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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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  • ThesisItemOpen Access
    Resource use efficiency in major crops in the Shiwalik foothills of Haryana
    (CCSHAU, 2012) Gurnam Singh; Kuldeep Kumar
    Farming in Haryana is practiced in highly diverse agro-climatic conditions and agricultural ractices, types of inputs used etc. vary from region to region and from crop to crop. In modern agriculture, the capital intensive inputs are used which need more efficient use to lower down the cost of cultivation. The national approach in terms of agricultural development has been characterized by the collectively coupled objectives of increasing both production and productivity. Therefore, a study regarding input productivity and alternative ways to use them is highly significant. Thus, to get realistic picture on resource use efficiency, the problem must be analyzed at the individual crop level with micro level data. This study was undertaken to search out the best combination of agricultural enterprises to maximize incomes on farm by using the available resources and facilities efficiently in the study areas. Sadhaura block of Yamuna Nagar and Raipur Rani block of Panchkula District were selected purposively having largest area under maize, rice and wheat cropping pattern which comes under the Shivalik foothills of Haryana for the present study. Four villages from each block, two from plains and two from hilly area were randomly selected. Twenty five (25) farmers from each selected village were selected randomly for the purpose. In general all crops have showed that the regression coefficients for mechanical labour, human labour, seed expenditure, fertilizer, plant protection and irrigation were significant in both the districts. The sum of elasticities of production in paddy were 2.15, 1.30, 2.15 and 1.05; in maize were 1.08, 0.78, 1.55, 1.36, 0.57 and 0.58 and in wheat were 2.83, 0.28, 0.88, 3.15, 1.17 and 0.83 for both the districts, respectively which indicated that value having more than one showing increasing returns to scale and the value having less than one showing decreasing returns to scale is in operation. It is obvious that in plain and hilly areas of Yamunanager and Panchkula districts all the explanatory variables are having MVP more than arginal cost but keeping in view the higher ratio of MVP to OC in case of mechanical labour, human labour, fertilizer and irrigation more investment is to be made on these inputs. While other inputs having more than one ratio should be allocated additional investments to increase returns. The study indicated that even with the existing land resource, there is considerable scope for increasing the returns from farms by readjustment of resources. There is possibility to incur the additional investment in the inputs to achieve the calculated economic optima except seed expenditure in maize and fertilizer expenditure in Berseem crop. The analysis of the resource use efficiency of major crops in Yamuna Nagar and Panchkula districts of Haryana revealed high degree of resource use inefficiency of different magnitudes in different crops as indicated by MVP to OC ratio. Thus, there is scope to incur additional expenses on the critical inputs having more than one ratio of MVP to OC for increasing returns on the farms in the study area.