Thumbnail Image

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.

Browse

2014 - 20182
Reset filters
Subject: Genetics and Plant Breeding × Author: Preeti × Start date: 2012 × Type: Thesis ×
Reset filters

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    ThesisItemOpen Access
    Genetic diversity and effects of selective intermating on genetic variability in bread wheat (Triticum aestivum L. em. Thell)
    (CCSHAU, 2018) Preeti; Panwar, I.S.
    The present investigation “Genetic diversity and effects of selective intermating on genetic variability in bread wheat (Triticum aestivum L. em. Thell)” was conducted to evaluate 75 bread wheat genotypes to assess magnitude of genetic diversity among wheat germplasm lines for grain yield, its components and quality traits. The character association for yield and quality traits was also studied. Analysis of variance revealed considerable amount of variability among genotypes for most of the characters under study. Sedimentation value followed by grain yield per plot, and harvest index exhibited high GCV. The differences between GCV and PCV values were minimum for most of characters which show least environmental influence. Heritability estimates were high for all the characters except plant height (cm), number of effective tillers per meter, number of grains per ear, biological yield per plot(g), harvest index (%). Sedimentation value (ml) followed by grain yield per plot (g) exhibited high genetic advance as per cent of mean alongwith high heritability estimates. The grain yield per plot showed significant and positive correlation with number of effective tillers per meter, number of grains per ear, 1000-grain weight, biological yield per plot and harvest index and significant negative correlation with canopy temperature (post-anthesis 7 and post-anthesis 21 days) in normal as well as heat stress environment. Harvest index, biological yield per plot (g), effective tillers per meter in both normal and heat stress environment had positive direct effect on grain yield. So, direct selection for these traits will be effective to increase the grain yield. On the basis of Euclidean cluster analysis, 75 genotypes were grouped into 9 clusters in both the environments, which indicated the presence of considerable amount of genetic diversity among the genotypes studied. Cluster II and cluster IX showed maximum genetic divergence in both the environments and also having higher mean values for important yield traits and thus involving genotypes of cluster II and cluster IX in hydbridization programme is advocated in order to achieve high yielding segregants. Second experiment aimed at comparing the variability under different systems of selective intermating. On comparison of the selective intermated populations and F2 populations of two crosses Cross I (WH542/WH1080) and Cross II (WH1105/RAJ3765//WH283) the higher mean values were obtained in all selected intermated populations SIM-I, SIM-II and SIM-III in order and wider range values for genetic variability in SIM-III compared to F2 populations of two crosses for most of the characters studied which might be due to additional variability released by selective intermating accumulating favourable genes. The efficiency of intermating over F2 was witnessed in this investigation in terms of days to heading, number of tillers per plant, number of grains per ear,1000 grain weight (g), biological yield per plant (g) and grain yield per plant (g) and other yield related traits. The wider range accompanied by a higher values of mean, phenotypic coefficient of variation, heritability and genetic advance as percentage of mean for biological yield per plant(g) and grain yield per plant(g) in selective intermated populations provides opportunity for further selection in intermated populations for further yield improvement in bread wheat.
  • Thumbnail Image
    ThesisItemOpen Access
    Variability and stability analysis for grain yield and its component traits in bread wheat
    (CCSHAU, 2014) Preeti; Panwar, I.S.
    The objectives of present investigation were to determine the genetic variability, estimation of association between grain yield and its component traits and among themselves, finding out the stability of 42 genotypes under four environments with different sowing dates and fertility levels and genetic diversity analysis among wheat genotypes using ISSR markers. Significant differences were observed among genotypes for all the traits under all the four environments. Genotypes WH1105, WH1142, HD2967, DBW17, WH542, PBW343, DPW 621-50, PBW550 and WH1135 have been found promising for grain yield under favourable environment. Grain yield per plant showed highly significantly and positive phenotypic correlation with days to heading, days to maturity, plant height, effective tillers per plant, number of grains per ear, biological yield, harvest index, protein content. The path coefficient analysis revealed that Biological yield per plant registered the highest direct and positive effects on grain yield per plant followed by harvest index, number of grains per ear, days to heading and plant height. The stability analysis indicated that both linear and non-linear components contributed to total GxE interaction for all the characters. Genotypes WH147, WH711, WH1080 and WH1135 were found stable for grain yield in all the environments. However, genotypes WH1105, PBW550, WH1081, WH542, DBW17 and HD2967 were found sable for favourable environment It is suggested that these varieties can be used for developing desirable breeding material with better stability. The NTSYS-PC UPGMA cluster tree as well as two and three dimensional PCA analysis led to the grouping of 42 genotypes into two clusters at similarity index of 0.62. Cluster I was having 4 genotypes which were quite diverse from rest of the genotypes. Cluster II was further divided into five sub-clusters, PBW343 and PBW373 showed maximum similarity, supported further by their parentage.