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KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa

Cassava is an important staple in Sub-Sahara Africa. While its production has rapidly expanded to the dry savannahs of the continent, productivity is low in this ecology due to drought by farmers, extending the growth cycle from 12 months to 18, and sometimes 24 months to ensure better harvests. Yie...

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Autores principales: Ewa, Favour, Asiwe, Joseph N. A., Okogbenin, Emmanuel, Ogbonna, Alex C., Egesi, Chiedozie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163807/
https://www.ncbi.nlm.nih.gov/pubmed/34050196
http://dx.doi.org/10.1038/s41598-021-90131-8
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author Ewa, Favour
Asiwe, Joseph N. A.
Okogbenin, Emmanuel
Ogbonna, Alex C.
Egesi, Chiedozie
author_facet Ewa, Favour
Asiwe, Joseph N. A.
Okogbenin, Emmanuel
Ogbonna, Alex C.
Egesi, Chiedozie
author_sort Ewa, Favour
collection PubMed
description Cassava is an important staple in Sub-Sahara Africa. While its production has rapidly expanded to the dry savannahs of the continent, productivity is low in this ecology due to drought by farmers, extending the growth cycle from 12 months to 18, and sometimes 24 months to ensure better harvests. Yield is a complex trait and often difficult to manipulate for genetic gain in conventional breeding. Unfortunately, the dearth of molecular tools for decades has hampered molecular breeding (MB) to improve cassava productivity. This study was conducted to explore KASpar SNPs to generate more molecular tools to enhance genetic dissection of elite African germplasm for improved cassava productivity in dry environments of Africa where molecular resources are highly limited for crop improvement. To aid molecular genetic analysis of traits, a linkage map covering 1582.8 cM with an average resolution of 3.69 cM was constructed using 505 polymorphic SNP markers distributed over 21 linkage groups. Composite interval mapping using 267 F(1) progeny in initial QTL mapping identified 27 QTLs for productivity traits in the dry savannah of Nigeria. The availability of KASPar SNPs are anticipated to improve the implementation of MB for the development of high performing drought-tolerant cassava varieties in Africa.
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spelling pubmed-81638072021-06-01 KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa Ewa, Favour Asiwe, Joseph N. A. Okogbenin, Emmanuel Ogbonna, Alex C. Egesi, Chiedozie Sci Rep Article Cassava is an important staple in Sub-Sahara Africa. While its production has rapidly expanded to the dry savannahs of the continent, productivity is low in this ecology due to drought by farmers, extending the growth cycle from 12 months to 18, and sometimes 24 months to ensure better harvests. Yield is a complex trait and often difficult to manipulate for genetic gain in conventional breeding. Unfortunately, the dearth of molecular tools for decades has hampered molecular breeding (MB) to improve cassava productivity. This study was conducted to explore KASpar SNPs to generate more molecular tools to enhance genetic dissection of elite African germplasm for improved cassava productivity in dry environments of Africa where molecular resources are highly limited for crop improvement. To aid molecular genetic analysis of traits, a linkage map covering 1582.8 cM with an average resolution of 3.69 cM was constructed using 505 polymorphic SNP markers distributed over 21 linkage groups. Composite interval mapping using 267 F(1) progeny in initial QTL mapping identified 27 QTLs for productivity traits in the dry savannah of Nigeria. The availability of KASPar SNPs are anticipated to improve the implementation of MB for the development of high performing drought-tolerant cassava varieties in Africa. Nature Publishing Group UK 2021-05-28 /pmc/articles/PMC8163807/ /pubmed/34050196 http://dx.doi.org/10.1038/s41598-021-90131-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ewa, Favour
Asiwe, Joseph N. A.
Okogbenin, Emmanuel
Ogbonna, Alex C.
Egesi, Chiedozie
KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
title KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
title_full KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
title_fullStr KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
title_full_unstemmed KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
title_short KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
title_sort kaspar snp genetic map of cassava for qtl discovery of productivity traits in moderate drought stress environment in africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163807/
https://www.ncbi.nlm.nih.gov/pubmed/34050196
http://dx.doi.org/10.1038/s41598-021-90131-8
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