应用 AMMI 和 GGE 双图对埃塞俄比亚 Dawuro 地区种植的马铃薯基因型进行基因型与环境的交互作用和产量稳定性分析

IF 4.8 Q1 AGRICULTURE, MULTIDISCIPLINARY Journal of Agriculture and Food Research Pub Date : 2024-07-06 DOI:10.1016/j.jafr.2024.101287
Berhanu Bilate Daemo, Zeleke Ashango
{"title":"应用 AMMI 和 GGE 双图对埃塞俄比亚 Dawuro 地区种植的马铃薯基因型进行基因型与环境的交互作用和产量稳定性分析","authors":"Berhanu Bilate Daemo,&nbsp;Zeleke Ashango","doi":"10.1016/j.jafr.2024.101287","DOIUrl":null,"url":null,"abstract":"<div><p>The performance of most crop genotypes is greatly influenced by the interactions between genotype and environment. Providing information on well-adapted and high-yielding potato genotypes in a given environment is paramount for small-holder farmers to enhance their productivity. The study aimed to understand GEI effect on tuber yield, and identify and select widely or specifically adapted high-yielding potato genotypes for production. Eleven genotypes were evaluated using a randomized complete block design with three replications. The results of the AMMI analysis of variance showed that tuber yield significantly (p ≤ 0.05) influenced genotype-environment interaction. This reveals that genotypes exhibit varying mean performance in tuber yield across different environments. The sum squared results showed that genotype (62.40 %) and environment (26.73 %) were the main contributors to tuber yield variation, while the genotype-environment interaction effect (10.87 %) contributed least to then tuber yield total variation. The AMMI, GGE biplot, and GSI analysis revealed Gudanie and Gorebella as superior genotypes in tuber yield, demonstrating high mean performance across tested environments. Thus, Gudanie and Gorebella have been chosen as the most broadly adaptable genotypes for production in all potato-growing agroecologies in the Dawuro zone. The GGE and AMMI biplot provided the genotype-by-environment interaction association among environments and genotypes.</p></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666154324003247/pdfft?md5=26c403542a1d40fa5302f4b80fdbd02c&pid=1-s2.0-S2666154324003247-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Application of AMMI and GGE biplot for genotype by environment interaction and yield stability analysis in potato genotypes grown in Dawuro zone, Ethiopia\",\"authors\":\"Berhanu Bilate Daemo,&nbsp;Zeleke Ashango\",\"doi\":\"10.1016/j.jafr.2024.101287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The performance of most crop genotypes is greatly influenced by the interactions between genotype and environment. Providing information on well-adapted and high-yielding potato genotypes in a given environment is paramount for small-holder farmers to enhance their productivity. The study aimed to understand GEI effect on tuber yield, and identify and select widely or specifically adapted high-yielding potato genotypes for production. Eleven genotypes were evaluated using a randomized complete block design with three replications. The results of the AMMI analysis of variance showed that tuber yield significantly (p ≤ 0.05) influenced genotype-environment interaction. This reveals that genotypes exhibit varying mean performance in tuber yield across different environments. The sum squared results showed that genotype (62.40 %) and environment (26.73 %) were the main contributors to tuber yield variation, while the genotype-environment interaction effect (10.87 %) contributed least to then tuber yield total variation. The AMMI, GGE biplot, and GSI analysis revealed Gudanie and Gorebella as superior genotypes in tuber yield, demonstrating high mean performance across tested environments. Thus, Gudanie and Gorebella have been chosen as the most broadly adaptable genotypes for production in all potato-growing agroecologies in the Dawuro zone. The GGE and AMMI biplot provided the genotype-by-environment interaction association among environments and genotypes.</p></div>\",\"PeriodicalId\":34393,\"journal\":{\"name\":\"Journal of Agriculture and Food Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666154324003247/pdfft?md5=26c403542a1d40fa5302f4b80fdbd02c&pid=1-s2.0-S2666154324003247-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agriculture and Food Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666154324003247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agriculture and Food Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666154324003247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

大多数作物基因型的表现在很大程度上受基因型与环境之间相互作用的影响。提供有关在特定环境中适应性强的高产马铃薯基因型的信息,对于小农提高生产率至关重要。该研究旨在了解基因工程影响对块茎产量的影响,并确定和选择广泛或特别适应生产的高产马铃薯基因型。采用三次重复的随机完全区组设计对 11 个基因型进行了评估。AMMI 方差分析结果表明,块茎产量对基因型-环境交互作用有显著影响(p ≤ 0.05)。这表明基因型在不同环境中表现出不同的块茎产量平均值。总和平方结果显示,基因型(62.40%)和环境(26.73%)是造成块茎产量变异的主要因素,而基因型-环境互作效应(10.87%)对块茎产量总变异的影响最小。AMMI、GGE 双图和 GSI 分析表明,Gudanie 和 Gorebella 是块茎产量的优势基因型,在各种测试环境中表现出较高的平均产量。因此,Gudanie 和 Gorebella 被选为在达乌罗地区所有马铃薯种植农业生态中适应性最广的基因型。GGE和AMMI双图提供了环境和基因型之间基因型与环境的相互作用关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Application of AMMI and GGE biplot for genotype by environment interaction and yield stability analysis in potato genotypes grown in Dawuro zone, Ethiopia

The performance of most crop genotypes is greatly influenced by the interactions between genotype and environment. Providing information on well-adapted and high-yielding potato genotypes in a given environment is paramount for small-holder farmers to enhance their productivity. The study aimed to understand GEI effect on tuber yield, and identify and select widely or specifically adapted high-yielding potato genotypes for production. Eleven genotypes were evaluated using a randomized complete block design with three replications. The results of the AMMI analysis of variance showed that tuber yield significantly (p ≤ 0.05) influenced genotype-environment interaction. This reveals that genotypes exhibit varying mean performance in tuber yield across different environments. The sum squared results showed that genotype (62.40 %) and environment (26.73 %) were the main contributors to tuber yield variation, while the genotype-environment interaction effect (10.87 %) contributed least to then tuber yield total variation. The AMMI, GGE biplot, and GSI analysis revealed Gudanie and Gorebella as superior genotypes in tuber yield, demonstrating high mean performance across tested environments. Thus, Gudanie and Gorebella have been chosen as the most broadly adaptable genotypes for production in all potato-growing agroecologies in the Dawuro zone. The GGE and AMMI biplot provided the genotype-by-environment interaction association among environments and genotypes.

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
5.40
自引率
2.60%
发文量
193
审稿时长
69 days
期刊最新文献
Revolutionizing cell-based protein: Innovations, market dynamics, and future prospects in the cultivated meat industry The effect of Lactiplantibacillus plantarum fermentation and blanching on microbial population, nutrients, anti-nutrients and antioxidant properties of fresh and dried mature Moringa oleifera leaves Identification of novel functional compounds from forest onion and its biological activities against breast cancer Impact of village savings and loans associations participation on cocoa farmers’ livelihood in the Western North Region, Ghana Numerical optimization of drying of white button mushroom (Agaricus bisporus) employing microwave and fluidized bed drying for preparing value added product
×
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