Graphical analysis of forage yield stability under high and low potential circumstances in 16 grass pea (Lathyrus sativus L.) genotype

B. Vaezi, Hamid Hatami Maleki, S. Yousefzadeh, Reza Pirooz, A. Jozeyan, R. Mohtashami, N. Sabaghnia
{"title":"Graphical analysis of forage yield stability under high and low potential circumstances in 16 grass pea (Lathyrus sativus L.) genotype","authors":"B. Vaezi, Hamid Hatami Maleki, S. Yousefzadeh, Reza Pirooz, A. Jozeyan, R. Mohtashami, N. Sabaghnia","doi":"10.14720/aas.2023.119.1.2227","DOIUrl":null,"url":null,"abstract":"Introducing grass pea genotypes with wide adaptability across diverse environments is important. Dry forage yield of 16 grass pea genotypes, tested in a RCBD design with three replicates across 4 locations over 3 seasons in Iran. The GGE biplot method based on SREG model facilitated a visual evaluation of the best genotypes. The first two principal components accounted for 77 % of the GE interaction and revealed six winning genotypes and four mega-environments. The average location coordinate (ALC) was used to examine both yield performance and stability and indicated IFLA-1913, IFLA-1961, IFLA-1812, and IFLA-2025 were the best genotypes. Based on the ideal-genotype approach, genotype G5 was better than all other genotypes and showed both high forage yield and stability across locations. According to G + GE sources of variations, the genotypes (IFLA-1913, IFLA-1961, IFLA-1812, and IFLA-2025) were the most suitable varieties for the grass pea-producing regions in semi-arid and rain-fed conditions. An ideal location should be both discriminating of the genotypes and representative of the average location, but we could not find such location in this research. Results confirmed that G5 (IFLA-1961) has high stability and high yield performance (4.92 t ha-1), and could introduce as favorable genotype for commercial variety release.","PeriodicalId":6884,"journal":{"name":"Acta agriculturae Slovenica","volume":"51 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta agriculturae Slovenica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14720/aas.2023.119.1.2227","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introducing grass pea genotypes with wide adaptability across diverse environments is important. Dry forage yield of 16 grass pea genotypes, tested in a RCBD design with three replicates across 4 locations over 3 seasons in Iran. The GGE biplot method based on SREG model facilitated a visual evaluation of the best genotypes. The first two principal components accounted for 77 % of the GE interaction and revealed six winning genotypes and four mega-environments. The average location coordinate (ALC) was used to examine both yield performance and stability and indicated IFLA-1913, IFLA-1961, IFLA-1812, and IFLA-2025 were the best genotypes. Based on the ideal-genotype approach, genotype G5 was better than all other genotypes and showed both high forage yield and stability across locations. According to G + GE sources of variations, the genotypes (IFLA-1913, IFLA-1961, IFLA-1812, and IFLA-2025) were the most suitable varieties for the grass pea-producing regions in semi-arid and rain-fed conditions. An ideal location should be both discriminating of the genotypes and representative of the average location, but we could not find such location in this research. Results confirmed that G5 (IFLA-1961) has high stability and high yield performance (4.92 t ha-1), and could introduce as favorable genotype for commercial variety release.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
16个草豆(Lathyrus sativus L.)基因型高、低势环境下牧草产量稳定性的图形分析
引入在不同环境中具有广泛适应性的草豆基因型非常重要。16种草豆基因型的干饲料产量,在伊朗3个季节、4个地点、3个重复的RCBD设计中进行测试。基于SREG模型的GGE双标图方法便于对最佳基因型进行直观评价。前两个主要成分占了转基因相互作用的77%,并揭示了6个获胜基因型和4个巨型环境。利用平均位置坐标(ALC)对产量性能和稳定性进行分析,结果表明IFLA-1913、IFLA-1961、IFLA-1812和IFLA-2025是最佳基因型。基于理想基因型方法,G5基因型表现出较高的产草量和跨地稳定性。根据变异的G + GE来源,基因型(IFLA-1913、IFLA-1961、IFLA-1812和IFLA-2025)是半干旱和雨养条件下草豆产区最适宜的品种。一个理想的定位应该是既能区分基因型又能代表平均定位,但我们在本研究中没有找到这样的定位。结果表明,G5 (IFLA-1961)具有高稳定性和高产性能(4.92 t ha-1),可作为有利基因型引进,作为商品品种投放。
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 去求助
来源期刊
Acta agriculturae Slovenica
Acta agriculturae Slovenica Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
0.90
自引率
0.00%
发文量
51
期刊介绍: Acta agriculturae Slovenica is a scientific journal published quarterly by the Agronomy, and the Zootechnical Departments of the Biotechnical Faculty, University of Ljubljana, Slovenia. Source of high quality research from the field of agronomy, zootechnics, applied biology and related fields from Slovenia and other countries.
期刊最新文献
und, in, die Interaktionen zwischen Blattläusen und Blattläusen in Zitrusplantagen in der Region Chlef (Nordwesten Algeriens) Bio-efficacy, persistence and residual toxicity of greener insecticides against predominant flea beetles on cabbage crop in Kashmir Kinetika plinov v vampu: primerjalna analiza dveh in vitro metod za ocenjevanje krme Preučevanje nihanja napada agrumovega ščitkarja (Dialeurodes citri [Ashmead, 1885]) in njegovih plenilcev v ekološki pridelavi pri različnih podnebnih razmerah: vzorčna raziskava iz severozahodne Alžirije Pesticide residues in samples of apples, lettuce and potatoes from integrated pest management in Slovenia from 2005-2009
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1