Phenotypic and Genetic Divergence among Tomato Genotypes: Insights for Parental Selection and Yield Improvement

This study assessed morphological diversity and genetic divergence among 25 tomato (Solanum lycopersicum L.) genotypes using 17 DUS-based descriptors and Mahalanobis D² statistics. The Shannon–Weaver diversity index (H′) indicated significant phenotypic variation, particularly in fruit traits. Uniformity in vegetative traits such as growth habit and stem pubescence (H′ = 0.00) reflected strong selection for determinate types suitable for commercial cultivation. In contrast, fruit shape (H′ = 1.61), locule number (H′ = 1.03), and total soluble solids (H′ = 1.00) exhibited notable variability, with moderate diversity observed in flowering time and leaf green intensity. Cluster analysis grouped genotypes into five clusters, showing considerable inter- and intra-cluster divergence. The highest intra-cluster distance was in Cluster IV (3.167), while the maximum inter-cluster distance occurred between Clusters II and V (5.519), identifying potential parents for heterosis breeding. Cluster V exhibited superior mean values for fruit number, diameter, ascorbic acid, and yield. Cluster III was notable for fruit weight and lycopene content, suggesting utility in nutritional improvement. Cluster I had the shortest crop cycle, beneficial for early production. Overall, the study highlights substantial phenotypic variability and divergence, offering valuable insights for selecting diverse parental lines in tomato breeding programs aimed at improving yield and quality traits.

Authors

Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2025-07-05
DOI
https://doi.org/10.9734/jabb/2025/v28i72567
Primary Topic
Agricultural Practices and Plant Genetics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenotypic and Genetic Divergence among Tomato Genotypes: Insights for Parental Selection and Yield Improvement

Anshuman Mishra, Aastik Jha, D. K. Upadhyay
1 links
Journal of Advances in Biology & Biotechnology
Agricultural Practices and Plant Genetics
article

Phenotypic and Genetic Divergence among Tomato Genotypes: Insights for Parental Selection and Yield Improvement

Anshuman Mishra, Aastik Jha, D. K. Upadhyay
article en

Abstract

This study assessed morphological diversity and genetic divergence among 25 tomato (Solanum lycopersicum L.) genotypes using 17 DUS-based descriptors and Mahalanobis D² statistics. The Shannon–Weaver diversity index (H′) indicated significant phenotypic variation, particularly in fruit traits. Uniformity in vegetative traits such as growth habit and stem pubescence (H′ = 0.00) reflected strong selection for determinate types suitable for commercial cultivation. In contrast, fruit shape (H′ = 1.61), locule number (H′ = 1.03), and total soluble solids (H′ = 1.00) exhibited notable variability, with moderate diversity observed in flowering time and leaf green intensity. Cluster analysis grouped genotypes into five clusters, showing considerable inter- and intra-cluster divergence. The highest intra-cluster distance was in Cluster IV (3.167), while the maximum inter-cluster distance occurred between Clusters II and V (5.519), identifying potential parents for heterosis breeding. Cluster V exhibited superior mean values for fruit number, diameter, ascorbic acid, and yield. Cluster III was notable for fruit weight and lycopene content, suggesting utility in nutritional improvement. Cluster I had the shortest crop cycle, beneficial for early production. Overall, the study highlights substantial phenotypic variability and divergence, offering valuable insights for selecting diverse parental lines in tomato breeding programs aimed at improving yield and quality traits.

Journal of Advances in Biology & BiotechnologyVol. 28(7)
Openalex Percentile: Top 88%
Agricultural Practices and Plant Genetics
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.