Application of Genstat-GGE biplot in regional cotton trials of Hubei Province

doi:10.14088/j.cnki.issn0439-8114.2026.09.001

Abstract

Abstract: To scientifically evaluate the yield-potential, yield-stability, adaptability of cotton varieties and the testing capacity of experimental sites in Hubei Provincial cotton regional trials, the GGE biplot model embedded in Genstat 24 software was adopted to analyze the lint yield data of 11 early-maturing conventional cotton varieties after wheat harvest across 11 experimental sites in Hubei Province in 2025. Combined analysis of variance revealed significant effects of genotype, environment, and genotype-by-environment interaction. Environment was the primary source of yield variation, and the contribution rate of genotype-by-environment interaction was higher than that of the main genotype effect. The results of the GGE biplot indicated that Gangmian 21 and Huamian 1212 exhibited the best comprehensive performance in yield-potential and yield-stability, among which Gangmian 21 was the most ideal variety. The suitable planting regions for each variety were clarified,and Jiangmian 11 was not suitable for cultivation in Hubei Province. Jingzhou site showed the best representativeness and discrimination ability, followed by Tianmen and Huanggang sites. A highly positive correlation was observed in the discriminating ability among partial test sites. The Genstat-GGE biplot could visually interpret genotype-by-environment interaction, which provided a scientific reference for cotton variety selection, targeted popularization and optimization of regional trial network in Hubei Province.

Key words: cotton, regional trial, Genstat, GGE biplot, yield-potential, yield-stability, adaptability, Hubei Province

CLC Number:

S562

HAN Guang-ming, LAN Jia-yang, CHEN Quan-qiu, ZHANG Sheng-xi, LI Guo-rong, LYU Chao-yue. Application of Genstat-GGE biplot in regional cotton trials of Hubei Province[J]. HUBEI AGRICULTURAL SCIENCES, 2026, 65(9): 1-5.

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