Evidence map›Paper›PMID 40877794›Full record

ArticleBMC genomics2025

Joint analysis of phenotypic and molecular data for genetic diversity assessment in extra-early orange maize (Zea Mays L.).

Tégawendé Odette Bonkoungou, Idris Ishola Adejumobi, Victor Olawale Adetimirin, Baffour Badu-Apraku, Paterne Angelot Agre, Kiswendsida Romaric Nanema, Adamu Masari Abubakar, Abdalla Dao, Wende Mengesha

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tégawendé Odette BonkoungouInstitut de l'Environnement et de Recherches Agricoles (INERA), 01 B.P.910, Bobo-Dioulasso 01, Bobo-Dioulasso, Burkina Faso. bonkoungoutegawendeodette@gmail.com.
Idris Ishola AdejumobiInternational Institute of Tropical Agriculture (IITA), Ibadan, 200001, Nigeria.
Victor Olawale AdetimirinDepartment of Crop and Horticultural Sciences, University of Ibadan, Ibadan, 200284, Nigeria.
Baffour Badu-AprakuInternational Institute of Tropical Agriculture (IITA), Ibadan, 200001, Nigeria.
Paterne Angelot AgreInternational Institute of Tropical Agriculture (IITA), Ibadan, 200001, Nigeria.
Kiswendsida Romaric NanemaBiosciences Laboratory, Joseph KI-Zerbo University, 7021, Ouagadougou, Burkina Faso.
Adamu Masari AbubakarInternational Institute of Tropical Agriculture (IITA), Ibadan, 200001, Nigeria.
Abdalla DaoInstitut de l'Environnement et de Recherches Agricoles (INERA), 01 B.P.910, Bobo-Dioulasso 01, Bobo-Dioulasso, Burkina Faso.
Wende MengeshaInternational Institute of Tropical Agriculture (IITA), Ibadan, 200001, Nigeria.

Funding

African Union through Pan African University Life and Earth Sciences Institute (including Health and Agriculture), University of Ibadan for a scholarship granted to the first author PAULESI/REG/21/111
6 · The paper itself

Abstract

backgroundMaize is one of the most important cereals in the world. To maximize the potential of hybrids from heterosis, knowledge of genetic diversity is crucial. This study aimed to examine the population structure and genetic diversity of new extra-early elite orange maize inbred lines of the IITA-Maize Improvement Program using phenotypic and genome-wide SNP markers. One hundred and eighty-seven orange inbred lines sourced from four populations were phenotyped under well-watered conditions and genotyped using the high-density DArTseq platform.

resultsExamination of the genetic dissimilarity heatmap based on the Gower matrix derived from phenotypic data showed low variability among the inbred lines, while moderate variability existed based on the identical-by-state (IBS) matrix from SNP markers. Gower matrix (Phenotypic data) assigned the 187 inbred lines into two distinct groups, while IBS matrix (SNP marker data) assigned the inbred lines into four groups. The cophenetic correlation between the two genetics groups (Gower and IBS) was low, indicating a lack of concordance. A joint matrix derived from the Gower and IBS matrices assigned the 187 inbred lines into three groups. Mantel correlation of the combined matrix showed 0.81 and 0.68 magnitudes with the Gower and IBS matrix, respectively.

conclusionThe outcome of this study provided new insights into the genetic diversity and population structure of newly developed extra-early orange inbred lines. By facilitating the optimal use of heterosis in hybrid maize breeding, these findings will contribute to the development of high-yield potential and provitamin A-rich varieties, ultimately improving food security and nutrition in the region.

Indexed as

Genetic VariationPhenotypeZea maysGenotypeHybrid VigorPlant BreedingPolymorphism, Single NucleotideGenetic distance matrixGenetic variabilityMantel correlationMorphological-based traitsSingle nucleotide polymorphism markers

Identifiers

PMID40877794
PMCPMC12392483

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.