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Comparison of image acquisition techniques and morphometric methods to distinguish between Vitis vinifera subspecies and cultivars

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Abstract

For decades, it has been known that the morphology of wild Vitis vinifera (grape) pips differ from domesticated ones. Based on these differences, computerised image analysis and morphometrics allow us to obtain excellent results to identify the domestication status of archaeological grape pips. However, various image analysis methodologies and morphometric methods have been applied in previous studies for this purpose. Our study has examined, for the first time, the different techniques of digital image acquisition (digital camera vs. scanner) of grape pips, with the aim of testing the identification performance using both traditional and geometric morphometric features to distinguish wild from domestic grape pips. The performance of different morphometric methods established that all image acquisition techniques and morphometric methods correctly distinguished between wild and domestic grapes. The use of the combined geometric morphometric features of both dorsal and lateral views of the pips provided the best accuracy in distinguishing individual cultivars.

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Acknowledgements

The work of M. Ucchesu received funding from the European Union Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement (No 101019563 – VITALY). The work of L. Bouby received funding from ANR MICA project (agreement No ANR-22-CE27-0026). We are grateful to the Centre de Ressources Biologiques de la Vigne, Domaine de Vassal-Montpellier (INRAE) and to the Agenzia per la Ricerca in Agricoltura della Regione Sardegna (AGRIS) germplasm collection which provided pips from modern cultivated varieties used in this study.

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Correspondence to Mariano Ucchesu.

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Communicated by S. M. Valamoti.

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Ucchesu, M., Ivorra, S., Pastor, T. et al. Comparison of image acquisition techniques and morphometric methods to distinguish between Vitis vinifera subspecies and cultivars. Veget Hist Archaeobot (2024). https://doi.org/10.1007/s00334-024-00992-y

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  • DOI: https://doi.org/10.1007/s00334-024-00992-y

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