Vol. 12, Issue 4 (2023)

Author(s):
Govind, Dr. Ramjee Gupta, Deepak Kumar, Praveen Sahu and Mukul Kumar

Abstract:
Production function analysis has been undertaken to measure the relative importance of different variables as influencing the total quantity of broiler produced. Before identifying the independent variables for the analysis, correlation was worked out. The data of the table indicate to the positive and negative correlation co-efficient which was found to be data either significant or non significant at 5 percent level of significance which is indicating to factors under consideration which has positive and negative influence on production. From the correlation matrix it was seen that the perfect positive correlation co-efficient (0.999999) was observed between meat production and number of chicks in the farm. To estimate the live weight production, step wise multiple regression analysis was carried out. The coefficient of multiple determination (R²) was 0.9886 which indicated that the four specified variables (X₁, X₂, X₆ and X₇) explained 99.00 percent of variation in kg of broiler produced and the remaining one percent of variation was unexplained which was taken as in the error term. The value of partial regression coefficient for the variable X₅ (Cost of electricity) was also effective (0.9677) and positive significant (p<0.05), thereby indicating excess use of this input. Though the electricity was over utilized it was necessary to minimize the rate of mortality during brooding period.