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A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.) by Saba Akram; Mian Abdur Rehman Arif; Amjad Hameed is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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

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) and 61 highly significant associations (p value 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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Author

Saba Akram; Mian Abdur Rehman Arif; Amjad Hameed

Publisher

Springer Science and Business Media LLC

Published

2020

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)