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通过GGE双标图分析揭示绿豆基因型与环境互作对尾孢叶斑病的抗性

Mungbean G × E interaction unveiling resistance to Cercospora leaf spot through GGE biplot analysis.

作者信息

Irfan Mohammad, Bhat Mohd Ashraf, Rashid Uzma, Bhat Farooq Ahmed, Alwutayd Khairiah Mubarak

机构信息

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

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

出版信息

Sci Rep. 2025 May 2;15(1):15368. doi: 10.1038/s41598-025-98885-1.

Abstract

Cercospora leaf spot (CLS), caused by Cercospora canescens, is a major threat to mungbean production worldwide. The disease is complicated by its wide host range, diverse pathogenic strains, and the influence of environmental factors. Understanding the interplay between the host, pathogen, and environmental conditions is crucial for developing effective control measures. In a bid to identify and validate CLS resistant mungbean genotypes we conducted multi-environment trials; Genomic selection of mungbean for resistance against CLS necessitates pre-identification in diverse environments. Initially, 110 genotypes were screened under controlled conditions in which thirty-day-old mungbean plants were thoroughly sprayed with the spore suspension using a glass atomizer. After three weeks of revalidation under controlled conditions, Koch's postulates was adopted for disease identification before selecting 16 genotypes for field testing across four different environments over three successive years. The results obtained from the GGE biplot analysis emphasize the importance of taking both genetic and ambient factors in consideration when evaluating the potential of mungbean genotypes for resistance against CLS and therefore two genotypes "SK-89 (15)" and "WMB-9 (14)" was identified as desirable genotypes. The Additive Main Effects and Multiplicative Interaction (AMMI) model and the GGE biplot have emerged as potent tools for unraveling GEI complexities. It has expanded its application to include evaluation of resistant genotypes and to locate "ideal" evaluation sites and "mega environments" linked to resistance against infection. The study provides valuable insights for future breeding programs, allowing researchers to focus on incorporating these resistant traits into future varieties.

摘要

尾孢叶斑病(CLS)由尾孢菌引起,是全球绿豆生产的主要威胁。该病害因寄主范围广、致病菌株多样以及环境因素的影响而变得复杂。了解寄主、病原体和环境条件之间的相互作用对于制定有效的防治措施至关重要。为了鉴定和验证抗CLS的绿豆基因型,我们进行了多环境试验;对绿豆进行抗CLS的基因组选择需要在不同环境中进行预先鉴定。最初,在可控条件下对110个基因型进行了筛选,用玻璃雾化器将30日龄的绿豆植株彻底喷洒孢子悬浮液。在可控条件下重新验证三周后,采用柯赫氏法则进行病害鉴定,然后选择16个基因型在连续三年的四个不同环境中进行田间试验。从GGE双标图分析中获得的结果强调,在评估绿豆基因型对CLS的抗性潜力时,既要考虑遗传因素也要考虑环境因素,因此确定了两个理想基因型“SK - 89(15)”和“WMB - 9(14)”。加性主效应和乘积互作(AMMI)模型以及GGE双标图已成为揭示基因与环境互作复杂性的有力工具。它的应用范围已经扩大,包括对抗性基因型的评估以及定位与抗感染抗性相关的“理想”评估地点和“超级环境”。该研究为未来的育种计划提供了有价值的见解,使研究人员能够专注于将这些抗性性状纳入未来的品种中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c74/12048526/d40716a258db/41598_2025_98885_Fig1_HTML.jpg

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