谷子优良基因型抗稻瘟病多环境多性状GGE双标图评价及稳定性分析

IF 3.3 3区 农林科学 Q2 PLANT SCIENCES
Farooqkhan , K.B. Palanna , Gutha Venkata Ramesh , Prasanna S. Koti , H.R. Raveendra , T.S.S.K. Patro , Divya Bhandhari , Gandikota Brahmani , Prahlad Netam , Sujatha Bhat , H.E. Patil , Shaik Abdul Salam , Laxmi Rawat , T. Tharana Poonacha , Anusha M. Nayak , Muhammad Suhaib Ismayil , T.E. Nagaraja , R. Madhusudhana , C. Tara Satyavathi
{"title":"谷子优良基因型抗稻瘟病多环境多性状GGE双标图评价及稳定性分析","authors":"Farooqkhan ,&nbsp;K.B. Palanna ,&nbsp;Gutha Venkata Ramesh ,&nbsp;Prasanna S. Koti ,&nbsp;H.R. Raveendra ,&nbsp;T.S.S.K. Patro ,&nbsp;Divya Bhandhari ,&nbsp;Gandikota Brahmani ,&nbsp;Prahlad Netam ,&nbsp;Sujatha Bhat ,&nbsp;H.E. Patil ,&nbsp;Shaik Abdul Salam ,&nbsp;Laxmi Rawat ,&nbsp;T. Tharana Poonacha ,&nbsp;Anusha M. Nayak ,&nbsp;Muhammad Suhaib Ismayil ,&nbsp;T.E. Nagaraja ,&nbsp;R. Madhusudhana ,&nbsp;C. Tara Satyavathi","doi":"10.1016/j.pmpp.2025.102873","DOIUrl":null,"url":null,"abstract":"<div><div>Finger millet blast caused by <em>Magnaporthe grisea</em> poses a major threat, particularly in high-rainfall agroecological zones of India. Identifying stable and broad-spectrum resistance is crucial for sustaining productivity and ensuring food security. In the present study, a diverse panel of 58 finger millet genotypes was evaluated against finger millet blast across six distinct blast hotspot regions during the <em>Kharif</em> 2022–2023. Field evaluations under artificial inoculation revealed significant genotypic variability for blast severity across locations, with Mandya and Vizianagaram exhibiting the highest leaf blast severity. None of the genotypes found immune, however, 19 (32.76 %) showed resistant (R) and 35 (60.34 %) moderately resistant (MR) reactions. Genotypes such as GE4837, GE1559, GE4796, GE5812, GE1026 and VL149 consistently exhibited low disease severity across all blast stages and locations. Stability analyses using AMMI, Eberhart and Russell's regression model, CV% and AMMI stability value (ASV) identified GE5812, GE1559, GE1026 and GE4796 as the most stable and resistant entries. GGE biplot analysis further confirmed their stable performance and delineated two mega-environments, with Bangalore emerging as the most representative and discriminative site for resistance screening. Genetic variability analysis revealed high heritability and genetic advance for grain yield, fodder yield and blast traits indicating predominance of additive gene action and amenability to selection. Cluster analysis grouped genotypes into five clusters with the most resistant and stable entries aligning with GGE and AMMI findings. MGIDI analysis identified genotypes with lowest MGIDI index that were closest to ideotype across multiple traits. The findings of current investigation provide critical insights into the genetic architecture of blast resistance and its interaction with agronomic traits. The identified stable and resistant genotypes serve as promising donors for resistance breeding and pre-breeding and lays a strong foundation for breeding high-yielding, blast-resistant finger millet cultivars adapted to diverse agroclimatic regions.</div></div>","PeriodicalId":20046,"journal":{"name":"Physiological and Molecular Plant Pathology","volume":"140 ","pages":"Article 102873"},"PeriodicalIF":3.3000,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-environmental and multi-trait evaluation of elite finger millet genotypes for blast resistance using GGE biplot and stability analysis\",\"authors\":\"Farooqkhan ,&nbsp;K.B. Palanna ,&nbsp;Gutha Venkata Ramesh ,&nbsp;Prasanna S. Koti ,&nbsp;H.R. Raveendra ,&nbsp;T.S.S.K. Patro ,&nbsp;Divya Bhandhari ,&nbsp;Gandikota Brahmani ,&nbsp;Prahlad Netam ,&nbsp;Sujatha Bhat ,&nbsp;H.E. Patil ,&nbsp;Shaik Abdul Salam ,&nbsp;Laxmi Rawat ,&nbsp;T. Tharana Poonacha ,&nbsp;Anusha M. Nayak ,&nbsp;Muhammad Suhaib Ismayil ,&nbsp;T.E. Nagaraja ,&nbsp;R. Madhusudhana ,&nbsp;C. Tara Satyavathi\",\"doi\":\"10.1016/j.pmpp.2025.102873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Finger millet blast caused by <em>Magnaporthe grisea</em> poses a major threat, particularly in high-rainfall agroecological zones of India. Identifying stable and broad-spectrum resistance is crucial for sustaining productivity and ensuring food security. In the present study, a diverse panel of 58 finger millet genotypes was evaluated against finger millet blast across six distinct blast hotspot regions during the <em>Kharif</em> 2022–2023. Field evaluations under artificial inoculation revealed significant genotypic variability for blast severity across locations, with Mandya and Vizianagaram exhibiting the highest leaf blast severity. None of the genotypes found immune, however, 19 (32.76 %) showed resistant (R) and 35 (60.34 %) moderately resistant (MR) reactions. Genotypes such as GE4837, GE1559, GE4796, GE5812, GE1026 and VL149 consistently exhibited low disease severity across all blast stages and locations. Stability analyses using AMMI, Eberhart and Russell's regression model, CV% and AMMI stability value (ASV) identified GE5812, GE1559, GE1026 and GE4796 as the most stable and resistant entries. GGE biplot analysis further confirmed their stable performance and delineated two mega-environments, with Bangalore emerging as the most representative and discriminative site for resistance screening. Genetic variability analysis revealed high heritability and genetic advance for grain yield, fodder yield and blast traits indicating predominance of additive gene action and amenability to selection. Cluster analysis grouped genotypes into five clusters with the most resistant and stable entries aligning with GGE and AMMI findings. MGIDI analysis identified genotypes with lowest MGIDI index that were closest to ideotype across multiple traits. The findings of current investigation provide critical insights into the genetic architecture of blast resistance and its interaction with agronomic traits. The identified stable and resistant genotypes serve as promising donors for resistance breeding and pre-breeding and lays a strong foundation for breeding high-yielding, blast-resistant finger millet cultivars adapted to diverse agroclimatic regions.</div></div>\",\"PeriodicalId\":20046,\"journal\":{\"name\":\"Physiological and Molecular Plant Pathology\",\"volume\":\"140 \",\"pages\":\"Article 102873\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physiological and Molecular Plant Pathology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0885576525003121\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological and Molecular Plant Pathology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0885576525003121","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

稻瘟病病菌引起的谷子瘟对印度高降雨农业生态区构成重大威胁。确定稳定和广谱耐药性对于维持生产力和确保粮食安全至关重要。在本研究中,在2022-2023年的Kharif期间,研究了58个不同基因型的指谷子对6个不同稻瘟病热点地区的指谷子病的抗性。在人工接种下的田间评价显示,不同地点的叶瘟严重程度存在显著的基因型差异,Mandya和Vizianagaram表现出最高的叶瘟严重程度。19例(32.76%)出现耐药反应,35例(60.34%)出现中度耐药反应。GE4837、GE1559、GE4796、GE5812、GE1026和VL149等基因型在所有爆发阶段和位置均表现出较低的疾病严重程度。利用AMMI、Eberhart和Russell的回归模型、CV%和AMMI稳定性值(ASV)进行稳定性分析,确定GE5812、GE1559、GE1026和GE4796是最稳定、最耐抗性的品种。GGE双图分析进一步证实了它们的稳定表现,并描绘了两个大型环境,班加罗尔成为耐药性筛选最具代表性和歧视性的地点。遗传变异分析表明,籽粒产量、饲料产量和稻瘟病性状具有较高的遗传力和遗传先进性,表明加性基因作用占优势,易于选择。聚类分析将基因型分为5个簇,其中最具抗性和最稳定的条目与GGE和AMMI结果一致。MGIDI分析发现,在多个性状中,MGIDI指数最低的基因型最接近理想型。目前的研究结果为稻瘟病抗性的遗传结构及其与农艺性状的相互作用提供了重要的见解。所鉴定的稳定和抗性基因型为抗性育种和预育种提供了良好的供体,为培育适应不同农业气候区的高产、抗稻瘟病品种奠定了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-environmental and multi-trait evaluation of elite finger millet genotypes for blast resistance using GGE biplot and stability analysis
Finger millet blast caused by Magnaporthe grisea poses a major threat, particularly in high-rainfall agroecological zones of India. Identifying stable and broad-spectrum resistance is crucial for sustaining productivity and ensuring food security. In the present study, a diverse panel of 58 finger millet genotypes was evaluated against finger millet blast across six distinct blast hotspot regions during the Kharif 2022–2023. Field evaluations under artificial inoculation revealed significant genotypic variability for blast severity across locations, with Mandya and Vizianagaram exhibiting the highest leaf blast severity. None of the genotypes found immune, however, 19 (32.76 %) showed resistant (R) and 35 (60.34 %) moderately resistant (MR) reactions. Genotypes such as GE4837, GE1559, GE4796, GE5812, GE1026 and VL149 consistently exhibited low disease severity across all blast stages and locations. Stability analyses using AMMI, Eberhart and Russell's regression model, CV% and AMMI stability value (ASV) identified GE5812, GE1559, GE1026 and GE4796 as the most stable and resistant entries. GGE biplot analysis further confirmed their stable performance and delineated two mega-environments, with Bangalore emerging as the most representative and discriminative site for resistance screening. Genetic variability analysis revealed high heritability and genetic advance for grain yield, fodder yield and blast traits indicating predominance of additive gene action and amenability to selection. Cluster analysis grouped genotypes into five clusters with the most resistant and stable entries aligning with GGE and AMMI findings. MGIDI analysis identified genotypes with lowest MGIDI index that were closest to ideotype across multiple traits. The findings of current investigation provide critical insights into the genetic architecture of blast resistance and its interaction with agronomic traits. The identified stable and resistant genotypes serve as promising donors for resistance breeding and pre-breeding and lays a strong foundation for breeding high-yielding, blast-resistant finger millet cultivars adapted to diverse agroclimatic regions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.30
自引率
7.40%
发文量
130
审稿时长
38 days
期刊介绍: Physiological and Molecular Plant Pathology provides an International forum for original research papers, reviews, and commentaries on all aspects of the molecular biology, biochemistry, physiology, histology and cytology, genetics and evolution of plant-microbe interactions. Papers on all kinds of infective pathogen, including viruses, prokaryotes, fungi, and nematodes, as well as mutualistic organisms such as Rhizobium and mycorrhyzal fungi, are acceptable as long as they have a bearing on the interaction between pathogen and plant.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信