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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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2003 - 20073
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Subject: Genetics × End date: 2007 × Start date: 2003 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Cytogenetic studies on induced mutants of cotton (Gossypium spp.)
    (College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 2003) Usha; Singh, K. P
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    ThesisItemOpen Access
    Phenotyping of CSR-10 X HBC-19 RILs in rice
    (CCSHAU, 2006) Pummy Kumari; Ahuja, Uma
    The present investigation was undertaken to characterize 231 recombinant inbred lines (F7) from a cross of CSR-10 X HBC-19 for agronomic and grain quality traits. RILs were grown in augmented design at experimental area of CCS HAU Rice Research Station, Kaul during kharif season of 2004-05. Data was recorded on various morphological traits as plant height, tillers per plant, grain yield per plant, 1000-grain weight and quality traits as hull colour, grain colour, hulling and milling percentage, raw grain dimensions, cooked grain dimensions, aroma, alkali value and amylose content. Data was analyzed for correlation coefficient and regression analysis to estimate the levels of variation and association among agronomic and grain quality traits. RILs of F7 population showed large variation for all the agronomic and grain quality traits. High genotypic (GCV) and phenotypic (PCV) coefficient of variation were observed for maximum number of traits except thickness of raw grain and hulling percentage. GCV occupied major extent of PCV. Correlation coefficient revealed that yield per plant was associated with 1000-grain weight and plant height but not with grain quality traits, indicating that yield can be combined with grain quality. However, a balance has to be maintained as 1000-grain weight showed negative association with grain quality traits. In addition to parental hull colours, different colours as light brown, dark brown, red and yellowish green were observed. Similarly, in addition to parental creamish grains, various colours as light brown, green, medium red and reddish brown were observed. Mildly aromatic entries were observed in addition to highly aromatic, non-aromatic parents and RILs. Frequency distinbution indicated transgressive variation indicating polygenic control for all traits. High variability observed for all agronomic traits and hull colour, grain colour, hulling and milling percentage, length of raw grain, length: breadth ratio and elongation ratio make these RILs ideal population for linkage studies and molecular marker analysis.
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    ThesisItemOpen Access
    Molecular profiling of mungbean genotypes vigna radiata (L.) wilczek using RAPD analysis
    (CCSHAU, 2007) Madhu; Subhadra Singh
    A study on 39 genotypes of mungbean representing a cross-section of variability was undertaken to assess RAPD polymorphism and to estimate the matrix of Jaccard’s similarity coefficient. A total of 411 amplified products comprising 382 (92.9%) polymorphic and 29 (7.1%) monomorphics markers were observed using 30 RAPD primers. The number of bands generated per primer ranged from 7 to 20 bands with a mean of 13.7 bands per primer. The primers showed a large variation in the frequency of polymorphic bands (0.026 - 0.974) and in number of banding patterns (3 – 35). Efficiency of primers were analyzed using Discrimination power (D), Diversity index (DI), Resolving power (Rp) and Marker index (MI). All efficiency parameters except DI could identify most efficient (S-1 and S-2) and the least efficient (S-30) primers. Both discrimination power (D) and resolving power (Rp) parameters appear to be good measure of the usefulness of primers to identify cultivars. The experimental results obtained for real efficiency of the primer agreed well with that of theoretical expectation based on independent hydpothesis of primers. Genetic similarity coefficient ranged from 40.8 per cent to 90.3 per cent indicating moderate level of genetic variability among genotypes. Some of the genotypes such as K 851, Pusa Ratna, MH 98-1, Asha, MH 96-1 Muskan, Koppergaon, K 851, Pusa Baishakhi, ML 1108, PDM 262, ML 682, Pusa 9072 and ML 818 exhibited higher genetic similarity with rest of the genotypes. ML 131 was the most diverse genotype. Other genotypes namely ML1349, Pant M-4, Greengram Co-5, SML 32, UP 99-3, ML 1333, UPM-98 also exhibited higher diversity. The dendrogram constructed from Jaccard’s similarity coefficient showed three main groups. The group A consists of 26 genotypes while group B and C consist of three and two genotypes only. The mungbean genotypes evolved at PAU, Ludhiana (Punjab) and in Uttar Pradesh were comparatively more diverse among themselves than the group of genotypes from Hisar (Haryana) and IARI (Delhi). The grouping of some genotypes corresponded with their pedigree information but failed in other cases. The same was true with the geographical origin vis-à-vis grouping of genotypes. Mantel’s test between the cophenetic matrix and the original matrix (z=r=0.923) revealed a good fit of cluster analysis performed. The pattern of grouping in cluster analysis was also reflected in Principal Coordinate Analysis (PCoA) with minor differences. The three coordinate PCoA could account 73.68 per cent of total variability in RAPD markers. The high level of RAPD polymorphism observed in mungbean may be useful for variety protection and monitoring the genetic diversity.