Annual Progress Report - CRIDA Report2011-12.pdf · larval instars of rice yellow stem borer 10....
Transcript of Annual Progress Report - CRIDA Report2011-12.pdf · larval instars of rice yellow stem borer 10....
1
Annual Progress Report
(April 2011 – March 2012)
COMPONENT: 4 /C2046
1. Sub-project title:
Research into Development of Decision
Support Systems for Insect pests of major rice
and cotton based cropping systems (C2046)
2. Principal Investigator: Dr YG Prasad, Principal Scientist (Entomology)
3. Lead Institute: Central Research Institute for Dryland
Agriculture (CRIDA), Hyderabad
4. Co-principal Investigators
(Name and address):
1. Co-PIs from CRIDA, Hyderabad
Dr M Prabhakar, Sr. Scientist (Ent)
Dr K.V. Rao, Sr. Scientist (SWCE)
Dr AVMS Rao, Sr. Scientist (Agmet)
Dr K. Nagasri, Sr. Scientist (Ext) Dr B.M.K. Raju, Sr. Scientist (Stat)
Dr N. Ravi Kumar, Sr. Scientist
(Comp) 2. Dr VS Nagrare, SS
(Entomology),CICR, Nagpur
• Dr Rishi Kumar, SS
(Entomology), CICR-RS, Sirsa
• Dr B Dharajyoti, PS
(Entomology), CICR-RS,
Coimbatore 3. Dr Gururaj Katti, PS (Entomology),
DRR, Hyderabad
• Dr V. Jhansi Lakshmi, Sr,
Scientist, DRR
• Dr A.P.K. Padmakumari, Sr.
Scientist, DRR
• Dr Ch. Padmavathi, Sr.
Scientist, DRR
• Dr K Vasanta Bhanu, Scientist
(Entomology),APRRI, Maruteru (ANGRAU)
• Dr PS Sarao, Assistant
Entomologist, PAU, Ludhiana
• Dr Maya Bini Jena,
Entomologist, CRRI, Cuttack
• Dr CR Satpathy, Entomologist,
BCKV, Mohanpur
• AICRP Centre, Pattambi
4. Dr Sujay Dutta, Scientist, SAC,
Ahmedabad 5. Dr S Vennila, PS (Entomology),
NCIPM, New Delhi
5. Duration of the Sub-project:
Date of commencement:
Date of completion:
Extension so far (if any):
17.7.2008 (Launched on 28th Nov, 2008)
31.3.2012
-
2
6. Total budget of sub-project (Rs. in lakh):
Revised budget, if any (Rs. in lakh):
Rs. 322.60 lakhs
Rs. 338.0624 lakhs
7. Research Achievements/Innovations: (List five in bullet form, not more than 3 lines each)
a) For Period of report i.e., April, 2011 to Feb, 2012
1) Developed a web enabled Decision Support System (v1.0) incorporated with
user friendly decision support tools and features such as stage-specific
mortality and age-specific fecundity life table calculator for estimating rate and
size of population increase; degree-day calculator for prediction of timing of
pest population based on phenology; population trend index calculator for
population projection based on input temperature and pest activity; agro-
climatic analysis for 11 cropping system locations and pest diagnostics for
major pests of rice and cotton. The DSS is programmed using JAVA and VB
6.0 as front end with web enabled features and MS Access database as
backend.
2) Developed and validated a phenology model based on thermal summation for
the first time for predicting the timing of peak moth activity of leaf folder in
rice both for kharif and rabi seasons. Prediction of leaf folder peak incidence/
activity based on the DD model will help the farmer in timing the pest
management interventions more effectively rather than resorting to
indiscriminate application of insecticides.
3) Linear and non-linear regression models were applied to development data
from 9 constant temperature experiments to estimate developmental rates,
thermal constants, lower, optimum and upper developmental thresholds for
complete development of White-backed plant hopper (WBPH) nymphs to
adults for the first time. The estimated thermal constants and developmental
thresholds are being used in developing phenology models for predicting the
timing of peak field activity of WBPH in rice.
4) A decision tree based model for predicting yellow stem borer in rice-rice-pulse
based cropping system was developed by applying Classification and
Regression Tree (CART) approach on weekly light trap count datasets (1995-
3
2011) of rice Yellow Stem Borer (YSB). The model is scalable, can handle
smaller data sets and is applicable for predicting YSB in rice for timely pest
management in the Rice-Rice-Pulse cropping system in Andhra Pradesh.
5) For the first time fixed precision sampling plans have been devised for the
cotton mirid, Crenotiades biseratense (Distant) (Hemiptera: Miridae) which is
an emerging pest on Bt Cotton and the dominant mirid in the southern cotton
growing zone. Applying distribution parameters of both nymphs and adults
based on three year field incidence data, optimum sample sizes for different
pest densities were arrived at 0.1 and 0.25 fixed precision levels. The decision
tool will be helpful in accurate estimation of population density for timing of
pest management interventions based on a set economic threshold.
6) Developed and validated linear regression models and curve-fit comparison of
progress of current pest incidence scenario vs the trend in an epidemic year for
predicting pink bollworm incidence in Cotton
b) From inception to Feb, 2012(Give further details (precise & to the point only), if
needed, in Annexure)
1. Diversity studies of mealybugs and mirids in cotton indicated occurrence of four mealybug
species. Phenacoccus solenopsis Tinsley was the dominant species in Cotton- wheat and Cotton + Pigionpea- fallow system of North zone and Central zone while, P. marginatus
was the dominant species in cotton+ pulses- maize cropping system of Southern zone.
Mirids Campylomma livida and Creontiades biseratense are dominant in central and south
zone, respectively.
2. Published a treatise on cotton mealybug, Phenacoccus solenopsis based on the bio-ecology
studies carried out in the Central cotton growing zone
3. Recorded seasonal and off-season alternate hosts (>194 hosts) for the mealybug species
on cotton in all the cropping systems. A technical bulletin on alternate hosts of mealybug
in cotton based cropping systems across all cotton growing regions is on the verge of publishing
4. A new sampling plan for mealybug P. solenopsis has been standardized. Incidence was
assessed based on presence or absence of mealybugs and the severity using zero to four scale of infestation. Study indicated the importance of locating the source of mealy bug
infestation first, and sampling that accounts field areas largely parallel to the infestation
source. Sample sizes of 25 to 50 plants per acre were sufficient in fields with known
source of infestation such as roadside, weeds and water channels. A samples size of 100
plants per acre was necessary for clean fields where prior knowledge of mealybug
infestation is not available.
5. A new sampling plan devised and optimum sample size established for field population
estimates of mirid, Campylomma livida in cotton + pigeon pea cropping system in the
central zone and Creontiades biseratense in cotton + pulse – maize cropping system in
South zone. The results showed that top one third portion was found to be appropriate for sampling both the species. Sampling on 10 plants per acre was found to be optimum.
Two different sampling techniques viz., net sweeping and tapping the shoots with
polythene cover underneath were tried along with the visual count method. Among the
three techniques tested, visual count method was found to be the most consistent and
reliable for population estimate.
6. A novel and simple protocol for estimating lifecycle parameters of the emerging pest
mealybug, Phenacoccus solenopsis Tinsely was developed for biology studies at constant
temperatures. Published biology of mealybug species, Phenacoccus solenopsis inhabiting
the cotton-wheat cropping system of the North Zone and the cotton + pigeonpea cropping
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system of the Central Zone. Publication on biology of Paracoccus marginatus is in the
pipeline
7. Established life table parameters for both the mealybug species on cotton along with stage-
wise mortality factors and their rates. Designed a prototype parasitoid emergence trap used
for incubating large number of field collected samples of mealybugs on a variety of hosts during the season and off-season at prescribed intervals. Published the natural regulation of
mealybug in the cotton-wheat cropping system
8. A new record of weevil, Tanymecus pronceps (Faust) (Coleoptera: Curculionidae) on Non-Bt cotton feeding on leaves, squares and flowers during off-season has been made.
Four new species of parasitoids on cotton mealybug, Phenacoccus solenopsis Tinsely have
been recorded. Two have been identified as Prochiloncurus albifuniculus (Hayat et. al.)
and Prochiloncurus pulchellus (Silvestry) (Hymenoptera: Encyrtidae) which caused 2-4%
parasitization of mealybug. The two unidentified parasitoid species caused 20 - 62%
parasitization. 9. A technique was developed to identify larval instars of rice yellow stem borer,
Scirpophaga incertulas by measuring the width of mandibles. Cohort based field studies to
study the development of yellow stem borer, revealed that the development of larvae from a single cohort was asynchronous. Observations revealed that there was no correlation
between the size and age of the larvae. Head capsule width was employed to delineate the
larval instars but concluded that it may not be reliable. Mandibular width of the larva (which can be measured easily under a microscope) showed its potential for distinguishing
larval instars of rice yellow stem borer
10. Published life table parameters for rice leaf folder and the field validation is currently
underway in two rice based cropping systems.
11. Estimated life cycle parameters for Brown Plant Hopper (BPH) and White-backed Plant
Hopper (WBPH) under variable temperatures for 4 seasons over two years
12. Established field growth rates and population dynamics for yellow stem borer (YSB) and
BPH in major rice based cropping systems. Published two papers on influence of natural
mortality factors on BPH in rice-vegetable/pulse cropping system of Eastern India 13. Developed a novel methodology for capturing cropping systems effect on onset, intensity
and spread of cotton mealybug in a geospatial cum temporal perspective using satellite
data and geo-referenced with differential global positioning system (DGPS). Pest
incidence data was collected at weekly intervals at geo-referenced field sites selected
based on crop diversity, adjacency to roads, crop fallows and uncultivated fallows. Spatial
and temporal overlays of crop mask and pest incidence were made at the start, mid and end
of season. Mealybug damaged fields were identified by classifying RS image based on
ground truth surveys and validation. This study indicated the role of alternate hosts in
triggering pest incidence in cotton fields adjacent to roadsides and crop fallows
14. A web enabled software tool (calculator) was developed in JAVA for constructing stage-wise life-table parameters for insect species. The programme calculates stage-wise survival
and K-value when initial field population size and stage-specific key mortality factors
obtained from field studies is fed as input 15. Developed web-enabled software for on-line data input and reporting system for field
survey data on cropping systems agronomy and pest surveillance. The software is user ID
and password protected for viewing field data at weekly intervals and compiling of time-
series data for further analysis. The data input and reporting system will be useful for
eventual development of DSS. \
16. Developed techniques to derive spatial level RS based indices using ENVI image
processing s/w and spatial level sounder data in Matlab s/w; Analysis using
combination of raster (image) and vector (grid) data in ERDAS and ARC GIS s/w
was standardized to facilitate extrapolation of model outputs
17. Validated Weather Research Forecast (WRF) simulation model derived gridded
meteorological data (min and max temperature) with ground station data at Sirsa
after conversion to raster format and re-projection of database at 5 Km interval (R2
5
= 0.89).
18. Generated life table parameters on population dynamics of Rice Yellow Stem
Borer, Brown Plant Hopper (BPH) across three cropping systems and of leaf folder
at two cropping system locations
19. Generated life cycle parameters at 10 constant temperatures including development
and mortality, fecundity and longevity for cotton mealybug, Phenacoccus
solenopsis Tinsley at three locations; for Paracoccus marginatus in Southern zone;
for leaf folder in rice at 7 constant temperatures and for for BPH/WBPH at 8
constant temperatures
20. Developed a process based model for simulation of yellow stem borer population
dynamics and tested model outputs for two cropping system locations
21. Developed Hyperspectral analysis protocol to identify sensitive spectral bands for
quantified differential infestation levels of mealybug and jassids in cotton; leaf
folder and BPH in rice. Spatial comparisons of key sap feeders (jassid and aphid)
was carried out based on three years data (2008-2010) from 14 centres
representative of North, Central and South cotton growing regions of the country.
22. Developed remote sensing based models for assessment of mealybug severity on
cotton at Sirsa, Haryana using a regression model with satellite based Modified
Perpendicular Drought Index (MPDI) and weather data (positively correlated with
min. temperature and negatively with relative humidity with an R2 of 0.6) which
was in agreement with the ground truth as mealybug severity was greater in drier
areas. Similary NDVI based classification of the IRS P6 LISS IV data of the target
village at Warangal district, Andhra Pradesh revealed four distinct classes with
NDVI values less than 0.17 denoting severe mealybug damaged cotton fields; 0.17
- 0.26 denoting moderately damaged and above 0.26-0.40 for healthy cotton fields.
Results of the grid wise (250 m) analysis of the sampled area for spatial
autocorrelation showed Moran’s Index values in the range of 0.15 to 0.23 for the
grids implying that nearby areas tend to be similar in attributes. Buffer analysis
with first 15 m from road showed the number of pixels with severe infestation is
very high (825) compared to the next 15 m buffer (533) indicating a strong
relationship between mealybug severity in cotton fields adjacent to roadsides that
harbor many alternate weed hosts
23. Released a CD on crop-pest-weather database covering rice and cotton crops on
19th September, 2011 in the National Stakeholders Consultation on Climate
Change Platform, Hyderabad. The crop-pest-weather database for rice and cotton
documents weekly pest records along with corresponding weather across several
locations in India. It is also developed as a web enabled format in the previous year
which will now be hosted on the CRIDA website by 30th Sep 2011. The database in
CD format has a user friendly front end for retrieving and viewing historical pest
and weather records in the form of graphs and data tables. Pest graphs of time
series data can be viewed for the selected period and also be superimposed on
corresponding weather data. The database is useful for pest modeling groups as it
provides a ready access to data and also to extension functionaries involved in
agro-advisory services to compare current season pest alerts with past trends for a
given location.
24. Filed a patent (3515/CHE/2011 dated 12-10-2011) for an “Insect Parasitoid and
predator collection device” for use in assessing density, diversity and seasonal
dynamics of parasitoid and predator insects acting on the pest populations under
field conditions in several field and plantation crops
6
8. Salient achievements/innovations:
(List two achievements with half page write-up and high resolution photographs)
(Also send the photographs separately as .jpg format rather than by pasting on MS word or
PowerPoint file).
1) Fixed precision sampling plans for assessment of cotton mirid, Crenotiades
biseratense population density in Bt cotton
Mirid bug, Crenotiades biseratense (Distant) (Hemiptera: Miridae) is an emerging pest on Bt
cotton in the southern cotton growing zone (Fig. 1). Both nymphs and adults cause square
and green boll damage to the extent of 16-18% and hence assessing the field population
density is crucial for timely and cost effective pest management decisions to prevent
economic damage in Bt cotton in the southern zone.
Field pest incidence data for the period 2009-2011 generated at CICR-RS, Coimbatore was
utilized to estimate parameters using Taylor’s power law and Iwao’s patchniess index which
indicated an aggregate distribution of nymphs and adults from whole plant sampling. The
parameter estimates further used to arrive at density of different life stages of mirids at fixed
precision levels (Fig. 2) and also to find out the optimum sample sizes for different densities
of mirid life stages at 0.1, 0.15 and 0.25 fixed precision levels (Fig. 3).
For the first time fixed precision sampling plans have been devised for the cotton mirid at
user defined fixed precision levels. The decision tool will be helpful in accurate estimation of
population density of mirid bug in Bt cotton for timing of pest management interventions
based on a set economic threshold.
a b
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Fig. 1. Cotton mirid bug, Crenotiades biseratense (Distant) (Hemiptera: Miridae) a)
Nymph b) Adult; Feeding damage on c) square and d) green boll
Fig. 2. Estimation of density of mirid life stages on Bt cotton whole plants at 0.25 precision
level
c d
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Fig. 3. Estimation of optimum plant samples for a given mean density of mirid on Bt cotton
at 0.1, 0.15 and 0.25 precision levels
9
2) Thermal summation phenology model for prediction of rice leaf folder,
Cnaphalocrocis medinalis Guenee in major rice based cropping systems
Leaf folder, Cnaphalacrocis medinalis Guenee is a serious pest on rice in major rice
growing areas of the country with estimated yield reduction ranging from 40 - 60% in
outbreak years (Fig. 4). Degree day model (Thermal summation model) can be used to
predict leaf folder peak population / activity for effective monitoring and management of the
pest. Temperature is the most critical abiotic factor that exerts profound influence on the
development of insects. Insects require certain amount of heat units (degree days) to develop
from one life stage to the other. Temperature thresholds and thermal constants are potential
indicators of the distribution and abundance of rice leaf folder. The accumulated degree days
(ADD) form the base for developing phenology model to predict populations of leaf folder in
the field.
The study was conducted at the Directorate of Rice Research (DRR), Rajendranagar,
Hyderabad. Laboratory experiments were carried out in environmental chambers (MLR
350H, SANYO electric Co.Ltd., Japan) in which relative humidity (60 ± 5 %) and
photoperiod (14L:10D) were kept constant. Response to temperature was assessed by
exposing rice leaf folder, Cnaphalocrocis medinalis eggs to seven constant temperatures (18,
20, 25, 30, 32, 34 & 35°C) and allowing them to develop into adults. At each temperature
survival and duration of development was noted. Linear regressions were used to determine
the relationship between developmental rate (1/duration) and temperature and to estimate
intercept (a) and slope (b). After determining the lower temperature threshold for each stage,
thermal constant (the number of degree days required for complete development) was
estimated from the reciprocals of the fitted regression line (b-1). Thus, total degree days
required for the development of each stage and from egg to adult was estimated. A non linear
Logan 6 model was used to estimate the upper developmental threshold temperature (Tmax)
and optimum temperature threshold (Topt) for each stage.
The phenology model was developed after evaluating several bio-fix dates for wet and dry
seasons for closeness in predicted and observed accumulated degree-days (ADD) required for
peak moth activity coinciding with panicle initiation stage of the crop. Linear regression of
the percent development of the pest vs ADD yielded the model with a coefficient of
determination (R2 = 0.94) (Fig.3)
The DD model is developed and being applied to rice leaf folder for the first time. Moreover,
leaf folder damage is highly visible to farmers and is often the most important stimulus for
insecticide application. Prediction of leaf folder peak incidence/ activity based on the DD
model will help the farmer in timing the pest management interventions more effectively.
10
Fig. 4. Extensive leaf damage in rice due to outbreak of leaf folder on Sona Mahsuri variety
(Inset: larva in leaf fold and close up of damaged leaves devoid of chlorophyll)
Fig. 5. Linear regression of cumulative percent catch of leaf folder moths in light trap and
ADD across five years (R2 = 0.94)
11
9. Financial Management
Statement of budget released and utilization (since inception): (Rs. lakh)
Sl. No. Lead centre/Co-
partners
Total Sanctioned
Budget
Fund Released up to
Dec 2011
Fund utilized
up to Dec 2011
1. CRIDA 148.7103 125.0572 126.55938
2. CICR 84.736 58.44641 57.68985
3. DRR 87.3381 52.65156 54.74885
4. NCIPM 17.278 10.71512 10.4559
Total 338.0624 246.8703 249.45398
10. Details of CAC/CIC/CMU meetings held:
A. Since inception (Dates only)
Launch workshop 1 28-29 Nov 2008
CAC meetings 4 29th Nov 2008
8th Oct 2009
20th May 2011
15th Dec 2011
CIC meetings 10 7th Nov 2008
13th Feb 2009
6th June 2009
18th July 2009
8th Oct 2009
15th Feb 2010
26th June 2010
14th Dec 2010
19th May 2011
15th Dec 2011
CMU meetings 2 13th Feb 2009
6th June 2009
B. For reporting period only (Details):
Sl.No Opertionalization
of Governance
(as applicable)
Dates of
meetings
Agenda discussed
(points in brief)
Follow-up
action taken
1. 3rd
CAC 20th May 2011 Publications,
extension proposal
Extension
proposal
submitted to
PIU by Oct,
2011 2 4
th CAC 15
th Dec 2011 Authentic
taxonomic
identification;
Sharing of data;
Validation of
models; Additional
budget approval for
DRR
Additional
budget for
DRR approved
by PIU
12
3. 9th
CIC 19th
May 2011 Budget and
contractual
positions
Submitted to
PIU
4. 10th
CIC 15th
Dec 2011 Budgetary issues Submitted to
PIU 10. Meetings/seminars/trainings etc. organized
Organizer
(Name &
Address)
Details of Meetings/ Seminars/
Trainings, etc.
Duration
(From-To)
No. of Personnel
trained
Nil
11. Participation in Conference/meetings/seminars/trainings/Radio talks etc.
A.National
Participant
(Name &
Address)
Details of Meetings/Seminars/Trainings/Radio
talk, etc.
Duration
(From-To)
M Amutha,
CICR-RS,
Coimbatore
2nd International congress of Global warming
on Biodiversity of Insects: Management and
conservation, held at Bharathiyar University,
Coimbatore.
24-26 August 2011
B Dhara Jothi,
CICR-RS,
Coimbatore
World Cotton Research Conference -5 held at
Mumbai.
7-11 November 2011
VS Nagrare,
CICR, Nagpur
World Cotton Research Conference -5 held at
Mumbai.
7-11 November 2011
M Prabhakar,
CRIDA,
Hyderabad
National symposium on Agrometeorological
research and services to combat climate
change challenges held at BCKV, Kalyani,
West Bengal
9-10 December 2011
V Jhansi
Lakshmi, DRR,
Hyderabad
3rd International Conference on Climate
Change, Forest Resource and Environment
held at Kerala organized by Dept. of Env.
Sciences, University of Kerala,
Thiruvananthapuram in association with
National Environmentalists Association,
India
9-11 December, 2011
V Jhansi
Lakshmi, DRR,
Hyderabad
IUPAC sponsored second international
conference on Agrochemicals protecting
crops, health and environment Role of
chemistry for sustainable agriculture held at
IARI, New Delhi
15-18 February 2012
A P Padma
Kumari, DRR,
Hyderabad
International symposium on '100 years of rice
and looking beyond held at TNAU,
Coimbatore
9-12 January 2012
B.International
13
Participant
(Name &
Address)
Details of Meetings/Seminars/Trainings/Radio
talk, etc.
Duration
(From-To)
Nil
12. Publications:
Prabhakar M, Prasad, Y G, Thirupathi M, Sreedevi G, Darajothi N. 2011. Use of
groundbased hyperspectral remote sensing for detection of stress in cotton
caused by leafhopper (Hemiptera: Cicadellidae). Computers and Electronics in
Agriculture, 79: 189-198.
Prasad, Y G, Prabhakar M, Sreedevi G, Tirupathi M. 2011. Spatio-temporal dynamics
of the parasitoid, Aenasius bambawalei Hayat (Hymenoptera: Encyrtidae) on
mealybug, Phenacoccus solenopsis Tinsley in cotton based cropping systems
and associated weed flora. Journal of Biological control, 25(3): 198-202.
Vennila S, Meenu Agarwal, Dharmendra Singh, Prasenjit Pal and Biradar V K. 2011.
Approaches to weather based prediction of insects: a case study on cotton pink
bollworm Pectinophora gossypiella. Indian Journal of Plant Protection,
39(3):163-169.
Rishi Kumar, Swami D., Kumhar K. C. & Bhawaria R.S.2011. New formulation of
acephate and other insecticides against sucking pests in cotton. Indian Journal
of Plant Protection 39(3): 236-238.
Dharajyothi B, Surulivelu T, Sonai Rajan T and Valarmathi R. 2011. First Record on
the Establishment of the Parasitoid Acerophagus papayae Noyes & Schauff on
Paracoccus marginatus Williams and Granara de Willink in cotton. Karnataka
Journal of Agricultural Sciences 24(4): 536-537. 13. Media products developed/disseminated:
CD, Bulletins, Brochures, etc.
(Year wise); title No. of copies
Distrib
ution
2008:
Project brochure 500 400
2010:
A treatise on mealybugs of Central Indian cotton
production system. NCIPM Technical Bulletin No. 24, pp.
50
200
50
2011:
Compendium of cotton Mealybugs, CICR, Nagpur, pp 52
200 50
2011:
Spatio-temporal distribution of host plants of Cotton
mealybug, Phenacoccus solenopsis Tinsley in India.
NCIPM Technical Bulletin no. 26, NCIPM, Pusa Campus,
New Delhi, pp. 49
200 60
2011:
CD on Crop-Pest-Weather database 200 50
14
14. Cumulative list of Patents (if any):
Patent developed by
(Name & Address) Patent details (Granted/Filed) Application No.
Dr M Prabhakar,
Senior Scientist
(Entomology) & Dr
YG Prasad, Principal
Scientist
(Entomology)
Patent filed. Insect Parasitoid
and predator collection device
Patent No:3515/CHE/2011 dated
12-10-2011
15. Knowledge products developed: (Applicable to component 1 only)
16. Assets Generated:
Equipments/Vehicles/Research facilities created from starting to March 2011
Sl. No. Lead centre/
Co-partners
Equipment
(Make &
Model)
Vehicle
(Make &
Model)
Research
facilities
Date of
purchase
Amoun
t spent
(Rs. in
lakhs)
Nil
17. Infrastructure facilities developed:
Sub-Project Leader
and Partners
Infrastructure
developed
Numbers/Size/
Capacity Amount (Rs.)
18. Revenue generated (cumulative upto March, 2011)
(From sale of farm produce, patents, commercialization, trainings, etc
Sub-Project Leader
and Partners Source of revenue Amount (Rs.)
Nil
19. Personnel involved in sub-project
Leader and Partners
(Name & Address) Regular Contractual
Sc. Sr. Sc Pr.
Sc. Tech. RA SRF TA
O
A
CRIDA, Hyderabad 4 1 2 1
CICR, Nagpur 2 1
CICR-RS, Coimbatore 1 1 1
CICR-RS, Sirsa 1 1
DRR, Hyderabad 3 1 2
APRRI, Maruteru 1
PAU, Ludhiana 1 1
15
NCIPM, New Delhi 1 1
SAC, Ahmedabad 1 1
20. Honour and Awards
Sub-Project Leader
and Partners Name of personnel
Honour/Award
(with date)
- - -
21. Linkages and collaborations (specific to project activities)
Sub-Project Leader and
Partners Linkages developed
NCIPM, CRIDA and State
Dept. of Agriculture,
Maharashtra
Crop Pest Surveillance and Advisory Project (CROPSAP) –
Current season pest incidence data 33 districts along with weather
data acquired from 19 weather stations acquired
National Information system for Pest Management (Bt cotton)
project – Sharing of current season data on cotton pests from 9
states and also historical pest data
22. Status of employment generation (man-days/year)
Lead centre/
Co-partners
Employment generation up to March
2012
Employment
generation during
April 2011 to
March 2012 Man days
CRIDA 2950 1000
CICR & Centres 7000 2400
DRR & Centres 8750 2500
23. Action taken for post NAIP sustainability of the sub-project activities:
Extension proposal submitted. The project goal of developing a decision supports system for
management of rice and cotton pests for operational use will be continued under the National
Initiative on Climate Resilient Agriculture in operation at CRIDA.
24. E&S frameworks developed and implemented (If applicable)
Environmental safeguard Social safeguard
Positive
effects Negative effects
Mitigation
measures taken to
minimize the
negative effects
Positive
effects
Negative
effects
Mitigation
measures
16
Cultural and
biological
management
practices for
pests and
forewarning
for timely and
effective use
of pest control
interventions
based on
chemicals will
have beneficial
impact on the
environment
Pest management
decisions often
include
interventions with
synthetic pesticides
with potential
negative effects on
the environment
Pesticides
belonging to
WHO Class 1a
and 1b
(extremely toxic
category) will
not be
recommended for
pest management
decisions
emanating from
the DSS
Nil Nil Nil