Comparative study on the stability and adaptability of different models to develop a high-yield inbred line from landrace rice varieties

IF 3.5 2区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Reny Herawati , Angelita Puji Lestari , Nurmegawati , Dwi Wahyuni Ganefianti , Atra Romeida
{"title":"Comparative study on the stability and adaptability of different models to develop a high-yield inbred line from landrace rice varieties","authors":"Reny Herawati ,&nbsp;Angelita Puji Lestari ,&nbsp;Nurmegawati ,&nbsp;Dwi Wahyuni Ganefianti ,&nbsp;Atra Romeida","doi":"10.1016/j.aoas.2021.12.004","DOIUrl":null,"url":null,"abstract":"<div><p>Multilocation trials are important in plant breeding carried out in the field of agronomy. A combination of agronomy and plant breeding is needed to improve plant characteristics and stability testing before releasing new varieties. A single stability analysis method may not be sufficiently representative to determine the performance of genotypes across environments, which sometimes lead to wrong decisions about genotype stability. The objective of this study was to estimate yield potential, adaptability, and stability of superior lines resulting from inbred landraces based on parametric and nonparametric, and a genotype main effect G × E interaction (GGE) biplot. Fourteen inbred lines from Bengkulu landrace rice varieties were evaluated in five environments from January 2019 to November 2020. The experiment was conducted using a complete randomized block design with two replications. The results showed that the highest yield grouping based on the G × E heat-map, genotypes G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), and G5(BKL1-B1-259-1), was found in Sungai Serut. There was a strong positive correlation (r = 1.00) between the mean yield (Y<sub>i</sub>) and YSi, S<sup>2</sup><sub>di</sub> and Di, and W<sub>i</sub><sup>2</sup> and StabVar. Meanwhile, the genotype occurred in the top third of the ranks (TOP) had a positive correlation of 0.78, indicating a suitable stability parameter to identify high-yield genotypes. There were four consistently stable lines based on parametric and nonparametric stability analyses: G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), G13(BKL4-B1-268-10), and G5(BKL1-B1-259-1). The GGE approach methods showed consistent stability, and lines G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G5(BKL1-B1-259-1), G7(BKL1-B3-261-3), and G6(BKL1-B2-260-2) had high-yield potential, wide adaptability, and stability, and are recommended for further testing as candidates for new varieties.</p></div>","PeriodicalId":54198,"journal":{"name":"Annals of Agricultural Science","volume":"66 2","pages":"Pages 184-192"},"PeriodicalIF":3.5000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0570178321000439/pdfft?md5=4bfe0f4fb06a11f0539fd0ef703570d0&pid=1-s2.0-S0570178321000439-main.pdf","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Agricultural Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0570178321000439","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 5

Abstract

Multilocation trials are important in plant breeding carried out in the field of agronomy. A combination of agronomy and plant breeding is needed to improve plant characteristics and stability testing before releasing new varieties. A single stability analysis method may not be sufficiently representative to determine the performance of genotypes across environments, which sometimes lead to wrong decisions about genotype stability. The objective of this study was to estimate yield potential, adaptability, and stability of superior lines resulting from inbred landraces based on parametric and nonparametric, and a genotype main effect G × E interaction (GGE) biplot. Fourteen inbred lines from Bengkulu landrace rice varieties were evaluated in five environments from January 2019 to November 2020. The experiment was conducted using a complete randomized block design with two replications. The results showed that the highest yield grouping based on the G × E heat-map, genotypes G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), and G5(BKL1-B1-259-1), was found in Sungai Serut. There was a strong positive correlation (r = 1.00) between the mean yield (Yi) and YSi, S2di and Di, and Wi2 and StabVar. Meanwhile, the genotype occurred in the top third of the ranks (TOP) had a positive correlation of 0.78, indicating a suitable stability parameter to identify high-yield genotypes. There were four consistently stable lines based on parametric and nonparametric stability analyses: G10(BKL2-B3-264-6), G7(BKL1-B3-261-3), G13(BKL4-B1-268-10), and G5(BKL1-B1-259-1). The GGE approach methods showed consistent stability, and lines G13(BKL4-B1-268-10), G10(BKL2-B3-264-6), G5(BKL1-B1-259-1), G7(BKL1-B3-261-3), and G6(BKL1-B2-260-2) had high-yield potential, wide adaptability, and stability, and are recommended for further testing as candidates for new varieties.

不同模式培育地方稻品种高产自交系的稳定性和适应性比较研究
多地点试验是农学领域植物育种的重要内容。在发布新品种之前,需要将农学和植物育种相结合,以改善植物特性和稳定性测试。单一的稳定性分析方法可能不足以代表基因型在不同环境下的表现,这有时会导致基因型稳定性的错误决策。本研究的目的是基于参数和非参数,以及基因型主效应G × E互作(GGE)双图来估计自交系的产量潜力、适应性和稳定性。2019年1月至2020年11月,对明古鲁地方稻品种的14个自交系进行了5种环境评价。试验采用完全随机区组设计,2个重复。结果表明,在G × E热图上,双溪油菜产量最高的基因型为G13(BKL4-B1-268-10)、G10(BKL2-B3-264-6)、G7(BKL1-B3-261-3)和G5(BKL1-B1-259-1)。平均产量(Yi)与YSi、S2di和Di、Wi2与StabVar呈显著正相关(r = 1.00)。同时,前1 / 3的基因型与top的正相关系数为0.78,为鉴定高产基因型提供了较好的稳定性参数。基于参数和非参数稳定性分析,有四条稳定谱线:G10(BKL2-B3-264-6)、G7(BKL1-B3-261-3)、G13(BKL4-B1-268-10)和G5(BKL1-B1-259-1)。GGE方法表现出一致性的稳定性,G13(BKL4-B1-268-10)、G10(BKL2-B3-264-6)、G5(BKL1-B1-259-1)、G7(BKL1-B3-261-3)和G6(BKL1-B2-260-2)具有高产潜力、广泛适应性和稳定性,建议作为候选新品种进行进一步试验。
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
Annals of Agricultural Science
Annals of Agricultural Science AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
12.60
自引率
0.00%
发文量
18
审稿时长
33 days
期刊介绍: Annals of Agricultural Sciences (AOAS) is the official journal of Faculty of Agriculture, Ain Shams University. AOAS is an open access peer-reviewed journal publishing original research articles and review articles on experimental and modelling research at laboratory, field, farm, landscape, and industrial levels. AOAS aims to maximize the quality of the agricultural sector across the globe with emphasis on the Arabian countries by focusing on publishing the high-quality applicable researches, in addition to the new methods and frontiers leading to maximizing the quality and quantity of both plant and animal yield and final products.
×
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