埃塞俄比亚不同小麦产区高产小麦基因型的基因型与环境互作及选择

Gadisa Alemu, Alemu Dabi, Nagesh Geleta, R. Duga, Tafesse Solomon, Habte Zegaye, Abebe Getamesay, Abebe Delesa, Dawit Asnake, Bayisa Asefa, Y. Shewaye, B. Abeyo, A. Badebo
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引用次数: 3

摘要

对不同环境下的小麦基因型进行评价是检验其性能稳定性和适应范围的必要条件。其中,通过在多环境试验中评估先进基因型的产量,通过开发适应性强、高产和抗锈病的基因型,面包小麦(Tritium aestivum L.)实现了增产。一个基因型对不同环境的适应性通常是通过它与不同生长环境的相互作用程度来检验的。本研究连续两年(2016年和2017年)对埃塞俄比亚8个地点的15种面包小麦基因型进行了研究。试验采用随机完全区设计,重复三次,旨在确定高产高级基因型,并将表现最佳的基因型作为最终用户的品种。基因型、环境和环境互作对粮食产量的影响极显著(P≤0.001)。AMMI方差分析表明,环境因子占籽粒产量平方和的52.34% (E-11基因型产量为5.76 t/ha ~ E-7基因型产量为1.31 t/ha)。其次是相互作用(22.95%)和基因型(11.31%)。基因型ETBW8260 (G4)表现出较高的平均产量和对试验环境的良好适应。选择ETBW8260 (G4)作为早熟、高产、抗黄锈、适合中低小麦产区的品种,其产量优于标准品种Ogolcho和当地品种Kakaba。AMMI-1双象限的位置和基因型分布广泛。根据YSI Ogolcho(15号)ETBW8303 (G2)、ETBW8454 (G12)、ETBW8261 (G5)、ETBW8406 (G10)、ETBW8310 (G3)和ETBW8260 (G4),面包小麦的基因型较为稳定。此外,基因型ETBW8260 (G4)的平均产量最高,稳定性好。因此,经过一年的品种验证试验,ETBW8260于2019年作为商品品种发布,并指定当地名称为“Balcha”,推荐用于国家小麦生产中低农业生态部分。
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Genotype × Environment Interaction and Selection of High Yielding Wheat Genotypes for Different Wheat-growing Areas of Ethiopia
Evaluation of wheat genotypes under different environments is essential for testing stability of their performance and range of adaptations. Where, enhanced grain yield has been achieved in bread wheat (Tritium aestivum L.) through the development of adaptable, high-yielding, and rust-resistant genotypes by evaluating advanced genotypes for yield in multi-environment trials. The adaptability of a genotype over diverse environments is usually tested by the degree of its interaction with different environments under which it is grown. This study examines fifteen bread wheat genotypes for two consecutive years (2016 and 2017) across eight locations in Ethiopia. The experiment was laid out using a Randomized Complete Block design and replicated three times intending to determine high-yielding advanced genotype and release best performing genotypes as a variety for the end-user. Highly significant (P ≤ 0.001) effects of genotype, environment, and genotype by environment interaction were observed for grain yield. The AMMI analysis of variance indicated that environments accounted for 52.34% of the total sum of squares for grain yield (genotype yields ranged from 5.76 t/ha at E-11 to 1.31 t/ha at E-7). followed by interaction (22.95%) and genotypes (11.31%).The genotype ETBW8260 (G4) exhibited high mean grain yield and well performed to the tested environments. The ETBW8260 (G4) was selected as early maturing, high yielding, resistant to yellow rust and fitting for low to midland wheat growing areas and has a yield advantage over the standard Ogolcho and the local Kakaba. Both locations and genotypes are dispersed widely in all quadrants in the AMMI-1 biplot. As per the YSI Ogolcho (#15) ETBW8303 (G2), ETBW8454 (G12), ETBW8261 (G5), ETBW8406 (G10), ETBW8310 (G3), and ETBW8260 (G4), the genotypes of bread wheat were stable. Besides, the genotype ETBW8260 (G4 has highest mean yield with good stability. Therefore, after a one-year variety verification trial, ETBW8260 is released as a commercial variety in 2019 and a designated local name called “Balcha” and recommended for low-medium part of wheat production agroecology of the country.
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