Evaluation of adaptability of naked oat varieties in the alpine region of North China based on the AMMI model and GGE Biplot北大核心CSCD

In order to comprehensively evaluate the productivity, stability and adaptability of varieties of naked oats, as well as the discriminative power and representativeness of testing sites in the alpine region of North China, data for six naked oat varieties and six testing sites in 2019 were analyzed and evaluated using the AMMI （additive main effects and multiplicative interaction） model and GGE （genotype main effect plus genotype-environment interaction） biplot. It was found that analyses of naked oats regional trial results using the two methods together reduced the statistical error and increased the ability to declare variety means significantly different, compared to traditional ANOVA methods. It was found that genotype, environment, and genotype×environment interaction effects all contributed to differences in grain yield. Variety 200910-28-4-3（G2） showed the best performance in both grain yield and stability of yield across sites, followed by varieties 200910-5-2（G3） and 200910-22-1（G4）. In terms of the selection of regional adaptability test sites for varieties, Ulanqab pilot in Inner Mongolia had both good representativeness and strong discriminability, and was the most ideal test site. Chongli Shizigou Seed Farm and Zhangbei Base were also comparatively good test sites. This study provided a scientific evaluation of methodology for performance testing of naked oat varieties in the alpine region of north China and the results basis will assist future breeding and promotion. © 2022 Editorial Office of Acta Prataculturae Sinica. All rights reserved.

Evaluation of adaptability of naked oat varieties in the alpine region of North China based on the AMMI model and GGE Biplot

In order to comprehensively evaluate the productivity， stability and adaptability of varieties of naked oats， as well as the discriminative power and representativeness of testing sites in the alpine region of North China， data for six naked oat varieties and six testing sites in 2019 were analyzed and evaluated using the AMMI （additive main effects and multiplicative interaction） model and GGE （genotype main effect plus genotype-environment interaction） biplot. It was found that analyses of naked oats regional trial results using the two methods together reduced the statistical error and increased the ability to declare variety means significantly different， compared to traditional ANOVA methods. It was found that genotype， environment， and genotype×environment interaction effects all contributed to differences in grain yield. Variety 200910-28-4-3（G₂） showed the best performance in both grain yield and stability of yield across sites， followed by varieties 200910-5-2 （G₃） and 200910-22-1（G₄）. In terms of the selection of regional adaptability test sites for varieties， Ulanqab pilot in Inner Mongolia had both good representativeness and strong discriminability， and was the most ideal test site. Chongli Shizigou Seed Farm and Zhangbei Base were also comparatively good test sites. This study provided a scientific evaluation of methodology for performance testing of naked oat varieties in the alpine region of north China and the results basis will assist future breeding and promotion.