Genetic Variability and Correlation Coefficient Analysis in Wheat Genotypes for Grain Yield and Its Contributing Traits under Drought and Irrigated Condition

Year 2023, Volume: 9 Issue: 2, 150 - 159, 01.08.2023

Parul Rana Om P. Bıshnoı Harsh Chaurasıa Rishi K. Behl

Abstract

Direct phenotypic selection in wheat improvement program requires preliminary knowledge of traits association degrees.
In this study, a field experiment was conducted on the wheat crop in two different conditions (irrigated and drought),
in order to determine the degree and direction of the association between grain yield and its attributing characters. The
experimental findings indicated that correlation coefficients showed a highly significant and positive association between
grain yield and harvest index followed by above ground biomass. However, other traits have a significant indirect impact
on grain yield through the harvest index and above ground biomass. According to this, choosing genotypes with higher
yields would be more effective if selection were based on these traits. The minimum yield reduction irrigated conditions
was observed for the genotypes WH1127, WH1164, WH1105, WH1080, IC498438, EC609554, and EC609575. In the
light of the fact that these genotypes have the higher yield potential under moisture stress condition and could be utilized
as donors in bread wheat improvement program for drought tolerance.

Keywords

Correlation coefficient, GCV, grain yield, PCV and wheat

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