Evidence map›Paper›PMID 32906687›Full record

ArticleGenes2020

Genomic Analysis of Selected Maize Landraces from Sahel and Coastal West Africa Reveals Their Variability and Potential for Genetic Enhancement.

Charles Nelimor, Baffour Badu-Apraku, Ana Luísa Garcia-Oliveira, Antonia Tetteh, Agre Paterne, Assanvo Simon-Pierre N'guetta, Melaku Gedil

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Genomic approaches to build de novo elite breeding gene pools from locally adapted landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Charles NelimorWest African Science Service Centre on Climate Change and Adapted Land-use (WASCAL), Université Felix Houphouët Boigny, Abidjan 22 BP 461, Côte d'Ivoire.ORCID 0000-0001-5112-4917
Baffour Badu-AprakuInternational Institute of Tropical Agriculture, Ibadan 200001, Nigeria.ORCID 0000-0003-0113-5487
Ana Luísa Garcia-OliveiraExcellence in Breeding (EiB) Platform, International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, Nairobi 00100, Kenya.ORCID 0000-0001-8561-4172
Antonia TettehDepartment of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, University Post Office Box PMP, Kumasi 00233, Ghana.
Agre PaterneInternational Institute of Tropical Agriculture, Ibadan 200001, Nigeria.ORCID 0000-0003-1231-2530
Assanvo Simon-Pierre N'guettaDepartment of Bioscience, Université Felix Houphouët Boigny, Abidjan 22 BP 461, Côte d'Ivoire.
Melaku GedilInternational Institute of Tropical Agriculture, Ibadan 200001, Nigeria.ORCID 0000-0002-6258-6014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Adaptation, PhysiologicalGene FlowGenetic EnhancementGenetic MarkersGenetic VariationGenome, PlantPhylogenyPlant BreedingZea maysGenetic MarkersDArTseq markersgenetic diversitylandracesmaize improvementpopulation structureWest Africa

Identifiers

PMID32906687
PMCPMC7565678

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.