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Vol. 12, Issue 9 (2023)

Genetic variability, correlation and path coefficient analysis for yield components and grain minerals in wheat (Triticum aestivum L.)

Author(s):
Rounak Kumar, Sudhir Kumar, CS Azad and Deepak Baranwal
Abstract:
The present study was undertaken to analyse genetic parameters like variability, heritability, genetic advance and correlation and path coefficient analysis among one hundred wheat genotypes. The field experiment was conducted during Rabi 2021-22 in alpha lattice design with two replications at Wheat section of Bihar Agricultural College, Sabour. The data were recorded on twelve characters namely days to 50% flowering, days to anthesis, days to physiological maturity, flag leaf area, plant height, spike length, peduncle length, number of grains per spike, 1000 grain weight and yield per plot. Analysis of variance revealed highly significant differences among tested 100 genotypes in respect of all the characters studied. High heritability coupled with high genetic advance over percent mean was observed for flag leaf area, peduncle length, grain per spike, 1000 grain weight and grain zinc content, suggesting that characters were governed by additive gene action yield per plot had a significant and positive phenotypic correlation coefficient with number of grains per spike, 1000 grain weight, flag leaf area, peduncle length. Maximum direct effect on yield was exhibited by days to anthesis followed by grains per spike, peduncle length, 1000-grain weight. Selection of wheat genotypes considering these characters would be beneficial to attain higher genetic gain in wheat breeding programme.
Pages: 1140-1144  |  260 Views  189 Downloads


The Pharma Innovation Journal
How to cite this article:
Rounak Kumar, Sudhir Kumar, CS Azad, Deepak Baranwal. Genetic variability, correlation and path coefficient analysis for yield components and grain minerals in wheat (Triticum aestivum L.). Pharma Innovation 2023;12(9):1140-1144.

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