Genetic resources for enhancing drought tolerance from a mini-core collection of spring bread wheat (Triticum aestivum L.)

IF 1.2 4区 农林科学 Q3 AGRONOMY
R. Mohammadi, S. Golkari
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引用次数: 5

Abstract

An enhanced level of drought tolerance in wheat (Triticum spp.) may be reached through combining agronomic and physiological traits associated with grain yield under drought conditions. We aimed to explore valuable diversity for the drought tolerance, existed in the core collection of Iranian spring bread wheat landraces. A number of 206 spring bread wheat accessions along with the check cultivar were assessed for grain yield, drought-adaptive traits, and estimated drought tolerance criteria during 2016-17 and 2017-18 growing seasons. Analysis of data using the best linear unbiased predictions (BLUPs) approach revealed that the genotype x environment (GE) interactions accounted for the highest variation in grain yield (36.23%) followed by 1000-kernel weight (35.39%), heading date (21.4%), days to maturity (16.38%), and plant height (5.83%). Using the hierarchical cluster analysis and developed pattern heat map based on the values for the agronomic traits and drought resistance indices, the accessions clustered into nine groups of different sets of agronomic and drought tolerance characteristics. Several accessions with high yield potential, early heading, optimal plant stature and high drought tolerance groups were identified. Three drought selection criteria of stress tolerance index (STI), geometric mean productivity (GMP) and mean productivity (MP) were more effective in identifying accessions producing higher yield under both drought and irrigated conditions. The superior accessions identified in this study may be explored further for breeding new wheat cultivars with enhanced level of drought tolerance.
提高春面包小麦(Triticum aestivum L.)小核心种质耐旱性的遗传资源
在干旱条件下,小麦(Triticum spp.)的抗旱性可以通过结合与产量相关的农艺和生理性状来提高。我们旨在探索伊朗春面包小麦地方品种核心品种中存在的耐旱性多样性。在2016-17和2017-18两季,对206份春小麦材料和对照品种进行了籽粒产量、干旱适应性状和预估耐旱标准的评价。利用最佳线性无偏预测(blps)方法分析数据发现,基因型与环境(GE)互作对籽粒产量的影响最大(36.23%),其次是千粒重(35.39%)、抽穗日(21.4%)、成熟期(16.38%)和株高(5.83%)。利用分层聚类分析和基于农艺性状和抗旱性指标值的模式热图,将不同农艺性状和抗旱性性状聚为9组。鉴定出具有高产潜力、早抽穗、最佳株高和高耐旱性的材料。抗旱性指数(STI)、几何平均生产力(GMP)和平均生产力(MP) 3个干旱选择标准在干旱和灌溉条件下均能较好地识别产量较高的品种。本研究鉴定出的优良材料可进一步用于选育耐旱水平更高的小麦新品种。
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来源期刊
Acta Scientiarum. Agronomy.
Acta Scientiarum. Agronomy. Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.40
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: The journal publishes original articles in all areas of Agronomy, including soil sciences, agricultural entomology, soil fertility and manuring, soil physics, physiology of cultivated plants, phytopathology, phyto-health, phytotechny, genesis, morphology and soil classification, management and conservation of soil, integrated management of plant pests, vegetal improvement, agricultural microbiology, agricultural parasitology, production and processing of seeds.
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