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8/22/2019 Impact Assesment on Wheat Techenology Production in Nashik Distrct
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OUTLINE OF RESEARCH WORK
Post-Graduate Research
On
IMPACT OF RECOOMONDED WHEAT PRODUCTION
TECHENOLOGY ON WHEAT PRODUCTION
IN NASHIK DISTRICT
Submitted by
Mr. DONDE JAGDISH PRAKASH
Reg. No: 12/221
Research Guide
Dr. R. R. SURYAWANSHI. Professor of Agricultural Economics
Division of Agricultural Economics,
College of Agriculture,
Kolhapur.
2012-2013
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c MAHATMA PHULE KRISHI VIDYAPEETH, RAHURI
COLLEGE OF AGRICULTURE, KOLHAPUR-416004
DIVISION OF AGRIL. ECONOMICS.
O U TL I N E OF R ESE ARC H W O R K
1. Name of Student : Mr. Donde Jagdish Prakash
2. Registration Number : 12/221
3. Degree : M.Sc. (Agri.)
4. Centre of PG Education : College of Agriculture, Kolhapur
5. Department & Discipline : Agricultural Economics.
Major Field : Agricultural Economics.
Minor Field : Agril. Extension Education,
Statistics and Mathematics.6. Name of Research Guide &
Chairman, SAC : Dr. R. R. Suryawanshi
. Professor, Agril. Economics,
College of Agriculture, Kolhapur
7. Title of Research Works : Impact of recommended Wheat
production technology on production of
Wheat in Nashik district.
8. Objectives:
1. To study extent of adoption of Wheat production technologies on sample farms.
2. To study economics of production of Wheat under different level of adoption.
3. To study the contribution of recommended technology in yield.
4. To study constraints in adoption of recommended production technology.
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9. Introduction:
Wheat (Triticum spp.) is worlds most widely cultivated agronomic
cereal crop; about 40percent of worlds population depend upon wheat as staple
food. Wheat accounts for the greatest volume of international trade.
Production and productivity of Wheat crop were quite low up to
1964-65. Country used to import large quantity of Wheat for fulfilling the need of
peoples from many countries. Introduction of new technology and semi dwarf
varities during the fourth five year plan (1969-74) had changed share of Indian
agriculture particularly known as Green revolution. India achieved remarkable
progress in Wheat production during the last four decades.
The major Wheat producing states in India is placed in northern
region of country. Uttar Pradesh, Punjab and Haryana contributing nearly 80% of
total Wheat production. During year 2010-11 India has 29.25 million ha area under
Wheat crop while production of 85.93 million ton. and productivity 2938 kg /ha. In
India Uttar Pradesh rank first regarding to area and production of 19.32 million ha
and 43.20 million ton respectively however Punjab have highest productivity of
4144kg\ha. (agricoop.nic.in)
Wheat is one of the important rabi crop in Maharshtra. During year
2010-11 area under Wheat crop is 12.69 lakh ha, production of 22.58 lakh Metric
tons, and productivity is 1730. Area under high yielding varities is 12.53lakh ha. In
Maharashtra coverage under Wheat crop maximum in Ahemadnagar district
followed by Parbhani, Hingoli, Pune, Nashik district. While as production concern
Jalgoan district rank first tailed by Hingoli, Buldhana district. Nashik district rank
8th
. (Economic Survey of Maharashtra 2010-11)
Wheat research station at Niphad was established in 1932. Research
station have good reputation, it often comes in lime light. Varities releases by
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research station famous in Maharashtra. Favorable soil, cold climatic condition,
efficient irrigation systems due to Godavari river and canal, availability of credit
makes positives factors for farmers to adopt new technology for Wheat production.
Nashik district have 7, 42,400 ha. net sown area while area under
total Wheat crop is 45,872 ha. Production of Wheat 67,976 metric tons while
productivity 1,886. (District wise statistic, Nashik district 2011).
10. Review of literature:
1. Adoption of Wheat production technologies of Farmers field.
Anonymous (2007) studied on impact of crop production
technology of major food grains on farm productivity and income in Western
Maharashtra. They observed that, at overall level there is 100 % adoption of
requisite soil, harrowing and irrigation followed by nitrogenous fertilizers (99%),
deed use (88%), phosphorus fertilizer (83%), intercultureing (82%) and potassic
fertilizer (79%). More than 75% of sample farm adopted timely sowing of Wheat,
75% followed deep ploughing and 72% used seed drill for sowing. all Wheat
grower used improved varities of which 69% used HD-2189 remaining used
MACS-2496, Lokwon Engale , Narmada , Nirmal, western 496 etc. it was notice
that use of N and P fertilizers as per recommendation was followed by 20 % and
25 % growers respectively, but nobody has followed adoption of K as per
recommendation.
Rajesh R. and S. Varadarajan (2000) assess the extent of adoption
of new dry land farm technology. The attempt was made to measure technology
adoption with the help of the technology adoption index which was a summary
measure of adoption of technology. The study found that the average level of
adoption of technology was 51.29 per cent and the largest number of 102 farms
(33.33%) was seen in the class intervals of 51-66 % adoption. Faith in traditional
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farming, non-awareness and lack of knowledge were the major constraints in
adopting recommended level of technologies in case of low technology adopters
2. Economics of production of Wheat under different level of adoption.
Anonymous (2007) studied on impact of crop production
technology of major food grain on farm productivity and income in western
Maharashtra they observed that Per ha. Cost C of Wheat was ranged from Rs
16111.16 for up to 50 % to Rs 18398.14 for above 51 % level of adoption. The
productivity, gross return and net farm income were higher by 5.68 qtl/ha, Rs
6121.82 and 3834.84 for above 51 % adoption. The per ha cost of production
decline from Rs 647.59 to Rs 591.93 with adoption of above 51 % technology, the
increased productivity from 23.72 to 29.40 qt/ha the production cost declined
by55.66 per qtl. Therefore the B:C ratio showed an improvement from 1.37 to
15.53 with increase in technology
3. Contribution of recommended technology in yield
Vidya Sagar (1978) studied contribution of individual technological
factor in agricultural growth for study area i.e. Rajasthan and concluded that out of
the total increase in the overall level of agricultural productivity 97 per cent
increase is contributed by the yield increase alone and very large part of yield
growth in crops i.e. per cent change was by three technological factors viz.
fertilizer irrigation and high yielding varieties
Gaonkar (2000) attempted the study on extent of technology
adoption by farmer and also threw light on the factor affecting the use technology
in Canacona taluka of south Goa. She found that there was direct relationship
between education and technology adoption by farmer. The study further reveled
that credit was important factor which influencing the technology adoption.
Matuschke et al. (2007) they analyzes the adoption and impact of
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hybrid Wheat in India. Based on survey data that they were conducted, farmers can
benefit significantly from the exclusive technology. Neither farm size nor the
subsistence level influence the adoption decision, but access to information and
credit does matters. Hybrid seeds should be made cost-effective by decreasing the
seeding rate, increasing the yield levels and alteration in planting technologies.
Adoption levels would be higher if seed prices were reduced.
Dubey and Srivastava (2007) conducted study to determine the level
of knowledge and adoption behavior of the farmers with respect to Wheat
production technologies due to training imparted by Krishi Vigyan Kendra,
Allahabad. 25 trainees and 25 non-trainees were randomly selected making the
sample size of 50 farmers. There was a significant difference between trainees and
non-trainees regarding the knowledge about the package of practices of Wheat
crop. The study also revealed that most of the trainees (84%) had higher level of
adoption followed by medium level (16%) whereas, most of the non-trainees had
medium level of adoption (64%) followed by low level of adoption (32%). This
indicates that there had been a significant difference between trainees and non-trainees regarding the extent of adoption of package of practices of Wheat crop.
They concluded that the trainees had more knowledge and extent of adoption of
package of practices of Wheat crop than non-trainees. The KVK should organize
more number of training programmers for maximum benefit of the farmers
4. Constraints in adoption of recommended production technology
Joshi (2008) studied determinants of acerage response and production
constraints of Wheat in Maharashtra and evaluated that lack of knowledge, high
cost of seed, non availability of proper seed and fertilizer, fear of poor germination,
late harvesting of kharif crop have been major constrain in adoption of Wheat
production technology. He suggested that by making available the irrigation,
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positive price policy help to improvise the area and productivity of Wheat.
Demand-supply gap can be bridge up by increasing the adoption of improved
technology by expanding activates of KVKs, farmers scientist forum, RECs, DECs
and through extension work of department of agriculture.
Srivasrava et al., (2003) studied the influence of age and literacy level
of farmers on adoption of mint based crop rotations in the Indo-Gangetic plains has
suggested that educational status of the farmers was also found to be an important
factor in the adoption of improved cultural practices and high yielding varieties.
Anonymous (1995) study on constrains in cultivation of major crops
on tribal farm in Dhule district show that the lack of awareness regarding improved
varities, seed treatment, use of fertilizer to a greater extent in case of both the crops
viz, Paddy and rabi Jowar . The poor economic condition, high cost of certain
input like FYM, fertilizer and insecticide and pesticide were major constrains
pointed out by farmer in adoption of improved technology in area under study.
11. Programme of research work:
Sr.no. Work to be done Date
1. Review of literature August, 2013
2. Formulation and Testing of questionnaire Sept, 2013
3. Selection of sample and collection of data Oct-Nov, 2013
4. Compilation and analysis of data Jan, 2014
5. Interpretation of results and completion of thesis Feb-April, 2014
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12. Methodology:-
Selection of area
Nashik district is selected purposively for the present study. The
list of villages having maximum area under wheat will be prepared and arranged in
ascending order, the two tahsil will be selected having maximum area under wheat
from each tahsil then, five villages will be selected randomly thus, in all total
sample comprised of 90 sample cultivators spread over study area.The selected 90
sample farmers will be classified as small (up to 0.40 ha), medium (0.41 to 0.80
ha) and large (0.8 and above ha.).
Adoption technology
Adoption of Technology refers to actual practices adopted by
farmers for the cultivation of Wheat. The information on practices adopted by the
selected farmers will be collected.
Recommended technology
The term recommended technology refers to the cultivationpractices recommended by MPKV, Rahuri for Wheat crop. The university has
made recommendations about soil type, varieties, tillage practices, spacing, seed
rate, time of sowing, level of fertilizer, intercultural practices, irrigation etc. for
Wheat crop.
The recommended technology developed by MPKV, Rahuri for Wheat
Sr.No
Technology Recommendation
1 Type of soilwell drain deep black soil
2 Number of ploughingOne ploughing in two year is sufficient
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3 Number of harrowingAfter one ploughing two cross harrowing
4 Manures (CL/ha)20-25 CL FYM before ploughing
5 Nitrogen(kg/ha)120 kg nitrogen in split doses
6 Phosphorus(kg/ha) 60 kg phosphorus after first weeding
7 Potassium40 kg potassium after first wedding
8 Seed rate(kg/ha)
For drilling 120-125 kg seed is sufficient for optimum
plant population
9 VarietyNIPHAD 34(late) , NIAW-301 (Trambak) NIAW
(Tapowan), NIAW 295 (Godawari)
10 Time of sowing 15 October-15 November
( Krishidarshani 2011-12 MPKV, Rahuri)
Analytical Techniques:
As per the components of recommended technology for Wheat the level of
technology adopted by farmers will be assessed. The adoption score will be
developed for those components, whose value could not be measured in terms of
unit. Adoption index for each technology will developed.
Extent of adoption of technology
Actual level of adoption of each item of technology on farmers field willidentified using recommended technology developed by MPKV, Rahuri and
efficiency of each technology will be calculated with the help of following
formula.
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Practices actually adopted
Adoption of particular practices = ------------------------------------
Practices recommended
Methods used for estimating Adoption index:
The adoption index of ith
technology:
TAIJ= (ATIJ/Rti)
Where,
TAij = Adoption index of Ith
component for the jth
object
ATij = ith
component technology level adopted by jth
farmer
Rti = The recommended level of ith
component
Technology wise extent of adoption
Sr.No.
Practices Extent of adoption
1 PloughingNo. of ploughing actually done
EA = ----------------------------------------
Recommended ploughing
2 HarrowingNo. of harrowing actually done
EA = ---------------------------------------
Recommended harrowing
3 Farm yard manureQty. of FYM applied
EA = ---------------------------------------
Recommended FYM
4 Fertilizer
Nutrient applied by cultivator (N&P)
EA = --------------------------------------------Recommended nutrients
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5 Seed rateSeed rate used by cultivator
EA = ---------------------------------------
Recommended seed rate
6 Time of sowingNo. of days delayed for sowing
EA = -----------------------------------------
Recommended time for sowing
7Intercultural
operation
No. of weeding actually done
EA = ---------------------------------------
Recommended weeding
Composite index of adoption:
Composite index will be develop to study the extent of adoption of
technology by farmers. The index developed is as follows:
PTAj = (WiTAij)/100
Where,
PTAj = the composite adoption index package by jth
farmer
Wi = the weight assigned to ith
technology component
TAij = Adoption index of ith
component of technology adopted jth
farmer
After estimating the composite index of adoption of technology by
the farmers, then the farmers will stratified into three groups viz., low, medium and
high having up to 0.30, 0.31, to 0.50 and 0.50 and above composite adoption index
respectively. After estimating composite index, for estimating the effect of
composite index on yield.
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Functional Analysis:
Cobb-Douglas production function
Y=axn
In linear form
Logy=Loga+nLogx
Where,
Y=yield of Wheat /ha in qtl
x=input (composite index)
a =Efficiency parameter
n =Efficiency of parameter with respect to x
Economics of production
Economics of production of Wheat will be worked out on the basis of
different level of technologies by using standard cost concept.
Cost A
It is also called as paid out cost; this cost approximates the expenditure
incurred by the farmer in cash and kind in the cultivation of crop and includes the
following items. Hired human labour ,Owned and hired bullock labour ,Seeds,
manures ,fertilizers, Plant protection measures, machineries charges, Land revenue
and other cases, interest on working capital, Deprecation on implements and
machinery, Repairs of machineries and irrigation charges .
Cost B
It includes cost A plus imputed rental value of owned land and interest on fixed
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capital.
Cost C
It includes cost B plus imputed value of family human labour-the cost C represents
the total cost of production.
Factor share analysis:
For estimating the contribution of each factor in yield, the multiple linear
regression analysis was carried out by using the following equation.
Y= a + b1x1 + b2x2 + b3x3 + b4x4 + b5x5 + b6x6 + b7x7 + b8x8 + b9x9 + U
Where,Y = Yield per hectare (dependent variable)
a = Constant
bi = Regression coefficient
x1 = Type of soil
x2 = Number of ploughing
x3 = Number of harrowings
x4 = Sowing time
x5 = Seed rate
x6 = Manures Cl/ha
x7 = Nitrogen kg/ha
x8 = Phosphorus kg/ha
x9 = Interculture operation
After fitting the multiple linear equation per cent contribution was estimated
by the following formula. Same values of it will used as weight for estimating
composite adoption index.
Per cent contribution = Bi x R2
Where,
Bi = Standard partial regression coefficient of ith
independent variablesR
2= Multiple correlation coefficient
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9. Factor affecting level of adoption
Factor affecting adoption of Wheat production technology will be
calculated by multiple regression analysis.
Y = a + b1x1 + b2x2 + b3x3 + b4x4 + b5x5 + b6x6
Where,
Y = Adoption (percentage)
x1 = Age of Wheat grower
x2 = Education (year to schooling)
x3 = Area under Wheat cultivation (%)
x4 = Size of holding (ha)
x5 = Irrigated areas (ha)
x6 = Cropping intensity (%)
x1 to x6 = Independent variables
a = Constant
b1 to b6 = Regression coefficient
The dependent variable in the above equation will calculated with the
help of following formula.
eiwi
Adoption index = ---------------------- x 100
WxN
ei = Expenditure incurred on particular practices in Rs.
wi = Weightage of particular practices
W = Summation of weightage of all practices
N = Summation of expenditure for all practices as per recommendation
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13. References (Literature cited)
Anonymous, (1995) A study on constrain in output in adoption of recommended
crop production of pigeonpea, agresco report.
Anonymous (2007) Research review committee report, Department of Economics,
MPKV, Rahuri pp. 39
Dubey, A.K. and Srivastava J.P. (2007) Effect of Training Programmed on
Knowledge and Adoption Behavior of Farmers on Wheat Production
Technologies Indian Res. J. Ext. Edu. 7 (2&3) : 41
Gaonkar, R. 2000. Technology adoption and agril. productivity. A case study
Indian J. Agric. Res., 55 (3) : 551
Joshi,G. G . (2008) determinants of acerage response and production constrain of
Wheat in Maharashtra. A thesis submitted to MPKV, Rahuri,
Maharashtra
Hugar, L.V., K.B. Umesh and S. Suryaprakash, 1992. Extent of adoption of new
technology in different crops. Agril. Situation in India. 64:15-19
Matuschke, I., Mishra, R. R. & Qaim, M. (2007). Adoption and Impact of Hybrid
Wheat in India. World Development, 35,1422-1435
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Rajesh, R. and S. Varadarajan, (2000). Constraints in diffusion at new farm
technology in dry farming region. Indian J. Agril. Econ. 35(3):563-564
Srivasrava RK, Singh AK, Kalra A, Tomar VK-S, Bansal RP, Sushil-Kumar
(2003). Influence of age and literacy level of farmers on adoption of
mint based crop rotations in the Indo-Gangetic plains. (Central Institute
of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow - 226 015,
India.) Journal-of-Medicinal-and-Aromatic-Plant-Sci., 25(3): 689-697
Vidya Sagar, 1975. Contribution of individual technological factor in Agril
Growth. A case study of Rajasthan. Economics and political
weekly.A63-A67
14. Facilities required and their availability
All required facilities like computer for analysis, journals and periodicals for
references available at section of Agricultural Economics and central library of
College of Agriculture, Kolhapur will be used.
15. Place of research work
The research work will be conducted at the Section of Agricultural
Economics College of Agriculture, Kolhapur.
Place: Kolhapur Signature of StudentDate : 19 /06/2013 ( DONDE J. P.)
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PROPOSED BY THE STUDENT ADVISORY COMMITTEE
Name Signature
1.Chairman : Dr. R. R. Suryawanshi. Professor of Agril, Economics
College of Agriculture, Kolhapur.
2.Member : Prof. B. B. GawadeAssistant Professor of Agril, Economics
College of Agriculture, Kolhapur.
3.Member : Prof. M. R.Shewale
Assistant Professor of Statistics and MathematicsCollege of Agriculture, Kolhapur.
4.Member : Prof. A. B. Mohite
Assistant Professor of Agr onomy.
College of Agriculture, Kolhapur.
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Recommended by:
Professor of Agricultural Economics,
College of Agriculture,
Kolhapur.
This ORW has been approved by the Board of studies in Agril. Economics andStatistics in its 66
thmeeting held on 19-6-2013 at MPKV, Rahuri.
Head,
Department of Agricultural Economics,
MPKV, Rahuri
Approved by : Associate DeanCollege of Agriculture, Kolhapur.