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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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20171
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Subject: Statistics × Author: Bhushan Kumar × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Biplots and their application in multi-environment trials data analysis
    (CCSHAU, 2017) Bhushan Kumar; Hooda, B.K.
    The present study was intended towards the general principle of construction of biplots and their use in analysis of genotype versus environment interactions data. Various types of biplots have been described for wheat yield data from five locations of Haryana and six locations of North India. The software UB biplot was used for construction of different types of biplots in general while GGEbiplotGUI software was used for solving different purposes in analysis of G×E data which specially analyze GE data. Principal component analysis, Multidimensional scaling and Nonlinear biplots were constructed to highlight methodologies used in construction of biplots. In particular, genotype plus genotype × environment interaction biplots were constructed to solve many of problems faced by breeder and agricultural scientists which generally use PCA biplot. Though, scientists and breeder exploit GE data in a number of modes in their breeding programs. Six types of GGE biplots indicating similarities-dissimilarities among genotypes, relationships among environments, evaluation of test environments, mega-environment analysis, evaluation of genotypes and ranking of genotypes were constructed by analysis of GE data.