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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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2002 - 200912010 - 20131
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Author: Dharmveer × Start date: 2000 × Type: Thesis ×
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    ThesisItemOpen Access
    Studies On Flag Smut Of Wheat Caused By Urocystis Agropyri (Preuss) Schroet. And Its Effect On Physiological Parameters
    (Chaudhary Charan Singh Haryana Agricultural University;Hisar, 2002) Dharmveer; Panwar, M. S.
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    ThesisItemOpen Access
    Evaluation of mini core collection of sorghum (sorghum bicolor (L). Moench) for fodder yield and seed quality
    (CCSHAU, 2013) Dharmveer; Naresh kumar
    The present study was conducted on 104 forage sorghum genotype with two checks (HJ-541 and SSG- 59-3) grown in Augmented design-II during kharif 2012-2013 to evaluate, categorize and classify them and for computation of principal components to determine the relative importance of principal components and characters involved them. Observations were recorded on thirteen variables involving morphological and fodder yield attributes. The study revealed that on the basis of seedling anthocyanine colourtion of coleoptiles, the genotypes were divided into two groups: yellow green (Fifty eight genotypes) and grayed purple (forty eight genotypes). The lemma arista formation, genotypes were categorized into two groups each, forty genotypes had presence of lemma arista formation and remaining sixty six genotypes had absence of lemma arista formation. On the basis of panicle shape, genotypes were classified into five categories viz., symmetrical, panicle broader in upper part, panicle broader in lower part and pyramidal. Fifty one genotypes had symmetrical, thirty genotypes had panicle broader in lower part, ten genotypes had panicle broader in upper part and fifteen genotypes had pyramidal in their panicle shape. On the basis of panicle density, genotypes were classified into five categories viz., very loose, loose, semi loose and semi compact and compact. Seven genotypes had very loose, thirty two seven genotypes had loose, fifty one genotypes had semi loose, two genotypes had semi compact and seven genotype had compact panicle at maturity. On the basis of flag leaf yellow colouration of midrib, genotypes were classified into two categories viz., absence and presence of yellow colouration. Forty five genotypes had white midrib and remaining 61 genotypes had yellow green midrib colour. On the basis of 1000-grain weight, genotypes were classified into four categories viz., low, medium, high and very high. Thirty five genotype low (16-25 g), 59 had medium (26-35 g), six had high (36-45 g) and remaining two (IS- 608, IS- 995) had very high (>45 g) 1000-grain weight. Analysis of variance revealed substantial amount of variability for all the characters. Broad sense heritability, GCV, PCV, Correlation and path analysis were also carried out in these 104 genotypes. To know the relative importance and usefulness of variables and genotypes, principal component analysis was done which explained 89.46% variability through first five principal components. Data were further analyzed using principal factor analysis to offset the limitations of principal components analysis. All the variables exhibited high loading on different factors in such a manner that they could be designated as seedling vigour index, green fodder yield/plant factor and dry fodder yield/plant factor, etc. depending upon the type of variables loaded on a particular factor. Principal factor scores were obtained to know the performance of different genotypes in different factors that ascribe to a particular set of characters. Genotypes IS-4631, IS-12937, IS-20727, IS- 8012 and IS-473 were identified superior for both the characters (seedling vigour index and fodder yield) collectively and genotypes IS-473, IS-4631, IS-12937, IS- 8012 and IS-20727 were identified superior for both the characters (TSS content and fodder yield) collectively. These genotypes may prove better parents in hybridization programme when both the factors are to be considered together.