Regression and cluster analysis on yielding stability and agronomic characteristics of 26 hybrid corn genotypes in 9 environments
2001
Suriya Nat-rattana(Maejo University, Chiang Mai (Thailand). Faculty of Agricultural Production. Department of Agronomy) | Prawit Puddhanon(Maejo University, Chiang Mai (Thailand). Faculty of Agricultural Production. Department of Agronomy) | Ruangchai Chuwatthanasamran(Maejo University, Chiang Mai (Thailand). Faculty of Agricultural Production. Department of Agronomy) | Anat Tancho(Maejo University, Chiang Mai (Thailand). Faculty of Agricultural Production. Department of Soil and Fertilization) | Chokechai Aekatasanawan(Kasetsart University, Bangkok (Thailand). Inseechandrasatitya Institute for Crop Research. National Corn and Sorghum Research Center)
As a result, the nine environments were uniform according to their homogeneity tests of variances. Therefore, the combined analysis of variance was employed to analyze grain yield, 50 percent silking date, plant and ear height, husk cover percentage and grain moisture percentage. The economical important character like grain yield was considered as first priority in this study. The corn varieties, C5218003, C5219041, 30A33, PAC972 and KSX4255 were selected in terms of high grain yields of 9,873, 9,835, 9,668 and 9,772 kg/ha which were significantly higher than the check variety of Suwan 3601. Moreover, the genotype x environment interactions were also greater and significant, hence the regression analysis were applied for selecting a stable variety in grain yields. Similar results were obtained among hybrid varieties of C5218003, C5219041, 30A33, PAC972 and KSX4255 which were classified as stable varieties with non-significant mean square deviation (S sup(2) d sub(i)) at 0.191, 0.255, 0.216, 0.272 and 0.501. It is implied that smaller G x E interactions made no different result between the combined analysis of variance and regression analysis. The smaller G x E interaction of the grain yield of 13.3 percent was generated by cluster analysis, with 10 genotype groups and 7 environment groups were classified. The vest genotypes of Group_13 consisting of C5218003, C5219041, 30A33, varieties, produced an average yield of 9873 9835 and 9668 kg/ha. When the husk cover percentage from cluster analysis was reconsidered in the selection process, only one variety, 30A33, proved to be the best. In conclusion, the phenotypic expression for varietals selection depended on the size of genotype x environment interaction. The smaller G x E interaction needed a simply combined analysis of variance to the less complicated regression analysis in contrast, to the large G x E interaction, which cluster analysis was useful and more effective for selection process.
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