Journal article

Publication year: 2022

Journal: Plants

Volume number: 11

Issue number: 19

ISSN: 2223-7747

Open access status: Gold

DOI Link: https://doi.org/10.3390/plants11192533

Publisher: MDPI

Abstract: 
Improvement of grain yield is the ultimate goal for wheat breeding under water-limited environments. In the present study, a high-density linkage map was developed by using genotyping-by-sequencing (GBS) of a recombinant inbred line (RIL) population derived from the cross between Iranian landrace #49 and cultivar Yecora Rojo. The population was evaluated in three locations in Iran during two years under irrigated and water deficit conditions for the agronomic traits grain yield (GY), plant height (PH), spike number per square meter (SM), 1000 kernel weight (TKW), grain number per spike (GNS), spike length (SL), biomass (BIO) and harvest index (HI). A linkage map was constructed using 5831 SNPs assigned to 21 chromosomes, spanning 3642.14 cM of the hexaploid wheat genome with an average marker density of 0.62 (markers/cM). In total, 85 QTLs were identified on 19 chromosomes (all except 5D and 6D) explaining 6.06-19.25% of the traits phenotypic variance. We could identify 20 novel QTLs explaining 8.87-19.18% of phenotypic variance on chromosomes 1A, 1B, 1D, 2B, 3A, 3B, 6A, 6B and 7A. For 35 out of 85 mapped QTLs functionally annotated genes were identified which could be related to a potential role in drought stress.

Harvard Citation style: Sisi, N., Stein, N., Himmelbach, A. and Mohammadi, S. (2022) High-Density Linkage Mapping of Agronomic Trait QTLs in Wheat under Water Deficit Condition using Genotyping by Sequencing (GBS), Plants, 11(19), Article 2533. https://doi.org/10.3390/plants11192533

APA Citation style: Sisi, N., Stein, N., Himmelbach, A., & Mohammadi, S. (2022). High-Density Linkage Mapping of Agronomic Trait QTLs in Wheat under Water Deficit Condition using Genotyping by Sequencing (GBS). Plants. 11(19), Article 2533. https://doi.org/10.3390/plants11192533