Using Shukla’s mixed model and the related joint regression model in analyses of stability and adaptation of genotypes
Part II. An example for spring wheat
Wiesław Mądry
wieslaw_madry@sggw.edu.plKatedra Statystyki Matematycznej i Doświadczalnictwa, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Abstract
The aim of the paper is application of statistical procedures, given in the first part of the paper, to stability and adaptation analysis of spring wheat genotypes using grain yield data obtained in a multilocation series of variety trials. In the series 25 genotypes were tested in 10 locations. These genotypes were divided into some groups including stable genotypes, genotypes widely adapted, as well as intensive, extensive and irregular genotypes. It was been proven that the joint regression analysis was less effective in explaining variability of interaction effects. However, it allowed studying unstable response of grain yield of genotypes to environmental conditions in locations of a target region. The Shukla’s mixed model and the mixed E-R-S model, together with their statistical tools, could be efficient approaches, like Scheffe-Caliński’s models, in solution of typical problems appearing in crop breeding and testing of genotypes.
Keywords:
classification of genotypes, joint regression model of Eberhart-Russell-Shukla (E-R-S model), series of variety trials, Shukla’s model, spring wheat, stability and adaptation analyses of genotypesReferences
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Authors
Wiesław Mądrywieslaw_madry@sggw.edu.pl
Katedra Statystyki Matematycznej i Doświadczalnictwa, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Statistics
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