Delineating G × E interactions by AMMI method for root attributes in ashwagandha [Withania somnifera (L.) Dunal]

IF 1 4区 生物学 Q3 PLANT SCIENCES
Mithlesh Kumar, M. Patel, R. Chauhan, C. Tank, S. Solanki, R. Gami, N. Soni, Pratikkumar A. Patel, Pratikkumar A. Patel, H. Bhadauria, N. Patel, R. Patel, K. Rani
{"title":"Delineating G × E interactions by AMMI method for root attributes in ashwagandha [Withania somnifera (L.) Dunal]","authors":"Mithlesh Kumar, M. Patel, R. Chauhan, C. Tank, S. Solanki, R. Gami, N. Soni, Pratikkumar A. Patel, Pratikkumar A. Patel, H. Bhadauria, N. Patel, R. Patel, K. Rani","doi":"10.31742/ijgpb.80.4.10","DOIUrl":null,"url":null,"abstract":"In the present study, additive main effects and multiplicative interactions (AMMI) biplot analyses was used to dissect genotype x environment interaction (GEI) and to identify location specific and widely adapted genotypes for root branches, diameter and length in ashwagandha [Withania somnifera (L.) Dunal]. Trials were conducted in randomized complete block design (RCBD) with two replications over three consecutive years at three different locations. ANOVA analysis revealed environment, G×E interaction and genotype effects to contribute significantly (p less than 0.001) towards total sum of squares for root branches (61.00%, 22.18% and 14.00%); root diameter (51.06%, 24.26% and 15.34%) and root length (65.67%, 20.82% and 11.39%). Further, the GEI for these traits was mostly explained by the first, second and third principal component axis (IPCA1, IPCA2 and IPCA3). AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for root branches, diameter and length with few exceptions. Environmental contribution towards the genotypic performance from AMMI1 and AMMI2 analysis for root traits except environment Bhi16 contribution for root diameter and root length. AMMI1 biplots and simultaneous selection index (SSI) statistics identified SKA-11 as the most desirable genotype for root branches and length while SKA-26 and SKA-27 for root diameter. The ashwagandha genotypes identified for root attributes could be advocated either for varietal recommendation or in varietal development program.","PeriodicalId":13321,"journal":{"name":"Indian Journal of Genetics and Plant Breeding","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Genetics and Plant Breeding","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.31742/ijgpb.80.4.10","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 4

Abstract

In the present study, additive main effects and multiplicative interactions (AMMI) biplot analyses was used to dissect genotype x environment interaction (GEI) and to identify location specific and widely adapted genotypes for root branches, diameter and length in ashwagandha [Withania somnifera (L.) Dunal]. Trials were conducted in randomized complete block design (RCBD) with two replications over three consecutive years at three different locations. ANOVA analysis revealed environment, G×E interaction and genotype effects to contribute significantly (p less than 0.001) towards total sum of squares for root branches (61.00%, 22.18% and 14.00%); root diameter (51.06%, 24.26% and 15.34%) and root length (65.67%, 20.82% and 11.39%). Further, the GEI for these traits was mostly explained by the first, second and third principal component axis (IPCA1, IPCA2 and IPCA3). AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for root branches, diameter and length with few exceptions. Environmental contribution towards the genotypic performance from AMMI1 and AMMI2 analysis for root traits except environment Bhi16 contribution for root diameter and root length. AMMI1 biplots and simultaneous selection index (SSI) statistics identified SKA-11 as the most desirable genotype for root branches and length while SKA-26 and SKA-27 for root diameter. The ashwagandha genotypes identified for root attributes could be advocated either for varietal recommendation or in varietal development program.
用AMMI方法描述印度甘薯根属性的G × E相互作用[j]Dunal]
在本研究中,使用加性主效应和乘法相互作用(AMMI)双批次分析来剖析基因型x环境相互作用(GEI),并确定ashwagandha[Withania somnifera(L.)Dunal]的根枝、直径和长度的位置特异性和广泛适配的基因型。试验采用随机完全区组设计(RCBD),在三个不同的位置连续三年进行两次重复。方差分析显示,环境、G×E相互作用和基因型效应对根枝的总平方和有显著贡献(p小于0.001)(61.00%、22.18%和14.00%);根径(51.06%、24.26%和15.34%)和根长(65.67%、20.82%和11.39%)。此外,这些性状的GEI主要由第一、第二和第三主成分轴(IPCA1、IPCA2和IPCA3)解释。AMMI1和AMMI2双批次分析显示,除少数例外,根枝、直径和长度的基因型具有不同的稳定性。除环境Bhi16对根径和根长的贡献外,环境对根系性状的AMMI1和AMMI2分析的基因型表现的贡献。AMMI1双位点和同时选择指数(SSI)统计结果表明,SKA-11是根分枝和长度最理想的基因型,而SKA-26和SKA-27是根直径最理想的。根据根属性确定的ashwagandha基因型可以用于品种推荐或品种开发计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.80
自引率
10.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Advance the cause of genetics and plant breeding and to encourage and promote study and research in these disciplines in the service of agriculture; to disseminate the knowledge of genetics and plant breeding; provide facilities for association and conference among students of genetics and plant breeding and for encouragement of close relationship between them and those in the related sciences; advocate policies in the interest of the nation in the field of genetics and plant breeding, and facilitate international cooperation in the field of genetics and plant breeding.
×
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:481959085
Book学术官方微信