PCA Scores for Bael Genotypes: Morphological Traits and Genetic Diversity

A 2026 dataset by A. K. Singh contains PCA scores and cluster analysis results for 101 bael (Aegle marmelos) genotypes. The data likely includes scores from the first six principal components, which collectively explain 80.77% of total variability, and identifies superior genotypes CHESB-25 and CHESB-29. The dataset is intended to support breeding programs for developing higher-yield and better-quality cultivars.

Use Cases

• Identify superior genotypes for selective breeding based on PCA scores for traits like fruit weight and shell weight.
• Analyze genetic diversity and trait correlations for yield improvement based on hierarchical clustering results.
• Select trait-specific genotypes for hybridization programs based on the identified clusters, such as Cluster IV.
• Assess the impact of environmental factors on trait expression based on heritability estimates ranging from 0.07% to 92.23%.

Strengths

• Includes PCA results where the first six components explain 80.77% of total variability.
• Identifies specific superior genotypes (CHESB-25 and CHESB-29) and promising clusters (Cluster IV).
• Based on analysis of 101 bael germplasms, indicating a substantial sample size.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (13.5 KB), suggesting limited scope or summary data.

Provenance

Source

figshare

Collection Method

Likely derived from a study assessing genetic variability in Aegle marmelos based on morphological and qualitative traits.

Freshness

Last updated 2026-04-20 18:02:34; freshness should be verified.