Statistical models for evaluating genotype x environment interaction in wheat (Triticum aestivum L.)
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Date
2015
Authors
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Publisher
CCSHAU
Abstract
In this study, we used five of parametric and eleven of non-parametric stability measures for
analysis of genotype x environment interaction for grain yield of wheat genotypes through different
locations of Northern region of India. Genotype x environment interaction is a common phenomenon in
agricultural research and is one of the main complications in the selection of a stable variety. The
absence of G x E interaction coupled with high yield indicates that the genotypes are suitable for
general adaptation in the range of environments considered. But this ideal situation is rarely
encountered, because phenotypic stability of a genotype is inversely proportional to yield. Values of
stability measures have shown that genotypes with the highest grain yield need not to be most stable.
Interrelationship among various parametric and non-parametric stability measures was determined by
Spearman’s rank correlation. In simultaneous selection for high yield and stability, the parametric
measure CV and non-parametric measures , , ,
( )
and
( )
were useful in terms of correlation
analysis of parametric measures, non-parametric measures and yield. Rank sum ( ) measure was
found to be most suitable measure for assessing the wheat genotypes yield stability in Northern region
of India.
Description
Keywords
Genotypes, Animal husbandry, Environment, Yields, Wheats, Grain, Genotype environment interaction, Selection, Statistical methods, Phenotypes