PJB-2020-487
A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.)
SABA AKRAM
Abstract
Wheat is a foremost food grain of Pakistan and tenanted a key position in agricultural policies. Wheat demand will be increased by 60 percent by 2050 which is serious concern to meet this demand. Conventional breeding approaches are not enough to meet demand of growing human population. It is paramount to integrate underutilized genetic diversity into wheat gene pool through efficient and accurate breeding tools. In this study, we present the genetic analysis of a 312 diverse pre-breeding using DArT-seq SNPs and phenotypic data sets. Lines seeking to elucidate the genetic components of emergence percentage (Em), heading time (Hd), plant height (Ht), lodging (Ldg), thousand kernal weight (TKW) and Yd which resulted in detection of 201 significant (p-value < 10-3) and 61 highly significant associations (p-value < 1.45 x 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 13 lines with > 4 positive alleles for Yd whose pedigree carried Aegilops squarossa as one of the parents providing evidence that Aegilops species, apart from imparting resistance against biotic stresses, may also provide alleles for yield enhancement.
To Cite this article:
Download
