Article

Diagnosing phenotypic signal before clustering: A simulation-based decision framework for agrobiodiversity studies

2026-02-12

Abstract excerpt

<title>Abstract</title> <p> Unsupervised clustering is widely applied to phenotypic data to explore population structure and guide decisions in agrobiodiversity research, particularly for neglected and underutilized species where genomic information is scarce. However, phenotypic datasets often exhibit weak differentiation, strong trait covariance, heteroscedasticity, and uneven sampling, raising fundamental que...

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Literature Corpus work: b38225fb-08ae-5a7b-9e21-e26cdbeb67bd
DOI: 10.21203/rs.3.rs-8574343/v1

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