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ISSN 0256-8748Social SciencesWorking PaperNo. 2010 - 2
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Assessing potato farmers’perceptions on abiotic stresses andimplications for crop improvementresearch in heat-prone Gujarat, India
Rajesh K Rana, Neeraj Sharma,MS Kadian, Girish BH, S Arya, D Campilan,SK Pandey, NH Patel, C. Carli, R. Schafleitner, M. Bonierbale, BP Singh, G. Thiele
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Assessing potato farmers’perceptions on abiotic stresses and
implications for crop improvementresearch in heat-prone Gujarat, India
Rajesh K Rana, BP Singh, SK PandeyCentral Potato Research Institute (C PRI),
Shimla-171001 HP, IndiaNeeraj Sharma, MS Kadian, Girish BH, S Arya, D Campilan
International Potato Center (CIP),Regional Office for SWCA, New Delhi, India
NH PatelPotato Research Station, Banaskantha, Gujarat, India
C. CarliInternational Potato Center (CIP)
Liaison Office for CGIAR-CAC, Tashkent, UzbekistanR. Schafleitner, M. Bonierbale, G. Thiele
International Potato Center (CIP), Lima, Peru
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ISSN 0256-8748
CIP publications contribute important development information to thepublic arena. Readers are encouraged to quote or reproduce material fromthem in their own publications. As copyright holder CIP requestsacknowledgement, and a copy of the publication where the citationor material appears. Please send a copy to the Communication and PublicAwareness Department at the address below.
International Potato CenterP.O.Box 1558, Lima 12, [email protected] • www.cipotato.org
Produced by the CIP Communication and PublicAwareness Department (CPAD)
Correct citation:Assessing potato farmers’ perceptions on abiotic stresses and implicationsfor crop improvement research in heat-prone Gujarat, India. Rajesh K Rana,Neeraj Sharma, MS Kadian, Girish BH, S Arya, D Campilan, SK Pandey, NH Patel,C. Carli, R. Schafleitner, M. Bonierbale, BP Singh, G. Thiele. InternationalPotato Center (CIP), Lima, Peru. Working Paper 2010-2. 57 p.
LayoutZandra Vasquez
Printed in Peru by Comercial Gráfica SucrePress run: 150December 2010
Assessing potato farmers’perceptions on abiotic stresses andimplications for crop improvementresearch in heat-prone Gujarat, India
The Social Sciences Working Paper Series is intended to advance social science knowledge about production and utilizationof potato, sweetpotato, and root and tuber crops in developing countries to encourage debate and exchange of ideas. Theviews expressed in the papers are those of the author(s) and do not necessarily reflect the official position of the InternationalPotato Center (CIP) or of the United States Agency for International Development of the United States Government.
Comments are invited.
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Table of Contents Acronyms and Abbreviations .................................................................................................................................. vi Abstract .................................................................................................................................................... vii Acknowledments .................................................................................................................................................... vii Executive Summary...................................................................................................................................................... 1 Introduction ...................................................................................................................................................... 1 Objectives of the survey ............................................................................................................................................. 1 Methodology ...................................................................................................................................................... 2 Recommendations ...................................................................................................................................................... 5 1. Introduction ...................................................................................................................................................... 6 2. Objectives of the survey........................................................................................................................................ 8 3. Methodology ...................................................................................................................................................... 8 4. Results and Discussion.........................................................................................................................................11 4.1. Diagnosis of farmers’ perception on variety development .........................................................11 4.1.1. Responses on yield enhancing attributes ....................................................................11 4.1.2. Desirable and undesirable varietal characters............................................................12 4.1.3. Reasons for abandoning varieties...................................................................................13 4.1.4. Responses on heat and drought stress .........................................................................14 4.1.5. Priorities for breeding future varieties ..........................................................................15 4.1.6. Early maturing potato varieties .......................................................................................16 4.1.7. Processing varieties .............................................................................................................17 4.2. Baseline indicators for future impact assessment ..........................................................................17 4.2.1. Educational qualification ...................................................................................................17 4.2.2. Primary occupation..............................................................................................................18 4.2.3. Gender ratio of head of households ..............................................................................18 4.2.4. Labour participation............................................................................................................19 4.2.5. Net annual family income..................................................................................................19 4.2.7. Proportion of potato income............................................................................................21 4.2.8. Dairy animals..........................................................................................................................21 4.2.9. Household assets..................................................................................................................22 4.2.10. House condition....................................................................................................................22 4.2.11. Nutritional security ..............................................................................................................23 4.2.12. Water and electricity connections ..................................................................................23 4.2.13. Toilets .......................................................................................................................................23 4.2.14. Social participation ..............................................................................................................24 4.2.15. Migration.................................................................................................................................24 4.2.16. Other indicators ....................................................................................................................24 4.2.17. Expenditure pattern ............................................................................................................25
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4.2.18. Food expenditure to net income ratio.......................................................................... 25 4.2.19. Farm assets ............................................................................................................................. 26 4.2.20. Land use pattern................................................................................................................... 26 4.2.21. Soil health awareness ......................................................................................................... 27 4.2.22. Irrigation status ..................................................................................................................... 28 4.2.23. Adoption rate ........................................................................................................................ 29 4.2.24. Variety wise potato yield ................................................................................................... 30 4.2.25. Seed replacement rate ....................................................................................................... 30 4.2.26. Seed source ............................................................................................................................ 30 4.2.27. Seed rate.................................................................................................................................. 31 4.2.28. Seed size.................................................................................................................................. 32 4.2.29. Cut/whole seed use ............................................................................................................. 32 4.2.30. Retention of own seed........................................................................................................ 33 4.2.31. Price satisfaction................................................................................................................... 33 4.2.32. Post Harvest Losses.............................................................................................................. 34 4.2.33. Level of mechanisation ...................................................................................................... 35 4.2.34. Capacity building ................................................................................................................. 35 Conclusions .................................................................................................................................................... 37 Recommendations .................................................................................................................................................... 38 References .................................................................................................................................................... 41 Annexes .................................................................................................................................................... 43 List of Tables Table 1. Sampling details (No. of respondents)....................................................................................... 10 Table 2. Farmers’ perception on potato yield enhancing attributes................................................ 12 Table 3. Responses on desirable and undesirable qualities of different varieties (%)................ 13 Table 4. Reasons for varietal abandonment (multiple responses).................................................... 14 Table 5. Relative importance of abiotic stresses (% of responses).................................................... 15 Table 6. Average inventory of lactating animals..................................................................................... 22 Table 7. Average inventory of farm assets (Number per farm). ......................................................... 26 Table 8. Land use pattern of sampled households (Land in ha). ....................................................... 27 Table 9. Average area under different crops (ha). .................................................................................. 27 Table 10. Soil health awareness indicators.................................................................................................. 28 Table 11. Irrigation status and quality of irrigation water ...................................................................... 29 Table 12. Area under different potato varieties (Ha per farm).............................................................. 29 Table 13. Variety wise potato yield during 2007-08(tonne/ha)............................................................ 30 Table 14. Seed replacement rate of different potato varieties (gap in years) ................................ 30 Table 15. Source of seed-potato used at respondents’ farms (%) ....................................................... 31 Table 16. Variety wise seed rate(tonne/ha) ................................................................................................. 31 Table 17. Size of seed-potato used by respondents (% of responses)............................................... 32 Table 18. Category-wise cut/whole seed-potato utilization pattern (% of responses) ................ 33 Table 19. Method of producing own seed (% of responses)................................................................. 33 Table 20. Price satisfaction level of potato farmers (% of responses)................................................ 34 Table 21. Assessment of post harvest losses (Multiple responses) ..................................................... 35 Table 22. Level of mechanization (% of responses).................................................................................. 36 Table 23. Extent of participation in training activities (% of responses) ........................................... 36 List of Figures Figure 1a. Leading potato growing countries (area) ....................................................................................6 Figure 1b. Leading potato growing countries (production) ......................................................................6 Figure 2. Map of the study area.........................................................................................................................9 Figure 3. Priority index (0-100) of various varietal attributes ............................................................... 16
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Figure 4. Percent relative importance of top preferred five attributes. ............................................16 Figure 5. Education index (1-5) of head of the family .............................................................................18 Figure 6. Labour participation across farm categories (5%)..................................................................19 Figure 7. Annual Potato Income (US$) .........................................................................................................20 Figure 8. Net annual family income of respondents (US$)....................................................................20 Figure 9. Per capita annual income (US$)....................................................................................................21 Figure 10. Percent contribution of potato.....................................................................................................21 Figure 11. House condition index (1-5) ..........................................................................................................22 Figure 12. Nutritional security across farm categories (%).......................................................................23 Figure 13. Social participation level (%). ........................................................................................................24 Figure 14. Monthly food and total expenditure (US$)...............................................................................25 Figure 15. Ratio of food expenditure and net income (Engel’s curve).................................................25
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Acronyms and abbreviations ACGR = Annual compound growth rate
CPRI = Central Potato Research Institute, Shimla (India)
CIP = International Potato Centre
DES = Directorate of Economic and Statistics, Ministry of Agriculture, GOI
DTH TV = Direct to home television
FAO = Food and Agriculture Organization of the United Nations, Rome
GOI = Government of India
GTZ = Gesellschaft fuer Technische Zusammenarbeit (A German co-operation enterprise for
sustainable development with worldwide operations and major emphasis on sustainably
improving people’s living conditions under difficult circumstances)
ICAR = Indian Council of Agricultural Research, Ministry of Agriculture, Government of India, New
Delhi
INR = Indian national rupee(s)
MT = Metric tonne
PHL = Post harvest losses
PRS = Potato Research Station, Deesa, Banaskantha, Gujarat (India)
PTM = Potato tuber moth
q = Quintal (0.1 tonne)
SWCA = South-West and Central Asia
TE = Triennium ending (year)
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Acknowledgements
This study is an outcome of collaborative work of CIP and CPRI (ICAR). Authors thank Dr. RC
Maheswari, Vice Chancellor and Dr. SBS Tikka, Director of Research, Sardarkrushinagar
Agricultural University Dantiwada, Gujarat, for providing help in selecting sites. We are grateful to
Dr. HN Verma, retired scientist PRS Dessa, Gujarat, for his constant support during field survey. We
are extremely thankful to Mr. Kalidas B Chaudhari, Mr. Shiva K Chaudhari, Mr. Vinod Patel, Mr.
Mahesh L Chaudhari and many other progressive farmers of Gandhinagar district for their field
support and co-operation. We are especially thankful to the GTZ for financially supporting this
study. Sincere thanks are due to Dr. Jai Gopal, Principal Scientist and Head, Division of Crop
Improvement, CPRI-Shimla for suggesting valuable improvements in the manuscript.
Comprehensive peer review by Drs. Victor Mares, Guy G. Hareau and Thomas Miethbauer, CIP-
Lima helped authors to remove several deficiencies in the report.
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A S S E S S I N G P O T A T O F A R M E R S ’ P E R C E P T I O N S O N A B I O T I C S T R E S S E S 1
Assessing potato farmers’ perceptions on abiotic stresses and implications for crop improvement research in heat-prone Gujarat, India
EXECUTIVE SUMMARY
Introduction India is the fourth largest country in terms of potato area and the third largest in terms of potato
production. Potato has a significant contribution to the socio-economic condition of Indian
people.
Gujarat has shown the fastest annual compound growth rate (ACGR) in terms of potato area,
production and productivity among Indian states. ACGR of area and production from 1998-99 to
2006-07 were 4.5 and 7.9% for Gujarat against 1.31 and (-) 0.5% for all India. The latest official
potato production data elevates Gujarat to third largest potato producing state from the fourth
one (Kesari and Rana, 2008). Gujarat also has the highest potato productivity among Indian states
from 2004-05 to 2007-08 (DES, 2010).
Temperature was estimated to rise approximately by 1, 3 and 50C during main Indian potato
growing winter season by year 2020, 2050 and 2080, respectively (Lal et al., 2008). Potato
production is estimated to fall through 2020 and 2050, respectively, by 19.65% and 44.90% in
Karnataka; 18.23% and 31.77% in Gujarat; 13.02% and 24.59% in Maharashtra; and 9.65% and
16.62% in Madhya Pradesh (Singh et al., 2008). An urgent need of developing heat and drought
tolerant potato varieties was felt and a CIP and CPRI (ICAR) collaborative project funded by GTZ
“Enhanced Food and Income Security in SWCA through Potato Varieties with Improved Tolerance
to Abiotic Stress” was initiated.
Objectives of the Survey: In order to mitigate the risk of non-adoption of potato varieties by farmers once they are
developed it was decided to carry out a diagnostic cum baseline survey in proposed project
areas. Answers to the following questions were elicited in this survey.
1. What actions farmers think, can further increase potato yield and income on their farms?
2. What is the farmers’ perception on desirable and undesirable characters of existing potato varieties?
3. Why farmers abandoned some potato varieties in the past? 4. To what extent potato growers consider abiotic stresses a limiting factor? 5. What priorities farmers regard as desirable characters in the future potato varieties?
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6. How to compare production systems and livelihood status of potato and non-potato farmers?
7. How to identify and fix baseline indicators and standpoints for future impact assessment of the project activities.
Methodology The study is mainly based on primary data collected during February 2009 from three sampled
villages in Gandhinagar district of Gujarat. Respondents were selected from all economic
backgrounds viz. non-cultivators, non-potato growers (farmers who have not grown potato
continuously for the last two years i.e. 2007-08 and 2008-09) and various categories of potato
growers (marginal, small, medium and large). Detailed information about the village was
obtained from Panchayat office (Village council). Interview schedule was specially designed to
meet the requirements of the survey. Simple statistical procedures and methods were employed
to derive meaningful conclusions out of the collected data. Chi-square test was employed to test
independence among potato farmers’ categories on various factors/ attributes.
Farmers’ perception on varietal characters: All the respondents across all farmers’ categories
believe that yields of potato crop on their farms can further increase. Very high proportion of
farmers (98.5%) believes that high yielding new potato varieties can further increase their potato
yield. Other closely perceived factor by the farmers was heat tolerant potato varieties (95.5%)
followed by proper late blight control (81.5%), water saving technologies (74.5%) and drought
tolerant varieties (69%). Higher yield, early maturity, desirable (big and uniform) tuber size, good
storability, higher price of the output and suitability for processing were important desirable
characters the farmers were looking for. Low yield, susceptibility to heat and late blight, late
maturity, bad storability and low price of the output were important undesirable characters in
farmers’ mind.
Priorities for breeding future varieties: The responding farmers revealed heat tolerance in
potato varieties as their first priority (index = 92 and relative importance = 22.43%) in future
potato varieties. High yield was the second most important attribute. Resistance to late blight
and potato tuber moth were respectively the third and fourth most important attributes on
farmers’ preference list. Early maturity and suitability of processing are two very important
attributes, which may be given higher importance than elicited by respondents.
Baseline indicators for future impact assessment: The following baseline standpoints/
indicators were analyzed and discussed for future impact assessment of project activities in the
study area.
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1. Educational qualification: Level of education of average household head in non-potato
growers was slightly (3% lower) lower than the potato growing farmers. However this
gap was much wider (46% lower) in case of non-farmers.
2. Primary Occupation: Proportion of potato growers having farming as their primary
occupation was slightly higher (at 88%) than the non-potato growers (at 83%). But, more
or less equal proportion of non-farmers was finding primary occupation in labour.
3. Gender ratio of head of households: All heads of surveyed farming households were
males. However, 5% of heads of non-cultivator households were females.
4. Labour participation: Labour participation of non-potato growers was marginally
higher than that of potato growers. Overall 35% of heads of households in the area work
personally on their farms.
5. Net annual family income Net annual family income: Net family income in US$ was
5348 for potato growers, 2095 for non-potato growers and just 885 for non-farmers.
Average annual net family income of potato growers was 2.55 times higher than the
non-potato growers. Average annual potato income showed tremendous increase with
the increase in potato holding (marginal = UD$ 338 to large potato farmers = US$ 6682).
Gap in annual net family income between farmers and non-farmers was again very wide.
6. Per capita income: Even the marginal potato farmers (most disadvantaged among
potato farmers) were having per capita income (US$ 616) higher than the non-potato
growers (US$ 328). However, non-farmers were the poorest category of respondents in
the study area with annual per capita income just US$ 186.
7. Proportion of potato income: Proportion of potato income in the overall agricultural
income of potato farmers was nearly 36%. Potato contributed nearly 28% of the net
family income (from all sources).
8. Dairy animals: Number of dairy animals were more or less same among all potato
growers’ categories (7.43 all potato farmers). However, non-potato growers (3.00) and
non-cultivators (2.45) had much less number of milch animals as compared to the potato
farmers.
9. House condition: The house condition (range 1 to 5) of even the marginal potato
farmers (score = 4.06) was very near to the highest category (INR 0.5 million house =
score 5) considered during the survey. However, house condition of non-potato growers
(score = 2.67) was much below as compared to the potato growers. The house condition
of non-farmers (score = 1.80) was even worse vis-à-vis the non-potato growers.
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10. Nutritional security: Highest proportion of non-farmers (35%) in the study area was
nutritionally insecure followed by about 18% marginal potato growers and non-potato
farmers (each category).
11. Toilets: Nearly one third of the respondents among non-potato growers and three
fourth among non-farmers were going to open fields/ places for answering to the
natural call.
12. Social participation: In this regard tremendous difference was observed between
potato farmers and non-potato farmers indicating that potato farmers in the study are
socially more united and active. The social participation level of non-potato growers
(17%) and non-farmers (5%) was very low.
13. Migration: About 10% of the non-farmer respondent families reported migration from
other areas.
14. Expenditure pattern: On an average monthly total and food expenditure was US$ 150
and 85, respectively. The total monthly expenditure across various categories was US$
180 for potato growers, 118 for non-potato growers and 71 for non-farmers.
15. Food expenditure to net income ratio (Engel’s curve): Among respondent categories
potato farmers were having lowest (12%) and non-farmers the highest (54%) food
expenditure to total family income ratio.
16. Land use pattern: On an average potato farmers were using 63% of cultivated land for
potato (range 50% for marginal to 77% for large potato growers).
17. Adoption rate: Kufri Badshah (1.284 ha per farm) was the leading potato variety in the
area followed by K. Pukhraj (0.684 ha per farm) and K. Luavkar (0.044 ha per farm) during
2008-09.
18. Variety wise potato yield: Overall the potato yield on sampled farms was 28 tonnes per
hectare against the state average of 26.7 tonnes during the triennium ending 2007-
08(Annex6).
19. Seed replacement rate: Seed replacement rate was same (after a gap of 1.08 years) for
K. Badshah and K. Pukhraj varieties. However, this rate was slow (after the gap of 1.5
years) in case of K. Lauvkar.
20. Seed rate: Overall 2.52 and 2.62 tonnes seed potato was used per ha during 2007-08 and
2008-09. Seed rate across varieties and farmer categories didn’t show wide fluctuation.
21. Retention of own seed: Only 21% respondents retained some seed potato from own
source.
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Recommendations Along with heat and drought tolerance the breeding team of the project should also pay
attention to early maturity and resistance to late blight/potato-tuber-moth in new potato
varieties. Better storability and processing attributes, if possible to incorporate in new potato
varieties, would provide additional utility to the targeted adopters of such varieties. Development
of cooperative tube-wells and facilitation of better agricultural extension services specially
targeted at the resource poor small and marginal potato farmers are sure to bring favourable
socio-economic impact in the study area.
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Assessing potato farmers’ perceptions on abiotic stresses and implications for crop improvement research in heat-prone Gujarat, India
1. INTRODUCTION
Potato is the world’s fourth most important food crop after rice, wheat and maize. In India potato
is largely consumed as vegetable. India is an important potato producing country in the world,
ranking fourth in area (after China, Russia and Ukraine) and third ranking in production (after
China and Russia) (Figures 1a and 1b). India has higher average potato productivity than China,
Russia and Ukraine.
Food security issues in Indian context have been thoroughly addressed at several fora (Acharya,
2009 and Chand, et al., 2007; to mention a few). Contribution of potato to the socio-economic
Figure 1a. Leading potato growing
countries (area)
Figure 1b. Leading potato
growing countries (production)
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condition of Indian people i.e. food security, employment generation and livelihood security has
been highlighted by Shekhawat and Naik, 1999.
Gujarat has emerged as the fastest growing potato state in India during recent years. During the
triennium ending 2000-01 and 2006-07, the area and production in Gujarat grew by 33% and
65.7% compared to all India growth of 8.5 and (-) 1.2%, respectively (Kesari and Rana, 2008). Over
the same period the share of Gujarat in national potato production rose from 3.01 to 5.04%. The
annual compound growth rates of area and production over a period of 1998-99 to 2006-07 were
computed equal to 4.5 and 7.9% for Gujarat against 1.31 and (-)0.5% for all India. The latest official
potato production data shows that Gujarat (1.210 million MT in 2006-07 and 1.796 million MT in
2007-08) has replaced Punjab (1.223 million MT in 2006-07 and 1.477 million MT in 2007-08) as
the third largest potato producing state in India after Uttar Pradesh and West Bengal (Annex 6).
Gujarat also has attained the highest potato productivity in all Indian states during 2004-05 to
2007-08.
Global warming has been perceived as one of the biggest threats to Indian agriculture in general
and potato in particular (Lal et al., 2008). Temperature was estimated to rise approximately by 1, 3
and 5 0C during main Indian potato growing winter season in year 2020, 2050 and 2080,
respectively. Potato production at national level was estimated to decline by 9.56 and 16.06% in
year 2020 and 2050, respectively, vis-à-vis the current production (Singh, et al., 2008). However,
the estimated respective reduction in potato production over 2020 and 2050 would be much
higher in states like Karnataka (19.6%; 44.9%) followed by Gujarat (18.2%; 31.8%); Maharashtra
(13.0%; 24.6%) and Madhya Pradesh (9.6%; 16.6%).
Almost all crops in the tropics and sub-tropics have been adversely affected by global warming
during the current decade. So there is an urgent need to develop varieties which can cope with
the impending rise in temperature. Potato is adversely affected by high temperature during tuber
initiation (Basu and Minhas, 1991) and tuber bulking (Minhas and Devendra, 2005) stages.
Developing heat tolerant potato varieties will not only enhance production but may also extend
its cultivation to non-traditional potato areas. Keeping these points in consideration a project
funded by GTZ “Enhanced Food and Income Security in SWCA through Potato Varieties with
Improved Tolerance to Abiotic Stress” was initiated in SWCA countries during 2008.
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2. OBJECTIVES OF THE SURVEY
A large number of agricultural technologies, including new varieties, are not adopted by the
farmers. Conducting a diagnostic survey to find what technology/ variety farmers need before it
is developed has been widely recommended by social scientists. To understand what attributes
farmers want in new potato varieties in Gandhinagar district of Gujarat was an important
component of this study. To study and fix baseline indicators for future impact assessment of this
crop improvement research project was another objective. This study tried to answer the
following questions.
1. What actions, according to farmers, can further increase potato yield and income on
their farms?
2. What is farmers’ perception on desirable and undesirable characters of existing potato
varieties grown by them?
3. Why farmers abandoned some potato varieties in the past?
4. To what extent potato growers consider abiotic stresses a limiting factor?
5. What priorities farmers elicit as desirable characters in the future potato varieties?
6. How to compare production systems and livelihood status of potato and non-potato
farmers?
7. How to identify and fix baseline indicators and standpoints for future impact assessment
of the project activities.
3. METHODOLOGY
Gandhinagar being one of the hottest potato growing districts of Gujarat was selected for this
study (Figure 2). Three villages of Gandhingar viz., Premnagar, Indirapura and Nandol were
selected for the study on the basis of a pilot survey1. These villages were representative potato
growing areas of the region. The final survey was conducted between February 10 and 18, 2009.
1 Pilot survey was conducted by Dr. MS Kadian, CIP-SWCA, New Delhi; Dr SK Pandey, Director CPRI, Shimla; and Dr NH
Patel, In-charge Potato Research Station, Deesa, Banaskantha, Gujarat.
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Figure 2. Map of the study area
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The respondents were selected from different rural backgrounds viz., non-farmers, non-potato
growers (farmers who have not grown potato continuously for last two years i.e. 2007-08 and
2008-09) and various categories of potato growers i.e. marginal (potato area <1ha), small (potato
area 1ha to <2ha), medium (potato area 2ha to <4ha) and large (potato area • 4ha). Details of
sample households are given in Table 1. The respondents were selected in such a way that all
categories were adequately represented. However, the overall estimates were derived using
population proportion in respective category as weight.
Detailed information about the village was obtained from Panchayat office (Village council). Out
of this information proportion of actual population across the categories was calculated. Overall
weighted averages (potato farmers as well as the area average) were calculated using population
proportion within categories as weights.
Interview schedule was specially designed to meet the requirements of survey. Before finalizing,
the questionnaire was circulated among multidisciplinary team of scientists involved in the
project. Copy of the questionnaire is appended as Annex 7. Data were collected using personal
interview techniques. In addition to personal interviews, focus group discussions were also
carried out in order to collect information related to village profile. Such information included
overall village level facilities and organizations having direct bearing on the socio-economic
condition of sampled farmers.
Table 1. Sampling details (No. of respondents)
Category of potato growers Villages
Marginal Small Medium Large All
Non- potato
Land less
All
Indirapuram 13 10 2 1 26 5 11 42
Nandol 2 2 9 14 27 1 5 33
Premnagar 3 5 5 1 14 0 4 18
All 18 17 16 16 67 6 20 93 Population (%) 11.47 16.22 7.99 3.47 39.15 6.15 54.70 100.0
Marginal = having potato area up to 1ha; small = having potato area more than 1ha and up to 2ha; medium = having potato area more than 2ha and up to 4ha; and large = having potato area more than 4 ha
For better understanding of some important attributes, indices were calculated. Detailed account
of assumptions and procedures employed for calculating these indices is given in Annex 1. In
order to test independence among potato farmers’ categories on various factors/ attributes, chi-
square test (Gupta, 2009) with following test statistics was used where O and E represent
observed and expected frequencies, respectively.
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E
EO 22 )(
4. RESULTS AND DISCUSSION
This section is discussed in two broad headings: diagnosis of farmers’ perception on variety
development; and baseline indicators for future impact assessment.
4.1. Diagnosis of farmers’ perception on variety development 4.1.1. Responses on yield enhancing attributes
Farmers’ opinions on whether potato yield on their farms can increase were analysed. Seventeen
factors, covering crop management and the enabling environment, which can contribute
towards increasing the yield along with factors’ respective importance in farmers’ mind were also
collected and analysed. These factors were selected based on the past survey experiences of
team members in same or similar conditions. All the respondents across all farmers’ categories
believe that yields of potato crop on their farms can further increase. Very high proportion of
farmers (98.5%) believes that high yielding new potato varieties can further increase their potato
yield (Table 2). Other closely perceived factor2 by the farmers was heat tolerant potato varieties
(95.5%) followed by proper late blight control (81.5%), water saving technologies (74.5%) and
drought tolerant varieties (69%). Importance index of these factors, ranging from 1 (low) to 5
(high) was the highest for heat tolerant varieties (3.87) followed by high yielding new potato
varieties (3.45), better agricultural extension services (3.24), proper late blight control (3.13) and
water saving technologies3.
Chi-square test indicated that farmers of different categories provided statistically different
weights for role of soil reclamation, fertilizer doses, low prices of inputs and better agricultural
extension services in increasing their potato yield at 1% level of significance. Marginal farmers put
2 Farmers’ elicited scores on importance of every attribute (ranging from 1 to 5) were taken. The average of all responses on a particular attribute is referred to the importance index. “No responses” were not considered. 3 Drip irrigation and sprinkler irrigation were the two important water saving technologies available with the farmers of
study area. Reportedly drip irrigation saves up to 70% water and sprinkler irrigation saves up to 50% water as compared to the conventional furrow application. Sprinkler irrigation was found to initiate and aggravate late blight infection in potato crop. Hence, drip irrigation was the best water saving technology available with the studied farmers. In addition to water saving this irrigation technology was responsible for checking late blight infection and better efficiency of nutrients through fertigation. Gujarat government is providing 50% subsidy (with the cap of INR 50000 per ha) on water saving technologies. During previous few years farmers have adopted these water saving technologies very fast making them quite popular in the state.
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higher stress on having drought tolerant potato varieties and need of better agricultural
extension services. It was observed that marginal farmers didn’t have assured source of irrigation
and progressive farmers (who are generally targeted by extension agencies) were not passing on
technical information to the marginal farmers.
Table 2. Farmers’ perception on potato yield enhancing attributes
Potato growers Responses
Marginal Small Medium Large All % MR Im In % MR Im In % MR Im In % MR Im In % MR Im In Yield can further increase.
100.00 n/a 100.00 n/a 100.00 n/a 100.00 n/a 100.00 n/a
Sufficient irrigation water
50.00 2.31 62.50 2.92 68.75 2.92 62.50 2.33 60.61 2.62
Soil reclamation*** 27.78 1.75 6.67 1.00 40.00 1.67 21.43 1.83 24.19 1.65 High Yielding Potato varieties
100.00 3.12 100.00 3.75 93.75 3.56 100.00 3.38 98.51 3.45
Water saving technology
83.33 2.67 76.47 2.92 62.50 2.79 75.00 3.00 74.63 2.84
Drought resistant varieties**
81.25 2.69 58.82 2.69 56.25 2.69 81.25 3.13 69.23 2.81
Heat tolerant varieties 94.44 3.53 100.00 3.81 93.75 4.00 93.33 4.13 95.45 3.87
High dose of fertilizer***
44.44 2.42 40.00 2.67 66.67 3.09 26.67 1.67 44.44 2.55
Proper weed control* 29.41 1.78 53.33 2.60 46.67 2.56 40.00 1.56 49.53 2.14
Insect pest control** 47.06 1.85 68.75 2.31 80.00 2.75 68.75 2.46 67.19 2.33
Proper Late Blight management
88.89 2.94 75.00 3.33 68.75 2.79 93.33 3.54 81.54 3.13
Management of other diseases*
43.75 1.75 53.33 2.00 43.67 1.50 66.67 2.00 52.46 1.83
Adequate availability of pesticides
50.00 2.08 43.75 2.56 56.25 2.18 37.50 2.33 46.97 2.27
Adequate availability of fertilizers
50.00 2.45 53.33 2.11 53.33 2.00 43.75 2.36 50.00 2.25
Adequate availability of funds
55.56 3.18 60.00 2.89 75.00 2.78 56.35 2.40 61.54 2.82
Availability of cheaper machinery*
47.06 2.88 53.33 2.38 66.67 3.11 42.86 2.43 52.46 2.72
Low input prices*** 72.22 2.92 66.67 2.70 80.00 2.90 40.00 2.22 65.08 2.71 Better Agril Extension Services***
94.12 3.31 23.53 2.91 31.25 3.45 85.71 3.25 57.81 3.24
% MR = Percent multiple responses; Im In = Farmers’ perceived Importance index (range 1 to 5); Chi-square test indicated statistically different response levels among farm categories at * = 10%; ** = 5%; and *** = 1% level of significance. Chi square test was applied on actual number of multiple responses and is applicable for %MR.
4.1.2. Desirable and undesirable varietal characters
Desirable and undesirable characters of existing potato varieties were described by the
participants. For this part of the study respondents were asked open-ended questions. They were
asked to name three most important good and bad characters of existing potato varieties. High
yield, early maturity, desirable (big and uniform) tuber size, good storability, higher price of the
output and suitability for processing were important desirable characters the farmers were
looking for (Table 3). Low yield, susceptibility to heat and late blight, late maturity, bad storability
and low price of the output were important undesirable characters in farmers’ mind. Bad
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storability in the preceding sentence refers to higher storage losses (at ambient temperature as
well as during cold storage) of potato varieties.
Table 3. Responses on desirable and undesirable qualities of different varieties (%).
Particulars Variety
K. Badshah K. Pukhraj K. Lauvkar
Good qualities
Yield 47.5 72.7
Early maturing -- 63.6 50.0
Desirable tuber size 32.8 -- --
Good storability 52.5 -- 75.0
High price 47.5 -- 50.0
Good for processing -- -- 50.0
Bad qualities
Low yield -- -- 50.0
Susceptible to heat 43.2 23.1
Late blight susceptible -- 23.1 25.0
Late maturing 24.3 -- --
Bad storability -- 46.2 --
Low price -- 30.8 --
K. = Kufri (All potato varieties released by CPRI, Shimla are named in two words and the first one is Kufri as Kufri was the first potato breeding station in India)
4.1.3. Reasons for abandoning varieties
Four varieties were reported abandoned4 by all (Kufri Chandramukhi) or some of the respondents
(K. Jyoti, K. Luvkar and K. Pukhraj) (Table 4). Low yield as a reason for abandoning K.
Chandramukhi and K. Lauvkar was reported by all the concerned respondents. Late blight
susceptibility was another reason for abandoning K. Chandramukhi by two third of the
respondents. Low yield, problem of tuber cracking during bulking stage and longer duration of
maturity were important reasons reported by responding farmers for abandoning K. Jyoti.
Cultivation of K. Pukhraj which is still an important potato variety in the study area was stopped
by some growers. The main reasons for abandoning this variety were low price of the product
followed by its heat susceptibility and poor storability. Tubers of this variety fetch lower prices on
account of early (pre mature) harvesting and lower dry matter.
4 Potato varieties which farmers used to plant more than five years ago but have not planted within five years due to some negative perception were considered abandoned.
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Table 4. Reasons for varietal abandonment (multiple responses).
Variety/ reason % of responses
Kufri Chandramukhi
Low yield 100.0
Late blight susceptible 66.7
Kufri Jyoti
Long duration 33.3
Cracking 66.7
Low yield 66.7
Kufri Lauvkar
Low yield 100.0
Expensive seed 33.3
Kufri Pukhraj
Low prices 66.7
Heat susceptible 50.0
Poor storability 50.0
Note: Due to less number of responses in respect to various farm categories, the category wise analysis was not carried out
4.1.4. Responses on heat and drought stress
Heat and drought are very important abiotic stress factors for the potato crop in the study area.
Night temperature should be less than 180C for proper tuber initiation and bulking (Basu and
Minhas, 1991). With exposure to higher temperature, potato plants show increased vegetative
growth without converting carbohydrates into tubers (Minhas and Devendra, 2005). Plants
become tall and lanky. Drought on the other hand is responsible for general disturbance in plant
health. Plant becomes weak and more susceptible to other biotic and abiotic stresses.
Respondents were interviewed to express their opinions on drought and heat stresses. Ninety
percent of respondents believed that heat was a limiting factor towards achieving higher yield
levels (Table 5). A lower proportion (31.5%) of respondents pointed out drought as abiotic stress
to the potato crop. However, higher proportion of small and marginal farmers regarded drought
as a potential threat to their potato crop. Since ground water level was very deep in the study
area, the cost of digging tube wells was very high. Small and medium farmers on account of
paucity of funds along with small and fragmented landholdings were at disadvantage to have
personal source of assured irrigation. They depend increasingly on larger farmers for irrigation
water, which they get at comparatively higher per hour charges. Large farmers may or may not
provide them irrigation water at the right time due to their own needs.
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Table 5. Relative importance of abiotic stresses (% of responses).
Category of potato growers Type of stress
Marginal Small Medium Large All
Drought 33.33 47.06 18.75 25.00 31.34
Heat 88.89 82.24 100.00 100.00 94.03
4.1.5. Priorities for breeding future varieties
Finally, the respondent farmers were asked to express their four most important priorities of the
attributes they want in new potato varieties to be developed under the GTZ project. Top ten
attributes were selected as per the indices (ranging from a low of 0 to the high of 100) of
responses (Annex 1 and 2). Production constraints under existing situation had strong influence
on the future potato breeding priorities in the study area.
Relative importance of these attributes (in percentage) was also calculated. Year 2008-09 being
very hot, farmers perceived5 losses on account of low potato yields. The responding farmers
showed heat tolerance in potato varieties their first priority (index = 92 and relative importance =
22.43%) (Figures 3 and 4). High yield was the second most important attribute. High potato yield
scored relatively low on the rating scale of large farmers as they are more concerned with quality
attributes than just the higher yield. Large farmers which are generally the trend setter, had less
focus on higher yield vis-a-vis the other attributes such as resistance to late blight followed by
processing grade varieties, resistance to potato tuber moth and early maturing potato varieties.
Overall, resistance to late blight and potato tuber moth were respectively the third and fourth
most important attributes on farmers’ preference list. Chi-square statistics showed that
respondents among farm categories had different levels of preferences for high yield, resistance
to late blight and potato-tuber-moth, suitability for processing, early maturity and shining skin at
1% level of significance.
5 The phenomenon of high temperature during 2008-09 potato crop season was wide spread and lower potato yields were reported from other parts of Gujarat (entire state -35%), Madhya Pradesh (-30%), Chattisgarh (-25%), West Bengal (-42%) and Bihar (-25%) states (CPRI, 2009). Potato prices rose sharply in beginning of March 2009. Farmers who sold initially are likely to incur losses. However, those who could hold their produce are likely to get higher net income as compared to 2007-08 despite of nearly 35% lower average estimated potato yield during this year.
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4.1.6. Early maturing potato varieties
Early maturing potato varieties are very important for farmers in Gujarat state in general and
Gandhinagar district in particular. This importance stems from the fact that farmers in this state
seriously try to take an additional crop after potato. Besides, they also try to escape heat and
potato tuber moth damage during February and March. However, eighth priority for early
maturing attribute (Figure 3) in future potato varieties, due to relatively lower priority index and
relative importance, was lower than the general expectation of the survey team. It was due to the
Figure 3. Priority index (0-100) of
various varietal attributes
Figure 4. Percent relative
importance of top preferred five
attributes.
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fact that studied farmers already have very good early maturing and high yielding potato variety
in the form of Kufri Pukhraj. However, the shortcomings of this variety viz., low dry matter, poor
storability and susceptibility to late blight have been reflected in other attributes such as
resistance to late blight, suitability for processing and good storability in addition to the early
maturity. Hence, early maturity as an attribute along with better dry matter, storability and late
blight resistance in the new potato varieties, should be considered at higher priority level than
the one listed in the table. Marginal farmers confer higher than the overall importance to good
storability attribute in new potato varieties6.
4.1.7. Processing varieties
Responses of farmers may have been guided by their personal needs and experiences
undermining attributes of wider interest. India in general and Gujarat in particular have shown
tremendous growth in potato processing sector (Rana and Pandey, 2007). Raw material
(processing grade tubers) demand of potato processing industry in India was estimated 2.678
million MT during 2010-11 (Rana and Pandey, 2007). This demand constitutes 10.76% of Indian
average potato production during TE 2007-08 (DES, 2010). Although, specific estimates for
Gujarat state are not available yet the study by Rana and Pandey (2007) clearly indicates that the
proportionate demand of processing grade tubers in this state is much higher than the national
one. Varietal attribute suggesting suitability of potato variety for processing has got seventh
highest ranking with a priority index of 29.69 (Figure 3). Breeders should assign higher
importance to this attribute too.
4.2. Baseline indicators for future impact assessment Education level of head of the household, occupational pattern, proportion of female heads of
households and labour participation level of average respondent are some of the important
indicators that shall be used as indicators for future comparisons (Annex 3).
4.2.1. Educational qualification
Educational qualification of a person is very important indicator for assessing his/ her
responsiveness to external stimuli in addition to taking right decisions. In case of farmers these
stimuli can be new technologies, new government schemes and new inputs etc. Level of
6 Marginal farmers usually have low volume of produce and are more likely to be exploited in the process of marketing. They have the tendency of avoiding marketing risk and try to sell at the farm itself. However, it is general experience that potato prices are low during harvesting season and prices rise after the produce is cold stored. Marginal farmers tend to avoid paying cold storage charges and mostly opt for storing their produce using conventional methods. Hence better storability as an attribute in new potato varieties is likely to be more beneficial to the poor potato farmers having small land holdings.
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education of average household head in non-potato growers was slightly lower than the potato
growing farmers (Figure 5). However this gap was much wider in case of farmers and non-
farmers.
4.2.2. Primary occupation
Primary occupation of a person not only reflects his/ her seriousness and commitment in that
particular occupation but also conveys important indication about his/ her socio-economic
condition7. Proportion of potato growers having farming as their primary occupation was slightly
higher than the non-potato growers (Annex 3). But, more or less equal proportion of non-farmers
was finding primary occupation in labour. Since the proportion of non-farmers in the study area
was very high hence about 44% of the household heads were resorting to labour as their primary
occupation. Nearly half of the household head were having farming as their primary occupation
in this area which is primarily agriculture based.
4.2.3. Gender ratio of head of households
Gender ratio of household heads indicates pattern of involvement of a particular sex in
agricultural decision making. Farming is male dominated profession in the study area (Annex 3).
All heads of surveyed farming households were males. Even in case of death or non-availability of
head of household the agriculture related decisions are taken by another male member of the
family. However, 5% of the head of non-farming households were females.
7 Agriculture in the study area is done on small landholdings that generate inadequate returns to lead a much comfortable life. People are tempted to supplement family income through jobs, labour work and running petty businesses/services. Primary occupation indicates the quantum of time invested in a particular source of earning.
Figure 5. Education index (1-5) of
head of the family.
NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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4.2.4. Labour participation
Labour participation shows actual involvement of a person on his/ her own farms. Labour
participation of non-potato growers was marginally higher than that of potato growers
(Figure 6). It was due to the reason that potato growers were wealthier and many of them don’t
personally work on their farms. Overall 35% of heads of households in the area used to personally
work on their farms.
Very high proportion of the respondents was not having any secondary occupation, hence,
analysis and discussion of secondary occupation may not provide conclusive and meaningful
inferences.
4.2.5. Net annual family income
Family income from all sources (Table 8) confirms that potato growers constitute the richest
section of households in the study area8. Category wise net family income in US$ has been
depicted in Figure 8.
Crops and animal husbandry were the two main components of agriculture in the study area.
Within animal husbandry dairy was the sole source of income9. It is worth mentioning that very
high proportion of Gujaraties (people not only living in Gujarat but also adopting local traditions
and values) is vegetarian. No responding farmer sold animals for meat purpose. Net income from
8 It is the net agricultural income (after subtracting all paid out input costs and interest costs). However; salaries/wages=gross; business=net of expenses and costs were considered. Disposable income term was not used as savings were not subtracted. 9 In all cases potato was a cash crop. Due to very high temperatures following crop harvest farmers were not retaining more than 2 months’ potato consumption equivalent for home consumption. Home consumption of potato varied between nearly 50 kg to 200 kg per year per family. This quantity was valued at market rate. No other significant non-monetary income was perceived in the area.
Figure 6. Labour participation across farm categories (5%)
NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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crops (including potato) and dairy constituted agricultural income. Salaries or remittances and
other non-farm income were other sources of respondents’ income. Average annual net family
income of potato growers was 2.55 times higher than the non-potato growers (Annex 4).
Average annual potato income showed tremendous increase with the increase in potato holding
(marginal to large potato farmers) (Figure 7). Gap in annual net family income between farmers
and non-farmers was again very wide.
4.2.6. Per capita income
Per capita income is one of the most reliable indicators of economic well being of a family. The
per capita income across various categories of respondents in US$ (Figure 9) present similar
scenario as depicted by net family income. Even the marginal potato farmers (most
disadvantaged among potato farmers) were having per capita income higher than the non-
potato growers. However, non-farmers were the poorest category of respondents in the study
area.
Figure 7. Annual Potato Income (US$).
Figure 8. Net annual family income
of respondents (US$)
US$ = 48 INR
US$ = 48 INR NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growersNP NC AR
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4.2.7. Proportion of potato income
Proportion of potato income in the overall agricultural income of potato farmers was nearly 36%
(Figure 10) while it occupies only 25% of the annual cropping time. In the study area farmers
invariably keep their land continuously under cultivation for the entire year. Potato contributed
nearly 28% of the net family income (from all sources). Potato is a capital intensive and high risk
crop (Annex 4). Large farmers are in better position to manage risk and cultivate potato on
higher proportion of their cultivated land. They have better control and more efficient use of
indivisible fixed costs associated with this crop.
4.2.8. Dairy animals
Gujarat is world famous for its dairy cooperatives. All milk produced (irrespective of quantity) is
purchased by these cooperatives at the farm gate. These cooperatives do provide technical and
inputs support to their members. Number of lactating animals on a farm is an important indicator
of financial health of the farm family. Dairy not only provides additional income to the farmers
but also cushions against crop failures. Number of lactating animals on the farms of potato
growers showed less variation across the categories (Table 6). However, non-potato growers and
non-farmers had much less number of lactating animals as compared to the potato farmers.
Figure 9. Per capita annual income (US$)
Figure 10. Percent contribution of potato.
US$ = 48 INR NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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Table 6. Average inventory of lactating animals (No.)
Category
Potato growers
Particulars
Marginal Small Medium Large All Non- potato growers
Non- cultivators
Overall
Cattle 5.28 5.00 4.81 3.07 4.87 1.83 1.00 2.57
Buffaloes 2.33 2.76 2.13 3.38 2.56 1.17 1.45 1.87
Total 7.61 7.76 6.99 6.44 7.43 3.00 2.45 4.43
4.2.9. Household assets
Household assets are another indicator of economic wellbeing. Various other factors indicating
socio-economic condition of respondents were also benchmarked. Out of four household assets
viz. motorcycle (personal use), car (personal use), pick-up or utility vehicle (business purpose) and
cycle (personal use); potato growers had more assets for personal use (Annex 5). However, non-
potato growers and non-farmers had pick-up vehicles for commercial use.
4.2.10. House condition
House condition index showed less signs of poverty among potato farmers (Figure 11). The
house condition of even the marginal potato farmers was very near to the highest category (INR
0.5 million house = score 5) considered during the survey. However, house condition of non-
potato growers was much below as compared to the potato growers. The house condition of
non-farmers was even worse vis-à-vis the non-potato growers. In the study area as well as other
parts of the country potato farmers constitute the better-of segment of the farming community.
As potato is a capital demanding, high risk and high returns crop, it is generally the well-off
farmers who opt for potato farming on a sustainable basis. It was found that farmers who
continue potato cultivation for many years are able to improve their standard of living higher
than non-potato farmers (Rana and Khurana, 2003).
Figure 11. House condition
index (1-5).
NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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4.2.11. Nutritional security
Regularity and balanced food (inclusion of diverse and nutritive food items) were considered as
indication of nutritional security of respondents10. Nutritional security is a very important well-
being indicator and this index was particularly low in case of non-farmers (Figure 12). Non-
farmers are generally landless labourers and need higher attention of development agencies.
Landless labourers particularly the migrant ones resort to consuming same type of food for
months together without proper supplementation with milk products or eggs etc. Use of tin
containers for the storage of food grains (protects quality and quantity by checking spoilage by
moisture and insects) was also guided by family income (Annex 5).
4.2.12. Water and electricity connections
Individual water and electricity connections were also expected to be largely affected by annual
family income (Annex 5). Non-farmers were once again the disadvantaged segment.
4.2.13. Toilets
Large potato growers had high number of temporary toilets, which were primarily made for their
servants and permanent labourers (Annex 5). Nearly one third of the respondents among non-
potato growers and three fourth among non-farmers were going to open fields/ places to answer
the call of nature. This is an important area where developmental agencies need to act.
10 Investigators were asked to use their judgement based on the some parameters such as inclusion of protein sources (pulses-daily or on alternate days, one egg per person-daily or alternate days if pulses are deficit in food and meat-at least once in a week of pulses/egg are deficit); minerals and vitamins (fruits or vegetables-on alternate days); diversification of cereals/carbohydrates-change from the routine at least twice a week. The exercise aimed at providing just an indicator for future comparison in the same area. It may or may not be possible to replicate in other places.
Figure 12. Nutritional security across farm categories (%).
NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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4.2.14. Social participation
Social participation is an indicator of respondents’ likely exposure to new knowledge and
improved decision making. Membership of social organisation such as Mahila Mandals (women
welfare groups), various self-help groups, farmers’ clubs, cooperative societies etc. was
considered to measure social participation. In this regard tremendous difference was observed
between potato farmers and non-potato farmers indicating that potato farmers in the study are
socially more united and active (Figure 13). The social participation level of non-farmers was
negligible.
4.2.15. Migration
Migration was studied in relation to work as unskilled labourer only. About 10% of the non-farmer
respondents families reported migration from other areas (Annex 5). Most of the migrant labour
was coming from poor districts of Gujarat such as Panchmahal and Banaskantha; and other states
like Rajasthan (border areas of Rajasthan adjoining Gujarat).
4.2.16. Other indicators
Other indicators like type of children’s school, monthly expenditure of all types (food, children
education, travel and bills) were in line with the expectation in relation to net annual family
income (Annex 5). Other facilities available on respondents’ house such as cooking gas,
television, direct to home television, landline telephone connection, mobile telephone, internet
facility and water purifiers were again on expected lines. However, average number of members
capable of using email in case of non-farmers was higher as compared to non-potato cultivators
and all categories of potato farmers except the large farmers. Invariably, the non-farmer family
members using email were undertaking petty jobs (mostly data-feeding) in financial or
information technology related agencies. They all were using email at their work places without
email facilities at homes.
Figure 13. Social participation
level (%). NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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4.2.17. Expenditure pattern
Average monthly expenditure of different respondent categories was computed on various
expenditure items such as food, children education, travel, bill etc (Annex 5). For better and easy
international comparison monthly food and total expenditure were graphically depicted in terms
of US$ (Figure 14).
4.2.18. Food expenditure to net income ratio
As per Engel’s Law11 the proportion of income spent on food goes on decreasing as the income
increases (Schumpeter, 1954). Among respondent categories potato farmers were having lowest
food expenditure to total family income ratio (Figure 15). Hence, results (seen along with net
family income (Figure 8) are conclusive and as per Engel’s Law.
11 Ernst Engel, a nineteenth century German statistician came out with the findings that proportion of income spent on food goes on decreasing as the income increases. The concept got popular as Engel’s law. Engel’s curve is a widely accepted tool to measure/ compare poverty.
Figure 14. Monthly food and total expenditure (US$)
Figure 15. Ratio of food expenditure and net income (Engel’s curve).
NP= Non potato growers NC= Non cultivators AR= All respondents US$ = 48 INR
Potato growers
NP= Non potato growers NC= Non cultivators AR= All respondents
Potato growers
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4.2.19. Farm assets
Inventory of farm assets reflects investment levels in agriculture that ensure operational
certainties. The average number of important farm assets such as tractor, potato planter, potato
digger, tractor-trolley and plough were as per expectation (Table 7).
Table 7. Average inventory of farm assets (Number per farm).
Category
Potato growers
Particulars
Marginal Small Medium Large All
Non- potato growers
Overall
Tractor 0.111 0.412 0.560 1.000 0.412 0.000 0.159
Potato planter
0.000 0.112 0.375 0.938 0.225 0.000 0.082
Potato digger 0.056 0.118 0.125 0.938 0.175 0.000 0.068
Tractor trolley 0.111 0.353 0.500 0.938 0.369 0.000 0.142
Plough 0.889 0.941 1.375 1.938 1.103 0.833 0.483
4.2.20. Land use pattern
Land use pattern is an important baseline indicator that can be compared over the time in order
to analyse the changes in land ownership and use. On average potato farmers were using 63% of
cultivated land for potato (Table 8). Proportion of potato area increased from 50% on small to
77% on large potato farms. How this proportion changes overtime (even within farm categories)
will give important information for the researchers. Potato was cultivated on the highest
proportion of land vis-a-vis all other crops grown on the farms of sampled households (Table 9).
Cotton (26% of cultivated land) followed by wheat (14%), fodder (11%) and groundnut (10%)
were the other important crops on the farms of respondent farmers.
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Table 8. Land use pattern of sampled households (Land in ha).
Category
Potato growers
Particulars
Marginal Small Medium Large All
Non- potato growers
Non- cultivators
Overall
Cultivated land (owned)
1.564 2.320 3.356 8.352 2.844 0.808 0.040 1.184
Irrigated 1.564 2.260 3.336 8.352 2.816 0.808 0.040 1.172
Rain fed 0.000 0.060 0.020 0.000 0.028 0.000 0.000 0.012
Cultivated land (rented in)
0.096 0.116 0,276 2.200 0.328 0.000 0.000 0.128
Cultivated land (rented out)
0.000 0.000 0.000 0.000 0.008 0.000 0.040 0.020
Self cultivated land 1.660 2.436 3.632 10.552 3.172 0.808 0.000 1.292
Irrigated 1.660 2.376 3.612 10.552 3.144 0.808 0.000 1.280
Rain fed 0.000 0.060 0.020 0.000 0.028 0.000 0.000 0.012
Potato land 0.844 1.320 2.400 8.176 2.008 0.000 0.000 0.788
Uncultivated land 0.012 0.000 0.000 0.000 0.004 0.068 0.000 0.004
Total land holding 1.672 2.436 3.632 10.552 3.176 0.876 0.000 1.296
Note: 1. Rain fed land was not leased-in or leased out. 2. Potato was not cultivated under rain fed conditions in the study area.
Table 9. Average area under different crops (ha).
Category of potato growers Particulars
Marginal Small Medium Large All
Non- potato growers
Overall
Maize 0.000 0.000 0.000 0.875 0.078 0.000 0.030
Cotton 0.510 0.600 0.875 3.137 0.855 0.080 0.340
Wheat 0.379 0.378 0.450 0.562 0.409 0.320 0.180
Groundnut 0.267 0.070 0.088 2.488 0.346 0.000 0.135
Vegetables 0.033 0.014 0.112 0.172 0.052 0.000 0.021
Castor 0.000 0.021 0.088 0.200 0.044 0.000 0.017
Fodder 0.246 0.476 0.228 0.406 0.352 0.113 0.145
Mustard 0.022 0.000 0.008 0.050 0.011 0.000 0.004
Others 0.202 0.110 0.412 0.725 0.254 0.107 0.106
Potato 0.844 1.320 2.400 8.176 2.008 0.000 0.788
4.2.21. Soil health awareness
Gujarat farmers pay very high attention to the soil health on their farmland by incorporating high
doses of dung manure and opting for frequent green manuring. Incorporation of higher dung
manure doses in Gujarat compared to other Indian states was possible due to well developed
dairy industry in the state. Other indicators of soil health were also studied. More or less equal
number of potato and non-potato respondent farmers undertook testing of their soils (Table 10).
Only 71% potato farmers took action as per the recommendation of soil testing report. The
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average soil pH of the respondent farmers was 7.35 (based on soil testing reports). Since
incorporation of dung manure to the soil and green manuring are very common practices in the
area, about 94% respondents were adopting carbon sequestration measures. About 68%
sampled potato farmers and 20% non-potato farmers were applying green manure to their
farmland. Due to higher uptake of nutrients from soil by potato crop, potato growers were
particularly concerned to maintain soil fertility and health status. Very large proportion of farmers’
perceived that their soil texture and/ or structure have not changed over 10 years. However, still a
considerable proportion of respondents believed that soil condition has deteriorated. On an
average potato growers put 0.40 ha under green manuring while this area was just 0.08 ha in case
of non-potato growers. Potato farmers were adopting green manuring to greater extent in order
to maintain or enhance productivity of land as potato is relatively a capital intensive, high risk,
high reward crop. Potato crop extracts higher soil nutrients compared to other crops grown by
the farmers in the study area.
Table 10. Soil health awareness indicators
Category of potato growers Particulars
Marginal Small Medium Large All
Non- potato growers
Soil testing index (0-1) 0.222 0.313 0.313 0.688 0.319 0.333
Action on test report (0-1) 1 0.333 1 0.875 0.713 1
Soil pH 7.5 -- 7.25 7.38 7.35 --
Carbon sequestration measures (0-1)
1.000 0.875 1.000 0.889 0.938 1.000
Green manuring done (0-1) 0.615 0.800 0.667 0.385 0.682 0.200
Soil change (No. farmers)
Better 0 0 0 1 1 0
Same 5 6 10 7 28 3
Worse 1 1 0 3 5 1
Don’t Know 1 0 0 2 3 1
Average green manuring area (ha)
0.40 0.24 0.64 0.59 0.40 0.08
Soil testing charges were nil for all respondents who got their soils tested. The main reason for testing was tube well installation
4.2.22. Irrigation status
Except for large potato growers, furrow irrigation was the only method of irrigation with
respondent farmers (Table 11). About 17% of responding potato farmers believe their irrigation
water was bad. High fluoride and salt level were the major reasons for bad quality of irrigation
water. Purchasing irrigation water, by those who don’t have their own tube wells, was a common
practice in the area and average price paid for one hour irrigation water was nearly INR 90. Since
water table is very low, many farmers reported scarcity of irrigation water particularly in summer
months.
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Table 11. Irrigation status and quality of irrigation water
Category of potato growers Particulars
Marginal Small Medium Large All
Non- potato growers
Overall
Type of irrigation (%) Furrow 100.000 100.00 100.00 74.375 97.729 100.000 99.11 Drip 0 0 0 25.625 2.271 0 1.96 Quality of irrigation water (No. of responses)
Good 15 13 13 12 53 6 59 Bad 2 3 3 4 12 0 12 Very Bad 1 0 0 0 1 0 1 Water availability (No. of responses) Adequate 16 12 12 14 54 2 56 Less 2 4 4 2 12 2 14 Scarce 0 0 0 0 0 1 1 Problem of irrigation water (No. of responses)
Low water table 1 2 2 2 7 1 8 Fluoride level 1 2 1 4 0 4 Saline 1 1 0 2 4 0 4 Sale/Purchase of water (No. of responses)
Yes 12 11 6 1 30 5 35 No 5 5 10 15 35 1 36 Price of water (Rs/hr) 99.167 90.909 73.000 100 90.479 100.00 91.77 All respondents eliciting bad irrigation water, stated salty water as the reason for bad quality water
4.2.23. Adoption rate
Area covered by particular potato variety shows its adoption rate in the area. Kufri Badshah was
the leading potato variety in the area followed by K. Pukhraj and K. Luavkar (Table 12). Based on
the two year average i.e. 2007-08 and 2008-09 K. Badshah covered nearly 64% potato area in the
study area followed by K. Pukhraj (33%) and K. Lauvkar (3%).
Table 12. Area under different potato varieties (Ha per farm)
Category of potato growers Particulars
Marginal Small Medium Large All Kufri Badshah
2007-08 0.527 1.050 1.988 4.225 1.369
2008-09 0.796 1.106 1.638 2.925 1.285
Kufri Lauvkar
2007-08 0.000 0.000 0.000 0.853 0.076
2008-09 0.000 0.000 0.000 0.493 0.044
Kufri Pukhraj
2007-08 0.065 0.205 0.773 4.627 0.672
2008-09 0.055 0.188 0.680 5.067 0.682
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4.2.24. Variety wise potato yield
Potato yield is an important indicator of the overall effect of potato research and development
activities in an area. Overall the potato yield was 28 tonnes per hectare (Table 13). Average yield
of different potato varieties across the farm categories did not vary considerably. Average potato
yield on sampled farms may seem to be higher than the national average of 16.76 tonnes per
hectare during triennium ending 2007-08; but it is quite close to the state average of 26.65
tonnes during same triennium (DES, 2010). Gujarat has the highest reported potato yield among
major potato producing states in India (Kesari and Rana, 2008).
Table 13. Variety wise potato yield during 2007-08(tonne/ha)
Potato growers Particulars
Marginal Small Medium Large All
Kufri Badshah 22.35 27.50 29.22 28.45 26.86
Kufri Lauvkar -- -- -- 28.44 28.44
Kufri Pukhraj 22.73 27.01 29.48 27.72 27.35
Total 22.40 27.43 29.27 28.09 27.86
4.2.25. Seed replacement rate
Seed replacement rate in potato crop is an important indicator of crop health and farmers’
attitude towards farm business. Seed replacement rate was same for K. Badshah and K. Pukhraj
varieties. However, this rate was slow (after the interval of 1.5 years) in case of K. Lauvkar
(Table 14).
Table 14. Seed replacement rate of different potato varieties (interval in years)
Potato growers Particulars Marginal Small Medium Large All
Kufri Badshah 1.07 1.00 1.15 1.36 1.08
Kufri Lauvkar -- -- -- 1.50 1.50
Kufri Pukhraj 1.00 1.00 1.25 1.30 1.08
4.2.26. Seed source
Quality of seed potato depends on the source of seed to a very large extent. The highest
proportion of seed potato in the study area was supplied by the cooperative societies after
obtaining it from reputed seed potato growers in Punjab (Table 15). Other important sources of
seed were seed companies, market traders (again supplying seed from Punjab and western Uttar
Pradesh). Very small quantities of seed were retained out of own farms or obtained from other
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local farmers. Small and medium farmers had higher dependence on cooperative societies for
getting quality seed-potato while medium and large farmers purchased more seed from private
seed companies than the cooperative societies.
Table 15. Source of seed-potato used at respondents’ farms (%)
Category of potato growers Particulars
Marginal Small Medium Large All 2007-08 Own 5.00 0.00 0.00 14.81 5.62
Neighbour 0.00 0.00 4.55 0.00 1.12
Market trader 30.00 10.00 4.55 22.22 16.85
Commercial seed grower 10.00 0.00 9.09 3.70 5.62
Cooperative societies 55.00 75.00 36.36 22.22 44.94
Seed Companies 0.00 15.00 45.45 33.33 24.72
Direct from Punjab 0.00 0.00 0.00 3.70 1.12
2008-09 Own 0.00 0.00 5.56 12.50 5.62
Neighbour 0.00 0.00 5.56 3.13 2.25
Market trader 33.33 5.56 5.56 21.88 17.98
Commercial seed grower 0.00 0.00 11.11 12.5 6.74
Cooperative societies 61.90 77.78 33.33 15.62 42.70
Seed Companies 4.76 16.67 38.88 31.25 23.60
Direct from Punjab 0.00 0.00 0.00 3.13 1.12
4.2.27. Seed rate
Seed rate is an important factor that has bearing on the overall potato yield of a farm. This vital
information can be compared in the future to study the change of cultural practices among
sampled farms. Overall nearly 1 ton of seed potato was used per ha (Table 16). Seed rate was
generally found to be lower among margined and small farmers.
Table 16. Variety wise seed rate (ton/ha)
Potato growers Particulars
Marginal Small Medium Large All
Kufri Badshah
2007-08 2.23 2.19 2.51 2.66 2.31
2008-09 2.36 2.18 2.52 2.71 2.35
Kufri Lauvkar
2007-08 - - - 2.75 2.75
2008-09 - - - 2.70 2.70
Kufri Pukhraj
2007-08 1.83 2.71 3.1 2.58 2.52
2008-09 1.99 2.97 2.99 2.68 2.66
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4.2.28. Seed size
Very high proportion of farmers used medium sized seed potato followed by those who used
small sized and then who used the large size seed (Table 17). Medium sized (egg size) is
considered the best however due to price and availability issues farmers use different sizes of
tubers as seed. Very small proportion of farmers used biotechnologically produced virus-free
seed of very small size. Biotechnologically produced seed refers to healthy seed produced under
controlled environment in biotechnology laboratories (for initial production and multiplication
stages) and net/ glass houses for later stages.
Table 17. Size of seed-potato used by respondents (% of responses)
Particulars Category of potato growers
Marginal Small Medium Large All Total (2007-08)
Small 42.11 36.84 13.63 7.14 22.73
Medium 47.37 42.12 77.27 92.86 68.18
Large 10.52 10.52 9.09 0.00 6.82
Other 0.00 10.52 0.00 0.00 2.27
Total (2008-09)
Small 55.56 35.29 15.00 33.33 34.25
Medium 38.89 52.95 80.00 66.67 60.27
Large 5.50 5.88 5.00 0.00 4.11
Other 0.00 5.88 0.00 0.00 1.37
4.2.29. Cut/whole seed use
Use of cut seed is very common in places where seed-potato is costly and the produce is not
retained for next year’s seed requirement12. However, for producing healthy seed-potato, use of
whole tuber is one of the important requirements. Cut seed economizes on seed cost without
affecting productivity if it is free from infections. On an average cut seed use was nearly 50%
greater than the whole seed (Table 18). Generally the large sized seed potato tubers are cut into
3-5 pieces while smaller ones are used whole.
12 This is a commonly known information as cut seed is more likely to spread diseases in the upcoming crop.
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Table 18. Category-wise cut/whole seed-potato utilization pattern (% of responses)
4.2.30. Retention of own seed
Generally seed contributes more than half of the variable cost of potato cultivation and own seed
provides big financial relief to potato farmers. Only 21% respondents retained some seed potato
from own crop (Table 19). Seed plot technique (a scientific seed-potato production technique
invented by CPRI) was the most commonly used method of producing own seed followed by
separate plot (without adopting the recommended practices) for producing seed, selecting best
looking plants and selecting small sized tubers from the produce.
Table 19. Method of producing own seed (% of responses)
Potato growers Particulars
Marginal Small Medium Large All
A. Farmers using own seed 11.11 0.00 31.25 43.75 20.90
B. Method#
Separate seed plot 50.00 0.00 40.00 14.29 28.57
Best looking plant 0.00 0.00 0.00 28.57 14.29 Small tubers 0.00 0.00 20.00 14.29 14.29
Seed plot technique 50.00 0.00 40.00 42.85 42.86
# = % of responses out of own seed using farmers
4.2.31. Price satisfaction
Only 17% respondents were satisfied with the price they received (Table 20). Farmers’ non-
satisfaction over price they were getting was due to higher production followed by low potato
exports to other countries, poor marketing infrastructure, higher production cost and market
malpractices (Acharya and Agarwal, 1987). Respondents believe that minimum support price for
potato followed by export promotion; improved marketing system and higher processing can
ensure better prices to them. In India no minimum support price scheme exists for potato.
However, farmers’ bodies are continuously demanding this scheme in potato. The fulfillment of
this demand seems unlikely.
Potato growers Particulars
Marginal Small Medium Large All Total (2007-08) Cut 57.89 52.63 80.95 62.96 63.95 Whole 42.11 47.37 19.05 37.04 36.05 Total (2008-09) Cut 42.11 58.82 87.50 56.67 59.76 Whole 57.89 41.18 12.50 43.33 40.24
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Table 20. Price satisfaction level of potato farmers (% of responses)
Category of potato growers Particulars
Marginal Small Medium Large All
Price satisfaction 22.22 0.00 18.75 25.00 16.67
Reasons of dissatisfaction (Multiple responses)
Excess production 75.00 73.33 58.33 72.73 70.00
Market malpractices 16.67 20.00 16.67 9.09 16.00
Poor marketing infrastructure 33.33 13.33 8.33 27.27 20.00
Higher production cost 8.33 20.00 33.33 18.18 20.00
Less export 12.50 18.75 33.33 43.75 27.27
How to get right price (Multiple responses)
Export promotion 20.00 25.00 50.00 55.56 35.42
Minimum Support Price 73.33 83.33 75.00 44.44 68.75
Higher processing proportion -- 8.33 16.67 11.11 4.17
Improved marketing system 26.67 16.67 13.33 11.11 17.91
Note: Potato prices pertain to the period between February 11 to 16, 2009
4.2.32. Post Harvest Losses
The harvest of potato crop in the area coincides with the onset of summer. On an average
postharvest losses were highest at the stage of sorting and re-filling (after cold storage) followed
by losses at harvesting stage and then the first time bag filling at household/ farm level (Table
21). Potato is cold stored between April and December months in the study area. Before putting
potato in cold stores, farmers store them in heaps for 15 days to two months depending upon the
ongoing market prices. The purposes of heap storage are curing skin of potato; exploring
opportunity of right selling price to save cold storage charges; and preparing potato tubers for
better processing. Cut/ cracked tubers, green tubers and rotting were the main sources of
postharvest losses at all the stages.
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Table 21. Assessment of post harvest losses (Multiple responses)
Potato growers Particulars
Marginal Small Medium Large All Harvesting method Bullock 100.00 100.00 62.5 31.25 74.63 Mechanical 0.00 0.00 37.5 68.75 25.37 PHL at Harvesting (%) 4.22 5.12 4.28 4.833 4.66 % responses Cut/Crack 100.00 100.00 100.00 100.00 100.00 Green 14.29 28.57 30.37 10.00 21.57 Rotting 50.00 35.71 38.46 30.00 39.22 PHL at bag filling loss (%) 3.00 3.22 3.81 5.79 3.50 % responses Crack 16.67 25.00 50.00 40.00 33.33 Green 33.33 50.0 66.67 80.00 57.14 Rotting 50.00 50.0 50.0 20.00 42.85 PHL after cold storage (%) 5.67 7.00 6.83 3.88 6.30 % responses Green 0.00 33.33 25.00 20.00 21.43 Rotting 100.00 33.33 75.00 60.00 64.29 Weight
loss 50.00 33.33 25.00 40.00 35.71
4.2.33. Level of mechanisation
Mechanisation is very important in modern potato cultivation. However, in the study area it was
less than absolute due to small holdings, availability of cheap labour and lack of funds. Absolute
mechanisation in the preceding sentence refers to 100% mechanisation in four important field
operations, viz., field preparation, planting, earthing up and potato digging. Mechanisation index
was high in case of field preparation and potato planting (Table 22). The index was relatively low
in case of earthing up and digging which were done with the help of bullocks (partial
mechanisation).
4.2.34. Capacity building
Trainings were imparted to the farmers by state government through horticulture department or
state agricultural universities. Nearly 23% potato farmers got some kind of training in the field of
agriculture (Table 23). Still higher number of respondents believe they need to be trained on
technical know how of agriculture and how to use various government schemes in the field of
agriculture.
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Table 22. Level of mechanization (% of responses)
Potato growers Particulars
Marginal Small Medium Large All Field preparation (mechanization index; 0-1) 0.833 0.735 0.833 0.938 0.802
Total mechanization 77.78 64.71 80.00 93.33 78.46
Partial 22.22 35.39 20.00 6.67 21.54
No mechanization 0.00 0.00 0.00 0.00 0.00
Planting (mechanization index; 0-1 ) 0.889 0.941 1.00 1.00 0.943
Total mechanization 83.33 88.24 100.00 100.00 92.42
Partial 11.11 11.76 0.00 0.00 6.06
No mechanization 5.56 0.00 0.00 0.00 1.52
Earthing up (mechanization index, 0-1 ) 0.528 0.558 0.667 0.600 0.575
Total mechanization 5.56 11.76 33.33 20.00 16.92
Partial 94.44 88.24 66.67 80.00 83.08
No mechanization 0.00 0.00 0.00 0.00 0.00 Digging (mechanization index, 0-1 ) 0.528 0.529 0.600 0.844 0.571
Total mechanization 11.11 5.88 33.33 81.25 31.82
Partial 83.33 94.12 53.33 6.25 60.61
No mechanization 5.56 0.00 13.33 12.5 7.58
Table 23. Extent of participation in training activities (% of responses)
Particulars Potato growers
Marginal Small Medium Large All Got training 21.43 18.19 30.00 23.08 22.92
Gap in technical knowledge 18.75 41.67 23.08 33.33 29.63
Areas#
Technical know how 100.00 85.71 85.71 100.00 92.59
Govt. Scheme -- 28.57 28.57 -- 14.81
# % responses out of respondents who elicited gap in technical knowledge
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CONCLUSIONS
1. All respondents across all potato grower categories believed their potato yields can
further increase. As per farmers’ perception, high yielding new potato varieties followed
by heat tolerant potato varieties, proper late blight control, water saving technologies
and drought tolerant varieties were seen as important factors that could increase potato
yield.
2. Low yield, late blight susceptibility, tuber cracking during bulking stage, lower price of
tubers, heat susceptibility, poor storability and longer duration of maturity were
important reasons quoted by responding farmers for abandoning potato varieties in the
past.
3. Ninety percent of respondents believed that heat was a limiting factor towards
achieving higher yield levels. Relatively lower proportion (31.5%) of respondents
revealed drought as abiotic stress to the potato crop. However, higher proportion of
small and marginal farmers expressed drought as a potential threat to their potato crop.
4. Heat tolerance followed by high yield, resistance to late blight, suitability for processing,
resistance to potato tuber moth and early maturity were important attributes farmers
wanted in new potato varieties.
5. Potato growers comprised the richest section of respondents followed by non-potato
growers and non-farmers. Within potato farmers, as expected, larger farmers were the
richest followed by medium, small and marginal ones. Contribution of potato in total
and farm increased as the size of potato holding increased indicating that larger farmers
were in a position to reap economies of scale on account of heavy fixed costs in potato
cultivation.
6. Most of the baseline indicators/ standpoints were governed by family income.
Educational qualification of head of family, house condition, nutritional security,
individual water and electricity connections, toilet facilities, social participation level,
type of children’s schools, monthly expenditures (food, children education, travel and
bills), cooking gas connection, DTH TV, ratio of food expenditure to net family income
(Engel’s curve) and farm assets were on expected lines vis-a-vis the family income.
7. On an average potato farmers in the study area were putting 63% of cultivated land
under potato. Cotton, wheat, fodder and groundnut were the other important crops on
the farms of respondent farmers.
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8. Kufri Badshah was the leading potato variety in the area followed by Kufri Pukhraj and
Kufri Luavkar.
9. The overall potato yield in survey was 28 tonnes per hectare compared to just 16 tonnes
at national level (DES, 2010).
10. In a heat prone state like Gujarat where seed degeneration rate is very high (Singh et al.,
2000), seed replacement rate is also faster (Kumar et al., 2008). Seed replacement rate
was same for Kufri Badshah and Kufri Pukhraj varieties (after interval of 1.08 years).
However, this rate was slow (after the interval of 1.5 years) in case of Kufri Lauvkar.
11. Overall 2.52 to 2.66 ton seed potato was used per ha. Seed rate across varieties and
farmer categories didn’t show wide fluctuation.
12. Only 21% respondents retained some seed potato from own crop. Seed plot technique
was the most commonly used method of producing own seed followed by separate plot
for producing seed, selecting best looking plants and selecting small sized tubers from
the produce.
13. Only 17% respondents were satisfied with the price they received. Farmers’ non-
satisfaction over price they were getting was due to higher production cost followed by
low potato exports to other countries, poor marketing infrastructure, higher production
cost and market malpractices.
14. Out of four important field operations, viz., field preparation, planting, earthing-up and
potato digging, Mechanisation index was high in case of field preparation and potato
planting. The index was relatively low in case of earthing up and digging which were
done with the help of bullocks.
RECOMMENDATIONS
For breeding team of the project
Extent of heat tolerance in varieties: Temperature rise of 10C is predicted during main potato
crop growing winter season by the year 2020 (Singh et al., 2008). Study also predicts 19.65% fall
in potato yield by 2020 in the state of Karnataka followed by Gujarat (18.23% fall) and
Maharashtra (13.02% fall). Potato varieties intended to be released under GTZ project (assuming
release in 2011-12; full adoption in 2015-16) are supposed to have field presence in 2020. Since
heat is already affecting potato yield in the study area crop improvement project should consider
development of potato varieties that can give normal yield at least at 20C higher minimum night
temperature (i.e. 220C) than the conventional potato varieties.
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39
PTM resistance: Second and third most important attributes in new potato varieties i.e. high
yield and late blight resistance (Figure 3) generally get adequate attention in potato breeding
programmes. However, special stress needs to be given on breeding PTM resistant varieties for
the study area. PTM is a severe problem in the study area which is forcing potato growers to
adopt early varieties for table purpose only. Potato growers find themselves handicapped for
traditionally storing produce in heap etc. even for shorter duration of one month. Agro-
climatically the study area is highly suited for producing processing grade potatoes; however, the
PTM menace restricts potato farmers adopting this lucrative option. The proper management
practices of crop in the field and timely planting of seed can reduce the PTM infection in field.
Processing varieties: Raw material (processing grade tubers) demand of potato processing
industry in India was estimated 2.678 million MT during 2010-11 (Rana and Pandey, 2007). This
demand constitutes 10.76% of Indian average potato production during TE 2007-08 (DES, 2010).
Although, specific estimates for Gujarat state are not available yet Rana and Pandey (2007) clearly
showed that the proportional demand of processing grade tubers in this state is much higher
than the national one. Breeders should assign higher importance to this attribute than depicted
in Figure 3.
Early maturing potato varieties: Small size of land holdings in India, in general, and in the study
area, in particular, induces farmers to take another crop after potato before the main Kharif (rainy
season) crop. Although farmers have an option of going for Kufri Pukhraj which is an early
maturing and high yielding variety, yet another early variety having better storability and late
blight resistance will certainly be preferred by the potato farmers.
Better potato storability through new varieties: Poor farmers with small land holdings avoid
paying cold store charges and opt for conventional storage to higher extent. Better storability as
an attribute in new potato varieties is likely to be more beneficial to the poor potato farmers
having small land holdings.
Tube wells for small and marginal farmers: Higher proportion of marginal and small farmers
considered drought to be a potential threat for their potato crops. In the study area entire
irrigation is through deep tube wells. Water is pumped from a depth of up to 500 feet. Land
holdings being small and digging tube well very costly, most of the tube wells were jointly
owned. Small and marginal farmers, in higher proportion, lack resources and access to resources
for constructing their own tube well. They have to buy water from others which is very costly and
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sometimes unavailable when required. Cooperatives are very successful in the state of Gujarat
and people by and large understand its importance. State government should encourage
cooperative tube wells through establishing self help groups of the farmers providing them seed
money.
Agricultural Extension services targeting small and marginal farmers: Marginal farmers
showed higher than average importance for better agricultural extension services and lower
input prices in further increasing their potato yield. As this is economically the most vulnerable
farmers’ class, concerned government bodies need to address their problems specially.
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REFERENCES
Acharya, SS. 2009. Food Security and Indian Agriculture: Policies, Production Performance and
Environment. Agricultural Economics Research Review. Vol. 22: 1-19.
Acharya, SS and NL Agarwal. 1987. Agricultural Marketing in India (Second Edition). Oxford and
IBH Publishing Co. Pvt. Ltd., New Delhi. pp 218-220.
Basu P S and Minhas J S. 1991. Heat Tolerance and Assimilate Transport in Different Potato
Genotypes. Journal of Experimental Botany 42: 861-866.
Chand, Ramesh, SS Raju and LM Pande. 2007. Growth Crisis in Agriculture: Severity and
Options at National and State levels. Economic and Political Weekely. Vol. 42(26).
C P R I. 2009. Annual Report 2008-09. Central Potato Research Institute, ICAR, Shimla 171 001 HP:
vi+209.
DES. 2010. State-wise potato area and production statistics. Directorate of Economics and
Statistics, Ministry of Agriculture, Government of India.
FAO. 2008. New Light on a Hidden Treasure. An End-of-Year Review (International Year of the
Potato-2008). Food and Agriculture Organization of the United Nations, Rome: 148 p.
Gupta S P. 2009. Chi-Square test and Goodness of Fit. Statistical Methods. Sultan Chand and
Sons, New Delhi. Thirty seventh revised edition: 953-1003.
Kesari and Rajesh K Rana. 2008. Potato Revolution in Gujarat: Lessons for other states. Poster
presented in Global Potato Conference – 2008, New Delhi, December 09-12, 2008.
Kumar, NR, NK Pandey and RK Rana. 2008. Production and Marketing of Potato in Banaskantha
District of Gujarat. Indian Journal of Agricultural Marketing. 22(1): 99-110.
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42 A S S E S S I N G P O T A T O F A R M E R S ’ P E R C E P T I O N S O N A B I O T I C S T R E S S E S
Lal, SS, PM Govindakrishnan, VK Dua, JP Singh and SK Pandey. 2008. Impact Assessment of
Climate Change for Research Priority Planning in Horticultural Crops. CPRI, Shimla (India): xx +
228 p.
Minhas J S and Devendra Kumar. 2005. Tuberization in Heat Tolerant Hybrid HT/92-621 under
Controlled Temperature Conditions. Potato Journal. 32: 195-196.
Rana, Rajesh K. and SK Pandey. 2007. Processing Quality Potatoes in India: An Analysis of
Industry’s Demand. Processed Food Industry. Vol. 10 (8): 26-35
Rana, Rajesh K. and SM Paul Khurana. 2003. Potato Gluts: Steps to Safeguard Farmers’ Interests
(In Hindi). Agri Watch. Vol. 4(22).
Shekhawat, GS and PS Naik. 1999. Potato in India. Technical Bulletin-1. CPRI, Shimla (India):
99 p.
Schumpeter, J.A. 1954. History of Economic Analysis. Oxford University Press, New York, 1954,
p. 961
Singh, JP, SS Lal, PM Govindakrishnan, VK Dua and SK Pandey. 2008. Climate Change and
Potato Production in India. Poster presented in Global Potato Conference – 2008, New Delhi,
December 09-12, 2008.
Singh, S, VK Garg, S Kumar and GS Shekhawat. 2000. Seed Production Manual. Central Potato
Research Institue, Shimla. pp. 91.
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ANNEXES
Annex 1. Computation of various indices used in the study Sr. Index Range Description 1 Labour participation 0 to 1 No worker = 0; part time worker = 0.5; and full time
worker = 1 2 Soil testing 0 to 1 Not tested = 0; and tested =1 3 Action taken on soil
report 0 to 1 No action = 0; and action taken = 1
4 Green manuring 0 to 1 Not adopted = 0; and adopted = 1 5 Level of mechanization 0 to 1 No mechanization = 0; partial mechanization = 0.5; and
complete mechanization = 1 6 Education 1-5 Illiterate = 1; 7 years of schooling = 2; secondary = 3;
secondary specialized = 4; and higher education = 5 7 Priority index of
varietal attributes 0-100 Multiple responses were assigned weights (1st response
= equal weight; 2nd and 3rd responses = half weight; subsequent responses = one-fourth weight) The figure so obtained was converted equivalent to % multiple responses.
Annex 2. Priority indices for breeding new potato varieties (Multiple responses) Category of potato growers Top 10 breeding
priorities Marginal Small Medium Large All
% importance
1. Heat tolerant** 100.00 68.75 100.00 100.00 92.19 22.43 2. High yield*** 56.25 100.00 93.75 37.50 71.88
17.49 3.Resistant to late blight***
31.25 43.75 25.00 93.50 48.43 11.78
4. Resistance to PTM*** 25.00 31.25 43.75 56.25 39.06 9.50 5.Large and uniform tubers
31.25 37.50 37.50 37.50 35.94 8.75
6. Drought tolerant** 18.75 37.50 25.00 37.50 29.69 7.22 7. Fit for processing*** 6.25 6.25 37.50 68.75 29.69 7.22 8. Early maturing*** 18.75 12.50 31.25 50.00 28.13 6.84 9. Shining skin*** 18.75 18.75 37.50 12.50 21.88 5.32 10. Good storability 18.75 12.50 12.50 12.50 14.06 3.42 Note: Chi-square test indicated statistically different response levels among farm categories at ** = 5%; and *** = 1% level of significance
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Annex 3. Socio-economic characteristics of head of the family Category
Potato growers Particulars
Marginal Small Medium Large All Non- potato growers
Non- cultivators
Overall
Age (years) 52.11 52.65 51.50 44.00 51.33 48.17 45.90 48.23 Education (1-5)
2.89 3.47 3.75 4.06 3.42 3.33 1.85 2.55
Largest Primary Occupation (%)
Farming (77.78)
Farming (94.12)
Farming (87.50)
Farming (93.75)
Farming (87.95)
Farming (83.33)
Labour (80.00)
Farming (50.50) Labour (43.76)
Gender (%) 1.Male 100.00 100.00 100.00 100.00 100.00 100.00 95.00 98.92 2. Female 0.00 0.00 0.00 0.00 0.00 0.00 5.00 1.08
Labour Participation (%)
72 74 84 78 77 83 00 35
Annex 4. Net Annual Income of sampled households (INR ‘000) Category Potato growers
Particulars
Marginal Small Medium Large All Non-potato growers
Non- cultivators
Overall
Agriculture 1. Crops
(including potato)
93.239 143.876 252.64 682.792 199.004 47.844 0.000 80.852
2. Dairy 41.552 42.391 37.875 33.780 40.460 16.378 12.884 23.895 3. Potato 16.235 44.026 99.454 320.731 71.722 0.00 0.00 28.079
Salary/remittances 21.667 8.471 29.375 0.000 15.852 20.000 1.750 8.393 Other non-farm income
2.889 0.000 0.000 6.250 1.400 16.333 27.848 16.786
Total 159.346 194.737 319.890 722.822 256.717 100.555 42.483 129.927 Per capita net income
29.578 37.497 52.275 116.237 45.172 15.733 8.943 23.544
% potato contribution
In crop income 17.41 30.60 39.37 46.97 36.04 0.00 0.00 11.74 In total income 10.19 22.61 31.09 44.37 27.94 0.00 0.00 21.61
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Annex 5. Average inventory of household assets and standard of living Category
Potato growers Particulars
Marginal Small Medium Large All Non- potato growers
Non- cultivators
Overall
Motorcycle (No.) 0.72 0.88 1.13 1.75 0.96 0.50 0.00 0.41 Car (No.) 0.06 0.06 0.25 0.94 0.17 0.00 0.00 0.07 Pick-Up/Utility (No.) 0.06 0.00 0.62 0.06 0.04 0.17 0.00 0.02
Cycle (No.) 0.00 0.00 0.13 0.00 0.03 0.33 0.30 0.19 House condition (1-5) 4.06 4.53 4.50 4.50 4.38 2.67 1.80 3.72 Food grain storage (%)
Tin container 72.22 86.67 93.33 100.0 87.30 100.00 63.16 82.95 Sacks 27.78 13.33 6.67 0.00 12.70 0.00 36.84 17.05
Nutritional security (%) 83.33 100.0 100.00 100.00 92.54 83.33 65.00 84.02 Water connection (%) 94.44 100.00 100.00 100.00 98.51 100.00 50.00 88.17 Electrification (%) 88.89 100.00 100.00 100.00 97.01 100.00 70.00 91.40 Sanitation (%)
Flush toilet 70.59 88.24 87.5 81.25 81.82 50.00 0.00 61.95 Temporary toilet 29.41 11.76 12.5 18.75 18.18 16.67 25.00 19.57 Open field 0.00 0.00 0.00 0.00 0.00 33.33 75.00 18.48
Social participation (%) 58.82 75.00 62.5 86.67 70.31 16.67 5.00 52.22 Migration rate (%) 0.00 0.00 0.00 0.00 0.00 0.00 10.0 2.56 Per family migration (No.) 0.000 0.000 0.000 0.000 0.000 0.000 0.350 0.075 School type of children (%)
Government 69.23 53.33 46.15 30.77 50.00 83.33 92.86 60.81 Private 30.77 46.67 53.85 69.23 50.00 16.67 7.14 39.19
Monthly expenditure (INR) Food 3222.22 3678.57 6000.00 7107.1
4 4901.64 2833.33 1910.53 4096.51
Children education 1300.00 1507.14 2579.17 2641.67
1987.0 976.67 788.462 1673.33
Travel 1017.19 1257.14 1306.25 2866.67
1602.87 1040.00 400.00 1322.59
Bills 880.0 796.56 1298.67 2815.38
1390.25 833.33 300.00 1176.95
Total 6419.41 7239.42 11184.1 15430.9
8629.1 5683.33 3398.99 7184.52
Cooking gas (%) 77.78 100.0 100.0 100.0 93.94 66.67 0.00 72.53 TV (%) 76.47 94.12 93.75 100.00 75.76 66.67 25.00 64.13 DTH TV (%) 37.50 52.94 62.50 62.50 53.85 16.67 5.26 41.11
Landline (%) 61.11 56.25 68.75 100 71.21 16.67 0.00 52.75 Mobile (%) 83.33 88.24 87.5 100 89.55 100.0 47.37 81.52 Internet (%) 0.00 5.88 0.00 25.00 7.46 0.00 0.00 3.49 Water purifier (%) 5.56 5.88 12.5 37.5 14.93 0.00 5.26 11.96 Members using email/ family 0.06 0.06 0.19 0.44 0.12 0.00 0.30 0.21
Annex 6. Potato status in major producer states of India
Area (‘000ha) Production (‘000 tonne) Yield (tonne/ha) Sr. No. State 2000-01* 2007-08* 2000-01* 2007-08* 2000-01* 2007-08*
1. Uttar Pradesh 425.4 473.1 9466.6 10443.3 22.3 22.1 2. West Bengal 311.3 387.7 7281.7 7471.8 23.4 19.4 3. Bihar 170.0 148.7 1605.4 1204.6 09.4 08.1 4. Punjab 71.3 76.3 1424.6 1307.8 20.0 17.1 5. Total (1to4) 978.0 1085.8 19778.2 20427.5 20.2 18.8 6. Gujarat 31.9 53.3 705.9 1405.3 22.1 26.7 7. All India 1290.6 1478.9 23488.9 24822.2 18.2 16.8
Note:* = Triennium ending year. Source: Directorate of Economics and Statistics, Ministry of Agriculture, Government of India, 2009.
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Annex 7
CIP, SWCA, New Delhi and CPRI, Shimla Collaborative Project Food and income security in SWCA through abiotic stress tolerant potato varieties
Diagnostic Survey for GTZ Project in Gujarat
Respondent’s name _______________________________________Phone _______________Date_____/_____/2009 District_____________ Block______________ Village________________ Investigator ________________________
1. Household information
Please provide details of household members and workers (starting with respondent)
Relation with head
Gender
Age
Education level
Primary occupation
Secondary occupation
Labour participation
1.Respondent (_________)
2.
3.
4.
CODES Gender 1. Male 2. Female
Education level 1. None 2. Primary (≤ 7 years) 3. Secondary 4. Secondary specialized 5. Higher education
Relationship with head 1. Self 2. Spouse 3. Child 4. Parent 5. Other relatives 6. Other (specify)_________
Occupation 1. Farming 2. Salaried job 3. Business 4. Home
management 5. Student 6. Other
(specify)_____
Labour participation (during production season) 1. Full time
worker 2. Part time
worker 3. Not a
worker 4. Other
(specify)__
2. Land use pattern Land holding (mention conversion factor if unit is not standard; check if Acre is standard one) (1 ha= _______
big ha/ ________)
a) Agricultural land Owned Irrigated
Un-irrigated
Rented in Irrigated
Un-irrigated
Rented out Irrigated
Un-irrigated
Self cultivated Irrigated
Un-irrigated
b) Potato cultivation Irrigated
Un-irrigated
Total
c) Un-cultivable land Owned (specify use)
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3. Livestock owned (No.)
Cattle (cow/ bullocks) Buffaloes Goats Sheep Poultry Horse/ donkey Other (specify)________
4. Farm assets a) In the following table, please indicate the number of listed items owned.
Do you have? No. owned Type 1. Motorcycle
2. Car
3. Pick up or utility vehicle
4. Tractor
5. Bullock-plough
6. Potato planter
7. Potato digger
8. Potato graders
9. Trolley (with tractor)
10. Other (specify)______________
5. Crops grown a) What is the total area grown under each type of crop last year (2008-09) Crop Acres planted
Codes Crops grown 1. Potatoes 2. Maize 3. Cotton 4. Wheat 5. Tomatoes 6. Suran (Jamikand/ Elephant foot) 7. Groundnut 8. Cabbage
9. Onions 10. Melon/watermelon 11. Peas 12. Caster 13. Fodder 14. Other (specify)______
6. Potato plots
a) Growing potatoes for ________ years b) No. of potato crops you take in a year?___________ Number of fields on which potato was cultivated
2007-08 2008-09
Rabi Kharif/ spring Rabi Kharif/ spring
Rabi = Winter crop Kharif = Summer/ rainy season crop
(Draw a rough sketch of the plots in the farm)
(Use the box on right side)
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7. Soil health status (mention if he doesn’t know)
a) Have you ever got your soil tested? 1=Yes 2=No (√)
b) If yes, first __________ and latest __________ year of testing
c) Lab name _____________________________
d) Soil testing charges _______________________________
e) Elements tested ____________________________
f) Your action on test report ____________________________
g) Soil reaction? Neutral/ Acidic/ Basic (√)
h) Soil pH level (let it be farm/ location wise) _____________________
i) Soil carbon level (let it be farm/ location wise)
_____________________________________________________________________________
j) Carbon sequestration measures
_____________________________________________________________________
k) Any change in soil texture and structure (last 10 years)
_________________________________________________
l) Green manuring during last year 1=Yes 2=No Area under green manuring _____________
8. Irrigation status (overall)
a) Irrigation water source e.g. Canal (_________%); tube well (_________%) other ____________ ( _________%)
b) Irrigation type e.g. Flooding (_______%), sprinkler (________%), drip (________%), other __________(______%)
c) What is quality of your irrigation water? Good/ Bad/ Very bad (√)
d) If bad/ very bad explain why _______________________________________________________________________
e) Availability of irrigation water? Adequate/ Less/ Scarce (√)
f) Explain if you have problem(s) with irrigation water ____________________________________________________
g) Do you purchase/ sell water? 1=Yes 2=No (√). Price (with unit) if purchase/sell
_______________________
h) Irrigation investment
Irrigation system Area covered Investment Maintenance cost# Running cost# (Unit_________) Year Rs. Rs./ year Rs./ year Drip
Sprinkler
Tube well
Others (________)
# During 2008-09
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9. Potato production
a) For each season please give details of varieties grown, area and production level of each potato plot
Year & season Plot #
Variety grown
Area (_____)
Source of seed
Seed use Production
Quantity (qt)
Price (Rs/ qt)
Seed size
Cut=1 Whole=2
Quantity (qt)
2007-08 (Main)
Second crop
2008-09 (Main)
Second crop
Varieties grown 1. K. Badshah 2. K. Lauvkar 3. K. Pukhraj 4. K. Chip-1 5. K. Chip-3 6. K. Surya 7. Lady Rosetta 8. Shepody 9. Kennebec 10. Atlantic 11. Other (___________
Seed source 1. Own 2. Neighbour (untrained) 3. Market trader 4. Commercial trained seed grower
(Gujarat) 5. Seed grower
association(specify)__________ 6. Seed potato companies 7. Govt. farms 8. Direct from Punjab or UP 9. Other (specify)_________
Seed sizes 1. Small (<20 g) 2. Medium (20-60 g; egg sized) 3. Large (>60 g) 4. Other (specify)________
b) For each potato variety grown, when the variety was grown first time and what was the seed source?
Seed replacement Variety grown
Year first grown
Seed source first
time After how many years?
What was the last seed source?
Codes Varieties grown
1 K. Badshah 2 K. Lauvkar 3 K. Pukhraj 4 K. Chip-1 5 K. Chip-3 6 K. Surya 7 Lady Rosetta 8 Shepody 9 Kennebec 10 Atlantic 11 Other (_______
Seed source 1 Own 2 Neighbour (untrained) 3 Market trader 4 Commercial seed grower/
trained farmer 5 Seed grower association
(________ 6 Chambal Agritech/ technico 7 Govt. farms 8 Other (specify)_________
c) Name the varieties you want to grow if seed is available ______________________________________________ d) What is your principal method of retaining seed for your own next year use?
1 I grow seed in a separate seed plot 1=Yes 2=No (√)
2 I select the best looking plants and select their tubers for seed (positive selection) 1=Yes 2=No (√)
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3 I sort out the small tubers from the overall harvest 1=Yes 2=No (√)
4 Use proper seed plot technique 1=Yes 2=No (√)
5 Other (Specify)____________________________________________________________________________
10. Varietal preference a) Before these varieties (listed above), what old varieties did you grow and main reasons for abandoning them? Varieties abandoned Reasons for abandoning
i. ___________________________
__________________________________________________
__
ii. ____________________________
__________________________________________________
__
iii. ____________________________
__________________________________________________
__
b) Do you have problems getting high quality seeds? 1=Yes 2=No (√); If yes, what are the
problems?
i. __________________________________________________________________________________________
ii. __________________________________________________________________________________________
iii. __________________________________________________________________________________________
c) For each variety grown indicate the good and bad qualities if any, starting with the most important: Good qualities Bad qualities Variety
Most important 2nd important 3rd Important Most important 2nd important 3rd Important
Varieties grown 1. K. Badshah 2. K. Lauvkar 3. K. Pukhraj 4. K. Chip-1 5. K. Chip-3 6. K. Surya 7. Lady Rosetta 8. Shepody 9. Kennebec 10. Atlantic 11. Other (___________
Good qualities 1. Shining skin 2. Skin colour other than white 3. High yielding 4. Heat tolerant 5. Resistant to late blight 6. Early maturing 7. Long dormancy period 8. Desirable tuber size 9. Drought tolerant/ resistant 10. Easy availability of clean seed 11. Good storability (traditional and cold
storage) 12. Higher prices of produce 13. Very tasty and good texture 14. Good for processing 15. Other (specify)___________
Bad qualities 1. Dull skin colour 2. Bad tuber shape 3. Low yielding 4. Susceptible to heat 5. Susceptible to Late Blight 6. Late maturing 7. Short dormancy 8. More tubers of undesirable size 9. Drought susceptible 10. Un-availability of clean seed 11. Bad storability (traditional and
cold storage) 12. Lower prices of produce 13. Bland taste and bad texture 14. Unfit for processing 15. Other (specify)______________
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d) What should be the priorities for potato breeding for future varieties (what traits)?
i. ___________________________________________________________________________________________
ii. ___________________________________________________________________________________________
iii. ___________________________________________________________________________________________
iv. ___________________________________________________________________________________________
e) Is drought a problem to you in potato production? 1= Yes 2= No 3=don’t know (√)
f) Is heat a problem to you in potato production? 1= Yes 2= No 3=don’t know (√)
g) Are you aware of variety differences in level of tolerance to drought/heat? 1=Yes 2=No (√)
h) If yes, rank the known varieties according to level of tolerance (one for the most tolerant) Variety name (not code) Rank
i.__________________ ___________
ii.__________________ ___________
iii__________________ ___________
iv__________________ ___________
i) Please, indicate what crops were grown before potatoes in the plots mentioned above Plot # Two years before
this year One year before this year
Comments, if any
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11. Potato marketing a) Have you sold potatoes at any time in the last 2 years? 1=Yes 2=No (√). If no; why ____________________
____________________________________________________________________________________________
b) Please, give details of marketing for each of the varieties grown Year and season
Variety Sold to whom?
Quantity sold (qt)
Price/ qt (Rs)
Home consumption
(qt)
Kept for seed (qt)
Waste or fed to
animals (qt)
Who makes sell decision?
2007-08
2008-09
Varieties grown 1. K. Badshah 2. K. Lauvkar 3. K. Pukhraj 4. K. Chip-1 5. K. Chip-3 6. K. Surya 7. Lady Rosetta 8. Shepody 9. Kennebec 10. Atlantic 11. Other (___________
To whom potato was sold 1. Local market 2. Distant market 3. Middlemen’s agent at farm 4. Private trader at farm
(specify)__________ 5. Direct to retailer/ consumer 6. Other (specify)___________
Sell decision 1. Wife 2. Husband 3. Both 4. Brother 5. Father 6. Uncle 7. Others (specify)__________
12. Other marketing details
a) You did automatic grading, cleaning, packing this year? 1=Yes 2=No (√)
b) If yes then what proportion of total produce? Grading (________%); Cleaning (_________%); Packing
(________%)
c) Have you got own machine for grading: 1=Yes 2=No; cleaning: 1=Yes 2=No; packing:
1=Yes 2=No (√)
d) If no, where is facility for grading _________________; cleaning __________________; packing _______________
e) Do you regularly sell to 1 or 2 same buyers? 1=Yes 2=No (√)
f) How do you get payment? Cash/ cheque/ other (_____________) (√)
g) Do you get spot or delayed payment? (√) If delayed by how much time
________________________
h) How market price information system can be improved?
_________________________________________________
i) Local market price (this date) of potatoes? Rs./qt (2007-08) _____________________ (2008-09)
__________________
j) Are you satisfied with the price you get for your produce? 1=Yes 2=No (√)
k) If no, what are the reasons for low prices? i)
____________________________________________________________ ii)
________________________________________ iii) _______________________________________________
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l) What can be done to get right price __________________________________________________________________
13. Marketing problems
a) Did you have any marketing problems? 1=Yes 2=No (√)
b) If yes, indicate the major marketing problems, starting with the most important Marketing problems Year and
season Variety Most
important 2nd important
3nd important
2007-08
2008-09
Varieties grown 1. K. Badshah 2. K. Lauvkar 3. K. Pukhraj 4. K. Chip-1 5. K. Chip-3 6. K. Surya 7. Lady Rosetta 8. Shepody 9. Kennebec 10. Atlantic
11. Other (________
Marketing problems 1. Low prices 2. Long distance to
market 3. Market intelligence 4. Market malpractices 5. Payment delays 6. Costly transportation 7. Small quantity for sale
8. Other (_____________
14. Assessment of post harvest losses
a) Harvesting method? Manual/ bullocks/ mechanical (√).
b) Post harvest losses at
i. Harvesting ___________%, reasons
___________________________
ii. Bag filling after heaps/ room storage ___________%, reasons
___________________________
iii. Sorting after cold storage ___________%, reasons
___________________________
Reasons: Cut/ Crack=C; Greening=G, Odd size=O, Rotting=R; Other (_____________________________________)
15. Contract farming
a) Are you engaged in potato contract farming (CF)? 1=Yes 2=No (√)
b) If yes, since when? ____________________________________________________________________________
c) Inputs/ services provided by the company (Company ____________________________)? i) _________________
ii) ___________________________________________iii) _________________________________________
d) Mechanism of pre-fixation of potato price? ___________________________________________________________
e) Your contract farming experience. __________________________________________________________________
______________________________________________________________________________________________
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f) Details on contract farming
Company name Focus Area Potato quantity (qt) Rejection reasons Unit(___) Produced (under CF) Accepted 06-07 07-08 06-07 07-08 06-07 07-08
1.
2.
3.
Focus: 1=Seed; 2=Table; 3=Processing purpose; Area=under CF potato
16. Future trading
a) Do you know what is potato future trading? 1=Yes 2=No (√)
b) If yes, have you ever participated in future markets? 1=Yes 2=No (√)
c) If yes, in which year and how many times? 1st year ____________________; No. of times
_______________
d) Your experiences in future markets _________________________________________________________________
_________________________________________________________________________________________________
17. Crop insurance
a) Is potato crop insurance available in your area? 1=Yes 2=No (√)
b) If yes, have you adopted it? 1=Yes 2=No (√)
c) If yes, what is insurance mechanism?
__________________________________________________________________
d) Your experiences in potato crop insurance
______________________________________________________________
18. Level of mechanisation
Activity Mechanisation level Comments, if any
Field preparation
Planting
Earthing up
Digging
Codes Mechanisation level 1=Total mechanisation 2=Partial mechanisation 3=No
mechanisation
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19. Sources of technical knowledge on potato (MULTIPLE RESPONSES)
Source New inputs
Input prices/ availability
National/ local potato prices
Weather forecast
Policies influencing potato
Alternative occupation
1. Friends
2. Group discussions
3. Market middlemen
4. Govt. extension
worker
5. Radio/ Television
6. Newspapers/
periodicals
7. Emails/ Internet
8. Input seller
9. Farmer fair/ meetings
etc.
10. Field demonstrations
11. Private companies
12. Other
(______________)
a) Do you feel some information is still not reaching you? 1=Yes 2=No (√)
b) If yes, list the areas _____________________________________________________________________________
c) Agricultural extension and training activities during last one year Topic Who imparted
training?
1. ____________________________________________________ _____________________________
2. ____________________________________________________ _____________________________
3. ____________________________________________________ _____________________________
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20. Agricultural credit
a) Have you received any agricultural credit for farm production in the last 2 years? 1=Yes 2=No (√).
b) If yes, explain in the following table (last two years): Source of finance
When given
Amount of
loan (Rs)
Loan duration
(months)
Interest rate
(%/year)
Kind of
guarantee
Purpose of loan
Source of finance 1 Cooperative society 2 Moneylender
3 Friends 4 Relatives 5 Personal loan (bank) 6 Agri-loan (bank)
7 Kisan credit card 8. Other (___________)
c) Whether loan was used for the same purpose? 1=Yes 2=No (√)
d) If no, what was done with the loan amount? __________________________________________________________
e) Facing any problem in loan repayment? 1=Yes 2=No (√)
f) If yes, explain ________________________________________________________________________________
g) Do you take fresh loan to repay old loan? 1=Yes 2=No (√)
21. Standard of living and poverty a) House condition (judge) (Score 1 to 5) ______________
Code Description of house condition Worth 1. Hut with thatch on wooden supports <Rs 20000 2. Small house with earthen walls without toilet, bathroom and kitchen <Rs 50000 3. House with kitchen but without toilet <Rs 1lakh 4. Medium sized cemented, multi-room house with kitchen and toilet <Rs 5 lakh 5. Big cemented, multi-room house with kitchen, toilet and open space around ≥ Rs 5 lakh
b) Food grain storage system ___________________________________________________________________
c) Nutritional security (judge) 1=Yes 2=No (√)
d) Individual water connection 1=Yes 2=No (√);
e) House electrification 1=Yes 2=No (√)
f) Sanitation: Flush toilet/ temporary toilet/ open field (√)
g) TV 1=Yes 2=No (√)
h) Social participation at least one organisation 1=Yes 2=No (√)
i) Migration to outside the village only for seeking labour work 1=Yes 2=No (√)
j) How many members migrated? 2007-08_________________ 2008-09_________________
k) School type of children (e.g. govt./private/DAV/Central/Missionary, judge standard)
___________________________________
l) Monthly expenditure Rs. Food ___________ Children edu _____________ Travel(petrol/ fare not edu)
____________ Periodical Bills (name & amount e.g. newspaper, telephone, electric, water, TV)
____________________________________
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m) Cooking gas (LPG) use 1=Yes 2=No (√);
n) DTH TV 1=Yes 2=No (√)
o) Telephone (landline) 1=Yes 2=No (√);
p) Mobile (≥ one) 1=Yes 2=No (√)
q) Internet at home 1=Yes 2=No (√);
r) Home water purifier 1=Yes 2=No (√)
s) Family members using email (No.) _________________________
22. Income and development indicators
How much income did you or anyone in your household earned over the past 12 months?
Source Gross Income or Value (Rs) 1 Total crop sales (potato and other crops)
2 Sales of animals or animal products
3 Other farm income (__________________)
4 Salaries, gifts and remittances
5 Other non-farm income (___________________)
23. Farmers’ perception on potential yield of potato
Do you think your potato yield can further increase 1=Yes 2=No (√)
If yes, what are the factors that can increase yield
Factor 1=Yes; 2=No Importance (1 (low) to 5 (high))
1. Sufficient irrigation water
2. Soil reclamation (in case alkaline/saline or too acidic)
3. High yielding potato varieties
4. Water saving potato production technology
5. Drought resistant/ tolerant potato varieties
6. Heat tolerant potato varieties
7. Higher doses of fertilizers
8. Proper weed control
9. Right insect/ pest control
10. Right late blight management
11. Right control of other diseases
12. Right quality and timely availability of pesticides
13. Right quality and timely availability of fertilisers
14. Availability of adequate funds
15. Cheaper machinery
16. Low prices of inputs
17. Improvement in agricultural extension services
18. Other (__________________)
Close the interview with THANKS to the respondent
International Potato CenterApartado 1558 Lima 12, Perú • Tel 51 1 349 6017 • Fax 51 1 349 5326 • email [email protected]
CIP’s MissionThe International Potato Center (CIP) works with partners to achieve food securityand well-being and gender equity for poor people in root and tuber farming andfood systems in the developing world. We do this through research and innovationin science, technology and capacity strengthening.
CIP’s VisionOur vision is roots and tubers improving the lives of the poor.
CIP is supported by a group of governments, private foundations, and internationaland regional organizations known as the Consultative Group on InternationalAgricultural Research (CGIAR).www.cgiar.org