Empirically calibrated simulations reveal the limits of phenotypic clustering algorithms for biodiversity assessment in data-scarce crops
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PLOS One | https://doi.org/10.1371/journal.pone.0329254 December 17, 2025 13 / 14 Investigation: Abdel Kader Naino Jika. Methodology: Abdel Kader Naino Jika. Project administration: Abdel Kader Naino Jika. Software: Abdel Kader Naino Jika. Validation: Abdel Kader Naino Jika. Visualization: Abdel Kader Naino Jika. Writing – original draft: Abdel Kader Naino Jika. Writing – review & editing: Abdel Kader Naino Jika. References 1. Ibrahim Bio Yerima AR, Achigan-Dako EG, Aissata M, Sekloka E, Billot C, Adje COA, et al. Agromorphological characterization revealed three phenotypic groups in a region-wide germplasm of Fonio (Digitaria exilis (Kippist) Stapf) from West Africa. Agronomy. 2020;10(11):1653. https://doi. org/10.3390/agronomy10111653 2. Mabhaudhi T, Chimonyo VGP, Hlahla S, Massawe F, Mayes S, Nhamo L, et al. Prospects of orphan crops in climate change. Planta. 2019;250(3):695–708. https://doi.org/10.1007/s00425-019-03129-y PMID: 30868238 3. Padulosi S, Cawthorn DM, Meldrum G. Neglected and underutilized species: Why is research on these crops important? Front Sustain Food Syst. 2021;5:593711. 4. Vodouhè R, et al. Leveraging agrobiodiversity to achieve sustainable food systems. Sustainability. 2022;14(4):2332. 5. Pilling D, Bélanger J, Hoffmann I. Declining biodiversity for food and agriculture needs urgent global action. Nat Food. 2020;1(3):144–7. https://doi. org/10.1038/s43016-020-0040-y 6. Jombart T, Devillard S, Balloux F. Discriminant analysis of principal components: a new method for the analysis of genetically structured popula-
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