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Vol. 11, Issue 11 (2022)

Genetic variability, correlation, path coefficient and cluster analysis in bread wheat (Triticum aestivum L.) under rainfed conditions

Author(s):
Sugandh Chauhan, Sunil Dutt Tyagi, Anuj Gupta and Satpal Singh
Abstract:
A study was undertaken to estimate the genetic variability, correlation, path coefficient and genetic diversity in 40 bread wheat genotypes under rainfed condition grown in randomized block design with three replications at Kisan (PG) College, Simbhaoli during rabi season 2021-22. The analysis of variance showed highly significant differences among the genotypes for all the characters. The highest estimates of the phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed for grain yield/plant, tillers/plant and biological yield/plant. Grain yield/plant, biological yield/plant and harvest index showed high heritability coupled with high genetic advance as percent of mean indicating the influence of additive gene effects. Biological yield/plant, harvest index showed positive and significant correlation with grain yield/plant and exerted positive and high direct effect on grain yield/plant. D2 analysis grouped the 40 genotypes into six clusters. The maximum inter cluster distance was observed between cluster V and VI. Hence, the genotypes belonging to cluster V and VI can be utilized in crop improvement programmes and for the development of high yielding varieties under rainfed conditions.
Pages: 818-823  |  319 Views  203 Downloads


The Pharma Innovation Journal
How to cite this article:
Sugandh Chauhan, Sunil Dutt Tyagi, Anuj Gupta, Satpal Singh. Genetic variability, correlation, path coefficient and cluster analysis in bread wheat (Triticum aestivum L.) under rainfed conditions. Pharma Innovation 2022;11(11):818-823.

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