Estimating yield stability by nonparametric stability analysis in maize (Zea mays L.).

Hamid Dehghani


Department of Plant Breeding Faculty of Agriculture, Tarbiat Modares University Teheran (Iran, Islamic Republic of)


Abstract

Assessment of the stability of a genotype to different environments is useful for recommending genotypes for known conditions of cultivation and should be a requirement in plant breeding programs. Nonparametric models do not require parametric assumptions and are good alternatives for parametric measurements to genotypes × environments (GE) interaction study.Twelve maize (Zea mays L.) genotypes were tested at eleven locations in for two years (22 environments). The experiments involved a randomized complete block design in which twelve nonparametric procedures were used to analyze genotype stability. Results of nonparametric tests of GE interaction and combined ANOVA showed there were both noncrossover and crossover GE interaction...


Keywords:

Genotype × Environment Interaction, Multi-environment trials, Zea mays

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Published
2008-12-21

Cited by

Dehghani, H. . (2008). Estimating yield stability by nonparametric stability analysis in maize (Zea mays L.). Plant Breeding and Seed Science, 58, 61–77. Retrieved from http://ojs.ihar.edu.pl/index.php/pbss/article/view/609

Authors

Hamid Dehghani 

Department of Plant Breeding Faculty of Agriculture, Tarbiat Modares University Teheran Iran, Islamic Republic of

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