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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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2005 - 20062
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Subject: Statistics × Author: Suman Kumar × Start date: 1981 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Evaluation of fertilizer yield response models
    (CCSHAU, 2006) Suman Kumar; Rajendra Singh
    Judicious use of fertilizer form one of the most important means of stepping up agricultural production. For many cropping situation, especially in developing countries some models do not fit the responses of certain crops to fertilizer. Performance of quadratic, square root, inverse quadratic and modified quadratic response functions have been examined on major food crops grown in Haryana. Based on R2 criterion, inverse quadratic model gives better fit to Pearlmillet crop, where as quadratic function describes the yield-fertilizer relationship in Rice crop. It has been observed that a modified quadratic function is better suited when data shows initial sharp rise at lower levels of fertilizer application. Fertilizer yield data of wheat is often available of many varieties and/or for a numbers of years. Dummy variables have used for combining data for different varieties and over years and for testing structural stability of quadratic response function for three varieties; HD2329,WH542 and WH533 of wheat crop grown in Haryana. Models for individuals varieties have also been deduced from the pooled regression. A comparative study of quadratic, square root, inverse bilinear, and cobb-douglas response models used for the two nutrients experiment. The canonical form is also performed for quadratic and square root models. The characteristic roots of real symmetric matrix of estimates are measured for the coefficients of quadratic and interaction terms. Based on characteristic roots and R2, square root model give better fit for wheat crop.
  • Thumbnail Image
    ThesisItemOpen Access
    Evaluation of fertilizer yield response models
    (CCSHAU, 2005) Suman Kumar; Rajendra Singh
    Judicious use of fertilizer form one of the most important means of stepping up agricultural production. For many cropping situation, especially in developing countries some models do not fit the responses of certain crops to fertilizer. v Performance of quadratic, square root, inverse quadratic and modified quadratic response functions have been examined on major food crops grown in Haryana. Based on R2 criterion, inverse quadratic model gives better fit to Pearlmillet crop, where as quadratic function describes the yield-fertilizer relationship in Rice crop. It has been observed that a modified quadratic function is better suited when data shows initial sharp rise at lower levels of fertilizer application. Fertilizer yield data of wheat is often available of many varieties and/or for a numbers of years. Dummy variables have used for combining data for different varieties and over years and for testing structural stability of quadratic response function for three varieties; HD2329,WH542 and WH533 of wheat crop grown in Haryana. Models for individuals varieties have also been deduced from the pooled regression. A comparative study of quadratic, square root, inverse bilinear, and cobb-douglas response models used for the two nutrients experiment. The canonical form is also performed for quadratic and square root models. The characteristic roots of real symmetric matrix of estimates are measured for the coefficients of quadratic and interaction terms. Based on characteristic roots and R2, square root model give better fit for wheat crop.