Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
文献类型： 外文期刊
作者： Yue, Haiwang 1 ; Olivoto, Tiago 3 ; Bu, Junzhou 1 ; Wei, Jianwei 1 ; Liu, Pengcheng 1 ; Wu, Wei 4 ; Nardino, Maicon 5 ; Jiang, Xuwen 2 ;
作者机构： 1.Hebei Acad Agr & Forestry Sci, Dryland Farming Inst, Hebei Prov Key Lab Crops Drought Resistance Res, Hengshui 053000, Hebei, Peoples R China
2.Qingdao Agr Univ, Maize Res Inst, Qingdao 266109, Peoples R China
3.Univ Fed Santa Catarina, Agrarian Sci Ctr, Dept Plant Sci, Florianopolis, SC, Brazil
4.Hainan Univ, Sanya Inst Breeding & Multiplicat, Sch Breeding & Multiplicat, Sanya 572025, Peoples R China
5.Univ Fed Vicosa, Dept Agron, Vicosa, MG, Brazil
关键词： Maize; Mega-environment; Genotype-environment interaction; Envirotyping techniques
期刊名称：BMC PLANT BIOLOGY （ 影响因子：4.8； 五年影响因子：5.4 ）
ISSN： 1471-2229
年卷期： 2025 年 25 卷 1 期
页码：
收录情况： SCI
摘要： Background The development of superior summer maize hybrids with high-yield potential and essential agronomic traits, such as resistance to lodging, is crucial for ensuring the sustainability of maize cultivation. However, the task of identifying and breeding genotypes that exhibit exceptional performance and stability across multiple environment conditions, while considering a wide range of traits, is challenging. Given the backdrop of global climate change, understanding which climate variables and soil properties most significantly impact environmental similarity is essential for selecting hybrids with improved adaptability to regions with diverse climatic and soil conditions. This study aimed to integrate envirotyping techniques (ETs) with a multi-trait selection approach to carry out a comprehensive evaluation of maize genotypes for performance and stability. Results The grain yields of 13 maize hybrids, along with their four critical agronomic parameters, were assessed in the Huang-Huai-Hai Plain of China across 40 locations in eight provinces. By considering 20 years of climatic factors and soil covariates, these 40 locations were divided into six mega-environments (MEs) based on similar long-term weather patterns and soil characteristics. Additive main effects and multiplicative interaction (AMMI) analyses revealed that genotype (G), environment (E), and the GxE interaction had significant effects on all agronomic parameters (P < 0.001). The mean performance and stability of the genotypes in each mega-environment were assessed, allowing for the identification of superior hybrids using the multi-trait stability index (MTSI). In two of the MEs (ME2 and ME3), only two hybrids, HY321 and HY9112, were selected concurrently. Conclusion Overall, this study provides valuable insights into the effects of ETs on maize hybrids and enhances our understanding of GxE interactions in multi-environment trials. This understanding is essential for improving maize cultivation practices and breeding program in diverse environments.
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