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Variability and genetic merits of white Guinea yam landraces in Nigeria

INTRODUCTION: Landraces represent a significant gene pool of African cultivated white Guinea yam diversity. They could, therefore, serve as a potential donor of important traits such as resilience to stresses as well as food quality attributes that may be useful in modern yam breeding. This study as...

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Autores principales: Agre, Paterne A., Edemodu, Alex, Obidiegwu, Jude E., Adebola, Patrick, Asiedu, Robert, Asfaw, Asrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940711/
https://www.ncbi.nlm.nih.gov/pubmed/36814760
http://dx.doi.org/10.3389/fpls.2023.1051840
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author Agre, Paterne A.
Edemodu, Alex
Obidiegwu, Jude E.
Adebola, Patrick
Asiedu, Robert
Asfaw, Asrat
author_facet Agre, Paterne A.
Edemodu, Alex
Obidiegwu, Jude E.
Adebola, Patrick
Asiedu, Robert
Asfaw, Asrat
author_sort Agre, Paterne A.
collection PubMed
description INTRODUCTION: Landraces represent a significant gene pool of African cultivated white Guinea yam diversity. They could, therefore, serve as a potential donor of important traits such as resilience to stresses as well as food quality attributes that may be useful in modern yam breeding. This study assessed the pattern of genetic variability, quantitative trait loci (QTLs), alleles, and genetic merits of landraces, which could be exploited in breeding for more sustainable yam production in Africa. METHODS: A total of 86 white Guinea yam landraces representing the popular landraces in Nigeria alongside 16 elite clones were used for this study. The yam landraces were genotyped using 4,819 DArTseq SNP markers and profiled using key productivity and food quality traits. RESULTS AND DISCUSSION: Genetic population structure through admixture and hierarchical clustering methods revealed the presence of three major genetic groups. Genome-wide association scan identified thirteen SNP markers associated with five key traits, suggesting that landraces constitute a source of valuable genes for productivity and food quality traits. Further dissection of their genetic merits in yam breeding using the Genomic Prediction of Cross Performance (GPCP) allowed identifying several landraces with high crossing merit for multiple traits. Thirteen landraces were identified as potential genitors to develop segregating progenies to improve multiple traits simultaneously for desired gains in yam breeding. Results of this study provide valuable insights into the patterns and the merits of local genetic diversity which can be utilized for identifying desirable genes and alleles of interest in yam breeding for Africa.
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spelling pubmed-99407112023-02-21 Variability and genetic merits of white Guinea yam landraces in Nigeria Agre, Paterne A. Edemodu, Alex Obidiegwu, Jude E. Adebola, Patrick Asiedu, Robert Asfaw, Asrat Front Plant Sci Plant Science INTRODUCTION: Landraces represent a significant gene pool of African cultivated white Guinea yam diversity. They could, therefore, serve as a potential donor of important traits such as resilience to stresses as well as food quality attributes that may be useful in modern yam breeding. This study assessed the pattern of genetic variability, quantitative trait loci (QTLs), alleles, and genetic merits of landraces, which could be exploited in breeding for more sustainable yam production in Africa. METHODS: A total of 86 white Guinea yam landraces representing the popular landraces in Nigeria alongside 16 elite clones were used for this study. The yam landraces were genotyped using 4,819 DArTseq SNP markers and profiled using key productivity and food quality traits. RESULTS AND DISCUSSION: Genetic population structure through admixture and hierarchical clustering methods revealed the presence of three major genetic groups. Genome-wide association scan identified thirteen SNP markers associated with five key traits, suggesting that landraces constitute a source of valuable genes for productivity and food quality traits. Further dissection of their genetic merits in yam breeding using the Genomic Prediction of Cross Performance (GPCP) allowed identifying several landraces with high crossing merit for multiple traits. Thirteen landraces were identified as potential genitors to develop segregating progenies to improve multiple traits simultaneously for desired gains in yam breeding. Results of this study provide valuable insights into the patterns and the merits of local genetic diversity which can be utilized for identifying desirable genes and alleles of interest in yam breeding for Africa. Frontiers Media S.A. 2023-02-06 /pmc/articles/PMC9940711/ /pubmed/36814760 http://dx.doi.org/10.3389/fpls.2023.1051840 Text en Copyright © 2023 Agre, Edemodu, Obidiegwu, Adebola, Asiedu and Asfaw https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Agre, Paterne A.
Edemodu, Alex
Obidiegwu, Jude E.
Adebola, Patrick
Asiedu, Robert
Asfaw, Asrat
Variability and genetic merits of white Guinea yam landraces in Nigeria
title Variability and genetic merits of white Guinea yam landraces in Nigeria
title_full Variability and genetic merits of white Guinea yam landraces in Nigeria
title_fullStr Variability and genetic merits of white Guinea yam landraces in Nigeria
title_full_unstemmed Variability and genetic merits of white Guinea yam landraces in Nigeria
title_short Variability and genetic merits of white Guinea yam landraces in Nigeria
title_sort variability and genetic merits of white guinea yam landraces in nigeria
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940711/
https://www.ncbi.nlm.nih.gov/pubmed/36814760
http://dx.doi.org/10.3389/fpls.2023.1051840
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