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Natural variation further increases resilience of sorghum bred for chronically drought-prone environments.

Authors :
Dong H
Birhan T
Abajebel N
Wakjira M
Mitiku T
Lemke C
Vadez V
Paterson AH
Bantte K
Source :
Journal of experimental botany [J Exp Bot] 2022 Sep 12; Vol. 73 (16), pp. 5730-5744.
Publication Year :
2022

Abstract

Drought stress is one of the major constraints for crop production in the Sahel region of Africa. Here, we explore the potential to use natural genetic variation to build on the inherent drought tolerance of an elite sorghum cultivar, Teshale, that has been bred for Ethiopian conditions including chronic drought. We evaluated a backcross nested-association mapping population using 12 diverse founder lines crossed with Teshale under three drought-prone environments in Ethiopia. All 12 populations averaged higher head exsertion and lower leaf senescence than the recurrent parent in the two most stressful environments, reflecting new drought resilience mechanisms from the donors. A total of 154 quantitative trait loci (QTLs) were detected for eight drought-responsive traits, and their validity was supported by the fact that 113 (73.4%) overlapped with QTLs previously detected for the same traits, concentrated in regions previously associated with 'stay-green' traits. Allele effects showed that some favourable alleles are already present in the Ethiopian cultivar; however, the exotic donors offer rich scope for increasing drought resilience. Using model-selected SNPs associated with the eight traits identified in this study and three in a companion study, phenotypic prediction accuracies for grain yield were equivalent to genome-wide SNPs and were significantly better than random SNPs, indicating that the selected traits are predictive of sorghum grain yield.<br /> (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1460-2431
Volume :
73
Issue :
16
Database :
MEDLINE
Journal :
Journal of experimental botany
Publication Type :
Academic Journal
Accession number :
35605043
Full Text :
https://doi.org/10.1093/jxb/erac217