Screening of Bread Wheat (Triticum aestivum L.) Genotypes for Waterlogged Area in Highlands of Ethiopia

Plant Pub Date : 2024-05-17 DOI:10.11648/j.plant.20241202.11
Endashaw Girma
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Abstract

Due to a serious waterlogging issue, Ethiopia's agricultural productivity has been severely limited, yielding much lower than expected results. In this study conducted on screening of 49 for first year and 60 for second year bread wheat genotypes selected from international nursery. An experiment was undertaken at two locations namely, Ginchi Agricultural Research Sub Center and Tulu Bolo farmer field in Ethiopia in 2018/19 and 2019/20 cropping seasons. The main objective of this study was to select best performed genotypes in waterlogged areas for next variety development and future breeding program. The experiment was conducted using apha lattice with three replications. Data on yield and associated traits were collected and analyzed using SAS version 9.3 software. The results revealed that the separate analysis of variance over the two years conducted at Ginchi showed statistically significant (P ≤ 0.01) differences among the genotypes for all phenotypic traits except Septoria disease severity, Number of tiller and biomass yield considered in this study. The results revealed that the separate analysis of variance over the two years conducted at Tulu bolo showed statistically non-significant (P <0.01) differences among the genotypes for all phenotypic traits except days to heading, plant height, Septoria disease severity agronomic score, hectoliter weight and thousand kernel weight considered in this study. In general from the two locations the maximum and minimum were revealed 29.85qt/ha and 2.32qt/ha respectively. This indicated that almost all genotypes were showed low performed and the wheat breeder give more attentions to provide resistance genotypes for waterlogging.
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埃塞俄比亚高原涝区面包小麦(Triticum aestivum L.)基因型的筛选
由于严重的水涝问题,埃塞俄比亚的农业生产力受到严重限制,产量远远低于预期。在这项研究中,对从国际苗圃中选出的 49 个一年生面包小麦基因型和 60 个二年生面包小麦基因型进行了筛选。2018/19和2019/20种植季节,在埃塞俄比亚的两个地点,即Ginchi农业研究分中心和Tulu Bolo农田进行了实验。这项研究的主要目的是为下一步的品种开发和未来的育种计划选择在水涝地区表现最好的基因型。试验采用α-格法,三次重复。使用 SAS 9.3 版软件收集并分析了产量和相关性状的数据。结果表明,在 Ginchi 进行的两年单独方差分析显示,除本研究考虑的七叶病严重程度、分蘖数和生物量产量外,基因型之间的所有表型性状差异均有统计学意义(P ≤ 0.01)。结果表明,在 Tulu bolo 进行的两年单独方差分析显示,除了本研究考虑的打顶天数、株高、七叶病严重程度农艺评分、百粒重和千粒重外,基因型之间在所有表型性状上的差异均不显著(P <0.01)。总体而言,两地的最大和最小产量分别为 29.85 千克/公顷和 2.32 千克/公顷。这表明几乎所有的基因型都表现出较低的抗涝性,因此小麦育种者应更加重视提供抗涝基因型。
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