Assessing Molecular Diversity of Tropical Maize Inbred Lines Using Single Nucleotide Polymorphic (SNP) Markers

Advances in genotyping technologies have changed how breeders study and manage maize genetics. Identification of single nucleotide polymorphisms (SNPs) helped researchers understand the molecular diversity among tropical maize (Zea mays L.) inbred lines, The present study was conducted to assess the molecular diversity and population structure of 107 tropical maize inbred lines collected from working germplasm programs using SNP markers. A total of 97 genome-wide SNP markers were employed for genotyping through the KASP assay. The polymorphism information content (PIC) values ranged from 0.018 to 0.375 with an overall mean of 0.285, indicating that the majority of markers were moderately informative. Hierarchical clustering grouped the inbred lines into three major clusters, reflecting clear genetic differentiation among the tropical maize inbred lines. Principal component analysis (PCA) further validated these findings by identifying highly divergent lines Viz., AHG-122, CIMMYT-22, BHG-20 and AHG-110-1. The congruence between UPGMA clustering and PCA confirmed the robustness of the diversity analysis. These findings provide valuable insights into the genetic relationships among tropical maize inbreds and highlight the utility of SNP markers in guiding the selection of parental lines for hybrid development.

Authors

Institutions

Publication Details

Journal
Journal of Experimental Agriculture International
Published
2025-10-15
DOI
https://doi.org/10.9734/jeai/2025/v47i103831
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Molecular Diversity of Tropical Maize Inbred Lines Using Single Nucleotide Polymorphic (SNP) Markers

P. H. Kuchanur, Sharanabasappa B. Yeri, Sudha Nair, Ayyanagouda Patil et al.
Journal of Experimental Agriculture International
Genetic Mapping and Diversity in Plants and Animals
article

Assessing Molecular Diversity of Tropical Maize Inbred Lines Using Single Nucleotide Polymorphic (SNP) Markers

P. H. Kuchanur, Sharanabasappa B. Yeri, Sudha Nair, Ayyanagouda Patil, P.H. Zaidi, M.T. Vinayan, B. Kisan, S G Sharanu
article en

Abstract

Advances in genotyping technologies have changed how breeders study and manage maize genetics. Identification of single nucleotide polymorphisms (SNPs) helped researchers understand the molecular diversity among tropical maize (Zea mays L.) inbred lines, The present study was conducted to assess the molecular diversity and population structure of 107 tropical maize inbred lines collected from working germplasm programs using SNP markers. A total of 97 genome-wide SNP markers were employed for genotyping through the KASP assay. The polymorphism information content (PIC) values ranged from 0.018 to 0.375 with an overall mean of 0.285, indicating that the majority of markers were moderately informative. Hierarchical clustering grouped the inbred lines into three major clusters, reflecting clear genetic differentiation among the tropical maize inbred lines. Principal component analysis (PCA) further validated these findings by identifying highly divergent lines Viz., AHG-122, CIMMYT-22, BHG-20 and AHG-110-1. The congruence between UPGMA clustering and PCA confirmed the robustness of the diversity analysis. These findings provide valuable insights into the genetic relationships among tropical maize inbreds and highlight the utility of SNP markers in guiding the selection of parental lines for hybrid development.

Journal of Experimental Agriculture InternationalVol. 47(10)
University of Agricultural Sciences, Bangalore (IN), International Maize and Wheat Improvement Center (IN), University of Agricultural Sciences Raichur (IN)
Openalex Percentile: Top 69%
Genetic Mapping and Diversity in Plants and Animals
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.