Fruit Morphology and Clustering Analysis Reveals Diversity among Commercial Melons(Cucumis melo L.) in Indonesia

Melon (Cucumis melo L.) is a globally important horticultural crop known for its remarkable morphological and agronomic diversity.However, commercial varieties in Indonesia remain poorly characterized.Here, we evaluated 24 C. melo varieties using 14 quantitative and 4 qualitative fruit traits related to size, shape, rind, flesh, seed morphology, and sugar content.Analysis of variance revealed significant differences among varieties (p<0.05) for all traits.Principal component analysis (PC1 = 50.8%,PC2 = 36.7%)and hierarchical clustering identified three major phenotypic groups.Random forest modeling ranked trait importance based on %IncMSE, identifying seed cavity length, seed cavity index, and fruit diameter index as top predictors (importance score >10%).Integration of PCA, heatmap clustering, and variable importance plots confirmed these three traits as robust diagnostic markers.These findings highlight key morphological features for varietal classification and breeding, and provide a phenotypic framework for future genetic studies of melon in Indonesia.

Publication Details

Journal
International Journal of Agriculture and Biosciences
Published
2025-01-01
DOI
https://doi.org/10.47278/journal.ijab/2025.137
Primary Topic
Advances in Cucurbitaceae Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Fruit Morphology and Clustering Analysis Reveals Diversity among Commercial Melons(Cucumis melo L.) in Indonesia

International Journal of Agriculture and Biosciences
Advances in Cucurbitaceae Research
article

Fruit Morphology and Clustering Analysis Reveals Diversity among Commercial Melons(Cucumis melo L.) in Indonesia

article en

Abstract

Melon (Cucumis melo L.) is a globally important horticultural crop known for its remarkable morphological and agronomic diversity.However, commercial varieties in Indonesia remain poorly characterized.Here, we evaluated 24 C. melo varieties using 14 quantitative and 4 qualitative fruit traits related to size, shape, rind, flesh, seed morphology, and sugar content.Analysis of variance revealed significant differences among varieties (p<0.05) for all traits.Principal component analysis (PC1 = 50.8%,PC2 = 36.7%)and hierarchical clustering identified three major phenotypic groups.Random forest modeling ranked trait importance based on %IncMSE, identifying seed cavity length, seed cavity index, and fruit diameter index as top predictors (importance score >10%).Integration of PCA, heatmap clustering, and variable importance plots confirmed these three traits as robust diagnostic markers.These findings highlight key morphological features for varietal classification and breeding, and provide a phenotypic framework for future genetic studies of melon in Indonesia.

International Journal of Agriculture and Biosciences
Openalex Percentile: Top 73%
Advances in Cucurbitaceae Research
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Fruit Morphology and Clustering Analysis Reveals Diversity among Commercial Melons(Cucumis melo L.) in Indonesia · International Journal of Agriculture and Biosciences (2025) | TGRS Research Map | TGRS