Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance

Abstract 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 exceptio...

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Main Authors: Haiwang Yue, Tiago Olivoto, Junzhou Bu, Jianwei Wei, Pengcheng Liu, Wei Wu, Maicon Nardino, Xuwen Jiang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Plant Biology
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Online Access:https://doi.org/10.1186/s12870-025-06158-w
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author Haiwang Yue
Tiago Olivoto
Junzhou Bu
Jianwei Wei
Pengcheng Liu
Wei Wu
Maicon Nardino
Xuwen Jiang
author_facet Haiwang Yue
Tiago Olivoto
Junzhou Bu
Jianwei Wei
Pengcheng Liu
Wei Wu
Maicon Nardino
Xuwen Jiang
author_sort Haiwang Yue
collection DOAJ
description Abstract 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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spelling doaj-art-e2615222fc474ba184942bc9196a1e6e2025-02-02T12:15:28ZengBMCBMC Plant Biology1471-22292025-01-0125111810.1186/s12870-025-06158-wAssessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistanceHaiwang Yue0Tiago Olivoto1Junzhou Bu2Jianwei Wei3Pengcheng Liu4Wei Wu5Maicon Nardino6Xuwen Jiang7Hebei Provincial Key Laboratory of Crops Drought Resistance Research, Dryland Farming Institute, Hebei Academy of Agriculture and Forestry SciencesDepartment of Plant Science, Center of Agrarian Sciences, Federal University of Santa CatarinaHebei Provincial Key Laboratory of Crops Drought Resistance Research, Dryland Farming Institute, Hebei Academy of Agriculture and Forestry SciencesHebei Provincial Key Laboratory of Crops Drought Resistance Research, Dryland Farming Institute, Hebei Academy of Agriculture and Forestry SciencesHebei Provincial Key Laboratory of Crops Drought Resistance Research, Dryland Farming Institute, Hebei Academy of Agriculture and Forestry SciencesSchool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan UniversityDepartment of Agronomy, Federal University of Vic¸osaMaize Research Institute, Qingdao Agricultural UniversityAbstract 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.https://doi.org/10.1186/s12870-025-06158-wMaizeMega-environmentGenotype-environment interactionEnvirotyping techniques
spellingShingle Haiwang Yue
Tiago Olivoto
Junzhou Bu
Jianwei Wei
Pengcheng Liu
Wei Wu
Maicon Nardino
Xuwen Jiang
Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
BMC Plant Biology
Maize
Mega-environment
Genotype-environment interaction
Envirotyping techniques
title Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
title_full Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
title_fullStr Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
title_full_unstemmed Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
title_short Assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
title_sort assessing the role of genotype by environment interaction as determinants of maize grain yield and lodging resistance
topic Maize
Mega-environment
Genotype-environment interaction
Envirotyping techniques
url https://doi.org/10.1186/s12870-025-06158-w
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