Cacao represents a crop of strategic importance for Peru due to its socioeconomic value, which has driven initiatives for the collection, characterization, and conservation of its genetic diversity, with a view to the future development of elite plants. As part of these efforts, a collection of 113 accessions was established, with agromorphological data were recorded over two consecutive growing seasons, comprising 33 quantitative and 18 qualitative descriptors. These data were analyzed using univariate and multivariate statistical approaches, as well as Bayesian inference models. The results revealed broad phenotypic diversity, with significant variation in quantitative fruit and seed descriptors (CV = 37.51%), which was accompanied by high heritability values (> 60%) and considerable genetic advance (> 20%). Furthermore, eight phenotypic groups were identified, with Cluster II distingu...