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利用加性主效应乘积交互作用(AMMI)和基因型与环境互作(GGE)双标图分析进行基因与环境互作及稳定性分析,以鉴定抗叶斑病的绿豆(Vigna radiata L.)基因型。

G × E Interaction and stability analysis to identify resistant mungbean (Vigna radiata L.) genotypes against Boeremia leaf spot using AMMI and GGE biplot analysis.

作者信息

Rashid Uzma, Irfan Mohammad, Bhat Mohd Ashraf, Mughal Mohammad Najeeb, Nabi Sajad Un, Ghazy Abdel-Halim I, Al-Doss Abdullah A

机构信息

Department of Plant Pathology, FoA, SKUAST-Kashmir, India.

Department of Genetics and Plant Breeding, FoA, SKUAST-Kashmir, India.

出版信息

BMC Plant Biol. 2025 May 20;25(1):666. doi: 10.1186/s12870-025-06682-9.

DOI:10.1186/s12870-025-06682-9
PMID:40394486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12090661/
Abstract

Boeremia Leaf Spot (BLS), caused by Boeremia exigua, threatens mungbean cultivation worldwide, exacerbated by its wide host range, multiple pathogenic strains, and environmental influences. A thorough understanding of the host-pathogen-environment interactions is critical for effective disease management. To identify mungbean genotypes resistant to BLS, we conducted multi-environment trials. Initially, 70 genotypes were screened under controlled conditions, and 10 were selected for field trials across four environments over three years. GGE biplot analysis revealed the importance of considering both genetic and environmental factors when evaluating resistance. Based on average disease severity (DS) scores across locations and years, two genotypes, (G5) AG-11 (DS = 4.1) and G7 (AK-58) (DS = 3.4), which demonstrated consistent resistance to BLS across multiple test environments. These genotypes not only exhibited strong disease resistance but also showed stable adaptation both in case of disease resistance and yield output [ (G5) AG-11 (Y = 9.02qtls/ha) and (G7) (AK-58) (y = 12.15 qtls/ha) and therefore were identified as promising resistant candidates. The Additive Main Effects and Multiplicative Interaction (AMMI) model, in conjunction with the GGE biplot, effectively analyzed genotype-environment interactions and identified optimal evaluation sites and "mega-environments" for BLS resistance. These findings provide valuable insights for future breeding programs focused on integrating resistance traits into new mungbean varieties.

摘要

由瓜亡革菌引起的绿豆叶斑病(BLS)对全球绿豆种植构成威胁,其广泛的寄主范围、多种致病菌株以及环境影响加剧了这种威胁。深入了解寄主 - 病原体 - 环境之间的相互作用对于有效的病害管理至关重要。为了鉴定对BLS具有抗性的绿豆基因型,我们进行了多环境试验。最初,在可控条件下对70个基因型进行了筛选,选择了10个基因型在三年内跨越四个环境进行田间试验。GGE双标图分析表明,在评估抗性时,考虑遗传和环境因素都很重要。根据不同地点和年份的平均病情严重度(DS)得分,两个基因型,即(G5)AG - 11(DS = 4.1)和G7(AK - 58)(DS = 3.4),在多个测试环境中对BLS表现出一致的抗性。这些基因型不仅表现出很强的抗病性,而且在抗病性和产量方面都表现出稳定的适应性[(G5)AG - 11(Y = 9.02qtls/ha)和(G7)(AK - 58)(y = 12.15 qtls/ha)],因此被确定为有前景的抗性候选基因型。加性主效应和乘积互作(AMMI)模型与GGE双标图相结合,有效地分析了基因型 - 环境互作,并确定了BLS抗性的最佳评估地点和“超级环境”。这些发现为未来旨在将抗性性状整合到新绿豆品种中的育种计划提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/53e45319b8df/12870_2025_6682_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/b256352beba9/12870_2025_6682_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/ba6f8d42ab17/12870_2025_6682_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/0ecd73f12564/12870_2025_6682_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/b92426a27486/12870_2025_6682_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/53e45319b8df/12870_2025_6682_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/b256352beba9/12870_2025_6682_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/ba6f8d42ab17/12870_2025_6682_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/0ecd73f12564/12870_2025_6682_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/b92426a27486/12870_2025_6682_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1b2/12090661/53e45319b8df/12870_2025_6682_Fig5_HTML.jpg

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