Genetic diversity analysis for heat tolerance in wheat [Triticum aestivum L. em. Thell]
| dc.contributor.advisor | Panwar, I.S. | |
| dc.contributor.author | Neeru | |
| dc.date.accessioned | 2017-12-14T04:32:11Z | |
| dc.date.available | 2017-12-14T04:32:11Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The present investigation entitled Genetic Diversity Analysis for Heat Tolerance in Wheat (Triticum aestivum L. em. Thell)” was conducted on 592 accessions of wheat during 2014-15 at IIWBR, Karnal and on sixty genotypes of wheat during 2016-17 to evaluate genetic variability, character association and genetic divergence for the identification of most diverse and promising genotypes. Observations were recorded on various morphological and physiological characters. A considerable amount of genetic variability was observed among all the genotypes for all the characters under study. From principal component analysis (PCA) the first six components account for more than 65% of the total variance among the germplasm were found. Grain yield per meter and effective tillers per meter showed moderate value of PCV and GCV under both timely and late sown condition. Above mentioned traits also showed high heritability coupled with high genetic advance. Grain yield showed positive and significant correlation with effective tillers per meter, canopy temperature under timely sown and with days to anthesis, plant height, effective tillers per meter, canopy temperature and grain weight under late sown condition. Path analysis revealed that effective tillers per meter had highest positive direct effect on grain yield followed by days to anthesis, grain weight, canopy temperature and chlorophyll fluorescence under both the conditions. D2 analysis grouped 60 genotypes into7 clusters for both timely and late sown conditions. Cluster IV and VII under timely cluster I and VI under late sown condition exhibited maximum inter cluster distance. Therefore, genotypes in these clusters may be used to produce the superior progenies and transgressive segregants. The NTSYS-PC UPGMA cluster tree as well as two and three dimensional PCA analysis led to the grouping of 30 genotypes into two groups at similarity index of 0.67. The group I was very large and include 29 genotypes while group II includes only one genotype (ATLAS 66) which indicates that this genotype was highly diverged with respect to other genotypes. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810037513 | |
| dc.keywords | Genetic variability, Correlation, Heritability, Genetic advance, Cluster, Wheat | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | CCSHAU | en_US |
| dc.sub | Genetics and Plant Breeding | en_US |
| dc.subject | null | en_US |
| dc.theme | Genetic diversity analysis for heat tolerance in wheat [Triticum aestivum L. em. Thell] | en_US |
| dc.these.type | Ph.D | en_US |
| dc.title | Genetic diversity analysis for heat tolerance in wheat [Triticum aestivum L. em. Thell] | en_US |
| dc.type | Thesis | en_US |