Claim · model-written summary
Pseudo-landmarks with linear discriminant analysis can predict leaf shapes.
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Verbatim
e1“can predict leaf shapes using pseudo‐landmarks through linear discriminant analysis”
Title
Procrustean pseudo‐landmark methods in Python to measure massive quantities of leaf shape data
Asia Hightower; Svea Hall; Ricardo Urquidi Camacho; et al. Applications in Plant Sciences 2026. doi:10.1002/aps3.70051
Other claims from this paper (4)
- Method / resource The authors created a repository of real leaves from eight experimental datasets to demonstrate the method.
- Method / resource Pseudo-landmarks with generalized Procrustes analysis compare all leaf shapes within and between species, using principal component analysis.
- Method / resource The leaf shape analysis maps shape differences as leaves grew around a rosette, showing the transition of shape across development (phyllotaxy).
- Method / resource Combining leaf shape with genetic data allows the relationship between leaf shape variation and genetic diversity to be investigated.