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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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Author: Antim × End date: 2018 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Character associations and genetic diversity in bread wheat using molecular markers
    (CCSHAU, 2017) Antim; Punia, M.S.
    The present investigation entitled, “Character associations and genetic diversity in bread wheat using molecular markers” was conducted during rabi 2015-16 to evaluate 167 bread wheat genotypes in order to determine variability, heritability, genetic advance, correlation among the traits and path analysis along with genetic diversity analysis both at phenotypic and molecular level. The genotypes were also screened for yellow rust using modified Cobb’s scale. The experimental material was grown in Randomized Block Design (RBD) with three replications at Research Farm of Department of Genetics and Plant Breeding, CCS HAU, Hisar. All the genotypes showed enough genetic differences for fourteen characters, namely, days to heading, number of tiller per plant, flag leaf length (cm), flag leaf breadth (cm), flag leaf area (cm2), plant height (cm), ear length (cm), number of grains per ear, number of spikelets per ear, ear weight (g), 1000-grain weight (g), grain yield/ plant (g), biological yield/ plant (g) and harvest index (%).The maximum value of genotypic as well as phenotypic coefficients of variation was observed for grains per ear (17.16 %), (24.08), respectively. Number of tiller per plant, ear length, ear weight, grain yield per plant and biological per plant recorded high heritability along with high genetic advance which revealed the presence of additive gene effects indicating effectiveness of selection for these traits in wheat improvement. Number of tillers per plant, 1000-grain weight, ear weight, grain weight per ear, number of grains per ear, flag leaf area and ear length showed positive and significant correlation (both phenotypic and genotypic) with grain yield per plant. Nine traits showed direct effect towards grain yield per plant. Ward method based on Euclidean minimum distance divided 167 genotypes into twelve major clusters in such a way that genotypes within each cluster had smaller value than those between clusters. Highest intra-cluster distance was found in cluster IV (4.539) while Cluster II and cluster VIII showed maximum inter cluster distance (9.263). 167 genotypes were screened using modified Cobb’s Scale, out of which, 127 showed 0 % infection against yellow rust and maximum infection was observed in AL23, AL30 and PBW 343. Genotypes which showed 0% infection were resistant to yellow rust and could be utilized for breeding programme aimed toward disease resistance. Genetic diversity was studied at molecular level by using 29 SSR markers, out of which, 15 were found polymorphic, 4 were not amplified while ten were found monomorphic. Number of alleles ranged from 2-3 with an average of 2.47. PIC values of various SSR loci ranged from 0.131 (cfa 2164) to 0.673 (barc 146). Cluster tree analysis based on UPGMA following the software NTSYS PC led to grouping of 167 genotypes in 2 major clusters at 0.53 similarity index. Cluster I, which is biggest, comprised of 162 genotype while Cluster II comprised of only 5 genotypes. Precise information on the nature and degree of genetic variability and divergence present in studied wheat genotypes would help to select parents for evolving superior varieties.