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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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Subject: Plant Breeding × End date: 2019 × Start date: 2012 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Genetic divergence and path analysis for yield and its component traits in rice
    (CCSHAU, 2012) Pandya, Tushar; Sarial, A. K.
    Forty-nine rice genotypes belonging to different maturity group and genetic background (basmati, non-basmati and hybrids) were evaluated in RBD with three replications at the experimental farm of the Rice Research Station, CCS Haryana Agricultural University, Kaul during the kharifseason of 2010 for variability, genetic divergence, correlation and path coefficient analysis. The plot size was kept at 1.5 x 0.2 x 3 sq m. The data were recorded on 5 randomly selected plants per genotype per replication for 15 traits viz., grain yield (GY), days to flowering (DTF),days to maturity(DTM), plant height (PHT), effective tillers per plant (T/PT), panicle length (PLTH), panicle weight (PWT), number of spikelets per panicle (S/PAN), per cent filled spikelets (FSPK), test weight (TWT), biological yield per plant (BYD), harvest index(HI), hulling per cent (H%), milling per cent (M%) and head rice recovery (HRR). The analysis of variance revealed significant differences among the genotypes for all the characters. The results revealed that the PCV and GCV were higher for GY, PW and HI and moderate for S/PAN, B. YD, P HT, FSPK and TWT.Heritability estimates were high for DTF, P HT, P WT, S/PAN, FSPK, TWT, HI and H% while moderate for DTM, P LTH, BYD and GY. High heritability with high genetic advance was observed for PH and S/PAN while high heritability with moderate genetic advance forFSPK and HI. The correlation coefficient analysis indicated that grain yield was positively and significantly associated with PWT, S/PAN, FSPK, TWT, BYD, HI, H%, M% and HRR.PWT had the highest indirect effect via HI (0.656) and by its direct effect (0.168) contributed maximum towards grain yield. The genetic dissimilarity measurement using generalized Mahalanobis distances (D2) indicated that the genotypes with greater dissimilarity were HKR-07-36 and Pusa Basmati-1. The D2values ranged from 5.04 to 959.43. The genotypes were grouped into 6 clusters. Cluster V was the largest cluster comprised of 12 genotypes followed by Cluster II with 11 genotypes. The intra-cluster distances ranged from 9.29 (Cluster III) to 3.51 (Cluster II). Character-wise PH with 32.31% contribution had maximum share to the total divergence.Based on inter-cluster distance the most divergent clusters were III and VI followed by Clusters II and III and Clusters I and III suggesting wide diversity between them. Accordingly based on inter cluster distances the following genotypes were identified those could be hybridized for further improvement for grain yield IR-79584 x HKR 06-34, IR 76939 x HKR 04-487; for HI- HKR 06-47 X HKR 06-34; for maturity- HKR 06-47 X PUSA BASMATI-1; for TWT- HKR 06-47 x HKR-06-34 and for HRR- IR 79089 x HKR-04-487. The results obtained thus have great relevance to the future breeding programme
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    ThesisItemOpen Access
    Variability, correlations and stability analysis for grain yield and related traits in bread wheat
    (CCSHAU, 2012) Surya Kant; Lamba, R.A.S.
    The present study was carried out with the objectives of accessing the genetic variability, estimating the association between grain yield and its component traits and among themselves and finding out the stability of different genotypes. The material consisting of 42 diverse genotypes of bread wheat was grown in randomized block design with three replications in four environments created through manipulation of sowing dates during rabi season 2007-2008 at Hisar as well as Bawal locations. Significant differences were observed among genotypes for all the traits under all the four environments. Genotypes, WH 711, DBW 17, PBW343, UP2338, WH542, HD2687, PBW550 and WH416 have been found promising for grain yield in all the environments. However, genotypes, WH 1046, WH 1074, WH 1053, WH1070, WH 283, PBW550 were early in days to maturity in all the environments. The grain yield per plant showed positive and significant correlation with effective tillers per plant, number of grains per ear, 1000 grain weight and biological yield per plant however, it showed negative significant correlation with plant height in one or more environments. The path coefficient analysis revealed that biological yield per plant in the major contributor towards the grain yield per plant. The stability analysis indicated that both linear and non-linear components contributed to total GxE interaction for all the characters. Genotypes WH711, DBW17, PBW343, UP2338, HD2687, WH416 and WH283 were found stable for grain yield in all the different environments. It is suggested that these varieties can be used for developing desirable breeding material with better stability.