Xiuqing Gao
Genetic linkage map construction and identification of QTLs associated with agronomic traits in bambara groundnut (Vigna subterranea (L.) Verdc.) using DArTseq-based SNP markers
Gao, Xiuqing; Chai, Hui Hui; Ho, Wai Kuan; Kundy, Aloyce Callist; Mateva, Kumbirai Ivyne; Mayes, Sean; Massawe, Festo
Authors
Hui Hui Chai
Wai Kuan Ho
Aloyce Callist Kundy
Kumbirai Ivyne Mateva
Dr SEAN MAYES SEAN.MAYES@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Festo Massawe
Abstract
Bambara groundnut [Vigna subterranea (L.) Verdc.] is an underutilised, protein-rich and self-pollinating legume that can withstand high temperature and drought stress and is mainly grown in semi-arid Africa. In order to dissect the complexity of drought resistance and to use genomic tools for yield enhancement of bambara groundnut in response to drought stress, yield-related and morphological traits under drought-stressed (DS) and well-watered (WW) conditions were evaluated in the F3 and F4 segregating generations derived from a cross between two genotypes selected from landraces S19-3 (originally from Namibia) and DodR (originally from Tanzania). Significant quantitative trait loci (QTLs) for shoot dry weight (SDW) were mapped on LG10 accounting for 15.5% of the phenotypic variation explanation (PVE) under well-watered conditions and a putative quantitative trait locus (QTL) for the same trait mapped on LG10 with reduced PVE (10.10%) under drought-stressed conditions in the F3 segregating population. Significant QTLs associated with the number of seeds per plant (NS), number of double-seeded pods per plant (NDP), seed weight per plant (SW) and pod weight per plant (PW) were mapped on LG4 (nearest marker: 4181663 and 4175954) with overlapping confidence intervals and explained 21.9%, 21.8%, 23.5% and 19.9% of the PVE, respectively, under well-watered conditions in the F4 population, which could be considered as the major QTL involved in the control of these traits. Seven consensus QTLs for yield-related and morphological traits were mapped on LG2, LG3, LG4, LG7A and LG10. The study provides fundamental knowledge of QTLs associated with yield-related and morphological traits under drought-stressed and well-watered conditions in bambara groundnut, which is also essential for yield improvement of bambara groundnut in response to drought stress.
Citation
Gao, X., Chai, H. H., Ho, W. K., Kundy, A. C., Mateva, K. I., Mayes, S., & Massawe, F. (2023). Genetic linkage map construction and identification of QTLs associated with agronomic traits in bambara groundnut (Vigna subterranea (L.) Verdc.) using DArTseq-based SNP markers. Food and Energy Security, 12(1), Article e353. https://doi.org/10.1002/fes3.353
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 14, 2021 |
Online Publication Date | Feb 15, 2022 |
Publication Date | 2023-01 |
Deposit Date | May 30, 2022 |
Publicly Available Date | May 31, 2022 |
Journal | Food and Energy Security |
Electronic ISSN | 2048-3694 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 1 |
Article Number | e353 |
DOI | https://doi.org/10.1002/fes3.353 |
Keywords | Agronomy and Crop Science; Renewable Energy, Sustainability and the Environment; Food Science; Forestry |
Public URL | https://nottingham-repository.worktribe.com/output/7508976 |
Publisher URL | https://onlinelibrary.wiley.com/doi/10.1002/fes3.353 |
Files
Genetic linkage map construction
(1.2 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
A genomic toolkit for winged bean Psophocarpus tetragonolobus
(2024)
Journal Article
Winged bean (Psophocarpus tetragonolobus (L.) DC.)
(2023)
Book Chapter
Genetics
(2023)
Book Chapter
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search