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A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.)

  • Plant Genetics • Original Paper
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Abstract

Wheat is a foremost food grain of Pakistan and occupies a vital position in agricultural policies of the country. Wheat demand will be increased by 60% by 2050 which is a serious concern to meet this demand. Conventional breeding approaches are not enough to meet the demand of growing human population. It is paramount to integrate underutilized genetic diversity into wheat gene pool through efficient and accurate breeding tools and technology. In this study, we present the genetic analysis of a 312 diverse pre-breeding lines using DArT-seq SNPs seeking to elucidate the genetic components of emergence percentage, heading time, plant height, lodging, thousand kernel weight, and yield (Yd) which resulted in detection of 201 significant (p value < 10−3) and 61 highly significant associations (p value < 1.45 × 10−4). More importantly, chromosomes 1B and 2A carried loci linked to Yd in two different seasons, and an increase of up to 8.20% is possible in Yd by positive allele mining. We identified seven lines with > 4 positive alleles for Yd whose pedigree carried Aegilops squarrosa as one of the parents providing evidence that Aegilops species, apart from imparting resistance against biotic stresses, may also provide alleles for yield enhancement.

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Acknowledgments

The direct and indirect support of Sultan Mehmood Khan and Manzoour Ahmad is duly acknowledged.

Funding

Mian Abdur Rehman Arif received financial support from the International Foundation for Science (IFS, Sweden) (grant number C-5897-I).

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Authors and Affiliations

  1. Nuclear Institute for Agriculture and Biology College. Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Jhang Road, Faisalabad, Pakistan

    Saba Akram, Mian Abdur Rehman Arif & Amjad Hameed

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  1. Saba Akram
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  2. Mian Abdur Rehman Arif
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Contributions

Mian Abdur Rehman Arif conceived the idea. Amjad Hameed designed the experiments. Saba Akram performed the experiments. Saba Akram and Amjad Hameed performed the formal analysis. Saba Akram and Amjad Hameed wrote the manuscript. Mian Abdur Rehman reviewed the manuscript.

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Correspondence to Mian Abdur Rehman Arif.

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Akram, S., Arif, M.A.R. & Hameed, A. A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.). J Appl Genetics 62, 27–41 (2021). https://doi.org/10.1007/s13353-020-00593-1

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