Genetic Diversity and Population Structure of Elite Maize ( <scp> <i>Zea mays</i> </scp> ) Inbred Lines Using Phenotypic Data and Single Nucleotide Polymorphisms

ABSTRACT Maize ( Zea mays L.) is a staple food crop in Ethiopia, providing essential calories, minerals and vitamins to millions. Despite significant investments in developing high‐yielding varieties and hybrids, maize yields remain suboptimal because of various production constraints. Understanding the genetic diversity of adapted maize inbred lines is crucial for optimizing heterosis in hybrids and enhancing resistance to biotic and abiotic stresses. The present study was designed to integrate 11 agronomic traits and 3155 SNP markers to assess the genetic diversity among 107 maize inbred lines. Significant differences among the lines were observed for all measured traits. Cluster analysis of agronomic traits identified three distinct groups, with Group III comprising high‐yielding and late blight‐resistant lines. Genetic diversity assessment using SNPs also identified three groups, with pairwise Euclidean genetic distances ranging from 2.4 to 3.4. Cluster analysis using both data types consistently identified three distinct groups, with the largest genetic distance occurring between Groups II and III. Principal component analysis identified days to anthesis, days to silking and late blight resistance as key traits contributing to the observed phenotypic variation among the lines. Joint analysis of phenotypic and molecular data revealed notable discrepancies in clustering patterns, with only 12% agreement between the two methods, suggesting that phenotypic and genotypic data capture different dimensions of genetic variation. These findings offer valuable insights for selecting parents in breeding programmes focused on enhancing disease resistance, yield stability and adaptability in maize.

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Journal
Plant Breeding
Published
2025-09-12
DOI
https://doi.org/10.1111/pbr.70026
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
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article

Genetic Diversity and Population Structure of Elite Maize ( Zea mays ) Inbred Lines Using Phenotypic Data and Single Nucleotide Polymorphisms

Melkamu Elmyhun, Adefris Teklewold, Abebe Menkir, Alemu Abate et al.
Plant Breeding
Genetic Mapping and Diversity in Plants and Animals
article

Genetic Diversity and Population Structure of Elite Maize ( Zea mays ) Inbred Lines Using Phenotypic Data and Single Nucleotide Polymorphisms

Melkamu Elmyhun, Adefris Teklewold, Abebe Menkir, Alemu Abate, Ermias Abate
article en

Abstract

ABSTRACT Maize ( Zea mays L.) is a staple food crop in Ethiopia, providing essential calories, minerals and vitamins to millions. Despite significant investments in developing high‐yielding varieties and hybrids, maize yields remain suboptimal because of various production constraints. Understanding the genetic diversity of adapted maize inbred lines is crucial for optimizing heterosis in hybrids and enhancing resistance to biotic and abiotic stresses. The present study was designed to integrate 11 agronomic traits and 3155 SNP markers to assess the genetic diversity among 107 maize inbred lines. Significant differences among the lines were observed for all measured traits. Cluster analysis of agronomic traits identified three distinct groups, with Group III comprising high‐yielding and late blight‐resistant lines. Genetic diversity assessment using SNPs also identified three groups, with pairwise Euclidean genetic distances ranging from 2.4 to 3.4. Cluster analysis using both data types consistently identified three distinct groups, with the largest genetic distance occurring between Groups II and III. Principal component analysis identified days to anthesis, days to silking and late blight resistance as key traits contributing to the observed phenotypic variation among the lines. Joint analysis of phenotypic and molecular data revealed notable discrepancies in clustering patterns, with only 12% agreement between the two methods, suggesting that phenotypic and genotypic data capture different dimensions of genetic variation. These findings offer valuable insights for selecting parents in breeding programmes focused on enhancing disease resistance, yield stability and adaptability in maize.

Plant BreedingVol. 145(1)
Amhara Agricultural Research Institute (ET), Ethiopian Public Health Association (ET), International Maize and Wheat Improvement Center (ET), International Institute of Tropical Agriculture (NG), Bahir Dar University (ET)
Openalex Percentile: Top 71%
Genetic Mapping and Diversity in Plants and Animals
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