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Genomic analysis of selected maize landraces from Sahel and coastal West Africa reveals their variability and potential for genetic enhancement

Creator: Nelimor, C.
Creator: Badu-Apraku, B.
Creator: Garcia Oliveira, A.L.
Creator: Tetteh, A.Y.
Creator: Paterne, A.A.
Creator: N’guetta, A.S.
Creator: Gedil, M.
Year: 2020
URI: https://hdl.handle.net/10883/21174
Language: English
Publisher: MDPI
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Country focus: Sahel
Country focus: West Africa
Place of Publication: Basel (Switzerland)
Issue: 9
Volume: 11
DOI: 10.3390/genes11091054
Keywords: Maize Improvement
Keywords: DArT-Seq Markers
Description: Genetic adaptation of maize to the increasingly unpredictable climatic conditions is an essential prerequisite for achievement of food security and sustainable development goals in sub-Saharan Africa. The landraces of maize; which have not served as sources of improved germplasm; are invaluable sources of novel genetic variability crucial for achieving this objective. The overall goal of this study was to assess the genetic diversity and population structure of a maize panel of 208 accessions; comprising landrace gene pools from Burkina Faso (58), Ghana (43), and Togo (89), together with reference populations (18) from the maize improvement program of the International Institute of Tropical Agriculture (IITA). Genotyping the maize panel with 5974 DArTseq-SNP markers revealed immense genetic diversity indicated by average expected heterozygosity (0.36), observed heterozygosity (0.5), and polymorphic information content (0.29). Model-based population structure; neighbor-joining tree; discriminant analysis of principal component; and principal coordinate analyses all separated the maize panel into three major sub-populations; each capable of providing a wide range of allelic variation. Analysis of molecular variance (AMOVA) showed that 86% of the variation was within individuals; while 14% was attributable to differences among gene pools. The Burkinabe gene pool was strongly differentiated from all the others (genetic differentiation values >0.20), with no gene flow (Nm) to the reference populations (Nm = 0.98). Thus; this gene pool could be a target for novel genetic variation for maize improvement. The results of the present study confirmed the potential of this maize panel as an invaluable genetic resource for future design of association mapping studies to speed-up the introgression of this novel variation into the existing breeding pipelines.
Agrovoc: LAND RACES
Agrovoc: GENETIC DIVERSITY
Agrovoc: POPULATION STRUCTURE
Agrovoc: MAIZE
Agrovoc: CROP IMPROVEMENT
Agrovoc: GENETIC MARKERS
Related Datasets: https://www.mdpi.com/2073-4425/11/9/1054#supplementary
ISSN: 2073-4425
Journal: Genes
Article number: 1054


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  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

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