Multi-Location Field Trials Revealed High-Yielding and Broad-Spectrum Resistance of Wheat (Triticum aestivum L.) to Leaf Rust (Puccinia triticina Eriks)

IF 1.2 4区 农林科学 Q3 PLANT SCIENCES
Wondimu Huluka, Geleta Dugassa Barka, Kassahun Tesfaye, Tilahun Mekonnen
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引用次数: 0

Abstract

Bread wheat plays a crucial role in global food and nutritional security and provides a dietary staple for more than 35% of the world population. In Ethiopia, the current national average wheat productivity of 3.33 t/ha is considerably lower than the global average due to the lack of improved varieties and leaf rust. This study aimed to identify high-yielding and durable leaf rust resistant genotypes for use in the subsequent wheat breeding programme. In this study, a total of 281 bread wheat genotypes were evaluated at three leaf rust hotspots namely Debre Zeit Agricultural Research Center (DARC), Chefe Sub station and Kulumsa Agricultural research Centers (KARC). The genotypes were evaluated for phonological traits, yield performance, and leaf rust resistance. Analysis of variance revealed highly significant differences (p ≤ 0.01) among genotypes, environments, and their interactions for agronomic and disease traits. The significant genotype by environment interaction indicates that the genotypes' performance for grain yield and leaf rust resistance differ across environments. The genotypes' yield performances at individual environments varied considerably, and the highest grain yield (12.5 t/ha) was observed at KARC. Grain yield exhibited a positive and statistically strong correlation with TKW and harvest index. Clustering based on grain yield performance grouped the wheat genotypes into five clusters. Principal Component Analysis revealed that the inclusion of the first two PCs can explain 99.7% of the total variations in grain yield performance of the genotypes. GGE biplot analysis identified that the wheat genotypes 111, 207, and 209 were high-yielding and more stable across the test sites. Among the tested wheat genotypes, 111, 46, 209, and 207 were the most resistant across all test environments. In this study, we identified new candidate genotypes with superior grain yield performance and stable leaf rust resistance for use as source material in wheat breeding programmes and contributed to increased and stable wheat production to ensure food and nutritional security in Ethiopia and beyond.

小麦(Triticum aestium L.)高产广谱抗叶锈病的多地田间试验
面包小麦在全球粮食和营养安全中发挥着至关重要的作用,为世界35%以上的人口提供主食。在埃塞俄比亚,由于缺乏改良品种和叶锈病,目前全国平均小麦产量为3.33吨/公顷,大大低于全球平均水平。本研究旨在鉴定高产耐久的抗叶锈病基因型,用于后续的小麦育种计划。本研究在Debre Zeit农业研究中心(DARC)、Chefe分站和Kulumsa农业研究中心(KARC) 3个叶锈病热点地区对281个面包小麦基因型进行了评价。对这些基因型进行了音系性状、产量性能和叶锈病抗性的评价。方差分析显示,基因型、环境及其相互作用对农艺性状和病害性状的影响极显著(p≤0.01)。受环境互作影响显著的基因型表明不同环境下基因型对籽粒产量和叶锈病抗性的影响存在差异。各基因型在不同环境下的产量表现差异较大,其中KARC的产量最高(12.5 t/ hm2)。籽粒产量与TKW和收获指数呈显著正相关。基于籽粒产量表现的聚类方法将小麦基因型分为5类。主成分分析结果表明,前两个基因型的籽粒产量性状变异可以解释99.7%的总变异。GGE双图分析结果表明,111、207和209基因型在各试验点均表现出较高的产量和稳定性。在所测试的小麦基因型中,111、46、209和207在所有测试环境中最具抗性。在这项研究中,我们确定了新的候选基因型,这些基因型具有优异的粮食产量性能和稳定的抗叶锈病能力,可作为小麦育种计划的来源材料,并有助于增加和稳定小麦产量,以确保埃塞俄比亚及其他地区的粮食和营养安全。
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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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