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Regression Analysis of Adoption Behaviour of Trained and General Farmers in Some Adopted Villages of KVK System of Adilabad

The Indian Council of Agricultural Research has a well-established frontline extension system in the form of Krishi Vigyan Kendras for effective dissemination of new technologies for the benefit of farmers in the country. Krishi Vigyan Kendras (KVK) is the district level farm science institutes for speedy transfer of technology to the farmer’s fields. Krishi Vigyan Kendras aim to reduce the time lag between generation of technology at the research institutions/university and its transfer to the farmer’s fields for increasing productivity and income from the agriculture and allied sectors on a sustained basis. It is, therefore, also called as a frontline transfer of technology or frontline extension system in the country. The agricultural technology is transferred through imparting vocational training programs conducted to the farmers, farm-women, rural youths and grass-root level extension workers in broad-based agricultural production.


Introduction
The Indian Council of Agricultural Research has a well-established frontline extension system in the form of Krishi Vigyan Kendras for effective dissemination of new technologies for the benefit of farmers in the country. Krishi Vigyan Kendras (KVK) is the district level farm science institutes for speedy transfer of technology to the farmer's fields. Krishi Vigyan Kendras aim to reduce the time lag between generation of technology at the research institutions/university and its transfer to the farmer's fields for increasing productivity and income from the agriculture and allied sectors on a sustained basis. It is, therefore, also called as a frontline transfer of technology or frontline extension system in the country. The agricultural technology is transferred through imparting vocational training programs conducted to the farmers, farm-women, rural youths and grass-root level extension workers in broad-based agricultural production.
The emphasis is given to provide critical skills so that the participants may confidently use on their farms to increase agricultural Krishi Vigyan Kendra (KVK) is an Institutional Project of the Indian Council of Agricultural Research (ICAR) to demonstrate the "Application" of Science and Technology input of agricultural research and education on the farmers field and in the rural area with the help of a multi-disciplinary team of scientists. This study has been conducted during Sep'2015to Dec. 2015 at Adilabad block of Adilabad district in Telangana. Simple random sampling technique was followed for the selection of respondents. Forty trained and forty general farmers were selected randomly from the areas of four Gram panchayats and Adilabad municipal corporation areas. The statistical tool Multiple Regression Analysis was used. From the study it is clear that income, holding size, social participation, production orientation, extension contact, attitude towards improved practices have profound effect on adoption of scientific farm innovations in case of general farmers. productivity and also become economically self-reliant through gainful self-employment.
The trainings offered in KVKs follow the principles of "Learning by doing" and "seeing is believing". The first KVK, on a pilot basis, was established in 1974 at Pondicherry under the administrative control of Tamil Nadu Agricultural University, Coimbatore on the basis of recommendation made by a committee constituted by ICAR, New Delhi, under the chairmanship of Dr. Mohan Singh Mehta (1973). In this context this study has been conducted with the objective of Regression analysis of adoption behaviour of trained and general farmers in some adopted villages of KVK system.

Materials and Methods
This study was conducted in the district of Adilabad, Telangana during 2015 to 2016. On the basis of my objectives of the study, this district has been selected purposively. The study was conducted at the Adilabad block of Adilabad district. This block was purposively selected, because this block comes under the lateritic belt of the district and it is not so agriculturally developed like other blocks of the district. The area is easily accessible to the investigator. These lead to purposively selection of this block. This block consists of twenty-three gram panchayats and Adilabad Municipal Corporation area. Four gram panchayats namely Mavala, Pochera, Jamdapur, Rampur and Adilabad municipal corporation area were selected purposively as per recommendation of agricultural development officer of the block. Simple random sampling technique was followed for the selection of respondents. Forty trained and forty general farmers were selected randomly from the areas of four Gram panchayats and Adilabad municipal corporation areas. The statistical method Multiple Regression Analysis was used.

Results and Discussion
The regression analysis of trained farmers and general farmers are presented by B-values (un-standardised partial regression coefficients), standard errors of unstandardised partial regression coefficients, βvalues (standardised partial regression coefficients), the coefficients of multiple regression determination (R 2 ) and the corresponding F-values.
From table-1 it is clear that education, occupation, income, family type, holding size, social participation, attitude towards improved farm practices have substantial effect on adoption of farm innovations by trained farmers. The same result was found by Obasi et al., (1994). (2010). The R 2 value is found 0.308 that is all casual variables put together, the amount of variation in the consequent variable has been the tune of 30.80% and its F-value is 0.638 which is significant in both 5% and 1% level of significance with 39 degree of freedom. So the unexplained part remains 69.20%.
From the above study it is concluded that education, occupation, income, family type, holding size, social participation, attitude towards improved farm practices have substantial effect on adoption of farm innovations by trained farmers.
In case of general farmers income, holding size, social participation, production orientation, extension contact, attitude towards improved practices have profound effect on adoption of scientific farm innovations. The variable of income explains the highest variation (.650) value so it indicates that income contribution plays important role for the adoption of farm innovations in case of general farmers. The findings of this study provide valuable information to all public and private extension agents, researchers and policy makers to orient their efforts for greater diffusion and adoption of practices on a large scale.