Genome-wide association analysis revealed genetic markers linked to grain yield and yield related traits in finger millet grown in acidic soils

IF 3.9 2区 农林科学 Q1 AGRONOMY
Haftom Brhane, Teklehaimanot Haileselassie, Kassahun Tesfaye, Dagnachew Lule, Kibrom B. Abreha, Cecilia Hammenhag, Rodomiro Ortiz, Mulatu Geleta
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引用次数: 0

Abstract

Aim

Soil acidity has a major impact on the finger millet yield and productivity as tolerant cultivars that perform well in acidic soils are limited. This study aimed at evaluating major finger millet phenotypic traits under acidic soils followed by identifying associated markers.

Method

A total of 288 finger millet genotypes were field evaluated for 8 major phenotypic traits including grain yield under acid soil conditions at two independent locations (Bako and Gute) in Ethiopia. In parallel, the same genotypes were subjected to genotyping-by-sequencing to generate single nucleotide polymorphism markers to be used in the association panel.

Results

Phenotypic data analysis revealed significant phenotypic variation in all the targeted traits among the studied genotypes. Genotypes Ec-100093, Ec-215803, and Ec-203322 were relatively high-yielding, whereas genotypes Ec-229721 and Ec-242110 had the lowest grain yield across the two locations. The broad-sense heritability of the traits ranged from 0.04 for the number of effective tillers (NET) to 0.78 for days to emergence (DE). The marker-trait association analysis revealed 23 SNP markers significantly associated with one or more traits. Among the 23 significant markers, one marker associated with DE, seven with days to heading (DH), four with days to maturity (DM), one with plant height (PH), two with number of fingers, two with ear length (EL), three with the number of effective tillers (NET) and three with grain yield (GY).

Conclusions

The identified novel markers associated with the targeted traits will potentially be useful for genomics-driven finger millet improvement in acidic soils.

Abstract Image

全基因组关联分析揭示了与酸性土壤中种植的小米的谷物产量和产量相关性状有关的遗传标记
目的土壤酸度对黍产量和生产力有重大影响,因为在酸性土壤中表现良好的耐酸栽培品种有限。方法在埃塞俄比亚的两个独立地点(Bako 和 Gute)对总共 288 个小米基因型进行了田间评估,以确定其在酸性土壤条件下的 8 个主要表型性状,包括谷物产量。结果表型数据分析显示,所研究的基因型在所有目标性状上都存在显著的表型差异。基因型 Ec-100093、Ec-215803 和 Ec-203322 产量相对较高,而基因型 Ec-229721 和 Ec-242110 在两地的谷物产量最低。性状的广义遗传率从有效分蘖数(NET)的 0.04 到出苗天数(DE)的 0.78 不等。标记-性状关联分析显示,23 个 SNP 标记与一个或多个性状显著相关。在这 23 个显著标记中,1 个标记与出苗天数(DE)相关,7 个标记与起身天数(DH)相关,4 个标记与成熟天数(DM)相关,1 个标记与株高(PH)相关,2 个标记与指数相关,2 个标记与穗长(EL)相关,3 个标记与有效分蘖数(NET)相关,3 个标记与谷物产量(GY)相关。
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来源期刊
Plant and Soil
Plant and Soil 农林科学-农艺学
CiteScore
8.20
自引率
8.20%
发文量
543
审稿时长
2.5 months
期刊介绍: Plant and Soil publishes original papers and review articles exploring the interface of plant biology and soil sciences, and that enhance our mechanistic understanding of plant-soil interactions. We focus on the interface of plant biology and soil sciences, and seek those manuscripts with a strong mechanistic component which develop and test hypotheses aimed at understanding underlying mechanisms of plant-soil interactions. Manuscripts can include both fundamental and applied aspects of mineral nutrition, plant water relations, symbiotic and pathogenic plant-microbe interactions, root anatomy and morphology, soil biology, ecology, agrochemistry and agrophysics, as long as they are hypothesis-driven and enhance our mechanistic understanding. Articles including a major molecular or modelling component also fall within the scope of the journal. All contributions appear in the English language, with consistent spelling, using either American or British English.
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