Genotype by Environmental Interaction and Measurements of Stability on Eight Orange-Fleshed Sweet Potato (Ipomoea batatas) Varieties: East Gojjam Zone, North West Ethiopia

IF 1.8 Q2 AGRONOMY
Zebider Temesgen Nigussie, S. Gebeyehu, S. Mulugeta, Yalmtesfa Firew Guadie
{"title":"Genotype by Environmental Interaction and Measurements of Stability on Eight Orange-Fleshed Sweet Potato (Ipomoea batatas) Varieties: East Gojjam Zone, North West Ethiopia","authors":"Zebider Temesgen Nigussie, S. Gebeyehu, S. Mulugeta, Yalmtesfa Firew Guadie","doi":"10.1155/2022/3117092","DOIUrl":null,"url":null,"abstract":"Sweet potato is grown for its nature of versatility and adaptability and is a secure food crop in southern parts of Ethiopia. Therefore, this research has been conducted to determine the magnitude of GEI for yield and yield-related traits and to evaluate the adaptability and stability of eight orange-fleshed sweet potato varieties across locations in North West Ethiopia. The experiment was conducted from 2018 to 2019 under rainfed conditions in four districts of East Gojjam Zone (Baso liben, Gozamin, Gonchasiso enesie, and Enbsie Sar mider) using eight OFSP varieties (Kulfo, Kabode, Vitea, Naspot 13, Naspot 12, Nekawango, RW-11, and Mayai). Data were collected on yield and yield-related traits. Genstat statistical software was used to deploy both combined analysis of variance and meta-analysis of the collected data. The combined ANOVA revealed that environment, varieties, and their interaction affect the tested varieties significantly across locations. Debremedhanite was the high-yielding environment (35.9 t/ha), and Kulfo was the best-performing variety (30.67 t/ha) over different environments. Based on the AMMI result, the environment contributes at large (48.49%) to the total variation of variety performance followed by variety (27.18%) and their interaction (24.23%). The testing locations fall in two mega environments that implies that variety recommendation needs to be specific for each mega environment. Hence, Kulfo and Naspot 12 are recommended for Debremedhanit, Arasma, and Degesech based on yield potential and stability of the varieties, and Naspot 13 is recommended for Yelamgej, Eneba, and Getesemani testing locations. This result is useful for breeders and nutritionists who are working on breeding of sweet potatoes and nutrition.","PeriodicalId":30608,"journal":{"name":"Advances in Agriculture","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2022/3117092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

Sweet potato is grown for its nature of versatility and adaptability and is a secure food crop in southern parts of Ethiopia. Therefore, this research has been conducted to determine the magnitude of GEI for yield and yield-related traits and to evaluate the adaptability and stability of eight orange-fleshed sweet potato varieties across locations in North West Ethiopia. The experiment was conducted from 2018 to 2019 under rainfed conditions in four districts of East Gojjam Zone (Baso liben, Gozamin, Gonchasiso enesie, and Enbsie Sar mider) using eight OFSP varieties (Kulfo, Kabode, Vitea, Naspot 13, Naspot 12, Nekawango, RW-11, and Mayai). Data were collected on yield and yield-related traits. Genstat statistical software was used to deploy both combined analysis of variance and meta-analysis of the collected data. The combined ANOVA revealed that environment, varieties, and their interaction affect the tested varieties significantly across locations. Debremedhanite was the high-yielding environment (35.9 t/ha), and Kulfo was the best-performing variety (30.67 t/ha) over different environments. Based on the AMMI result, the environment contributes at large (48.49%) to the total variation of variety performance followed by variety (27.18%) and their interaction (24.23%). The testing locations fall in two mega environments that implies that variety recommendation needs to be specific for each mega environment. Hence, Kulfo and Naspot 12 are recommended for Debremedhanit, Arasma, and Degesech based on yield potential and stability of the varieties, and Naspot 13 is recommended for Yelamgej, Eneba, and Getesemani testing locations. This result is useful for breeders and nutritionists who are working on breeding of sweet potatoes and nutrition.
埃塞俄比亚东北部Gojjam地区8个橙肉甘薯(Ipomoea batatas)品种的环境互作基因型及稳定性测定
甘薯因其多功能性和适应性而被种植,是埃塞俄比亚南部一种安全的粮食作物。因此,本研究旨在确定产量和产量相关性状的GEI大小,并评估埃塞俄比亚西北部8个橙肉甘薯品种在不同地点的适应性和稳定性。试验于2018年至2019年在Gojjam东部4个区(Baso liben、Gozamin、Gonchasiso enesie和Enbsie Sar mider)进行,采用8个OFSP品种(Kulfo、Kabode、Vitea、Naspot 13、Naspot 12、Nekawango、RW-11和Mayai)在旱作条件下进行。收集了产量和产量相关性状的数据。使用Genstat统计软件对收集的数据进行联合方差分析和元分析。综合方差分析表明,环境、品种及其相互作用对不同地点的被测品种有显著影响。在不同环境下,Debremedhanite是高产品种(35.9 t/ha), Kulfo是表现最好的品种(30.67 t/ha)。AMMI结果显示,环境对品种表现总变异的贡献最大(48.49%),其次是品种(27.18%)及其相互作用(24.23%)。测试地点落在两个大型环境中,这意味着品种推荐需要针对每个大型环境进行特定的推荐。因此,根据产量潜力和稳定性,推荐Kulfo和Naspot 12用于Debremedhanit、Arasma和Degesech,推荐Naspot 13用于Yelamgej、Eneba和Getesemani试验点。这一结果对从事红薯育种和营养研究的育种家和营养学家很有帮助。
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
Advances in Agriculture
Advances in Agriculture Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.60
自引率
0.00%
发文量
100
审稿时长
18 weeks
×
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