Genetic Diversity Based on Morphological Traits of 19 Maize Genotypes Using Principal Component Analysis and GT Biplot
A. M. M. Al-Naggar, M. M. Shafik, R. Y. M. Musa
Annual Research & Review in Biology · pp. 68–85 · Published 14 Apr 2020
10.9734/arrb/2020/v35i230191Abstract
Among the phenotypic, biochemical, and molecular methods employed in assessment of genetic diversity, the phenotypic method has proven efficient for the assessment, description and classification of germplasm collections to enhance their use in maize breeding. The objectives of the present study were: (i) to assess the extent of genetic diversity in a collection of Egyptian commercial maize hybrids and populations, through field evaluation under water and N stressed and non-stressed conditions, using morphological data based on Principle Component Analysis (PCA), (ii) to measure the genetic distance among these genotypes using UPGMA cluster analysis and (iii) to assess the relationship between grain yield and yield-related traits of maize genotypes using GT-biplot analysis. A two-year field experiment was conducted in a split-split plot design with 3 replications, where 2 irrigation regimes, three N rates and 19 maize genotypes occupied the main plots, sub plots and sub-sub plots, respectively. The germplasm was assessed for 21 agronomic traits. Highly significant differences (P ≤ 0.01) were observed among the maize hybrids and populations for all measured traits. Results of the GT biplot in the present study indicated that high values of 100-Kernel weight, ears/plant, kernels/plant, kernels/row, plant height, nitrogen use efficiency, nitrogen utilization efficiency, and grain nitrogen content and short ASI could be considered reliable secondary traits for improving grain yield under stressed and non-stressed conditions. The highest genetic distance was found between G9 (SC-2055) and each of G15 (American Early Dent), G18 (Midland) or G19 (Ried Type). The Agglomerative Hierarchical Clustering based on phenotypic data assigned the maize genotypes into five groups. The different groups obtained can be useful for deriving the inbred lines with diverse features and diversifying the heterotic pools.
Cited by 20
Alim Wulandari Karima, Ratna Kartika Putri, Bambang Sapta Purwoko · Biodiversitas Journal of Biological Diversity · 2021
Zhenlu Hua, Xiaoyang Liu, Runzhe Zhang · International Journal of Food Science and Technology · 2025
Clara R. Azzam, Fadia M. Sultan, Mokhtar S. Rizk · Beni-Suef University Journal of Basic and Applied Sciences · 2023
Adekemi Stanley, Abebe Menkir, Agre Paterne · Plants · 2020
Gayacharan, Ragini Bhardwaj, Kamla Venkteshwaran · Genetic Resources and Crop Evolution · 2026
A.M.M. AL-NAGGAR, A.M. SOLIMAN, M.H. HUSSEIN · SABRAO Journal of Breeding and Genetics · 2022
Eduarda Santos Silveira, Maisa Nascimento Carvalho, Beatriz Barreto de Lima · Matéria (Rio de Janeiro) · 2021
H.P. Meena, M. Sujatha, Praduman Yadav · Indian Journal of Genetics and Plant Breeding (The) · 2023
Emmanuel Andrea Mathiang, Hyeon Park, So Jung Jang · Genes & Genomics · 2023
Muhammad Ijaz, Adnan Noor Shah, Sami Ul-Allah · 2024
Related research
- Approximate Prediction of Chemical Changes in Peanut Oil during Intermittent Deep Frying Process Using UV-Visible Spectroscopy — shares topic coverage
- Principal Component Analysis in Biometric, Pulp Quality and Anatomical Properties of Thronless Bamboo (Bambusa balcooa) — shares topic coverage
- Weather Based Pest Forewarning Model for Major Insect Pests of Rice – An Effective Way for Insect Pest Prediction — shares topic coverage
- Genetic Variability and Association Analysis of Lisianthus (Eustoma grandiflorum (Raf) Shinn) Advanced Lines Under Mid Hill Conditions of Himachal Pradesh, India — shares topic coverage
- Genetic Divergence in Micronutrient Rich wheat– A Tool to Identify Diverse Parents — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
20
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.