Evaluation of Seed Yield Stability of Lentil Genotypes by Linear Mixed-Effects Models and Multitrait Stability Index

Q1 Agricultural and Biological Sciences Legume Science Pub Date : 2024-07-05 DOI:10.1002/leg3.245
Seyedeh Soudabeh Shobeiri, Payam Pezeshkpour, Bita Naseri
{"title":"Evaluation of Seed Yield Stability of Lentil Genotypes by Linear Mixed-Effects Models and Multitrait Stability Index","authors":"Seyedeh Soudabeh Shobeiri,&nbsp;Payam Pezeshkpour,&nbsp;Bita Naseri","doi":"10.1002/leg3.245","DOIUrl":null,"url":null,"abstract":"<p>To evaluate performance stability for 13 lentil genotypes, experiments were performed at three locations, Ardebil, Zanjan, and Maragheh, during three growing seasons (2011–2013). Environment, genotype, and interaction of genotype × environment were significantly effective on 100-seed weight, plant height, number of days to flowering, number of days to maturity, rate of seed filling, and single seed weight. Nominal grain yield biplot identified stability of 2, 12, 1, 3, and 6 genotypes with regard to grain yield. According to biplot analysis, Genotypes 1, 3, and 10 not only produced the highest grain yield but also showed the greatest stability in yield production. Genotypes 1, 6, 7, and 13 were identified as highly stable and productive based on grain yield, mean weight stability index, and weighted average of absolute scores of best linear unbiased predictions (WAASB). Genotypes 1 and 7 were best genotypes according to multitrait stability index (MTSI). Harmonic mean of the relative performance of genotypic predicted value (HMRPGV) recognized Genotypes 6, 1, 5, and 3 as highly stable, productive, and adaptable genotypes. In general, Genotype 1 indicated highest grain yield and desirable agronomic traits compared to other genotypes tested, suggesting this genotype as new cultivar.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.245","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Legume Science","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/leg3.245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

To evaluate performance stability for 13 lentil genotypes, experiments were performed at three locations, Ardebil, Zanjan, and Maragheh, during three growing seasons (2011–2013). Environment, genotype, and interaction of genotype × environment were significantly effective on 100-seed weight, plant height, number of days to flowering, number of days to maturity, rate of seed filling, and single seed weight. Nominal grain yield biplot identified stability of 2, 12, 1, 3, and 6 genotypes with regard to grain yield. According to biplot analysis, Genotypes 1, 3, and 10 not only produced the highest grain yield but also showed the greatest stability in yield production. Genotypes 1, 6, 7, and 13 were identified as highly stable and productive based on grain yield, mean weight stability index, and weighted average of absolute scores of best linear unbiased predictions (WAASB). Genotypes 1 and 7 were best genotypes according to multitrait stability index (MTSI). Harmonic mean of the relative performance of genotypic predicted value (HMRPGV) recognized Genotypes 6, 1, 5, and 3 as highly stable, productive, and adaptable genotypes. In general, Genotype 1 indicated highest grain yield and desirable agronomic traits compared to other genotypes tested, suggesting this genotype as new cultivar.

Abstract Image

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
用线性混合效应模型和多特征稳定性指数评估扁豆基因型的种子产量稳定性
为了评估 13 个扁豆基因型的表现稳定性,在三个生长季(2011-2013 年)期间,分别在 Ardebil、Zanjan 和 Maragheh 三个地点进行了试验。环境、基因型以及基因型 × 环境的交互作用对 100 粒种子重量、株高、开花天数、成熟天数、种子灌浆率和单粒种子重量有显著影响。名义谷物产量双变量分析表明,2、12、1、3 和 6 个基因型的谷物产量具有稳定性。根据双图谱分析,基因型 1、3 和 10 不仅谷物产量最高,而且产量稳定性也最强。根据谷物产量、平均重量稳定指数和最佳线性无偏预测绝对值的加权平均值(WAASB),基因型 1、6、7 和 13 被确定为高度稳定和高产的基因型。根据多性状稳定指数(MTSI),基因型 1 和 7 是最佳基因型。基因型预测值相对性能谐和平均值(HMRPGV)认为基因型 6、1、5 和 3 是高度稳定、高产和适应性强的基因型。总体而言,与其他受试基因型相比,基因型 1 显示出最高的谷物产量和理想的农艺性状,表明该基因型是新的栽培品种。
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
Legume Science
Legume Science Agricultural and Biological Sciences-Plant Science
CiteScore
7.90
自引率
0.00%
发文量
32
审稿时长
6 weeks
期刊最新文献
Cooking Time, Seed Darkening, and Iron and Zinc Concentrations of Selected Andean Genotypes of Common Bean The Potential Application of Mung Bean (Vigna radiata L.) Protein in Plant-Based Food Analogs: A Review Growth, Yield and Grain Quality of Cowpea (Vigna unguiculata (L.) Walp.) and Weed Flora as Affected by Physical and Chemical Methods of Weed Control Unveiling Phenotypic and Environmental Dynamics: Exploring Genetic Stability and Adaptability of Faba Bean Cultivars in Norwegian Climates Genetic Analysis for Seed Yield and Yield-Related Traits in Tepary Bean (Phaseolus acutifolius A. Gray) Under Drought-Stress and Non-stress Conditions
×
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