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

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BMC PLANT BIOLOGY 2025年第1期25卷 1-18页

作者： Yue, Haiwang Olivoto, Tiago Bu, Junzhou Wei, Jianwei Liu, Pengcheng Wu, Wei Nardino, Maicon jiang, xuwen Hebei Acad Agr & Forestry Sci Dryland Farming Inst Hebei Prov Key Lab Crops Drought Resistance Res Hengshui 053000 Hebei Peoples R China Qingdao Agr Univ Maize Res Inst Qingdao 266109 Peoples R China Univ Fed Santa Catarina Agrarian Sci Ctr Dept Plant Sci Florianopolis SC Brazil Hainan Univ Sanya Inst Breeding & Multiplicat Sch Breeding & Multiplicat Sanya 572025 Peoples R China Univ Fed Vicosa Dept Agron Vicosa MG Brazil

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

关键词： Maize Mega-environment Genotype-environment interaction Envirotyping techniques

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Identification of maize seed vigor under different accelerated aging times using hyperspectral imaging and spectral deep features

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2025年 231卷

作者： Zhu, Hongfei Yang, Ranbing Lu, Miaomiao Shi, Weiming Sun, Wenbin Lv, Danyang Liu, Hang Wu, Qiong jiang, xuwen Han, Zhongzhi Hainan Univ Haikou 570100 Peoples R China Qingdao Agr Univ Qingdao 266109 Peoples R China Minist Agr & Rural Affairs Key Lab Trop Intelligent Agr Equipment Sanya 572025 Peoples R China

Maize seed vigor plays a crucial role in improving crop yield. This study proposes a novel method for detecting maize seed vigor via the MAC-seq2seq model. The model successfully reconstructs the spectral sequence of maize seeds. After optimization and iteration, the model achieved a root mean square error (RMSE) of 2.818 x 10-6 on the test set. Subsequently, deep spectral features were extracted using the pretrained MAC-seq2seq, and an ensemble learning model was applied to detect the seed aging hours, with an accuracy of 93.33 %. Additionally, by labeling the spectral sequences with seed vigor index, the combination of ensemble learning and deep spectral features achieved a detection accuracy of 97.62 % for seed vigor. Ultimately, an online seed vigor detection platform was constructed, which effectively measures seed aging time and vigor, was constructed. This study provides an efficient strategy for the nondestructive detection of maize seed vigor, significantly enhancing detection accuracy.

关键词： Maize Seed Vigor Spectral Reconstruction Deep Features Ensemble Learning

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Deciphering the role of genotype-by-environment interaction in summer maize hybrids based on multiple traits using envirotyping techniques and genotype by yield x trait approaches

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FIELD CROPS RESEARCH 2025年 326卷

作者： Yue, Haiwang Olimpio, das Gracas Dias Kaio Zhu, Jiashuai Bu, Junzhou Wei, Jianwei Liu, Pengcheng Yang, Haoxiang jiang, xuwen Hebei Acad Agr & Forestry Sci Dryland Farming Inst Hebei Prov Key Lab Crops Drought Resistance Res Hengshui 053000 Peoples R China Qingdao Agr Univ Coll Agron Qingdao 266109 Peoples R China Univ Fed Vicosa Dept Gen Biol BR-36571000 Vicosa MG Brazil Univ Melbourne Fac Sci Parkville Vic 3052 Australia

Context: The use of high-yielding, stable, and widely adaptable summer maize hybrids is essential for the sustainable cultivation of maize globally. However, contemporary breeding programs face challenges in identifying genotypes that exhibit consistent performance while maintaining desired agronomic characteristics across diverse environments. Dynamic shifts in global meteorological and edaphic conditions have impacted the evaluation of summer maize performance in China's multi-environment trials (METs). Multi-perspective analysis of genotype-by-environment interactions (GEI) is then essential for characterizing maize yield stability and trait expression across agroecological zones. Objective: This study aims to comprehensively evaluate the performance and stability of maize genotypes in the Huang-Huai-Hai region by integrating environmental techniques (ETs) with multi-trait selection methods. Methods: Twenty-eight maize hybrids and a check hybrid (ZD958) were evaluated across 29 locations in the Huang-Huai-Hai region of China during the 2019-2021 cropping seasons, using a randomized complete block design (RCBD) with three replications. Results: Based on 30 years (1993-2023) of environmental data, which included 19 meteorological and 6 soil physicochemical factors, the ETs classified the 29 locations across eight provinces into six distinct mega-environments (MEs). The additive main effects and multiplicative interaction (AMMI) model analysis revealed that genotype (G), environment (E), and their interaction (GxE) significantly influenced (p < 0.05) for all agronomic parameters from 2019 to 2021. The combined performance of grain yield and other agronomic traits-such as growth period, plant height, ear height, lodging rate, barren stalk rate, grain moisture content at harvest, ear row number, bare tip length, and 100-grain weight-across different MEs was assessed using the genotype by yield x trait (GYT) biplot approach. The integration of GYT biplots with ETs effe

关键词： Multi-environment trials Environmental techniques Genotype by environment interaction Mega-environments Maize (Zea mays L.) GYT biplot

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A Study on Genotype-by-Environment Interaction Analysis for Agronomic Traits of Maize Genotypes Across Huang-Huai-Hai Region in China

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Phyton-International Journal of Experimental Botany 2022年第1期91卷 57-81页

作者： Haiwang Yue Jianwei Wei Junliang Xie Shuping Chen Haicheng Peng Hongmei Cao Junzhou Bu xuwen jiang Dryland Farming Institute Hebei Academy of Agriculture and Forestry SciencesHebei Provincial Key Laboratory of Crops Drought Resistance ResearchHengshui053000China Soil and Fertilizer Workstation of Hengshui Agriculture and Rural Bureau Hengshui053000China Maize Research Institute/College of Agronomy Qingdao Agricultural UniversityQingdao266109China

Facing the trend of increasing population,how to increase maize grain yield is a very important issue to ensure food *** this study,28 nationally approved maize hybrids were evaluated across 24 different climatic conditions for two consecutive years(2018-2019).The purpose of this study was to select high-yield with stable genotypes and identify important agronomic traits for maize breeding program *** results of this study showed that the genotypeenvironment interaction effects of the 12 evaluated agronomic traits was highly significant(P<0.001).We introduced a novel multi-trait genotype-ideotype distance index(MGIDI)to select genotypes based on multiple agronomic *** selection process exhibited by this method is unique and easy to understand,so the MGIDI index will have more and more important applications in future multi-environment trials(METs)*** genotypes selected by the MGIDI index were G22,G10,G12 and G1 as the high yielding and stable *** parents of these selected genotypes have the ability to play a greater role as the basic germplasm in the breeding process.A new form of genotype(G)main effects and genotype(G)-by-environment(E)interaction(GGE)technician,genotypeyieldtrait(GYT)biplot,based on multiple traits for genotypes selection was also applied in this *** GYT biplot ranked genotypes by combining grain yield with other evaluated agronomic traits,and displayed the distribution of their traits,namely strengths and weaknesses.

关键词： GEI MGIDI GYT biplot AMMI model GGE

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Biosynthesis and signal transduction of plant growth regulators and their effects on bioactive compound production in Salvia miltiorrhiza (Danshen)

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CHINESE MEDICINE 2024年第1期19卷 102页

作者： Li, Heqin jiang, xuwen Mashiguchi, Kiyoshi Yamaguchi, Shinjiro Lu, Shanfa Qingdao Agr Univ Coll Agron 700 Changcheng Rd Qingdao 266109 Shandong Peoples R China Kyoto Univ Inst Chem Res Uji Kyoto 6110011 Japan Chinese Acad Med Sci & Peking Union Med Coll Inst Med Plant Dev 151 Malianwa North Rd Beijing 100193 Peoples R China Shandong Bairuijia Food Co Ltd 8008 Yi Rd Yantai 261400 Shandong Peoples R China

Plant growth regulators (PGRs) are involved in multiple aspects of plant life, including plant growth, development, and response to environmental stimuli. They are also vital for the formation of secondary metabolites in various plants. Salvia miltiorrhiza is a famous herbal medicine and has been used commonly for > 2000 years in China, as well as widely used in many other countries. S. miltiorrhiza is extensively used to treat cardiovascular and cerebrovascular diseases in clinical practices and has specific merit against various diseases. Owing to its outstanding medicinal and commercial potential, S. miltiorrhiza has been extensively investigated as an ideal model system for medicinal plant biology. Tanshinones and phenolic acids are primary pharmacological constituents of S. miltiorrhiza. As the growing market for S. miltiorrhiza, the enhancement of its bioactive compounds has become a research hotspot. S. miltiorrhiza exhibits a significant response to various PGRs in the production of phenolic acids and tanshinones. Here, we briefly review the biosynthesis and signal transduction of PGRs in plants. The effects and mechanisms of PGRs on bioactive compound production in S. miltiorrhiza are systematically summarized and future research is discussed. This article provides a scientific basis for further research, cultivation, and metabolic engineering in S. miltiorrhiza.

关键词： Plant growth regulators Phenolic acids Tanshinones Salvia miltiorrhiza Danshen

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A study on genotype x environment interactions for the multiple traits of maize hybrids in China

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AGRONOMY JOURNAL 2021年第6期113卷 4889-4899页

作者： Yue, Haiwang jiang, xuwen Wei, Jianwei Xie, Junliang Chen, Shuping Peng, Haicheng Bu, Junzhou Hebei Acad Agr & Forestry Sci Dryland Farming Inst Hebei Prov Key Lab Crops Drought Resistance Res Hengshui 053000 Hebei Peoples R China Qingdao Agr Univ Maize Res Inst Coll Agron Qingdao 266109 Shandong Peoples R China

The correct interpretation of the adaptability and stability of maize (Zea mays L.) hybrids in different ecological environments is very important for plant breeders. Additive main effect and multiplicative interaction model and genotype main effects and genotype x environment interaction biplot are the two most popular methods in the analysis of genotype x environment interaction in multienvironment trials. We conducted an experiment designed to examine and evaluate the adaptability and stability of four agronomic traits of 19 tested maize genotypes in two consecutive growth cycles across seven provinces including 37 locations using a randomized completely block design with three replicates. The combined ANOVA for all traits showed that the effect of genotype, environment, and genotype x environment interaction were significant at 0.1% probability levels. In order to evaluate multiple agronomic traits more accurately, multitrait stability index (MTSI) as an emerging selection method based on mean performance and stability was adopted. Agronomic trait grain yield (GY) was positively correlated with grain weight per ear and growth period. In addition, it was also found that GY and bar tip length showed obvious negative correlation. The MTSI is very helpful for breeders who hope to select mean performance and stability based on a variety of agronomic traits because it provides a convenient selection process while taking into account the relevant results of the traits.

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城市绿化工程苗木种植与养护技术研究

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现代工程科技 2023年第3期2卷 70-73页

作者：蒋绪稳湖南松雅建设集团有限公司湖南长沙410000

城市绿化是优化城市生态环境,提升城市形象,创建美好宜居环境的一项重要举措。落实高标准建设,高效能管理,应采用科学的方法进行绿化苗木的种植与养护管理。基于经验总结和实地考察,分析当下城市绿化施工与养护管理现状,并通过绿化苗木... 详细信息

城市绿化是优化城市生态环境,提升城市形象,创建美好宜居环境的一项重要举措。落实高标准建设,高效能管理,应采用科学的方法进行绿化苗木的种植与养护管理。基于经验总结和实地考察,分析当下城市绿化施工与养护管理现状,并通过绿化苗木种植与后期养护管理技术进行分析与整理。阐述城市绿化工程从施工准备阶段、苗木栽植阶段及后期管养阶段实施质量控制要点与保障措施,旨在为关注行业领域的人士提供一些可行性较高的参考意见。

关键词：市政工程城市绿化苗木种植养护管理

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Seed biostimulant Bacillus sp. MGW9 improves the salt tolerance of maize during seed germination

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AMB EXPRESS 2021年第1期11卷 74页

作者： Li, Heqin Yue, Haiwang Li, Li Liu, Yu Zhang, Haiyan Wang, Jianhua jiang, xuwen Qingdao Agr Univ Dryland Technol Key Lab Shandong Prov Qingdao 266109 Peoples R China Hebei Acad Agr & Forestry Sci Dryland Farming Inst Hengshui 053000 Peoples R China China Agr Univ Seed Sci & Technol Res Ctr Beijing 100193 Peoples R China

Crop performance is seriously affected by high salt concentrations in soils. To develop improved seed pre-sowing treatment technologies, it is crucial to improve the salt tolerance of seed germination. Here, we isolated and identified the strain Bacillus sp. MGW9 and developed the seed biostimulant MGW9. The effects of seed biopriming with the seed biostimulant MGW9 in maize (Zea mays L.) under saline conditions were studied. The results show that the strain Bacillus sp. MGW9 has characteristics such as salt tolerance, nitrogen fixation, phosphorus dissolution, and indole-3-acetic acid production. Seed biopriming with the seed biostimulant MGW9 enhanced the performance of maize during seed germination under salinity stress, improving the germination energy, germination percentage, shoot/seedling length, primary root length, shoot/seedling fresh weight, shoot/seedling dry weight, root fresh weight and root dry weight. Seed biostimulant MGW9 biopriming also alleviated the salinity damage to maize by improving the relative water content, chlorophyll content, proline content, soluble sugar content, root activity, and activities of superoxide dismutase, catalase, peroxidase and ascorbate peroxidase, while decreasing the malondialdehyde content. In particular, the field seedling emergence of maize seeds in saline-alkali soil can be improved by biopriming with the seed biostimulant MGW9. Therefore, maize seed biopriming with the seed biostimulant MGW9 could be an effective approach to overcoming the inhibitory effects of salinity stress and promoting seed germination and seedling growth.

关键词： Salt stress Seed biostimulant Seed germination Zea mays Bacillus sp

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Optimizing planting density and nitrogen application to enhance profit and nitrogen use of summer maize in Huanghuaihai region of China

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SCIENTIFIC REPORTS 2022年第1期12卷 1-9页

作者： Zhang, HaiYan Zhang, ChengRan Sun, Peng jiang, xuwen Xu, GuangHai Yang, JinZhong Qingdao Agr Univ Qingdao Peoples R China

Low planting density and irrational nitrogen (N) fertilization are two common practices in conventional cropping of smallholder maize production in Huanghuaihai region of China. A 2-year field experiment was carried out to study the effects of N application and planting density on maize phenology, dry matter accumulation, profit, yield, N uptake and efficiency indices. The experiments included three N application levels (120 kg ha(-1), N1;180 kg ha(-1), N2;240 kg ha(-1), N3) and three planting densities (60,000 plants ha(-1), D1;75,000 plants ha(-1), D2;90,000 plants ha(-1), D3). Increasing N input and planting density delayed the physiological maturity and enhanced dry matter accumulation. Comparing with the traditional N3 level, grain yield and profit were kept stable at N2 level and decreased at N1 level, partial factor productivity of applied N (PFPN) and nitrogen efficiency ratio (NER) were increased with the decreasing of N level. Comparing with the traditional D1 density, grain yield, profit and PFPN were increased at D2 density and then kept stable at D3 density, NER was kept stable at D2 density and then decreased at D3 density. Based on the predicted maximum profit, the optimal combinations of N application and planting density were 199 kg ha(-1) and 81,081 plants ha(-1) in 2017, and 205 kg ha(-1) and 84,782 plants ha(-1) in 2018. The two optimal combinations had an increase of 17.6% for grain yield, 39.8% for PEPN, 3.6% for NRE than the traditional N3D1 treatment. Therefore, an appropriate combination of increased planting density with reduced N application could enhance profit and nitrogen use of summer maize in Huanghuaihai region of China.

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水对盐胁迫下种子引发的缓解效应

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武夷学院学报 2024年第3期43卷 9-13页

作者：刘贺李焰焰聂传朋江绪文福建农林大学园艺学院福建福州350002 武夷学院茶与食品学院福建武夷山354300 青岛农业大学农学院山东青岛266109

盐胁迫会影响种子的萌发以及后期产量的形成,研究如何经济有效地缓解盐胁迫的危害对于提高作物的产量与品质起着具有非常重要的作用。以鲁麦21和济南17两个小麦品种为例,以水作为引发剂对小麦种子进行引发处理,设置对比不同引发时间,和... 详细信息

盐胁迫会影响种子的萌发以及后期产量的形成,研究如何经济有效地缓解盐胁迫的危害对于提高作物的产量与品质起着具有非常重要的作用。以鲁麦21和济南17两个小麦品种为例,以水作为引发剂对小麦种子进行引发处理,设置对比不同引发时间,和保湿时间这两个影响因素,形成不同条件的处理组合。通过对幼苗进行测定与分析,探索在哪种引发处理条件下小麦有更好的抵抗盐胁迫的能力。结果表明:适宜的水引发处理可以明显提高盐胁迫下小麦种子活力。对于鲁麦21,和济南17这两个品种来说,在水引发10 min,结合保湿12 h时具有较好的缓解盐胁迫效果。

关键词：小麦种子盐胁迫萌发及产量缓解效应

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