Stability analysis for fodder yield of oat (Avena sativa L.) genotypes using univariate statistical models under diverse environmental conditions in Ethiopia

Q3 Agricultural and Biological Sciences Ecological Genetics and Genomics Pub Date : 2023-09-29 DOI:10.1016/j.egg.2023.100202
Gezahagn Kebede , Walelign Worku , Habte Jifar , Fekede Feyissa
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Abstract

Oat (Avena sativa L.) is one of the most important dual-purpose cereal crops cultivated under diverse environmental conditions in Ethiopia. The fodder dry matter yield stability analysis was conducted using twenty-four oat genotypes across nine environments in a randomized complete block design with three replications. The study aimed to evaluate the magnitude of genotype by environment interaction and determine the stability of oat genotypes for fodder yield using 14 univariate stability parameters. The pooled analysis of variance revealed that the genotype, environment, and their interaction effects had variation (p < 0.001) for fodder yield. The contribution of environment for the total fodder yield variation was the highest (67.45%) followed by the interaction (22.73%) and genotypic (9.82%) effects. The results of stability analysis showed that high fodder yield-producing genotypes had stable performance using the stability parameters of genotypic superiority index (Pi), yield stability index (YSI), coefficient of determination (R2), and coefficient of variability (CVi), demonstrating that selection of oat genotypes using these stability parameters would be effective for fodder yield improvement. Moreover, Spearman's rank correlation coefficients indicated that the stability parameters of Pi, YSI, R2, and CVi had a significant positive association with fodder dry matter yield (FDMY). On the contrary, the FDMY had non-significant inverse relations with the remaining stability parameters except Bi, suggesting that the selection of oat genotypes using these stability parameters would not be effective for fodder yield improvement. Therefore, G6, G7, G9, G10, and G23 were desirable genotypes for fodder yield improvement programs in Ethiopia.

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埃塞俄比亚不同环境条件下燕麦(Avena sativa L.)基因型饲料产量的单变量统计模型稳定性分析
燕麦(Avena sativa L.)是埃塞俄比亚在不同环境条件下种植的最重要的两用谷物作物之一。饲料干物质产量稳定性分析是在九个环境中使用24种燕麦基因型进行的,采用三次重复的随机完全区组设计。本研究旨在通过环境相互作用评估基因型的大小,并使用14个单变量稳定性参数确定燕麦基因型对饲料产量的稳定性。方差的汇总分析显示,基因型、环境及其相互作用对饲料产量具有变异性(p<0.001)。环境对总饲料产量变异的贡献最大(67.45%),其次是相互作用(22.73%)和基因型效应(9.82%)。稳定性分析结果表明,利用基因型优势指数(Pi)、产量稳定性指数(YSI)、决定系数(R2)和变异系数(CVi)的稳定性参数,高产饲料基因型表现稳定,证明使用这些稳定性参数选择燕麦基因型对于提高饲料产量是有效的。Spearman秩相关系数表明,Pi、YSI、R2和CVi的稳定性参数与饲料干物质产量(FDMY)呈正相关。相反,FDMY与除Bi外的其余稳定性参数呈非显著负相关,表明使用这些稳定性参数选择燕麦基因型对提高饲料产量无效。因此,G6、G7、G9、G10和G23是埃塞俄比亚饲料增产计划的理想基因型。
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来源期刊
Ecological Genetics and Genomics
Ecological Genetics and Genomics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.80
自引率
0.00%
发文量
44
期刊介绍: Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms
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