Year: 2017 | Month: June | Volume 4 | Issue 1
Resource Use Efficiency of Major Field Crops in Reasi District of Jammu Region of Jammu and Kashmir State
Kamal Bharti
Anil Bhat
Jyoti Kachroo
Manish Sharma
Narinder Singh Raina
Sudhakar Dwivedi and S.P. Singh
DOI:10.5958/2394-8159.2017.00004.4
Abstract:
The present investigation conducted in the Reasi district of J&K state during the year 2015 has observed that the sample holding under study area comprise maize-wheat cropping system. By using Cobb-Douglas production function it is predicted that resource used in maize and wheat production like human labour, farmyard manure + fertilizer are underutilized indicating that there is further scope to increase their quantity which in turn will boost the returns. On the basis of regression analysis the value of regression coefficient of wheat for human labour, seed, FYM, urea, DAP and plant protection measures was 0.859, -0.321, 0.002, 0.067, 0.009 and 0.004 and for maize it was 0.522, -0.046, 0.095, 0.046, 0.016 and -0.015, respectively, which were found to be statistically significant. The positive sign indicated that one percent increase in the use of these inputs could increase the returns from crop. The negative sign shows that one percent additional expenditure on these inputs would reduce the return of crops. The marginal value productivity of farmyard manure and human labour of dry land wheat was positive and it was 0.312 and 1.231, respectively. This indicates that there still existed a scope to invest more on farmyard manure and human labour. The negative marginal value productivity estimated for seed at ` -5.150 showed that use of seed was more than optimum leading to fall in returns with each additional unit of this input. As far as maize is concerned, positive marginal value productivity of FYM, human labour, urea, DAP and pesticide indicates that there still existed a scope to invest more on these inputs. The negative marginal value productivity estimated for seed at ` -1.192 showed that use of seed was more than optimum leading to fall in returns with each additional unit of this input. The crop production function for wheat and maize with R2 value at 0.74 and 0.87, respectively was statistically significant meaning thereby that 74% of wheat and 87% of maize production of this area was being explained by the mentioned variables in the study.
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