varghese, C (2017). Optimal block designs with non

additive mixed effects interference, Communications in Statistics - Theory and Methods, DOI:

10.1080/03610926.2017.1291978.

11. Bhowmik, A, Jaggi, S, Varghese, E and Yadav, SK (2017). Trend Free Design under Two-way

Elimination of Heterogeneity. RASHI, 2(1): 34- 38.

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12. Bhowmik, A, Varghese, E, Jaggi, S and Varghese, C (2017). Minimally Changed Run Sequences in

Factorial Experiments. Communication in Statistics: Theory and Methods, 46:15, 7444-7459. 112

13. Bhowmik. A, Varghese, E, Jaggi, S and Yadav, SK (2017). Designs for Animal experiments under

two-way blocking structure in the presence of systematic trend. Indian Journal of Animal Sciences, 88

(1): 121–124.

14. Chandel, C, Dubey, M, Gupta, S, Patil, AH and Rao, AR (2017). Identification and characterization

of a grain micronutrient related OsFRO2 rice gene ortholog from micronutrient-rich little millet (Panicum

sumatrense), 3 Biotech, 7:80.

15. Chandra, H and Salvati, N (2018). Small Area Estimation for Count Data under a Spatial

Dependent Aggregated Level Random Effects Model. Communications in Statistics – Theory and

Methods, 47 (5): 1234 -1255.

16. Chandra, H, Kumar, S and Aditya, K (2018). Small Area Estimation of Proportions with Different

Levels of Auxiliary Data. Biometrical Journal, 60: 395–415.

17. Choudhary, P, Malhotra, S, Bharadwaj, C, Gaikwad, K, Kaur, S, Chopra, M, Tandon, G, Jaiswal, S,

Iquebal, MA, Rai, A, Kumar, D, Jain, S and Pradeep, K (2017). Transcriptomic signature of fusarium

toxin in chickpea unveiling wilt pathways and marker discovery. Physiological and Molecular Plant

Pathology,

100, 163-177.

18. Choudhury, N, Saurav S, Kumar, RR and Budhlakoti, N (2017). Modelling and Forecasting of Total

Area, Irrigated Area, Production and Productivity of Important Cereal Crops in India towards Food

Security. International Journal of Current Microbiology and Applied Sciences, 6(10): 2591-2600.

19. Dahiya, S, Handa, SS and Singh, NP (2017). A feature selection enabled hybrid-bagging algorithm

for credit risk evaluation, Expert Systems, 34(6):e12217.

20. Das, K, Choudhary, AK, Pooniya, V, Swarnalakshmi, K, Parihar, CM, Bana, RS and Sarkar, SK

(2017). Integrated crop management modules for enhancing productivity and profitability of direct-

seeded basmati rice (Oryza sativa). Indian Journal of Agronomy, 62 (4): 528–530.

21. Das, S, Meher PK, Pradhan UP, Paul AK (2017). Inferring gene regulatory networks using

Kendall’s tau correlation coefficient and identification of salinity stress responsive genes in rice. Current

Science, 112 (6): 1257- 1262.

22. Das, S, Meher, PK, Rai, A, Bhar, LM and Mandal, BN (2017). Statistical approaches for gene

selection, Hub gene identification and module interaction in gene co-expression network analysis: An

application to aluminum stress, PloS one, 12 (1), e0169605.

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23. Das, S, Paul, AK, Wahi, SD, Pradhan, UK (2017). Comparative performance of imputation methods

for different proportions of missing data in classification of crop genotypes. Journal of the Indian

Society of Agricultural Statistics, 71(2): 147–153.

24. Das, S, Rai, A, Mishra, DC and Rai, SN (2018). Statistical approach for gene set analysis with trait

specific quantitative trait loci. Scientific Reports, 8 (1): 2391.

25. Deb Chandan Kumar, Karn Saket Kumar, Das, M and Marwaha, S (2018). Microbial Taxonomy

Ontology for Agriculturally Important Microorganisms (AMO) Coupled with Sequence Alignment

Reinforcement Options. International Journal of Current Microbiology and Applied Science, 7(4): 3154-

3166.

26. Defo, C, Kaur, R, Bharadwaj, A, Lal, K and Kumar, P (2017): Modelling approaches for simulating

wetland pollutant dynamics, Critical Reviews in Environmental Science and Technology, 47 (15):1371-

1408.

27. Dey, SK, Chakrabarti, B, Prasanna, R, Singh, SD, Purakayastha, TJ, Datta, A and Pathak, H

(2017). Productivity of mungbean (Vigna radiata) with elevated carbon dioxide at various phosphorus

levels and cynobacteria inoculation. Legume research, 40(3): 497-505.

28. Faisal, S, Mani, I, Gupta, RK, Sahoo, PK, Jha, SK, Singh, B, Sarkar, SK and Khura, TK (2017)

Response surface analysis and process optimization of twin screw extrusion of apple pomace blended

snacks. Indian Journal of Agricultural Sciences, 87 (11): 1499–1506.

29. Farooqi, MS, Kumar, A, Mishra, DC, Kumar, S, Rai, A, Chaturvedi, KK and Lal, SB (2017).

Prediction of miRNA and Identification of their Relationship Network Related to Late Blight Disease of

Potato. MicroRNA, 7(1): 11-19.

30. Gaikwad, NN, Pal, RK, Suryawanshi, S, Babu, KD, Maity, A and Sarkar, S (2017). Effect of

extraction method and thermal processing on retention of bioacvtive compounds of pomegrante

(Punica granatum) (cv. Bhagwa) juice. Indian Journal of Agricultural Sciences, 87 (11): 1445–52.

31. Gaikwad, NN, Yedle,VH, Yenge, G, Suryavanshi, S, Babu, KD, Pal, RK and Sarkar, S (2017) Effect

of microwave pretreatment on extraction yield of pomegranate seed (cv. Bhagwa) oil. International

Journal of Chemical Studied, 5(4): 1291-94.

32. Ghosh, H (2017). Nonorthogonal optimal partial diallel cross designs for consistent estimation of

heritability, Journal of Japan Statistical Society, 47 (1): 37-48.

33. Ghosh, H and Prajeshu (2017). Richards stochastic differential equation growth model and its

application. Journal of the Indian Society of Agricultural Statistics, 71(2): 127– 137.

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34. Ghosh, N, Sud, UC, Chandra, H and Gupta, VK (2017). Model based calibration approach for

estimating population total in successive sampling. Journal of the Indian Society of Agricultural

Statistics, 71(2): 95-102.

35. Gioi, HV, Mallikarjuna, MG, Mittal, S, Banduni, P, Jha, SK, Dash, P, Basappa, AM, Gadag, RN,

Rao, AR and Thirunavukkarasu, N (2017). Variable level of dominance of candidate genes controlling

drought functional traits in maize hybrids. Frontiers in Plant Science, 8:940.

36. Grover, M, Kumar, S and Kumar, R (2017). Quantum mechanics and biology—some new thoughts.

International Journal of Scientific Research in Science and Technology, 3(1): 173-174.

37. Grover, M, Mishra, DC, Sharma, N, Srivastava, S and Rai, A (2017) The maximum computational

capacity of proteins involved in abiotic stress differs significantly from the proteins not involved in

abiotic stress. National Academy Science Letters, 40(4): 233-235.

38. Guha, S, Sud, UC and Chandra, H (2018). Calibration Approach Based Chain Ratio Type and

Chain Product Type Estimators in Two Phase Sampling Involving Two Auxiliary Variables. Journal of

Statistical Theory and Practice,12(2) 188-205.

39. Gupta, OP, Nigam, D, Dahuja, A, Kumar, S, Vinutha, T, Sachdev, A and Praveen, S (2017):

Regulation of isoflavone biosynthesis by mirnas in two contrasting soybean genotypes at different seed

developmental stages. Frontiers in Plant Sciences, 8:567.

40. Gupta, S, Singh, Y, Kumar, Raj, HU, Rao, AR and Varadwaj, PK (2018). Identification of novel

abiotic stress proteins in Triticum aestivum through functional annotation of hypothetical proteins.

Interdisciplinary Sciences- Computational Life Sciences, 10 (1): 205-220.

41. Gurung, B, Singh, KN, Shekhawat, R S and Yeasin, Md (2017). An insight into technology diffusion

of tractor through Weibull growth model. Journal of Applied Statistics, 45(4): 682-696.

42. Himanshu, Chaturvedi, KK, Bandopadhyay, A and Jain, S (2017). PATRICIA Trie based time and

memory optimization for fast network motif search. Indian Journal of Animal Sciences, 87(4):512-519.

43. Iquebal, MA, Jaiswal, S, Mahato, AK, Jayaswal, PK, Angadi, UB, Kumar, N, Sharma, N, Singh, A,

Srivastav, M, Praksh, J, Singh, SK, Khan, K, Mishra, RK, Rajan, S, Bajpai, A, Sandhya, BS, Nischita,

P, Ravishankar, KV, Dinesh, MR, Rai, A, Kumar, D, Sharma, TR and Singh, NK (2017). MiSNPDb: a

web based genomic resources of tropical ecology fruit mango (Mangifera indica L.) for phylogeography

and

varietal differentiation. Scientific Reports 7, 14968.

44. Iquebal, MA, Soren, KR, Gangwar, P, Shanmugavadevel, PS, Aravind, K, Singla, D, Jasrotia, RS,

Jaiswal, S, Chaturvedi, SK, Singh, NP, Varshney, RK, Rai, A and Kumar, D (2017). Discovery of

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putative herbicide resistance genes and its regulatory network in chickpea using transcriptome

sequencing. Frontiers in Plant Science, 8:958.

45. Iquebal, MA, Tomar, RS, Parakhia, MV, Singla, D, Jaiswal, S, Rathod, VM, Padhiyar, SM, Kumar,

Ne, Rai, A and Kumar, D (2017). Draft whole genome sequence of groundnut stem rot fungus Athelia

rolfsii revealing genetic architect of its pathogenicity and virulence. Scientific Reports, 7,5299.

46. Islam, S, Sharma, RK, Chhokar, RS, Dhar, S, Sabir, N, Chaturvedi, KK, Singh, R, Farooqi, MS and

Sharma, K (2017). Expert system for the identification and control of weeds in wheat crop. Annals of

Agricultural Research, New Series. 38(2):1-9.

47. Jaiswal, S, Antala, TJ, Kheni, J, Chopra, M, Mandavia, MK, Tomar, RS, Jasrotia, RS, Iquebal, MA,

Angadi, UB, Rai, A and Kumar, D (2018) Transcriptomic signature of drought response in pearl millet

(Pennisetum glaucum (L.) and development of web-genomic resources. Scientific Reports: 8, 3382.

48. Jaiswal, S, Sheoran, S, Arora, V, Angadi, UB, Iquebal, MA, Raghav, N, Aneja, B, Kumar, D,

Khokar, RS, Sharma, P, Singh, GP, Rai, A, Tiwari, R and Kumar, D (2017). Putative Microsatellite DNA

Marker-Based Wheat Genomic Resource for Varietal Improvement and Management. Frontiers in Plant

Sciences, 8:2009.

49. Jalgaonkar, K, Jha, S, Nain, L and Iquebal, MA (2017). Quality changes in pearl millet based pasta

during storage in flexible packaging. Journal of Agricultural Engineering, 54(3): 22- 31.

50. Jana, C, Dahiya, S, Mahajan, VK, Das, TK and Alam, NM (2016). A Web-based System on

Herbicide Recommendation for Field Crops in India. Journal of the Indian Society of Agricultural

Statistics, 70(3): 287–294.

51. Jangam, K, Bhuvaneswari, T, Krishnan, AN, Katneni, VK, Avunje, S and Grover, M (2018). Draft

Genome Sequence of Vibrio parahaemolyticus Strain VP14, Isolated from a penaeus vannamei culture

farm. Genome Announcements, 6 (11): e00149-18.

52. Jasna, VK, Burman, RR Padaria, RN Sharma, JP, Varghese, E, Chakrabarti, B and Dixit, S

(2017) Impact of climate resilient technologies in rainfed agro-ecosystem, Indian Journal of Agricultural

Sciences, 87 (6): 816–24.

53. Jasrotia, RS, Iquebal, MA, Yadav, PK, Kumar, N, Jaiswal, S, Angadi, UB, Rai, A and Kumar, D

(2017). Development of transcriptome based web genomic resources of yellow mosaic

disease in Vigna mungo. Physiology and Molecular Biology of Plants, 23(4): 767-777).

54. Jerome, A, Srivastava, SK, Sharma RK, Sarkar, SK and Kumar, R (2017). Follicular dynamics,

hormonal and biochemical profile across seasons in buffaloes. Indian Journal of Animal Sciences, 87

(7): 824–828.

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55. Jha, UC, Jha, R, Bohra, A, Parida, SK, Kole, PC, Thakro, V, Singh, D and Singh, NP (2018).

Population structure and association analysis of heat stress relevant traits in chickpea (Cicer arietinum

L.). 3 Biotech, 8(1):43.

56. Junaid, A, Kumar, H, Rao, AR, Patil, AN, Singh, NK and Gaikwad, K (2018). Unravelling the

epigenomic interactions between parental inbreds resulting in an altered hybrid methylome in

pigeonpea. DNA Research, dsy008.

57. Karak, T, Bora, K, Paul, RK, Das, S, Khare, P, Dutta, AK and Boruah, RK (2017). Paradigm shift of

contamination risk of six heavy metals in tea (Camellia sinensis L.) growing soil: A new approach

influenced by inorganic and organic amendments. Journal of Hazardous Materials, 338: 250–264.

58. Kaur, RP, Chaudhary, B and Alam, W (2017). Associations among yield and yield contributing traits

of potato in North-western Plains of India. The Indian Journal of Agricultural Sciences, 87(10): 1409–

11.

59. Kaustav, A, Biswas, A, Gupta, AK and Chandra, H (2017). District level crop yield estimation using

calibration approach. Current Science, 112(9): 1927-1931.

60. Khatal, SA, Ali, S, Hasan, M, Singh, DK, Mishra, AK and Iquebal, MA (2018). Assessment of

groundwater recharge in a small ravine watershed in semi-arid region of India. International Journal of

Current Microbiology and Applied Sciences, 7(2): 2552-2565.

61. Kour, S, Pradhan, UK, Paul, RK and Vaishnav, PR (2017). Forecasting of Pearl millet productivity

in Gujarat under time series framework. Economic Affairs, 62(1): 121-127.

62. Krishna, DK, Kumbhare, NV, Padaria, RN, Singh, P and Bhowmik, A (2017). Socio-technological

empowerment of rural households through community radio stations.Journal of Community Mobilization

and Sustainable Development, 12(1): 56-60.

63. Krishna, G, Sahoo, RN, Pradhan, S, Ahmad, T and Sahoo, PM (2017). Hyperspectral satellite

data analysis for pure pixels extraction and evaluation of advanced algorithms for LULC classification.

Earth Science Informatics, 11(2):159-170.

64. Krishnakumar, P, Mani, I, Gupta, RK, Kumar, A, Jha, SK, Singh, B, Sarkar, SK And Lande, SD

(2017) Development of barnyard millet based nutri-functional snack food: A response surface

methodology approach. Indian Journal of Agriculture Sciences, 87 (11): 1430–6.

65. Kumar, D and Farooqi, MS (2017). The type-I generalized half logistic distribution based on

generalized order statistics. International Journal of Agricultural and Statistical Sciences, 13 (1): 337-

344.

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66. Kumar, DK, Ramasubramanian, V, Krishnan, M, Ananthan, PS, Vinay, A and Kumar, RS (2017).

Socio-economic status of fishers of coastal India. International Journal of Current Microbiology and

Applied Sciences, 6(9), 2267-2280.

67. Kumar, P, Kaur, R, Suman, A, Singh, A and Kumar, P (2017). Nickel Bioremediation by Different

Wetland Macrophytes Root Associated Bacteria. Chemical Science Review and Letters. 6(22): 987-

994.

68. Kumar, P, Lal, K, Mukherjee, A, Pradhan, UK, Ray, M and Prakash, O (2018). Advanced

rowcolumn

designs for animal feed experiments. Indian Journal of Animal Sciences, 88 (4):499- 503.

69. Kumar, RR and Jha, GK (2017). Examining the Co-movement between energy and agricultural

commodity prices in India, Journal of the Indian Society of Agricultural Statistics, 71(3): 241–252.

70. Kumar, RR, Goswami, S, Shamim, M, Dubey, K, Singh, K, Singh, S, Kala,YK, Ravi, RK, Niraj,

Sakhrey, A, Singh, GP, Grover, M, Singh, B, Rai, GK, Rai, AK, Chinnusamy, V and Praveen, S (2017).

Exploring the heatresponsive chaperones and microsatellite markers associated with terminal heat

stresstolerance in developing wheat. Functional and Integrative Genomics, 17(6):621-640.

71. Kumar, S, Jangam, AK, Akhil, V, Rajendran, V, Katneni, VK, Sahaya, RJJ, Grover, M, Nagaleekar,

VK, Alavandi, SV and Vijayan, KK (2017). Draft genome sequence of the luminescent strain Vibrio

campbellii LB102, isolated from a black tiger shrimp (Penaeus monodon) broodstock rearing system.

Genome Announment, 5:e00342-17.

72. Kumar, S, Sangeetha, V, Singh, P, Burman, R., Bhowmik, A and Venkatesh, P (2017). Factors

influencing stakeholders to use Rice Knowledge Management Portal (RKMP). Journal of Community

Mobilization and Sustainable Development. 12 (2): 179-187.

73. Kumar, S, Sisodia, BVS, Kumar, S, Singh, D and Basak, P (2017). On various approaches for

estimating finite population total in survey sampling under ratio super population model. International

Journal of Agricultural and Statistical Sciences, 13(2): 677-682.

74. Kumar, S, Sisodia, BVS, Singh, D and Basak, P (2017). Calibration approach based estimation of

finite population total in survey sampling under super population model when study variable and

auxiliary variable are inversely related. Journal of Reliability and Statistical Studies, 10(2): 83-93.

75. Lall, S, Jaggi, S, Varghese, E, Varghese, C and Bhowmik, A (2018). An algorithmic approach to

construct D-optimal saturated designs for logistic model. Journal of Statistical Computation and

imulation. 88(6): 1191-119.

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76. Mahalingaraya, Rathod, S, Sinha K, Shekhawat RRS, and Chavan, S (2018). Statistical Modeling

and Forecasting of Total Fish Production of India: A Time Series Perspective. International Journal

Current Microbiology Application Sciences, 7(3): 1698- 1707.

77. Mandal, BN and Dash, S (2017). On balanced incomplete Latin square designs. Communications

in Statistics: Theory and Methods, 46(13): 6258-6263.

78. Maragal, SY, Singh, AK, Behera, TK, Munshi, AD and Dash, S (2018). Effect of planting time and

fertilizer dose on growth, yield and quality of parthenocarpic cucumber (Cucumis sativus) grown under

polyhouse and nethouse conditions, Indian Journal of Agricultural Sciences, 88 (1): 63–69.

79. Meena, VS, Mittal, RK, Choudhury, PR, Rathod, S, Mahadevaswamy, HK and Choudhary, R

(2017). Utilization of molecular and morphometric tools for assessment of genetic diversity of Rice

bean [Vigna umbellate (Thunb.)]. International Journal of Current Microbiology and Applied Sciences,

6(5): 2882-2892.

80. Meher, PK and Rao, AR (2017). A Nonparametric Regression based Computational Approval for

Prediction of Donor Splice Sites. Journal of the Indian Society of Agricultural Statistics, 71(2): 159-166.

81. Meher, PK, Sahu, TK, Banchariya, A and Rao, AR (2017). DIRProt: A computational approach for

discriminating insecticide resistant proteins from non-resistant proteins. BMC Bioinformatics, 18:190.

82. Meher, PK, Sahu, TK, Gahoi, S, and Rao, AR (2018). ir-HSP: Improved recognition of heat shock

proteins, their families and subtypes based on g-spaced di-peptide features and support vector

machine. Frontiers in Genetics, 8, 235.

83. Meher, PK, Sahu, TK, Saini, V and Rao, AR (2017). Predicting antimicrobial peptides with improved

accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s

general PseAAC. Scientific Reports, 7:42362.

84. Mishra, DC, Smita, S, Singh I, Devi, MN, Kumar, S, Farooqi, MS, Chaturvedi, KK and Rai, A

(2017). Prediction of novel putative miRNAs and their targets in buffalo. Indian Journal of Animal

Sciences, 87(1): 59–63.

85. Mitra, D and Paul, RK (2017). Hybrid timeseries models for forecasting agricultural commodity

prices. Model Assisted Statistics and Applications, 12: 255–264.

86. Mitra, D, Paul, RK and Pal, S (2017). Hierarchical time-series models for forecasting oilseeds and

pulses production in India. Economic Affairs, 62 (1): 103-111.

87. Mitra, D, Paul, RK and Paul, AK (2017). Statistical modelling for forecasting volatility in potato

prices using ARFIMA-FIGARCH model. Indian Journal of Agricultural Sciences, 88 (2): 268–72.

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88. Mitra, D, Paul, RK, Kumar, A and Panwar, S (2017). Multivariate time series model for forecasting

Urad price in different zones of India. Indian Journal of Agricultural Marketing, 31 (3): 36-41.

89. Mittal, S, Arora, K, Rao, AR, Mallikarjuna, M, Gupta, HS and Thirunavukkarasu, N (2017). Genomic

selection for drought tolerance using genome-wide SNPs in maize. Frontiers in Plant Science, 8:550.

90. Mittal, S, Mallikarjuna, MG, Rao, AR, Jain, PA and Dash, PK (2017). Comparative analysis of

CDPK family in maize, Arabidopsis, rice and sorghum revealed potential targets for drought tolerance

improvement. Frontiers in Chemistry, 5: 115.

91. Moury, PK and Ahmad, T (2017). Estimation of cotton yield at tehsil level using double sampling

approach under stratified two stage sampling design framework. International Journal of Agricultural

Science and Research, 7 (5): 249-256.

92. Mugaonkar, P, Kumar, NR, Shelar, G, Polanco, JF, Ramsubramanian, V and Biradar, RS (2017).

Case study on the nonprice factors and consumer behavior for Pangasius (Pangasianodon

hypophthalmus) (Valenciennes, 1840) consumption in Pune city, India, Fishery Technology, 54: 279 –

286.

93. Naveena, K, Singh, S, Rathod, S and Singh, A (2017). Hybrid ARIMA-ANN modelling for

forecasting the price of robusta coffee in India. International Journal of Current Microbiology and

Applied Sciences,6(7):1721-1726.

94. Nepolean, T, Sharma, R, Singh, N, Shiriga, K, Mohan, S, Mittal, S, Mittal, S, Mallikarjuna,MG, Rao,

AR, Dash, PK, Hossain, F and Gupta, HS (2017). Genomewide Expression and Functional Interactions

of Genes under Drought Stress in Maize. International Journal of Genomics, 2017, 2568706.

95. Noorzai, AU, Choudhary, AK, Rana, RS and Parsad, R (2017). Growth behaviour, productivity and

profitability of promising mungbean varieties in semi-arid region of Afghanistan. Annals of Agricultural

Research, 38(1): 78-86. http://krishi.icar.gov.in/jspui/ handle/123456789/6042.

96. Parihar, AK, Basandrai, AK, Saxena, DR, Kushwaha, KPS, Chandra, S, Sharma, K, Singha, KD,

Singh, D, Lal, HC and Gupta, S( 2017) Biplot evaluation of test environments and identification of lentil

genotypes with durable resistance to fusarium wilt in India. Crop and Pasture Science. 68(10-11):

1024-1030.

97. Parui, S, Parsad, R and Mandal, BN (2018). A-optimal completely randomized designs for

incomplete factorial structures with three factors. Statistics and Probability Letters, 137: 343-348.

98. Paul, AK, Paul, RK, Prabhakaran, VT, Singh, I and Singh, O (2017). Study of different parametric

stability measures when the basic data/variables are non-normal. Indian Journal of Agricultural

Sciences, 87 (9): 1252–1256.

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99. Paul, NC, Sahoo, PM, Rai, A, Ahmad, T, Sahoo, RN, Krishna, G and Lal, SB (2018) Acreage

Estimation of mango orchards using hyperspectral satellite data. Indian Journal of Horticulture, 75(1):

27-33.

100. Paul, RK (2017). Modelling long memory in maximum and minimum temperature series in India.

Mausam, 68 (2):317-326.

101. Paul, RK and Anjoy, P (2017). Modeling fractionally integrated maximum temperature series in

India in presence of structural break. Theoretical and Applied Climatology, 2017:1-9.

102. Prabha, R, Singh, DP, Sinha, S, Ahmad, K and Rai, A (2017). Genome-wide comparative analysis

of codon usage bias and codon context patterns among cyanobacterial genomes. Marine Genomics,

32: 31-39.

103. Prajneshu, Ghosh, H and Pandey, NN (2017). Fitting of von Bertalanffy growth model: Stochastic

differential equation approach. Indian Journal of Fisheries, 64(3): 24-28.

104. Prakash, A, Singh, HN and Shekhawat, RS (2017). Resource Use Efficiency in Hybrid and Inbred

Rice Production in Uttarakhand. Asian Journal of Agricultural Extension, Economics and Sociology,

18(1): 1-7.

105. Prakash, A, Singh, HN, Shekhawat, RS and Sandu, S (2017). Comparative Analysis on Economic

Efficiency of Hybrid and Inbred Rice Production in Udham Singh Nagar District of Uttarakhand. Journal

of Economics, Management and Trade, 18(4): 1-7.

106. Prakash, A, Singh, HN, Shekhawat, RS and Sandu, S (2017). Constraints Faced by Farmers in

Production of Inbred and Hybrid Rice in Udham Singh Nagar District of Uttarakhand, India.

International Journal of Current Microbiology and Applied Sciences, 6(12): 2243-2247.

107. Pratheepa, M, Venkatesan, T, Gracy, G, Jalali, SK, Rangheswaran, R and Rai, A (2018). An

Integrated Molecular Database on Indian Insects. Bioinformation, 14 (2): 42.

108. Purushottama, GB, Thakurdas, Ramasubramanian, V, Dash, G, Akhilesh, KV, Ramkumar, S,

Kizhakudan, SJ, Singh, VV and Zacharia, PU (2017). Reproductive biology and diet of grey sharpnose

shark Rhizoprionodon oligolinx Springer, 1964 (Chondrichthyes:Carcharhinidae) from the north-eastern

Arabian Sea. Indian Journal of Fisheries, 64(4): 9-20.

109. Qureshi, NW, Krishnan, M, Wani, SA, Ramasubramanian, V, Sivaramane, N and

Sundaramoorthy, C (2017). Negative externalities in Kashmir lake fisheries: Transformation in species

patronage, use priorities and policy. Indian Journal of Agricultural Economics, 72(1): 89-101.

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110. Ramasubramanian, V, Ananthan, PS, Krishnan, M and Vinay, A (2017). Technology forecasting in

fisheries sector: Cross impact analysis and substitution modeling. Journal of the Indian Society of

Agricultural Statistics, 71(3): 231–239.

111. Rathod, S, Mishra, GC and Singh, KN (2017). Hybrid time series models for forecasting banana

production in Karnataka State, India. Journal of the Indian Society of agricultural Statistics, 71(3):193-

200.

112. Rathod, S, Singh, KN, Arya, P, Ray, M, Mukherjee, A, Sinha, K, Kumar, P and Shekhawat, RS

(2017). Forecasting maize yield using ARIMA – Genetic Algorithm approach. Outlook on Agriculture,

46(4):265- 271.

113. Rathod, S, Singh, KN, Patil, SG, Naik, RH, Ray, M and Meena, VS (2018). Modeling and

forecasting of oilseed production of India through artificial intelligence techniques. The Indian Journal of

Agricultural Sciences, 88(1)22-27.

114. Rathod, S, Singh, KN, Paul, RK, Meher, SK, Mishra, GC, Gurung, B, Ray, M and Sinha, K (2017).

An improved ARFIMA model using maximum overlap discrete wavelet transform (MODWT) and ANN

for forecasting agricultural commodity price. Journal of the Indian Society of Agricultural Statistics,

71(2): 103–111.

115. Ray, M, Rai, A, Singh, KN and Ramasubramanian, V (2017). Modeling and forecasting of hybrid

rice yield using a grey model improved by the genetic algorithm. International Journal of Agricultural

and

Statistical Sciences, 13 (2): 563-566.

116. Ray, M, Rai, A, Singh, KN, Ramasubramanian, V and Kumar, A (2017). Technology forecasting

using time series intervention based trend impact analysis for wheat yield scenario in India.

Technological Forecasting and Social Change, 118: 128-133.

117. Roy, HS, Paul, RK, Bhar, LM and Kumar, A (2017). Modelling binary data by Bayesian logistic

regression with random intercepts. Journal of the Indian Society of Agricultural Statistics, 71(3): 207-

215.

118. Saha, ND, Chaudhary, A, Singh, SD, Walia, S, Das, TK, Singh, D, Pant, B, Bhowmik, A, Gurung,

B and Pathak, H (2016). Climate change variables induced soft root causing plant pathogen to produce

new quorum sensing (cell to cell communication) signals for enhanced pathogenesis. Indian

Phytopathology, 69(4): 260-265.

119. Salas, S, Ojha, SN, Ramasubramanian, V, Kumar, VP and Ananthan, PS (2017).

Entrepreneurship based empowerment among fisherwomen self help groups of Kerala, Indian Journal

of Fisheries, 64(4): 106-111.

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120. Samanta, S, Paul, RK and Roy, A (2017). Modelling repeated measures with multiple endpoints.

Journal of the Indian Society of Agricultural Statistics, 71(2): 113–120. 121. Sarkar, KA, Jaggi, S,

Bhowmik, A, Varghese, E and Varghese, C (2017). Trend resistant neighbour balanced bipartite block

designs. Journal of the Indian Society of Agricultural Statistics, 71(1): 53-59.

122. Sarkar, S, Padaria, RN and Bhowmik, A (2017). Analyzing farmers’ vulnerability and adaptation

strategy to climate change in arid ecosystem of India. Range Management and Agroforestry, 38(1):

127-133.

123. Saurav, S, Varghese, C, Varghese, E and Jaggi, S (2017). Experimental designs for sensory trials

in two sessions. Journal of the Indian Society of Agricultural Statistics, 71(2): 121-126.

124. Saxena, R, Singh, NP, Choudhary, BB, Balaji, SJ, Paul, RK, Ahuja, U, Joshi, D, Kumar, R and

Khan, MA (2017). Can livestock sector be the game changer in enhancing the farmers’ income?

Reinvesting thrust with special focus on dairy sector. Agricultural Economics Research Review, 30: 59-

76.

125. Sharma, L, Dalal, M, Verma, RK, Kumar, SVV, Yadav, SK, Pushkar, S, Kushwaha, SR, Bhowmik,

A and Chinnusamy, V (2018). Auxin protects spikelet fertility and grain yield under drought and heat

stresses in rice. Environmental and Experimental Botany, 150: 9–24.

126. Sharma, S, Jaiswal, S and Archak, S (2017). Annotation of gene sequence and protein structure

of brinjal EDS1. Bioinformation, 13 (3): 54-59.

127. Sindhu, T, Venkatesan, T, Gracy, G Jalali, SK and Rai, A (2017). Exploring the

resistancedeveloping

mutations on ryanodine receptor in diamondback moth and binding mechanism of its activators using

computational study. Biochemical Engineering Journal, 21:59-72.

128. Singh, A and Sharma, A (2017). MAICBR: A Multi-agent Intelligent Content-Based

Recommendation System. Springer Lecture Notes in Networks and Systems, 10: 399-411.

129. Singh, A, Dass, A, Singh, CV, Dhar, S, Sudhishri, S, Das, K and Sarkar, SK (2017). Growth,

Productivity and nutrient concentration of aerobic rice (Oryza sativa L.) under different planting

methods, irrigation schedules and soil adjuvant applications. Annals of Agricultural Sciences, 38(4):

368-374.

130. Singh, D, Singh, CK, Kumari, S, Tomar,Ram Sewak Singh, Karwa, Sourabh, Singh, Rajendra,

Singh, Raja Bahadur, Sarkar, SK and Pal, M (2017). Discerning morphoanatomical, physiological and

molecular multiformity in cultivated and wild genotypes of lentil with reconciliation to salinity stress.

PLoS ONE, 12(5):e0177465.

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131. Singh, I, Smita, S, Mishra, DC, Kumar, S, Singh, BK and Rai, A (2017). Abiotic Stress Responsive

miRNA-Target Network and Related Markers (SSR and SNP) in Brassica juncea. Frontiers in Plant

Science, 8:1943.

132. Singh, NO, Gopimohan, N, Singh, Paul, AK, Kumar, S and Gangmei, S (2017). Modelling of

Population Growth for s Seasonal Incidence of Mustart Aphid. Lipaphis erysimi. Journal of the

Indian Society of Agricultural Statistics, 71(2): 155–157.

133. Sinha, K, Gurung, B, Paul, RK, Kumar, A, Panwar, S, Alam, W, Ray, M and Rathod, S (2017).

Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of

black pepper. Journal of the Indian Society of Agricultural Statistics, 71(1): 21-28.

134. Sinha, K, Panwar, S, Alam, W, Singh, KN, Gurung, B, Paul, RK and Mukherjee, A (2018). Price

volatility spillover of Indian onion markets: A comparative Study. Indian Journal of Agricultural

Sciences, 88(1):114-20.

135. Sundaram, PK, Mani, I, Kumar, A, Lande, SD, Sarkar, SK, Manjaiya, KM, Sahoo, RN And Lal, SK

(2017). Effect of liquid urea ammonium nitrate application at varying depths on root and shoot growth in

wheat (Triticum aestivum). Indian Journal Agricultural Sciences, 87 (11): 1288–94.

136. Tandon, G, Singh, S, Kaur, S, Sarika, Iquebal, MA, Rai, A and Kumar, D (2017). Computational

deciphering of biotic stress associated genes in tomato (Solanum lycopersicum). Genomics Data, 14:

82-90.

137. Verma, SK, Jasrotia, RS, Iquebal, MA, Jaiswal, S, Angadi, UB, Rai, A and Kumar, D (2017)

Deciphering genes associated with root wilt disease of coconut and development of its transcriptomic

database (CnTDB). Physiological and Molecular Plant Pathology, 100:255-263.

138. Vinay, A, Ramasubramanian, V, Azeez, PA, Kumar, R and Kumar, DK (2017). Economic analysis

of troll line fisheries in Androth, Lakshadweep, India. International Journal of Current Microbiology and

Applied Sciences, 6(11): 3172-3179.

139. Vinay, A, Ramasubramanian, V, Krishnan, M and Ananthan, PS (2018). Total factor productivity of

Tuna fisheries in Lakshadweep. Indian Journal of Geomarine Sciences, 47(2): 319-32.

140. Yashavanth, BS, Singh, KN, Paul, AK and Paul, RK (2017). Forecasting prices of coffee seeds

using Vector Autoregressive Time Series Model. Indian Journal of Agricultural Sciences, 87 (6): 754–

758.

141. Ziar, YK, Das, TK, Hakimi, AR, Shekhawat, K and Paul, AK (2017) Chemical weed management

in wheat (Triticum aestivum) under semi-aridconditions of Kandahar, Afghanistan. Indian Journal of

Agronomy, 62 (3); 359-362.

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2018-19

1. Aditya, K., Bhowmik, A., Biswas, A. and Das, S. (2018). Calibration estimators under two stage

sampling design when population level auxiliary information was not available. Journal of the Society

for Application of Statistics in Agriculture and Allied Sciences-Rashi, 2(2): 01-06.

2. Aditya, K., Chandra, H., Bharadwaj, A. and Rama. (2018). Development of software for digitization of

collected data under a pilot study to estimate crop area and production based on the sample sizes

recommended by professor Vaidyanathan committee report. Journal of the Indian Society of

Agricultural Statistics, 72(1):15-26.

3. Aditya, K., Chandra, H., Sud, U.C. and Gupta, A.K. (2018). Estimation of seed feed wastage ratio of

major food grain crops in Odisha. Journal of the Indian Society of Agricultural Statistics, 72(3):201-204.

4. Ahirwar, R. N., Mishra, V. K., Chand, R., Budhlakoti, N., Mishra, D.C., Kumar, S., Singh, S. and

Joshi, A. K. (2018). Genome-wide association mapping of spot blotch resistance in wheat association

mapping initiative (WAMI) panel of spring wheat (Triticum aestivum L.). PLoS ONE, 13(12): e0208196.

5. Alam, W., Ray, M., Kumar, R. R., Sinha, K., Rathod, S. and Singh, K. N. (2018). Improved ARIMAX

model based on ANN and SVM approaches for forecasting rice yield using weather variables. Indian

Journal of Agricultural Sciences, 88 (12): 1909-1913. 6. Alam, W., Sinha, K., Kumar, R. R., Ray, M.,

Rathod, S., Singh, K.N. and Arya, P. (2018). Hybrid linear time series approach for long term

forecasting of crop yield. Indian Journal of Agricultural Sciences, 88 (8): 1275-1279.

7. Anjoy, P., Chandra, H. and Basak, P. (2018). Estimation of disaggregate-level poverty incidence in

Odisha under area-level hierarchical bayes small area model. Social Indicators Research, 144(1): 251-

273.

8. Anokhe, A., Mandel, B., Kumar, R., Sharma, K., Ranjan, R. and Subramanian, S. (2018).

Biochemical charecterisation of lipase in host specific Bemisia tabaci (Gennadius) (Hemiptera:

Aleyrodidae) population collected from different agro ecological zone. Journal of Entomology and

Zoology Studies, 6(6): 1304- 1310.

9. Anuja, A. R., Kar, A., Kumar, P., Jha, G. K. and Singh, B. K. (2018). Analysis of factors triggering

distress migration in Bundelkhand region of central India. Economic Affairs, 63(4): 1061-1065.

10. Arora, S., Sehgal, M., Srivastava, D. S., Arora, S. and Sarkar, S. K. (2019). Rice pest management with

reduced risk pesticides in India. Environmental Monitoring and Assessment, 191: 241.

http://krishi.icar.gov.in/

jspui/handle/123456789/17706

11. Aswal, K., Jaggi, S., Varghese, E. and Varghese, C. (2018). Neighbour balanced designs for diallel

cros experiments. Journal of the Indian Society of Agricultural Statistics, 72(2): 89-96.

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29

12. Baffour, B., Chandra, H. and Martinez, A. (2019). Localised estimates of dynamics of

multidimensional disadvantage: an application of the small area estimation technique using Australian

survey and census data. International Statistical Review, 87(1): 1-23.

13. Baliwada H., Sharma, J.P., Burman R.R., Nain, M.S., Venkatesh, P. and Kumar A. (2017).

Economic imapct assessment of farmer- led innovations. International Journal of Agriculture

Innovations and Research, 6(1): 14-18. http://krishi.icar.gov.in/jspui/ handle/123456789/11863

14. Basak, P., Sud, U. C., and Chandra, H. (2018). Calibration estimation of regression coefficient

for two-stage sampling design using single auxiliary variable. Journal of the Indian Societyof

Agricultural Statistics, 72 (1): 1-6.

15. Bhar, L.M., Ramasubramanian V, Arora, A., Marwaha, S. and Parsad, R. (2019). Era of Artificial

Intelligence: prospects for Indian Agriculture. Indian Farming, 69(03): 10-13.

http://krishi.icar.gov.in/jspui/ handle/123456789/19207

16. Bijarniya H., Khura, T. K., Mani, I., Kushwaha, H. L., Lande, S. D. and Sarkar, S. K. (2019).

Development of liquid urea ammonium nitrate fertilizer foliar application system for enhanced

nutrient use efficiency. Indian Journal of Agricultural Sciences, 89(1): 22-27.

17. Biswas, A., Rai, A. and Ahmad, T. (2018). Rescaling bootstrap technique for variance estimation for

ranked set samples in finite population. Communications in Statistics- Simulation and Computation, 1-

15.

18. Budhlakoti, N., Mishra, D. C., Rai, A., Lal, S. B. Chaturvedi, K. K. and Kumar, R. R. (2019). A

comparative study of single trait and multi trait genomic selection. Journal of Computational Biology,

26:1-13.

19. Chakraborty, D., Sehgal, V. K., Dhakar, R., Varghese, E., Das, D. K. and Ray, M. (2018). Changes

in daily maximum temperature extremes across India over 1951-2014 and their relation with cereal

crop productivity. Stochastic Environmental Research and Risk Assessment, 32 (11); 3067-3081

20. Chandra, H. (2018). Localised estimates of incidence of indebtedness in rural households by

combining survey and census data- an application of small area estimation technique. Agricultural

Economics Research Review. 31(1): 29-44.

21. Chandra, H., Aditya, K. and Kumar, S. (2018). Small area estimation under a log transformed area

level model. Journal of Statistical Theory and Practice, 12(3): 497-505.

22. Chandra, H., Aditya, K. and Sud, U. C. (2018). Localised estimates and spatial mapping of poverty

incidence in the state of Bihar in India-an application of small area estimation techniques. PloS one,

13(6): e0198502.

23. Chandra, H., Salvati, N. and Chambers, R. (2018). Small area estimation under a spatially

non-linear model. Computational Statistics and Data Analysis, 126: 19–38.

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24. Choudhary, K., Jha, G. K., Das, P., Chaturvedi, K. K. (2019). Forecasting potato price using

ensemble artificial neural networks. Indian Journal of Extension Education, 55(1):73-77.

25. Dalal, M., Sahu, S., Tiwari, S., Rao, A. R. and Gaikwad, K. (2018). Transcriptome analysis

reveals interplay between hormones, ROS metabolism and cell wall biosynthesis for drought-induced

root growth in wheat. Plant Physiology and Biochemistry, 130: 482-492.

26. Das, B., Sahoo, R. N., Biswas, A., Pargal, S., Krishna, G., Verma, R., Chinnusamy, V., Sehgal, V.

K. and Gupta, V. K. (2018). Discrimination of rice genotypes using field spectroradiometry. Geocarto

International, 1-28. https://www.tandfonline.com/doi/abs/10.1080/10106049.2018.1506507

27. Das, K., Pooniya, V., Choudhary, A. K., Swarnalakshmi, K., Bana, R. S., Parihar, C. M., and

Sarkar, S. K. (2018). Effect of integrated crop management modules on crop productivity and soil

physico–chemical and biological properties under direct-seeded basmati rice (Orzya sativa). Indian

Journal of Agricultural Sciences, 88 (7): 1142–1146. http://krishi.icar.gov.in/jspui/handle

/123456789/18708

28. Das, R., Arora, V., Jaiswal, S., Iquebal, M. A., Angadi, U. B., Singh, R., Shil, S., Rai, A. and Kumar

D. (2018). PolyMorphPredict: Web server for rapid polymorphic SSR locus discovery from whole

genome and transcriptome data. Frontiers in Plant Sciences, 9.

29. Das, S., Chandra, H. and Chambers, R. (2018). Robust mean squared error estimation for the ELL

based poverty estimates under heteroskedasticity - An application to poverty estimation in Bangladesh.

Statistics and Applications, 16 (1): 375‒397.

30. Das, S., Chandra, H., and Saha, U. R. (2019). District level prevalence of diarrhea disease among

under-five children in Bangladesh: an application of small area estimation approach. PLoS ONE, 14(2):

e0211062.

31. Das, S., Kumar, N., Das, R. and Aditya, K. (2019) Long term impact of nutrient management

options on yield, and nutrient uptake by soybean and soil properties under soybean (Glycine max)-

wheat (Triticum aestivum) cropping system in the Indian Himalayas. Indian Journal of Agricultural

Sciences, 89(3): 406-414.

32. Das, S., Rai, A., Mishra, D. C., Rai, S. N. (2018). Statistical approach for selection of biologically

informative genes. Gene. 655: 71- 83.

33. Dasgupta, P., Ahmad, T., Biswas, A. and Rai, A. (2018). A dual frame approach for estimating finite

population total using ranked set sampling. International Journal of Agricultural and Statistical

Sciences, 14(1): 409-418.

34. Dash, Sachikanta. and Dash, Sukanta. (2018). A new approach using template matching for

recognition of handwritten odia text, Journal of the Indian Society of Agricultural Statistics, 72(1): 77–

82. http://krishi.icar.gov.in/jspui/ handle/123456789/20243

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35. Deb C.K., Saket K., Das, M. and Marwaha, S. (2018). Microbial Taxonomy Ontology for

Agriculturally Important Microorganisms (AMO) Coupled with Sequence Alignment Reinforcement

Options. International Journal of Current Microbiology and Applied Science, 7(4): 3154-3166.

36. Farooqi, M. S. and Kumar, D. (2018). Moment generating functions of generalized exponential

distribution based on lower generalized order statistics. International Journal of Agricultural and

Statistical Sciences, 14 (1): 165-174.

37. Farooqi, M. S. and Kumar, D. (2018). On dagum distribution based on dual generalized order

statistics with applications. International Journal of Agricultural and Statistical Sciences, 14(2): 833-841.

38. Gautam, P., Ananthan, P.S., Ramasubramanian, V., Sharma, A. and Jha, B.C. (2018). An

assessment of fisheries and management in Rihand reservoir, Uttar Pradesh. Current Agriculture

Research Journal, 6(3):1-12. http://krishi.icar.gov.in/ jspui/handle/123456789/20980

39. Ghosh, H. and Prajneshu. (2018). Gompertz stochastic differential equation grwoth model with

exogenous variables and time-dependent diffusion. Journal of the Indian Society of Agricultural

Statistics, 72(2): 97-104.

40. Gopinath, P. P., Parsad, R. and Mandal, B. N. (2018) Two-dimensional balanced sampling plans

excluding adjacent units under sharing a border and island adjacency schemes. Communications in

Statistics - Simulation and Computation, 47(3): 712-720. http://krishi.icargov.in/jspui/handle/

123456789/6079

41. Gopinath, PP, Parsad, R and Mandal BN (2018). Incomplete row-column designs with factorial

treatment structure for estimating main effects with full efficiency, Communications in Statistics-Theory

and Methods, 47(18): 4493-4502. http://krishi.icar.gov.in/jspui/ handle/123456789/6113

42. Guha, S., Sud, U.C. and Chandra, H. (2018). Calibration approach based chain ratio type and

chain product type estimators in two phase sampling involving two auxiliary variables. Journal of

Statistical Theory and Practice, 12(2):188-205.

43. Gupta, M. C., Sharma, A. K., Singh, A. K., Roy, H. S. and Bhadauria, S. S. (2018). Assessment

of genetic divergence in thirty-five genotypes of oilseed Brassica species. Journal of Pharmacognosy

and Phytochemistry, 7(6): 2076-2080.

44. Gupta, M.C., Sharma, A.K., Singh, A.K., Roy, H. S., Bhadauria, S.S. (2019). Assessment of genetic

diversity in thirty-five genotypes of oilseed Brassica species using principal component analysis.

International Journal of Current Microbiology and Applied Sciences, 8(1): 378-386

45. Gurjar M.S., Kumar, R. Sing, D. and Bag, T.K. (2018). Development of fungicides spray schedule to

manage the late blight of potato in north eastern Himalayan region of India. Indian Phytopathology,

71(4): 504-512.

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46. Hanumanthaiah, R., Singh, A., Rathod, S. and Paul, R. K. (2018). Wavelet analysis for forecasting

prices and arrivals of black pepper in Karnataka, India. International Journal of Current Microbiology

and Applied Sciences, 7(5): 677-687.

47. Hukam, C., Rawal, S. V., Mithra, A., Arora, K., Kumar, V., Goel, N., Mishra, D. C., Chaturvedi,

K. K, Rai, A., Devi, S. V., Sharma, T. R. and Solanke, A. U. (2018). Genome-wide analysis in wild and

cultivated oryza species reveals abundance of NBS genes in progenitors of cultivated rice. Plant

Molecular Biology Reporter, 36(3): 373–386.

48. Islam S.N. and Mishra Rahul in (2019). “Expert System Shell as a Variety Selection Framework for

Multiple Cereal Crops, Annals of Agricultural Research in New Series, 40 (1): 68-76.

49. Islam, S. and Chandra, H. (2019). Small domain inference combining data from two independent

surveys. Journal of the Indian Society of Agricultural Statistics, 73(1): 67–77.

50. Islam, S., Chandra, H., Aditya, K. and Lal, S. B. (2018). Small area estimation under a spatial

model using data from two surveys. International Journal of Agricultural and Statistical Science, 14(1):

231-237.

51. Islam, S., Sharma, A. K., Farooqi, M. S. and Chaturvedi, K. K. (2018). Diagnosing wheat disease

using expert system. Journal of Indian Society of Agricultural Statistics, 72(3): 255- 259.

52. Islam,S., Chandra, H., Sud, U.C., Guha, S. and Basak, P. (2019). Calibration approach for

estimation of population ratio under double sampling. Journal of the Indian Society of Agricultural

Statistics, 73(1): 23–29.

53. Jaggi, S., Pateria, D. K., Varghese, C., Varghese, E. and Bhowmik, A. (2018). A note on circular

neighbor balanced designs. Communications in Statistics – Simulation and Computation, 47(10): 2896-

2905. http://krishi. icar.gov.in/jspui/handle/123456789/14378

54. Jaiswal, S., Iquebal, M. A., Arora, V., Angadi, U. B., Khokar, R. S., Sharma, P., Sheoran, S., Singh,

G. P., Rai, A., Kumar, T. and Ratan, D. (2019). Development of species specific putative miRNA and its

target prediction tool in wheat (Triticum aestivum L.). Scientific Reports, 9, 3790.

55. Jaiswal, S., Jadhav, P. V., Jasrotia, R. S., Kale, P. B., Kad, S. K., Moharil, M. P., Dudhare, M. S.,

Deshmukh, A. G., Mane, S. S., Nandanwar, R. S., Penna, S., Manjaya, J. G., Iquebal, M. A., Tomar, R.

S., Rai, A. and Kumar, D. (2018). Transcriptomic signature reveals mechanism of flower bud distortion

in witches’-broom disease of soybean (Glycine max). BMC Plant Biology, 19:26.

56. Jerome, A., Bhati, J., Mishra, D. C., Chaturvedi, K. K., Rao, A. R., Rai A., Sikka P. and Singh, I.

(2019). MicroRNA-related markers associated with corpus luteum tropism in buffalo (Bubalus bubalis).

Genomics. https:// www.sciencedirect.com/science/article/pii/ S0888754318303173?via%3Dihub

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57. Khatal, S., Ali, Aba., Hasan, S., Singh, M., Mishra, D. K., Kumar, A. and Iquebal, M. A. (2018).

Assessment of groundwater recharge in a small ravine watershed in semi-arid region of india.

International Journal of Current Microbiology and Applied Sciences, 7(2): 2552-2565.

58. Kour, Shitap, M. S., Pradhan, U. K., Paul, R. K., Arya, P. and Kumar, A. (2018). Forecasting of rice

yield based on weather parameters in kheda district of Gujarat, India. International Journal of

Agricultural and Statistical Sciences, 14(2): 611-615.

59. Krishna, D. K., Kumbhare, N. V., Padaria, R. N., Singh, P. and Bhowmik, A. (2016). Content

analysis and comparative study of good management practices followed by community radio stations.

International Journal of Agriculture Sciences, 10(12): 6485-6488. http://krishi.icar.gov.in/jspui/

handle/123456789/19281

60. Krishna, G., Sahoo R. N., Pradhan S., Ahmad T., Sahoo P. M. (2018) Hyperspectral satellite data

analysis for pure pixels extraction and evaluation of advanced classifier algorithms for LULC

classification. Earth Science Informatics, 11(2):159-170.

61. Krishna, G., Sahoo, R. N., Singh, P., Bajpai, V., Patra, H., Kumar, S., Dandapani, R., Gupta, V.K.,

Viswanathan, C., Ahmad, T. and Sahoo, P. M. (2019). Comparison of various modelling approaches for

water deficit stress monitoring in rice crop through hyperspectral remote sensing. Agricultural Water

Management, 213: 231-244.

62. Kshandakar, S., Verma, M. R., Singh, Y., Kumar, S. and Paul, A. K. (2018). Effect of clinical

mastitis on lactation curves of Murrah buffaloes. Indian Journal of Animal Sciences, 88(5): 585-592.

63. Kumar, A., Farooqi, M. S., Mishra, D. C., Kumar, S., Rai, A., Chaturvedi, K. K., Lal, S. B. and

Sharma, A. (2018). Prediction of miRNA and identification of their relationship network related to late

blight disease of potato. Microrna, 7(1):11-19.

64. Kumar, A., Kumar, M., Ray, M., Kumar, A., Kumari, S. and Bhargaw, P. K. (2018). Validity test of

forecast error of wheat yield through non-linear growth models in Bihar. International Journal of Current

Microbiology and Applied Sciences, 7(11): 321-326.

65. Kumar, A., Singh, M. P., Dash, S., Dash, Sachikanta, and Panwar, S. (2018). An application of

weibull process in reliability theory. Journal of the Indian Society of Agricultural Statistics, 72(2): 157–

163. http://krishi.icar. gov.in/jspui/handle/123456789/20296

66. Kumar, D. K., Ramasubramanian, V., Nisar, U., Kumar, R. S. and Vinay, A. (2018). Parity in socio-

economic status of fishers and primary producers of coastal India. Indian Journal of Economics and

Development, 6(8): 2320-9836. http://krishi.icar.gov.in/jspui/ handle/123456789/20981

67. Kumar, J., Saripalli, G., Gahlaut, V., Goel, N., Meher, P.K., Mishra, K.K., Mishra, P.C., Sehgal, D.,

Vikram, P., Sansaloni, C., Singh, S., Sharma, P.K., Gupta, P.K. (2019). Genetics of Fe, Zn, β-carotene,

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GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS.

Euphytica, 214:219

68. Kumar, M., Sarangi, A., Singh, D. K. and Rao, A. R. (2018). Modelling the grain yield of wheat in

irrigated saline environment with foliar potassium fertilization. Agricultural Research, 7(3): 321-337.

69. Kumar, P., Bhar, L. M., Paul, A. K., Das, S. and Roy, H. S. (2018). Development of composite

stability measure using multi criteria decisions making (MCDM) Techniques. Journal of the Indian

Society of Agricultural Statistics, 72(2): 121-128.

70. Kumar, P., Kumar, A., Panwar, S., Dash, S., Sinha, K. and Ray, M. (2018). Role of big data in

agriculture-a statistical prospective. Annals of Agricultural Research, 39(2): 210-215. http://krishi.icar.

gov.in/jspui/handle/123456789/20273

71. Kumar, P., Lal, K., Mukherjee, A., Pradhan, U. K., Ray, M. and Prakash, O. (2018). Advanced row-

column designs for animal feed experiments. The Indian Journal of Animal Sciences, 88(4): 499-503.

72. Kumar, R. R., Goswami, S., Singh, K., Dubey, K., Rai, G. K., Singh, B., Singh, S., Grover, M.,

Mishra D., Kumar, S., Bakshi, S., Rai, A., Pathak, H., Chinnusamy, V., Praveen, S. (2018).

Characterization of novel heatresponsive transcription factor (TaHSFA6e) gene involved in regulation

of heat shock proteins (HSPs) - A key member of heat stress-tolerance network of wheat. Journal of

Biotechnology, 279: 1-12.

73. Kumar, R. R., Singh, K., Ahuja, S., Tasleem, M., Singh, I., Kumar, S., Grover, M., Mishra, D., Rai,

G. K., Goswami, S., Singh G. P. Chinnusamy, V., Rai, A. and Praveen, S. (2018). Quantitative

proteomic analysis reveals novel stress-associated active proteins (SAAPs) and pathways involved in

modulating tolerance of wheat under terminal heat. Functional & Integrative Genomics, 19(2): 329–348.

74. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2017). Perceived utility and

users’ satisfaction about information provided by rice knowledge management portal (RKMP). Journal

of Global Communication, 10(2): 122-127.

75. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2017). Stakeholders’

perception about content and design of rice knowledge management portal (RKMP). Journal of

Pharmacognosy and Phytochemistry, 6(6): 2215-2219.

76. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2017). Constraints

experienced by agricultural scientists and extension personnel in rice knowledge management and

delivery: a case of Rice Knowledge Management Portal (RKMP). Indian Journal of Economics and

Development, 5(11): 1-8. http://krishi.icar.gov. in/jspui/handle/123456789/6055

77. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R. and Bhowmik, A. (2018). Constraints

experienced by agricultural scientists and extension personnel in rice knowledge management and its

delivery. Journal of Krishi Vigyan, 6(2), 22-26. http://krishi.icar.gov.in/ jspui/handle/123456789/6056

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78. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R., Bhowmik, A. and Kumar, S. A. (2018).

Constraints faced by farmers in utilizing rice related information through rice knowledge management

portal (RKMP). Indian Journal of Extension Education, 53(1): 84-89. http://krishi.

icar.gov.in/jspui/handle/123456789/19274

79. Kumar, S., Sangeetha, V., Singh, P., Burman, R. R., Bhowmik, A. and Meera, S. N. (2018).

Stakeholders’ information needs, information searching and sharing behaviour about rice related

information through rice knowledge management portal. International Journal of Current Microbiology

and Applied Sciences, 7(1): 3001-3015.

80. Kumar, S., Shiva Dhar., Yadav, R. S., Chandrakala, M., Kochewad, S. A., Meena, L. R., Meena, L.

K., Magan Singh., and Arpan Bhowmik. (2018). Effect of integrated k management on productivity and

nutrient use efficiency of maize-wheat cropping system. International Journal of Current Microbiology

and Applied Sciences, 7(08): 1052-1061.

81. Kumari, R., Singh, K., Jha, S. K., Singh, R. Sarkar, S. K. and Bhatia, N. (2018) Nutritional

composition and popping characteristics of some selected varieties of pearl millet (Pennisetum

glaucum). Indian Journal of Agricultural Sciences, 88(8): 1222–1226. http://krishi.icar.gov.in/jspui/

handle/123456789/17936

82. Kumari, V., Chandra, H. and Bhar, L.M. (2018). Calibration estimator of regression coefficient using

two auxiliary variables. Journal of Indian Society of Agricultural Statistics, 72(3): 193- 199.

83. Lall, S., Jaggi, S., Varghese, E., Bhowmik, A. and Varghese, C. (2018). Designs for fitting Poisson

regression model. Journal of Crop and Weed, 14(1): 117-121. http://krishi.icar.

gov.in/jspui/handle/123456789/6075

84. Lall, S., Jaggi, S., Varghese, E., Varghese, C. and Bhowmik, A. (2018). D-optimal designs for

exponential and Poisson regression models. Journal of the Indian Society of agricultural Statistics,

72(1): 27–32. http://krishi.icar.gov. in/jspui/handle/123456789/6053

85. Lama, A., Singh, K. N., Sinha, K., Shekhawat, R. S, Md. Yeasin. and Gurung, B. (2019). Modelling

transmission of potato price volatility in West Bengal markets: MGARCH approach. RASHI, 3(1): 33-

38.

86. Mahalingaraya, Rathod, S., Sinha, K., Shekhawat, R.S. and Chavan, S. (2018). Statistical modeling

and forecasting of total fish production of india: a time series perspective. International Journal of

Current Microbiology and Applied Sciences, 7(03): 1698-1707.

87. Mandal, B. N., Parsad, R. and Dash, S. (2018). Construction of a-optimal balanced treatment

incomplete block designs: an algorithmic approach, Communications in Statistics - Simulation and

Computation. 1-2

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88. Maragal, S. Y., Singh, A. K., Behera, T. K., Munshi, A. D., Dash, S. and Pachauri, N. (2018). Effect

of planting time and fertilizer dose on growth, yield and quality of bitter gourd grown under polyhouse

and net house conditions. Indian Journal of Horticulture, 75(3): 463-469. http://krishi.icar.

gov.in/jspui/handle/123456789/20297

89. Meher, P. K., Sahu, T. K., Gahoi, S., Tomar, R. and Rao, A. R. (2018). funbarRF: DNA barcode-

based fungal species prediction using multiclass Random Forest supervised learning model. BMC

Genetics, 20:2.

90. Meher, P. K., Sahu, T. K., Mohanty, J., Gahoi, S., Purru, S., Grover, M. and Rao, A. R. (2018).

nifPred: Proteome-wide identification and categorization of nitrogen-fixation proteins of diaztrophs

based on composition-transitiondistribution features using support vector machine. Frontiers in

Microbiology, 9:1100.

91. Meher, P. K., Sahu, T. K., Raghunandan, K., Gahoi, S., Choudhary, N. K. and Rao, A. R. (2018).

HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and

support vector machine. Scientific Reports, 9: 778.

92. Mishra D. C., Kumar, S., Lal, S. B., Saha, A., Chaturvedi, K. K., Budhlakoti, N. and Rai, A. (2018).

TAGPT: A web server for prediction of trait associated genes using gene expression data. Annals of

Genetics and Genetic Disorders, 1(1): 1003.

93. Misra, T., Priyadarshini, S., Arora, A., Marwaha, S., Roy, H. S. and Ray, M. (2018). A comparative

study of chlorophyll content estimation techniques through image analysis, Journal of Crop and Weed.

14(3):165-168

94. Mitra, D., Paul, R. K., Paul, A. K. and Bhar, L. M. (2018). Forecasting time-series allowing for long

memmory and structural break. Journal of Indian Society of Agricultural Statistics, 72(1): 49-60.

95. Mittal, S., Banduni, P., Mallikarjuna, M. G., Rao, A. R., Jain, P. A., Dash, P. and Nepolean, T.

(2018). Structural, functional and evolutionary characterization of major drought transcription factors

families in maize. Frontiers in Chemistry: Agricultural Biological Chemistry, 6:177.

96. Mondal, S., Das A., Pradhan S., Tomar, R. K., Behera, U. K., Sharma, A. R., Paul, A. K. and

Chakraborty, D. (2018). Impact of tillage and residue management on water and thermal regimes of a

sandy loam soil under pigeonpeawheat cropping system. Journal of the Indian Society of Soil Science,

66(1): 40-52.

97. Mozafari, S. H., Dass, A., Choudhary, A. K., Singh, T. and Sarkar, S. K. (2018). Influence of

moisture conservation and integrated nutrient management on growth and productivity of summer

maize in southern Afghanistan. Annals of Agricultural Sciences, 39(4): 354-360.

ttp://krishi.icar.gov.in/jspui/ handle/123456789/18709

98. Mukherjee, A., Singh, P., Ray, M., Satyapriya. and Burman, R. B. (2018). Enhancing farmers

income through farmers producers companies in India: status and roadmap. Indian Journal of

Agricultural Sciences, 88 (8): 1151-1161.

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99. Mukherjee, S., Mukherjee, A., Jasrotia R. S., Jaiswal, S., Iquebal, M. A., Longkumer, I., Mech, M.,

Vupru, K., Khate, K., Rajkhowa, C., Rai, A. and Kumar, D. (2019). Muscle transcriptome signature and

gene regulatory network in two divergent lines of a semi-domesticated bovine Mithun (Bos frontalis).

Genomics, https:// www.sciencedirect.com/science/article/pii/ S0888754318305172?via%3Dihub

100. Nigam, A. K., Tiwari, N. and Mandal, B. N. (2018). Controlled sampling: A review. Statistics and

Applications, 16(1): 145-169.

101. Pandirwar, A. P., Kumar, A., Mani, I., Gaikwad, B. B., Sawant, C. P. and Bhowmik, A. (2018). Soil

Bin studies on plug and finger-type onion seedling transplanting mechanisms. Journal of Agricultural

Engineering, 55(1): 1-14.

102. Panwar, S., Kumar, A., Singh, K. N., Sarkar, S. K., Gurung, B. and Rathore, A. (2018). Growth

modelling and forecasting of common carp and silver carp in culture ponds: A reparametrisation

approach. Indian Journal of Fisheries, 65(3): 99-104.

103. Panwar, S., Kumar, A., Singh, K.N., Paul, R.K., Gurung, B., Ranjan, R., Alam, N.M., Rathore, A.

(2018). Forecasting of crop yield using weather parameters–two step nonlinear regression model

approach. Indian Journal of Agricultural Sciences, 88(10): 117-119.

104. Pardhi, R., Singh, R. and Paul, R.K. (2018). Price Forecasting of Mango in Varanasi Market of

Uttar Pradesh. Current Agriculture Research Journal, 6(2): 218-224.

105. Parihar, A. K., Basandrai, A. J., Kushwaha, A.K., Chandra K. P. S., Singha, S., Bal, K. D.,Saxena,

R. S., Singh, D. and Gupta, S. (2018).Targeting test environments and rust-resistant genotypes in

lentils (Lens culinaris) by using heritability-adjusted biplot analysis. Crop & Pasture Science, 69: 1113–

1125.

106. Paul, N. C., Sahoo, P. M., Sahoo, R. N., Das, B., Biswas, A., Krishna, G., Rai, A., and Ahmad, T.

(2018). Comparative evaluation between multispectral and hyperspectral data for discrimination of fruit

crops using statistical techniques. Journal of the Indian Society of Agricultural Statistics, 72(3): 187-

191.

107. Paul, N.C., Sahoo, P.M., Ahmad, T., Sahoo, R.N., Krishna, G. and Lal, S.B. (2018) Acreage

estimation of mango orchards using hyperspectral satellite data. Indian Journal of Horticulture,

75(1):27-33.

108. Paul, R., Arya, P. and Kumar, S. (2019). Use of Artificial Intelligence in Statistical Research.

Indian Farming ( Special Issue on Artificial Intelligence in Agriculture). 69(3): 28-31.

109. Prajapat, R. K., Singh, P., Tiwari, P., Mainkar, P., Sahu, S., Rao, A. R. and Kansal, R. (2018). In

Silico Analysis and molecular docking studies of Cajanus cajan Lectin against aminopeptidase-n

receptor from Acyrthosiphon pisum. International Journal of Current Microbiology and Applied

Sciences, 7(06): 959-967.

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110. Pratheepa, M., Venkatesan, T., Gracy, G., Jalali, S. K., Rangheswaran, R., Antony, J. C. and Rai,

A. (2018). An integrated molecular database on Indian insects. Bioinformation, 14(2): 42-47 (2018).

111. Purru, S., Sahu, S., Rai, S., Rao, A. R. and Bhat, K. V. (2018). GinMicrosatDb: a genomewide

microsatellite markers database for sesame (Sesamum indicum L.). Physiology and Molecular Biology

of Plants, 24(5):929-937.

112. Qureshi, N. W., Krishnan, M., Wani, S. A., Ramasubramanian, V., Sivaramane, N. and

Sundaramoorthy, N. (2018). Does information change attitudes? The case of restoration of indigenous

fishery in Dal Lake, Kashmir, India. Indian Journal of Fisheries, 65(2): 113-118.

http://krishi.icar.gov.in/jspui/ handle/123456789/8810

113. Rajaiah, P., Mani, I., Kumar, A., Lande, S. D., Parray, R. A., Singh, A. K. and Varghese, C. (2018).

Comaprative study of mechanical and electronic paddy planter for direct seeding. International Journal

of Current Microbiology and Applied Sciences, 7(9): 1284-1294.

114. Rathod, S., Singh, K. N., Gurung, B. and Ray, M. (2018). An improved space time autoregressive

moving average model for Modeling and Forecasting spatio-temporal time series data. Journal of the

Indian Society of Agricultural Statistics, 72 (3): 239-253.

115. Rawal, H., Amitha, M. S. V., Goel N., Mishra, D. C., Chaturvedi, K. K., Sharma, T. R. and Solanke,

A. U. (2018) Genome-wide analysis in wild and cultivated oryza species reveals abundance of NBS

genes in progenitors of cultivated rice. Plant Molecular Biology Reporter, 36(3), 373–386.

116. Saha, S., Kailia, P. and Sarkar, S. K. (2018). Evaluation of lettuce genotypes for mineral content.

Indian Journal of Horticulture. 75(4): 613-618. http://krishi.icar.gov.in/jspui/ handle/123456789/17935

117. Sahu, S., Rao, A. R., Pandey, J., Gaikwad, K., Ghoshal, S. and Mohapatra, T. (2018). Genome-

wide identification and characterization of lncRNAs and miRNAs in cluster bean (Cyamopsis

tetragonoloba). Gene, 667: 112-121.

118. Sahu, T. K., Pradhan, D., Rao, A. R. and Jena,L. (2018). In silico site-directed mutagenesis of

neutralizing monoclonal antibody 4C4 and analysis of its interaction with G-H loop of VP1 protein to

explore its therapeutic applications against foot and mouth disease. Journal of Biomolecular Structure

and Dynamics, 37(10):2641-2651.

119. Saravanakumar, R., Jain, R., Arora, A. and Marwaha, S. (2018). Knowledge Engineering

for Apportioning District Level Data in Agriculture. Journal of the Indian Society of Agricultural Statistics,

72(2): 165-174.

120. Saurav, S, Varghese, C, Varghese, E and Jaggi, S (2018). Designs for sensory trials involving

foods of animal origin. The Pharma Innovation Journal, 7(11): 405-408.

http://krishi.icar.gov.in/jspui/handle/123456789/14582

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121. Sethy, S., Singh, B. K., Singh, P., Sharma, N.,Burman, R. R., Dash, S. (2018). Constraints in

developing a model village. Journal of Community Mobilization and Sustainable Development, 13 (2):

343-346. http://krishi.icar.gov.in/jspui/handle/123456789/20298

122. Sharath S. Y., Kumar, Shiv., Kar, Amit. And Prawin, Arya. (2019). Econometric analysis of import

demand of pulses in India. Journal of Pharmacognosy and Phytochemistry, 2(8):131-135.

123. Sharma, D., Tiwari, A., Sood, S., Jamra, G., Singh, N. K., Meher, P. K. and Kumar, A. (2018).

Genome wide association mapping of agro-morphological traits among a diverse collection of finger

millet (Eleusine coracana L.) genotypes using SNP markers. PLoS ONE, 13(8): e0199444.

124. Sharma, N., Sinha, V.B., Gupta, N., Rajpal, S., Kuchi, S., Sitaramam, V., Parsad, R. and

Raghuram, N. (2018). Phenotyping for nitrogen use efficiency (NUE) I: Rice genotypes differ in N-

responsive germination, oxygen consumption, seed urease activities, root growth, crop duration and

yield at low N. Frontiers in Plant Science, 9(1452): 1-16.

http://krishi.icar.gov.in/jspui/handle/123456789/17940

125. Sharma, P., Samkumar, A., Rao, M., Singh, V. V., Prasad, L., Mishra, D. C., Bhattacharya, R. and

Gupta, N. C. (2018) Genetic diversity studies based on morphological variability, pathogenicity and

molecular phylogeny of the Sclerotinia sclerotiorum population from Indian mustard (Brassica juncea).

Frontiers in Microbiology, 9:1169.

126. Sharma, S. R., Parihar, A. K., Singh, D., Varshney, N., Lal, C., Sharma, V. and Khedar, O. P.

(2018). Genetic components and traits relationship in a panel of Black gram [Vigna mungo (L.) Hepper]

diverse genotypes. Journal of Food Legumes 31(1): 10-14.

127. Sharma, S.R., Singh, S., Gill R.K., Kumar R. and Parihar, A.K. (2018). Selection of promising

genotypes of lentil (Lens culinaris Medik.) by deciphering genetic diversity and trait association.

Legume Research. 10.18805/LR-4056.

128. Shekhawat, R. S., Singh, K. N., Kumar, A., Sarkar, K. P., Doni, R. and Gurung, B. (2018).

Stochastic volatility in mean model for capturing the conditional variance in volatile time series data,

Indian Journal of Agricultural Science, 88(10): 1644-1647.

129. Shekhawat, R. S., Singh, K. N., Lama, A. and Gurung, B. (2018). Price discovery and

cointegration analysis between spot and futures prices of refined soy oil in India. International Journal

of Current Microbiology and Applied Sciences, 7(11): 40-46.

130. Shekhawat, R.S. and Burark, S.S. (2019). Inter-district variation in agricultural and infrastructural

development in the Rajasthan: A composite index approach. Indian Journal of Economics and

Development, 15(1): 155-159.

131. Shukla, A. K., Sinha, N. K., Tiwari, P. K., Prakash, C., Behera, S. K., Babu, S. P., Patnaik, M. C.,

Somasundaram, J., Singh, P., Dwivedi, B. S., Datta, S. P., Meena, M. C., Tripathi, R., Nayak, A. K.,

Kumar, A., Shukla, K., Siddiqui, S. and Patra, A. K. (2018). Evaluation of spatial distribution and

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40

regional zone delineation for micronutrients in a semiarid Deccan Plateau Region of India. Land

Degradation and Development, 29(8): 2449-2459. http://krishi.icar.gov.in/jspui/

handle/123456789/19064

132. Sindhu, T., Venkatesan, T., Prabhu, D., Jeyakanthan, J., Gracy, G. R., Jalali S. K. and Rai, A.

(2018). Insecticide-resistance mechanism of Plutella xylostella (L.) associated with amino acid

substitutions in acetylcholinesterase-1: A molecular docking and molecular dynamics investigation.

Computational Biology and Chemistry, 77:240-250.

133. Singh, A. and Sharma, A. (2018). A clusteringbased recommendation engine for restaurants.

International Journal of Advanced Intelligence Paradigms, 11(3-4): 272-283. 134. Singh, D., Singh, C.

K., Kumari, S., Tomar, R. S., Singh, K. S., Singh, R., Singh, R., Sarkar, S. K. and Pal, M. (2018).

Evaluation of cultivated and wild genotypes of Lens species under alkalinity stress and their molecular

collocation using microsatellite markers. PLoSONE 13(8): e0199933. http://krishi.icar.gov.in

/jspui/handle/123456789/6777

135. Singh, I., Deb, R., Kumar, S., Singh, R., Andonissamy, J., Smita, S., Singh, G. S., Kumar, R., Ojha

K. K., Sahoo, N. R., Murali, S., Chandran, R., Nair, V. R., Lal, S. B., Mishra, D. C. and Rai A. (2019).

Deciphering foot-and-mouth disease (FMD) virus-host tropism. Journal of Biomolecular Structure and

Dynamics, 18:1-11.

136. Singh, R., Iquebal, M. A., Mishra, C. N., Jaiswal, S., Kumar, D., Raghav, N., Paul, S., Sheoran, S.,

Sharma, P., Gupta, A., Tiwari, V., Angadi, U. B., Kumar, N., Rai, A., Singh, G. P., Kumar, D. and

Tiwari, R. (2019). Development of model web-server for crop variety identification using throughput

SNP genotyping data. Scientific Reports, 9: 5122.

137. Singh, S., Singh, K. N., Gurung, V., Shekhawat, R. S., Pantotra, N. and Singh, A. (2018).

Cointegration and causality analysis of tur (Pigeon pea) in neighboring states. International Journal of

Chemical Studies, 6(3): 715-719.

138. Singh, Saurabh., Bhatia, Reeta., Kumar, Raj., Sharma, Kanika., Dash, Sukanta, Dey, Shyam

Sundar. (2018). Cytoplasmic male sterile and doubled haploid lines with desirable combining ability

enhances the concentration of important antioxidant attributes in Brassica oleracea. Euphytica,

214(11): 207. http://krishi.icar.gov.in/jspui/handle/123456789/20276

139. Som, S., Burman, R. R., Sharma, J. P., Padaria, R. N., Iquebal, M. A. and Suresh, A. (2018).

Construction of multi-dimensional scale for measuring perception towards migration. Journal of

Community Mobilization and Sustainable Development, 13(2): 279- 285.

140. Stori, R. M., Ahmadzai, K. M., Parihar, C. M., Jat, S. L., Mandal, B. N., Kumar, L. and Meena, B.

R. (2019). Effect of tillage practices and phosphorus doses on the performance of mungbean (Vigna

radiata) in semi-arid Kandahar region of Afghanistan. Indian Journal of Agronomy 63(4): 532-534.

http://krishi.icar.gov.in/jspui/handle/123456789/20134

141. Stori, R. M., Parihar, C. M., Ahmadi, S., Ahmadzai, K. M., Nayak, H. S., Jat, S. L., Mandal,B. N.,

Wasifhy, M. K., Sayedi, S. A., Shamsi, A. B., Ehsan, Q., Parihar, M. D., Kumar, L. and Meena, B. R.

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(2019). Economical optimum dose of phosphorus for mungbean (Vigna radiata) under contrasting

tillage practices in arid region. Indian Journal of Agricultural Sciences 89(1): 165–168.

http://krishi.icar.gov. in/jspui/handle/123456789/20133

142. Subash, S.P., Kumar, R.R. and Aditya, K.S. (2018). Satellite data and machine learning tools for

predicting poverty in rural India. Agricultural Economics Research Review, 31(2): 231-240.

143. Supriya, P., Rao, A. R. and Bhat, K. V.(2018). Transcriptome sequencing of sesame (Sesamum

indicum) using Illumina Platform. Indian Journal of Agricultural Sciences, 88 (3): 442-446.

144. Sureshkumar, V., Dutta, B., Kumar, V., Prakash, G., Mishra, D. C., Chaturvedi, K. K., Rai, A.,

Sevanthi, A. M. and Solanke, A. U. (2019). RiceMetaSysB: a database of blast and bacterial blight

responsive genes in rice and its utilization in identifying key blastresistant WRKY genes. Database,

baz015.

145. Thakre, M., Verma, M. K., Singh, K., Awasthi, O. P., Sharma, R. R. and Ray, M. (2018). Proposal

and validation of colour index for Kinnow mandarin (Citrus nobilis × Citrus deliciosa). Indian Journal of

Agricultural Sciences, 88 (8): 1179-1183.

146. Upadhyaya, L., Burman, R. R., Sangeetha, V., Lenin, V., Sharma, J. P. and Dash, S. (2018).

Factors affecting digital divide in ICT-led agricultural information delivery: A comparative analysis.

Journal of Community Mobilization and Sustainable Development, 13(2): 296-300.

http://krishi.icar.gov.in/jspui/handle/123456789/20274

147. Varghese, C., Bhowmik, A., Varghese, E. and Jaggi, S. (2018). Web based generation of

polycross designs (webPD). Journal of the Indian Society of Agricultural Statistics, 72(1): 71–76.

http://krishi.icar.gov.in/jspui/handle/123456789/6054

148. Varshney, R., Budhlakoti, N. and Ballal, C.R. (2018). Functional response of Geocoris ochropterus

Fieber (Hemiptera: Geocoridae) to different egg densities of Helicoverpa armigera (Hübner)

(Lepidoptera: Noctuidae). Phytoparasitica, 46(4): 451–458.

149. Vennila, S., Paul, R. K., Bhat, M. N., Yadav, S. K., Vemana, K., Chandrayudu, E., Nisar, S.,

Kumar, M., Tomar, A., Rao, M. S. and Prabhakar, M. (2018b). Abundance, infestation and disease

transmission by thrips on groundnut as influenced by climatic variability at Kadiri, Andhra Pradesh.

Journal of Agrometeorology, 20(3): 227-233.

150. Verma, R. K., Rakhshit, S., Sarkar, S. and Bhowmik, A. (2017). Information need of rural women

in agriculture and their preference of information sources: A case of four villages of Uttar Pradesh.

Bulletin of Environment, Pharmacology and Life Sciences. 6(5):90-94. http://krishi.icar.gov.in/

jspui/handle/123456789/6085

151. Verma, R., Wason, M. and Bhowmik, A. (2018). Case of connecting dream foundation and

communication technology based model, its perceived utility and effectiveness in information and

service delivery. International Journal of Agricultural Sciences, 10(22): 7539-7541.

http://krishi.icar.gov.in/jspui/handle/123456789/19282

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152. Vinay, A., Ramasubramanian, V., Krishnan, M. and Ananthan, P.S. (2018). Total factor

productivity of Tuna fisheries in Lakshadweep, Indian Journal of Geomarine Sciences, 47(2), 319-32.

http://krishi.icar.gov.in/jspui/handle/123456789/9023

153. Yadav, S. P., Kannaki, T. R., Mahapatra, R. .K. Paswan, C., Bhattacharya, T. K., Sarkar, S.K.,

and Chatterjee, R. N. (2018). In vivo cellmediated immune, hemagglutination inhibition response,

hematological and biochemical values in native vs. exotic chicken breeds. Poultry Science, 97(9):

3063–3071.

154. Yashavanth, B. S., Singh, K. N., Paul, A. K. and Kumar, A. (2018). An empirical evaluation of

parameter shrinkage techniques for vector autoregressive models. Journal of the Indian Society of

Agricultural Statistics, 72(2):113- 120.

155. Yogi, V., Kumar, P., Kar, A., Singh, D. R., Singh, R., Arya, P. and Awasthi, O. P. (2019). Risk

management strategies in kinnow value chain in north-western India. Indian Journal of Extension

Education, 55(1):124-128.

2019-20 1. Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S, Sahoo, RN and Chinnusamy, V (2019).

Artificial Neural Network approach for estimating leaf fresh weight (LFW) of rice plant through VISUAL-

NIR (VIS-NIR) imaging. Indian Journal of Agricultural Sciences.

2. Saha, A, Singh, KN, Ray, M, Kumar, S and Rathod, S (2019). A new approach for spatiotemporal

modelling and forecasting based on fuzzy techniques in conjunction with k-means clustering. Journal of

the Indian Society of Agricultural Statistics.

3. Bhar, LM, Ramasubramanian, V, Arora, A, Marwaha, S and Parsad, R (2019). The Era of Artificial

Intelligence. Prospects for Indian agriculture. Indian Farming journal.

4. Awasthi, S, Sharma, A, Saxena, P, Yadav, J, Pandiyan, K, Kumar, M, Singh, A, Chakdar, H,

Bhowmik, A, Kashyap, PL, Srivastava, AK and Saxena, AK(2019). Molecular detection and in silico

characterization of cold shock protein coding gene (cspA) from cold adaptive Pseudomonas koreensis.

Journal of Plant Biochemistry and Biotechnology.

5. Verma, R, Wason, M, Padaria, RN, Singh, P, Sarkar, S and Bhowmik, A (2019). Adoption of

Information and Communication Technology among Rural Women in Uttar Pradesh: A Study of

Barriers. Journal of Community Mobilization and Sustainable Development.

6. Datta, A, Jaggi, S, Varghese, C and Varghese, E (2019). Balanced Bipartite generalized rowcolumn

designs. Journal of the Indian Society of Agricultural Statistics. 18

7. Yadav, SP Sarkar, SK Mahopatra, RK, Kannaki, TR, Denge, M Bhattacharya, TK and

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Chatterjee, RN (2019). Modeling Growth Curves for Indian native Vs Exotic chicken breeds to assist in

selection strategies. Indian journal of Animal Sciences.

8. Sheoran, S, Jaiswal, S, Kumar, D, Raghav, N, Sharma, R, Pawar, S, Paul, S, Iquebal, MA, Jaiswar,

A, Sharma, P, Singh, R, Singh, CB, Gupta, A, Kumar, N, Angadi, UB, Rai, A, Singh, GP, Kumar, D and

Tiwari, R (2018). Uncovering genomic regions associated with 36 agromorphological traits in Indian

spring wheat using GWAS. Frontiers in Plant Science.

9. Jasrotia, RS, Yadav, PK, Iquebal, MA, Bhatt, SB, Arora, V, Angadi, UB, Tomar, RS, Jaiswal, S, Rai,

A, and Kumar, D (2019). VigSatDB: Genome wide microsatellite DNA marker database of three

species of Vigna for germplasm characterization and improvement. Database. The Journal of Biological

Databases and Curation.

10. Farooqi, MS, Mishra, DC, Chaturvedi, KK, Rai A, Lal, SB, Kumar, S, Bhati, J and Sharma, A (2019)

“A review on recent statistical models for RNA-Seq Data. Journal of Applied Bioinformatics &

Computational Biology.

11. Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S, Sahoo, RN and Chinnusamy, V (2019).

Artificial Neural Network Approach for estimating leaf Fresh Weight (LFW) of Rice Plant Through

Visual-Nir (VIS-NIR) Imaging. Indian Journal of Agricultural Sciences.

12. Pal, S, Marwaha, S, Arora, A, Choubey, AK, Singh, AK, Poswal, RS, Adhiguru, P, Kumar, H,

Gupta, C, Islam, SN and Kuma, S (2019). KVK Mobile App: An ICT Tool to Empower Farmers. Indian

Journal of Agricultural Sciences.

13. Dahiya, S Das, S and Bharadwaj, A (2019). Online Classification and Visualization using the C 4.5

Decision tree Algorithm. Indian Society of Agricultural Statistics.

14. Aditya, K, Chandra, H, Kumar, S and Das, S (2019). Higher Order Calibration Estimator of Finite

Population Total Under Two Stage Sampling Design When Population Level Auxiliary Information.

Journal of the Indian Society of Agricultural Statistics.

15. Aditya, K, Chandra, H, Kumar, S, Nayak, N and Das, S (2019). Model Assisted Personal Interview

Software: Development and Experiences From Implementation in Crop Estimation Survey in India.

Journal of the Indian Society of Agricultural Statistics.

16. Mohd, H, Varghese, C, Jaggi, S, Datta, A and Varghese, E (2019). Efficient and cost effective

partial three-way cross designs for breeding experiments with scarce resources. Journal of the Indian

Society of Agricultural Statistics, 73(1): 71-78.

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44

17. Shruti, Sharma, JP, Burman, RR, Gills, R, Singh, M and Bhowmik, A (2018). Clustering of Various

Agricultural Processors for Identifying Training Need to Promote Value Chain Development. Indian

Journal of Extension Education. 54 (1), 143-148.

18. Krishna, DK., Kumbhare, NV, Padaria, RN, Singh, P and Bhowmik, A (2018). Extent of Participation

of Respondents in Production and Broadcasting Programme of Community Radio. Indian Journal of

Extension Education. 54 (2): 148-152.

19. Budhlakoti, N, Mishra, DC, Rai, A, Lal, SB, Chaturvedi, KK and Kumar, RR (2019). A Comparative

Study of Single Trait and Multi-Trait Genomic Selection. Journal of Computational Biology. Vol 26, pg

1-13.

20. Sheoran, S, Jaiswal, S, Kumar, D, Raghav, N, Sharma, R, Pawar, S, Paul, S, Iquebal, MA, Jaiswar,

A, Sharma, P, Singh, R, Singh, CB, Gupta, A, Kumar, N, Angadi, UB, Rai, A, Singh, GP, Kumar, D and

Tiwari, R (2018). Uncovering genomic regions associated with 36 agromorphological traits in Indian

spring wheat using GWAS. Frontiers in Plant Science.

21. Gautam, P, Ananthan, PS, Ramasubramanian, V, Sharma, A and Jha, BC (2018). An assessment

of fisheries and management in Rihand reservoir, Uttar Pradesh, Current Agriculture Research Journal,

6(3): 1-12.

22. Bhar, LM, Ramasubramanian, V, Arora, A, Marwaha, S and Parsad, R (2019). Era of Artificial

Intelligence: Prospects for Indian agriculture,Indian Farming, 69(03): 10-13.

23. Bhar, LM, Ramasubramanian, V, Arora, A, Parsad, R and Marwaha, S (2019). Artificial Intelligence

in Agriculture: Status and Prospects in India, Proceedings and Recommendations of the National

Workshop on Artificial Intelligence in Agriculture held during July 30-31, 2018 at NASC Complex, New

Delhi, https://naarm.org.in/wpcontent/ uploads/2019/04/Artificial%20Intelligence%20 in%20Agriculture

.pdf,pages 8-18.

24. Bhar, LM, Ambast, SK, Soam, SK and Rao, CS (2019). Status and Prospects of Artificial

Intelligence in Agriculture, Proceedings and Recommendations of the National Workshop on Artificial

Intelligence in Agricultureheld, New Delhi, pp: 1-92; https://naarm.org.in/wpcontent/

uploads/2019/04/Artificial%20 Intelligence%20in%20Agriculture.pdf.

25. Paul, R, Arya, P and Kumar, S (2019). Use of Artificial Intelligence in Statistical Research. Indian

Farming (Special Issue on Artificial Intelligence in Agriculture). 69(3): 28-31.

26. Yogi, V, Kumar, P, Kar, A, Singh, DR Singh, R, Arya, P and Awasthi, OP (2019). Risk Management

Strategies in Kinnow Value Chain in North-Western India. Indian Journal of Extension Education,

55(1):124-128.

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27. Saxena, R., Singh, NP, Paul, R.K. and Kumar, R. (2019). Market linkages for the major onion

markets in India. Indian Journal of Horticulture 76 (1), 133-140

28. Sarkar, S, Paul, RK, Paul, AK and Bhar, LM (2019). Wavelet based Multi-scale Auto- Regressive

(MAR) Model: An Application for Prediction of Coconut Price in Kerala. Journalof The Indian Society of

Agricultural Statistics 73 (1): 1-10

29. Paul, RK, Arya, P and Kumar, S (2019). Use of Artificial Intelligence in Statistical Research. Indian

Farming 69 (3):28-31

30. Meher, PK, Sahu, TK, Gahoi, S, Satpathy, S and Rao, AR (2019). Evaluating the performance of

sequence encoding schemes and machine learning methods for splice sites recognition. Gene.

31. Dr. Harish Kumar, H V Communicated abstract on paper titled "Credit to Agriculture by Scheduled

Commercial Banks (SCBs) in India-A Micro Level Overview" authored Harish

Kumar H.V, Shivaswamy G.P, Anuja A.R, Achal Lama,K.N. Singh and Rajesh T for eighth

International Conference on Agricultural Statistics 2019 (ICAS-VIII), to be held during 18-21 November

2019 at New Delhi, India.

32. Parsad, R (2019). Construction of nested partially balanced incomplete block designs. Statistics

and Applications, 17(1): 275-280.http://krishi.icar.gov.in/jspui/ handle/123456789/19784.

33. Choudhary, K, Jha, GK, Kumar, RR and Mishra, DC (2019). Agricultural commodity price analysis

using ensemble empirical mode decomposition: A case study of daily potato price series. Indian

Journal of Agricultural Sciences. 89(5):882-6.

34. Sah, U, Kumar, N, Saxena, H, Dubey, SK, Iquebal, MA, Bhat, S and Singh, SK (2019). Validation of

farmer to farmer extension model for dissemination of quality seeds of pulse crops: experiences from

Bundelkhand Region of Uttar Pradesh. Indian Journal of Extension Education, 54(2): 176-182.

35. Jasrotia, RS, Yadav, PK, Iquebal, MAs, Bhatt, SB, Arora, V, Angadi, UB, Tomar, RS, Jaiswal,S,

Rai, A and Kumar, D (2019). VigSatDB: Genome wide microsatellite DNA marker database of three

species of Vigna for germplasm characterization and improvement. Database: The Journal of Biological

Databases and Curation.(https://academic.oup.com/database/article/doi/10.1093/ database/baz055/

5506750)

36. Chandra, H, Gupta, S and Shreyaskar, PKP (2019). Disparity in Rural Poverty in Indo-Gangetic

Plain in India: A Disaggregate Level Analysis. Statistics and Application, The special A.K. Nigam

felicitation issue, The Society of Statistics, Computer and Application. 17(1), page 181–194.

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46

37. Gupta, VK and Chandra, H (2019). Statistics and Application. Edited (Special issue Special Issue to

felicitate Professor Arun Nigam on his 75th birthday). Society of Statistics, Computer and Applications

New Delhi, Volume 17(1). ISSN 2454-7395. Total pages 269 and 19 papers.

38. Farooqi Mohammad Samir, Mishra DC, Chaturvedi KK, Rai Anil, Lal SB, Kumar Sanjeev, Bhati

Jyotika and Sharma Anu. (2019) A Review on Recent Statistical Models for RNA-Seq Data. Journal of

Applied Bioinformatics & Computational Biology. 8:1 DOI: 10.4172/2329- 9533.1000162.

39. Jasrotia, Rahul Singh, Yadav, Pramod Kumar, Iquebal, Mir Asif, Bhatt, S.B., Arora, Vasu, Angadi,

U.B., Toma,r Rukam Singh, Jaiswal, Sarika, Rai, Anil, Kumar, Dinesh (2019).VigSatDB: Genome wide

microsatellite DNA marker database of three species of Vigna for germplasm characterization and

improvement. Database: The Journal of Biological Databases and Curation.

(https://academic.oup.com/database/article/doi/10.1093/database/baz055/5506750).

40. Shyamsundar Parui, B.N. Mandal, Rajender Parsad and Sukanta Dash (2018). Orthogonal Latin

hypercube designs for three columns. Utilitas Mathematica, 108, 149-158.

http://krishi.icar.gov.in/jspui/handle/123456789/20956

41. Rajeev Kumar, B.N. Mandal and Rajender Parsad (2019). Construction of Balanced Sampling

Plans Excluding Adjacent Units. Journal of the Indian Society of Agricultural Statistics, 73(1), 27-32.

http://krishi.icar.gov.in/jspui/ handle/ 123456789/20964

42. Verma, R., Wason, M., Padaria, R.N., Singh, P., Sarkar, S. and Bhowmik, A. Adoption of

Information and Communication Technology among Rural Women in Uttar Pradesh: A Study of

Barriers. Journal of Community Mobilization and Sustainable Development. 13(3), 578-582,

43. Shruti, Sharma, J. P., Burman, R. R., Gills, R. and Bhowmik, A. (2018). Developing Value Chain

Map for Maize in Samastipur district Bihar- Methodological Approach. Journal of Community

Mobilization and Sustainable Development. 13(3), 606-612.

44. Maity, P.P., Chakrabarti, B., Bhatia, A., Purakayastha, T.J., Saha, N.D., Jatav, R.S., Sharma, A.,

Bhowmik, A., Kumar V. and Chakraborty, D. (2019). Effect of Elevated CO2 and Temperature on

Growth of Rice Crop. International Journal of Current Microbiology and Applied Sciences. 8(1), 1906-

1911.

45. Kumar, S., Sangeetha, V., Singh, P., Burman, R.R., Bhowmik, A. (2018) Stakeholders' Perception

about Rice Knowledge Management Portal's information. Indian Journal of Extension Education. 5 (3),

79-84.

46. Gautam, A., Kumar, R. and Jain, S. (2019). Prevalence of gingival inflammation among pregnant

women attending the Anugrah Narayan Magadh Medical College and Hospital, Gaya Bihar India.

International Journal of Medical and Health Research, 5(6), 47-49.

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47. Das, A., Gupta, S., Parihar, A.K., Saxena, D., Singh, D., Singha, K.D., Kushwaha. K.P.S., Chand,

R, Bal, R.S. and Chandra S. Deciphering genotype-by-environment interaction for targeting test

environments and rust resistant genotypes in field pea (Pisum sativum L.).

doi:10.3389/fpls.2019.00825.

48. Chowdhary, D., Bharadwaj, A. , Sehgal, V.K., Kumar, M., Sudeep, Biswas, A., Parsad, R. and

Verma, R. (2019) Development of Mega-Environment for Maize in India using GIS approach. Journal of

the Indian Society of Agricultural Statistics, 73(1), 79–86.

49. Bibwe, B, Mani, I, Kar, A, Samuel, DVK., Iquebal, MA (2019). Optimization of oil loading and starch-

protein ratio for encapsulation of flaxseed oil using response surface methodology. Journal of

Agricultural Engineering, 56(2): 80-90.

50. Rasal, KD, Iquebal, MA, Pandey, A, Behera, P, Jaiswal, S, Vasam, M, Dixti, S, Raza, M, Sahoo, L,

Nandi, S, Angadi, UB, Rai, A, Kumar, D, Nagpure, N, Chaudhari, A and Sundaray, JK (2019) Revealing

liver specific microRNAs linked with carbohydrate metabolism of farmed carp, Labeo rohita (Hamilton,

1822). Genomics (https://www.sciencedirect.com/science/article/pii/S088875431930237X?via%3

Dihub).

51. Rasal, KD, Iquebal, MA, Jaiswal, S, Dixit, S, Vasam, M, Nandi, S, Raza, M, Sahoo, L, Angadi, UB,

Rai, A, Kumar, D, and Sundaray, JK (2019). Liver specific microRNAs identification in farmed carp,

Labeo bata (Hamilton, 1822) fed with starch diet using high-throughput sequencing. Marine

Biotechnology https://link.springer.com/article/ 10.1007/s10126-019-09912-y)

52. Chakraborty, D, Sehgal, VK, Dhakar, R, Ray, M and Das, DK (2019). Spatio-temporal trend in heat

waves over India and its impact assessment on wheat crop. Theoretical and Applied Climatology.

https://doi.org/10.1007/s00704-019-02939-0

53. Rathore, SS, Shekhawat, K, Singh, RK, Updhyay, PK, Shekhawat, R and Premi, OP (2019). Effect

of nano-particles on growth, productivity, profitability of Indian mustard(Brassica juncea) under semi-

arid conditions. Indian Journal of Agricultural Sciences, 89(7): 1045-50.

54. Pal, S. and Mazumdar, D (2019). Forecasting monthly rainfall using artificial neural network.

RASHI, 3(2):65-73.

55. Chakraborty, D, Mondal, S, Das, A, Paul, AK, Thomas, P, Aggarwal, P, Behera, UK and Sharma,

AR (2019). Tillage and Crop Rotation Effects on Mechanical Properties and Structural Stability of a

Sandy Loam Soil in a Semi-arid Environment Journal of the Indian Society of Soil Science. 67(2):174-

182.

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56. Saha, A, Singh, KN, Ray, M, Kumar, S and Rathod, S (2019). A new approach for spatiotemporal

modelling and forecasting based on fuzzy techniques in conjunction with k-means clustering. Journal of

the Indian Society of Agricultural Statistics. 73 (2): 111-120.

57. Awasthi, S, Sharma, A, Saxena, P, Yadav, J, Pandiyan, K, Kumar, M, Singh, A, Chakdar,

H,Bhowmik, A, Kashyap, PL, Srivastava, AK and Saxena, AK(2019). Molecular detection and in silico

characterization of cold shock protein coding gene (cspA) from cold adaptive Pseudomonas koreensis.

Journal of Plant Biochemistry and Biotechnology. Available at https://doi.org/10.1007/s13562-019-

00500-8(.01)

58. Dash, S, Mandal, BN, Parsad, R and Sarkar, SK(2019). A Note on Second Order Orthogonal Latin

Hypercube Designs, Journal of the Indian Society of Agricultural Statistics, 73(2):133- 136.

59. Singh, S, Gupta, S, Dash, S and Singh, KN (2019). Modelling the growth of lactic acid

bacteriastarter culture for foods. Journal of Indian Society of Agricultural Statistics. 73(2):161-165.

60. Devi, I, Singh, P, Lathwal, SS, Dudi K, Singh, Y, Ruhil AP, Kumar, A, Dash, S and Malhotra, R

(2019). Threshold values of acoustic features to assess estrous cycle phases in water 18 buffaloes

(Bubalus bubalis), Applied Animal Behaviour Science.

https://doi.org/10.1016/j.applanim.2019.104838.

61. Rai, SN, Srivastava, S, Pan, J, Wu, X, Rai, SP, Mekmaysy, CS, DeLeeuw, L, Chaires, JB and

Garbett, NC (2019). Multi-group diagnostic classification of high-dimensional data using differential

scanning calorimetry plasma thermograms. PLOS ONE 14(8): e0220765.

https://doi.org/10.1371/journal.pone.0220765

62. Ali, A, Kumar, R, Iquebal, MA, Jaiswal, S, Kumar, D and khan, A (2018). Role of conserved

residues in catalytic activity of NDM-1: an approach of site directed mutagenesis and molecular

dynamics. Physical Chemistry Chemical Physics-a Journal of Royal Society of Chemistry.

(https://pubs.rsc.org/en/content/articlel anding/2019/cp/c9cp02734c/unauth#!divAbstract)

63. Pal, S, Marwaha, S, Arora, A, Choubey, AK, Singh, AK, Poswal, RS, Adhiguru, P, Islam, SN,

Kumar, H, Gupta, C and Kumar, S (2019). KVK Mobile App: An ICT tool to empower farmers. Indian

Journal of Agricultural Sciences, 89(8):1362-5.

64. Farooqi, MS, Mishra, DC, Chaturvedi, KK, Rai, A, Lal, SB, Kumar, S, Bhati, J and Sharma, A.

(2019). A Review on Recent Statistical Models for RNA-Seq Data. J Appl Bioinforma Comput Biol 8(1).

DOI: 10.4172/2329-9533.1000162.

65. Renu, Gupta, SK, Rai, AK, Sarim, KM, Sharma, A, Budhlakoti, N, Arora, D, Verma, DK, Singh, DP

(2019). Metaproteomic data of maize rhizosphere for deciphering functional diversity. Data in Brief,

https://doi.org/10.1016/j.dib.2019.104574.

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66. Angadi, UB, Chaturvedi, KK, Srivastava, S and A. Rai (2019) "A Novel Way of Comparing Protein

3D Structure Using Graph Partitioning Approach," in IEEE/ACM Transactions on Computational

Biology and Bioinformatics. https://doi.org/10.1109/ TCBB.2019.2938948

67. Samireddypalle, A, Prasad, KVSV, Ravi, D, Khan, AA, Reddy, R, Angadi, UB and Blümmel M

(2019. Embracing whole plant optimization of rice and wheat to meet the growing demand for food and

feed, Field Crops Research, https://doi.org/10.1016/ j.fcr.2019.107634

68. Iquebal, MA, Sharma, P, Jasrotia, RS, Jaiswal, S, Kaur, A, Saroha, M, Angadi, UB, Sheoran, S,

Singh, R, Singh, GP, Rai, A, Tiwari, R & Kumar, D (2019) RNAseq analysis reveals drought-responsive

molecular pathways with candidate genes and putative molecular markers in root tissue of wheat,

Scientific Reports volume 9, Article number: 13917 (2019) ,https://doi.org/10.1038/s41598-019-49915-2

69. Gupta, MC, Roy, HS and Bhadauria, SS (2019) Genetic variability analysis in F2/F3 population

derived through inter-specific hybridization in oilseed Brassica. Electronic Journal of Plant Breeding. 10

(3): 1275 – 1282.

70. Chinapolaiah, A, Damors, PR, Manjesh, GN, Thondaiman, V and Kumar, HHV (2019). Vegetative

propagation of Adhatodavasica a medicinal plant: effect of indole-3-butyric acid (IBA) on stem cuttings.

Journal of Pharmacognosy and Phytochemistry. 8(5): 1176-1180.

71. Sahu, PK, Dey, S, Sinha, K, Singh, SHH and Narsimaiaha, L (2019). Cointegration and Price

Discovery Mechanism of Major Spices in India, American Journal of Applied Mathematics and

Statistics, 7(1): 18-24

72. Singh, SHH, Dutta, SS, Dey, S, Narsimaiah, L, Sinha, K, Pandit, P, Dubey, A, Mishra, P and Sahu,

PK (2019). Factors influencing selection of plant protection chemicals: A statistical appraisal, Journal of

Pharmacognosy and Phytochemistry, 8(2): 1-5

73. Datta, A, Jaggi, S, Varghese, C and Varghese, E (2019). Balanced bipartite generalized rowcolumn

designs. Journal of the Indian Society of Agricultural Statistics, 73(2): 121-128.

74. Vanlalneihi, B, Saha, P, Kalia, P, Singh, S, Saha, ND, Kundu, A, Singh, N and Bhowmik, A(2019).

Genetic and principal component analysis for agro-morphological traits, bioactive compounds,

antioxidant activity variation in breeding lines of early Indian cauliflower and their suitability for

breeding. Journal of Horticultural Science and Biotechnology. DOI:10.1080/14620316.2019.1627912.

75. Anuja, AR, Singh, KN, Shivaswamy, GP, Rajesh, T and Harish Kumar H V (2019). Instrumental

Variable Estimation, in Nikam, V., Jhajhria and Pal, S (ed) Quantitative Methods for social sciences,

ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi. 219-226. 16

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76. Misra, T, Arora, A, Marwaha, S, Ray, M, Raju, D, Kumar, S,,Sahoo, RN and Chinnusamy, V (2019)

Artificial Neural Network approach for estimating leaf freshweight (LFW) of rice plant through VISUAL-

NIR (VIS-NIR) imaging. Indian Journal of Agricultural Sciences.89 (10), 1698-1702.

77. Lama, A, Jha, GK, Singh, KN and Gurung, B (2019). Bayes BEKK: Bayesian Estimation of

Bivariate Volatility Model. R package.

78. Panwar, S, Kumar, N, Kumar, A, Paul, RK and Sarkar, SK (2019) Analysis of trend in area,

production and productivity of okra (Abelmoschus esculentus) in India. Current Horticulture 7(2): 56–58.

https://doi.org/10.5958/2455-7560.2019.00021.9.

79. Varghese, E, Bhowmik, A, Jaggi, S, Varghese, C and Lall, S (2019). On the construction of

response surface designs with minimum level changes. Utilitas Mathematica, 110, 293-303.

80. Majumdar, SG, Rai, A, Mishra, DC (2019). Integrated Framework for Selection of Additive and

Nonadditive Genetic Markers for Genomic Selection. Journal of Computational Biology.

https://doi.org/10.1089/cmb.2019.0223.

81. Kumar, D, Chhokar, V, Sheoran, S, Singh, R, Sharma, P, Jaiswal, S, Iquebal, MA, Jaiswar, A,

Jaisri, J, Angadi, UB, Rai, A, Singh, GP, Kumar, D, Tiwari, R (2019). Characterization of genetic

diversity and population structure in wheat using array based SNP markers, Mol Biol

Rep. https://doi.org/10.1007/s11033-019-05132-8

Financial Statement

Expenditure under CAFT

Head 2017-18 2018-19 2019-20 Operating of 2,39,7822 18,45,137 cost

Training

Recurring 3,52,733 2,70,991 Contingency

Non- 0 0 Recurring

Contingency

T.A. 22,141 0

Library 35,000 0 Staff Salary 9,63,084 8,60,921

Total 37,70,780 29,77,049