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

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
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Abstract

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.

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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
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。
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来源期刊
CiteScore
5.40
自引率
2.60%
发文量
193
审稿时长
69 days
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