北方农业学报2025，Vol.53Issue(4)：40-48,9.DOI:10.12190/j.issn.2096-1197.2025.04.04
基于AMMI模型对玉米品种稳定性和适应性的分析
Analysis of stability and adaptability of maize varieties based on the AMMI model
摘要
Abstract
[Objective]To evaluate the high-yield potential,yield stability,adaptability of maize varieties in the southern mountainous region of Ningxia,as well as the discriminatory power of each test site,in order to screen maize varieties suitable for large-scale promotion and cultivation in this region.[Methods]AMMI biplot and stability parameters(variety stability parameter denoted as Di,environment stability parameter denoted as Dj)were applied to analyze the stability of grain yield for 13 maize varieties tested in the regional trial of late-maturing maize across 6 test sites in the southern mountainous region of Ningxia in 2023,and to assess the discriminatory power of the test sites.[Results]The analysis of variance revealed that the effects of variety,test site,and variety-by-test-site interaction on grain yield of the tested maize varieties all reached extremly significant levels(P<0.01).The test site effect accounted for the largest proportion of the total sum of squares(83.89%),followed by the variety-by-test-site interaction effect(7.40%)and the variety effect(1.73%).The AMMI biplot and Di parameter indicated that Runfeng 969,Yinyu 8333,and KH385 were high-yielding and stable varieties;Jincheng 839,Qiyu 128,Hefeng 216,and HY37 exhibited moderate yield potential with poor stability;Jinrun 889,Keyou 219,and Fuqiang 235 were high-yielding but had moderate stability;while Ninghe 237 and KY158 showed good stability but moderate yield potential.The discriminatory power of the test sites varied among the varieties,with the Longde County site exhibiting the strongest discriminatory power and the Xiji County site the weakest.[Conclusion]Runfeng 969,Yinyu 8333,and KH385 are high-yielding and stable maize varieties,suitable for large-scale promotion and cultivation in the southern mountainous region of Ningxia.The Longde County test site demonstrates strong discriminatory capability for variety evaluation.关键词
AMMI模型/玉米/稳定性/适应性Key words
AMMI model/Maize/Stability/Adaptability分类
农业科技引用本文复制引用
虎芳芳,辛娟,王峰,刘龙,雷小利..基于AMMI模型对玉米品种稳定性和适应性的分析[J].北方农业学报,2025,53(4):40-48,9.基金项目
宁夏回族自治区青年拔尖人才培养项目 （）
