The study of non-parametric stability methods in 28 wheat genotypes in some tropical regions
Subject Areas : Sustainable production technologiesmehran khaki 1 * , Alireza fakhereh vaezi 2 , vahideh alipoor astkhri 3 , Reza Noruozi 4
1 - Research Assistant Professor, Agricultural and Horticultural Research Department, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran.
2 - Research Instructor, Agricultural and Horticultural Research Department, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran.
3 - Research Expert, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran
4 - Research Expert, Qazvin Province Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Qazvin, Iran
Keywords: Environmental genotype interactions, Bread wheat, stability, nonparametric methods,
Abstract :
The study assessed the interaction effect of genotype and environment and the stability of yield in bread wheat (Triticum aestivum) with different genetic structures. It involved the selection of stable and high-yielding genotypes among 28 bread wheat genotypes using a completely randomized block design in four replications over two years (2015-2016 and 2016-2017) at research stations. Comparing and utilizing non-parametric stability methods were among the study's objectives. The results of the combined ANOVA analysis showed significant differences at a 1% probability level, indicating the varied responses of genotypes across different environments. According to results obtained from the two non-parametric statistics, Nassar and Hall, genotypes 16, 25, 27, and 15, with lower values, were identified as the most stable genotypes. In both stability criteria, genotypes with the lowest values, specifically 15, 16, and 27, were recognized as the most stable. High correlation of the stability statistic 's' with grain yield and other non-parametric stability methods did not show a positive correlation with average yield, indicating a static concept. Tanaro (1995) utilized four parameters of stability for non-parametric stability analysis. Upon examining the criteria, it was observed that genotype number 27 was identified as stable across all four criteria. The results from principal component analysis (PCA) and statistical correlation analysis indicated that ranking for simultaneous selection based on yield and high stability is beneficial.
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