Evidence map›Paper›PMID 33596835›Full record

ArticleBMC plant biology2021

Genetic diversity and population structure of early and extra-early maturing maize germplasm adapted to sub-Saharan Africa.

Baffour Badu-Apraku, Ana Luísa Garcia-Oliveira, César Daniel Petroli, Sarah Hearne, Samuel Adeyemi Adewale, Melaku Gedil

Abstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

6 authors.

Baffour Badu-AprakuInternational Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, 200001, Nigeria. b.badu-apraku@cgiar.org.ORCID http://orcid.org/0000-0003-0113-5487
Ana Luísa Garcia-OliveiraInternational Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, 200001, Nigeria. A.Oliveira@cgiar.org.ORCID http://orcid.org/0000-0001-8561-4172
César Daniel PetroliInternational Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45 El Batán, 56237, Texcoco, Mexico.ORCID http://orcid.org/0000-0003-0502-248X
Sarah HearneInternational Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45 El Batán, 56237, Texcoco, Mexico.ORCID http://orcid.org/0000-0003-2015-2450
Samuel Adeyemi AdewaleInternational Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, 200001, Nigeria.ORCID http://orcid.org/0000-0002-0331-7201
Melaku GedilInternational Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Rd, Ibadan, 200001, Nigeria.ORCID http://orcid.org/0000-0002-6258-6014

Funding

Bill and Melinda Gates Foundation OPP1134248
6 · The paper itself

Abstract

backgroundAssessment and effective utilization of genetic diversity in breeding programs is crucial for sustainable genetic improvement and rapid adaptation to changing breeding objectives. During the past two decades, the commercialization of the early and extra-early maturing cultivars has contributed to rapid expansion of maize into different agro-ecologies of sub-Saharan Africa (SSA) where maize has become an important component of the agricultural economy and played a vital role in food and nutritional security. The present study aimed at understanding the population structure and genetic variability among 439 early and extra-early maize inbred lines developed from three narrow-based and twenty-seven broad-based populations by the International Iinstitute of Tropical Agriculture Maize Improvement Program (IITA-MIP). These inbreds were genotyped using 9642 DArTseq-based single nucleotide polymorphism (SNP) markers distributed uniformly throughout the maize genome.

resultsAbout 40.8% SNP markers were found highly informative and exhibited polymorphic information content (PIC) greater than 0.25. The minor allele frequency and PIC ranged from 0.015 to 0.500 and 0.029 to 0.375, respectively. The STRUCTURE, neighbour-joining phylogenetic tree and principal coordinate analysis (PCoA) grouped the inbred lines into four major classes generally consistent with the selection history, ancestry and kernel colour of the inbreds but indicated a complex pattern of the genetic structure. The pattern of grouping of the lines based on the STRUCTURE analysis was in concordance with the results of the PCoA and suggested greater number of sub-populations (K = 10). Generally, the classification of the inbred lines into heterotic groups based on SNP markers was reasonably reliable and in agreement with defined heterotic groups of previously identified testers based on combining ability studies.

conclusionsComplete understanding of potential heterotic groups would be difficult to portray by depending solely on molecular markers. Therefore, planned crosses involving representative testers from opposing heterotic groups would be required to refine the existing heterotic groups. It is anticipated that the present set of inbreds could contribute new beneficial alleles for population improvement, development of hybrids and lines with potential to strengthen future breeding programs. Results of this study would help breeders in formulating breeding strategies for genetic enhancement and sustainable maize production in SSA.

Indexed as

Genetic VariationAdaptation, PhysiologicalAfrica South of the SaharaAllelesHybrid VigorPhylogenyPlant BreedingPolymorphism, Single NucleotideZea maysDArT markersGenetic diversityHeterotic groupingMaize (Zea mays L.)Population structure

Identifiers

PMID33596835
PMCPMC7888073

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LicenceCC BY
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Registered trials

None linked

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.