{"title":"埃塞俄比亚北部Kabuli鹰嘴豆基因型-环境互作及产量稳定性","authors":"Alemnesh Eskezia, Kelemu Nakachew, Meseret Tadesse, Mulusew Kassa","doi":"10.1002/leg3.70038","DOIUrl":null,"url":null,"abstract":"<p>Chickpea is a self-pollinated, diploid, and annual plant (2<i>x</i> = 2<i>n</i> = 16). After peas and beans, it is the most important legume in the world. Reduced chickpea production and productivity have been significantly influenced by the lack of improved and adaptable genotypes, poor management practices, biotic factors such as disease and pests, and abiotic factors including fluctuating rainfall and temperature. New chickpea genotypes introduced in Northern Ethiopia lack adaptability, stability, and performance evaluation, resulting in crop losses for farmers due to their susceptibility to the new and variable environment. To address these challenges, recently released high-yielding genotypes, alongside a standard check, were evaluated for adaptability, performance, and yield stability over 2 years (2022/2023 and 2023/2024) in three districts (Shebel, Awabel, and, Jabitenan) of Northern Ethiopia across six multienvironment field trials each employing a randomized complete block design with three replications. SAS 9.4 and R software were used, showing significant differences in crop phenological stages, growth, and yield parameters across years and locations for test traits. Genotype, location, and year interactions significantly influenced all Kabuli chickpea genotypes. The highest combined mean grain yield was obtained from genotype “Arerti” (2.42 t ha<sup>−1</sup>) followed by “Yelbie” (2.18 t ha<sup>−1</sup>), which explained their best performance among the tested genotypes. Analysis of variance revealed significant interactions and differences between genotypes and environments, with 15.6% of the variation in grain yield attributed to environmental factors, 6.4% to genotype differences, and 11.4% to genotype-by-environment interactions. The Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysis identified stable genotypes, representative environments, and interesting genotype–environment interactions. Genotypes Arerti, Chefe, and Yelbie were identified as stable based on Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysis. Environments Shebel and Jabitenan were identified as representative among all environments considered.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"7 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.70038","citationCount":"0","resultStr":"{\"title\":\"Genotype-By-Environment Interaction and Yield Stability of Kabuli Chickpea (Cicer arietinum L.) in Northern Ethiopia\",\"authors\":\"Alemnesh Eskezia, Kelemu Nakachew, Meseret Tadesse, Mulusew Kassa\",\"doi\":\"10.1002/leg3.70038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Chickpea is a self-pollinated, diploid, and annual plant (2<i>x</i> = 2<i>n</i> = 16). After peas and beans, it is the most important legume in the world. Reduced chickpea production and productivity have been significantly influenced by the lack of improved and adaptable genotypes, poor management practices, biotic factors such as disease and pests, and abiotic factors including fluctuating rainfall and temperature. New chickpea genotypes introduced in Northern Ethiopia lack adaptability, stability, and performance evaluation, resulting in crop losses for farmers due to their susceptibility to the new and variable environment. To address these challenges, recently released high-yielding genotypes, alongside a standard check, were evaluated for adaptability, performance, and yield stability over 2 years (2022/2023 and 2023/2024) in three districts (Shebel, Awabel, and, Jabitenan) of Northern Ethiopia across six multienvironment field trials each employing a randomized complete block design with three replications. SAS 9.4 and R software were used, showing significant differences in crop phenological stages, growth, and yield parameters across years and locations for test traits. Genotype, location, and year interactions significantly influenced all Kabuli chickpea genotypes. The highest combined mean grain yield was obtained from genotype “Arerti” (2.42 t ha<sup>−1</sup>) followed by “Yelbie” (2.18 t ha<sup>−1</sup>), which explained their best performance among the tested genotypes. Analysis of variance revealed significant interactions and differences between genotypes and environments, with 15.6% of the variation in grain yield attributed to environmental factors, 6.4% to genotype differences, and 11.4% to genotype-by-environment interactions. The Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysis identified stable genotypes, representative environments, and interesting genotype–environment interactions. Genotypes Arerti, Chefe, and Yelbie were identified as stable based on Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysis. 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引用次数: 0
摘要
鹰嘴豆是一种自花授粉的二倍体一年生植物(2x = 2n = 16)。在豌豆和黄豆之后,它是世界上最重要的豆类。鹰嘴豆产量和生产力的下降受到以下因素的严重影响:缺乏改良和适应性强的基因型、管理不善、病虫害等生物因素以及降雨和温度波动等非生物因素。在埃塞俄比亚北部引进的鹰嘴豆新基因型缺乏适应性、稳定性和性能评估,由于对新的和多变的环境的易感性,给农民造成了作物损失。为了应对这些挑战,研究人员在埃塞俄比亚北部的三个地区(Shebel、Awabel和Jabitenan)进行了六次多环境田间试验,评估了最近发布的高产基因型在两年(2022/2023和2023/2024)期间的适应性、性能和产量稳定性,每次试验采用随机完全区组设计,有三个重复。利用SAS 9.4和R软件分析,作物物候期、生长和产量参数在不同年份和不同地点之间存在显著差异。基因型、地理位置和年份相互作用显著影响所有卡布力鹰嘴豆基因型。综合平均产量最高的是“阿勒蒂”基因型(2.42 t ha - 1),其次是“耶尔比”(2.18 t ha - 1),说明它们在试验基因型中表现最好。方差分析显示,基因型与环境之间存在显著的交互作用和差异,其中环境因子占产量变异的15.6%,基因型差异占6.4%,基因型与环境的交互作用占11.4%。基因型和基因型×环境双图以及加性主效应和乘法互作分析确定了稳定的基因型、具有代表性的环境和有趣的基因型-环境互作。通过基因型和基因型×环境双图以及加性主效应和乘法互作分析,确定了Arerti、Chefe和Yelbie基因型为稳定型。Shebel和Jabitenan被认为是所有环境中具有代表性的。
Genotype-By-Environment Interaction and Yield Stability of Kabuli Chickpea (Cicer arietinum L.) in Northern Ethiopia
Chickpea is a self-pollinated, diploid, and annual plant (2x = 2n = 16). After peas and beans, it is the most important legume in the world. Reduced chickpea production and productivity have been significantly influenced by the lack of improved and adaptable genotypes, poor management practices, biotic factors such as disease and pests, and abiotic factors including fluctuating rainfall and temperature. New chickpea genotypes introduced in Northern Ethiopia lack adaptability, stability, and performance evaluation, resulting in crop losses for farmers due to their susceptibility to the new and variable environment. To address these challenges, recently released high-yielding genotypes, alongside a standard check, were evaluated for adaptability, performance, and yield stability over 2 years (2022/2023 and 2023/2024) in three districts (Shebel, Awabel, and, Jabitenan) of Northern Ethiopia across six multienvironment field trials each employing a randomized complete block design with three replications. SAS 9.4 and R software were used, showing significant differences in crop phenological stages, growth, and yield parameters across years and locations for test traits. Genotype, location, and year interactions significantly influenced all Kabuli chickpea genotypes. The highest combined mean grain yield was obtained from genotype “Arerti” (2.42 t ha−1) followed by “Yelbie” (2.18 t ha−1), which explained their best performance among the tested genotypes. Analysis of variance revealed significant interactions and differences between genotypes and environments, with 15.6% of the variation in grain yield attributed to environmental factors, 6.4% to genotype differences, and 11.4% to genotype-by-environment interactions. The Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysis identified stable genotypes, representative environments, and interesting genotype–environment interactions. Genotypes Arerti, Chefe, and Yelbie were identified as stable based on Genotype and Genotype × Environment biplot and Additive Main Effect and Multiplicative Interaction analysis. Environments Shebel and Jabitenan were identified as representative among all environments considered.