Abstract
Grapevine (Vitis vinifera L.) is one of the classical fruits of the Old World. Among the thousands of domesticated grapevine varieties and variable wild sylvestris populations, the range of variation in pip morphology is very wide. In this study we scanned representative samples of grape pip populations, in an attempt to probe the possibility of using the 3D tool for grape variety identification. The scanning was followed by mathematical and statistical analysis using innovative algorithms from the field of computer sciences. Using selected Fourier coefficients, a very clear separation was obtained between most of the varieties, with only very few overlaps. These results show that this method enables the separation between different Vitis vinifera varieties. Interestingly, when using the 3D approach to analyze couples of varieties, considered synonyms by the standard 22 SSR analysis approach, we found that the varieties in two of the considered synonym couples were clearly separated by the morphological analysis. This work, therefore, suggests a new systematic tool for high resolution variety discrimination.
Original language | English |
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Article number | 6545 |
Journal | Scientific Reports |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - 25 Apr 2018 |
Bibliographical note
Publisher Copyright:© The Author(s) 2018.
Funding
We wish to thank the Jewish National Fund (JNF) for their generous support of this work, and to the Israeli MOST for its general support. Leore Grosman and Uzy Smilansky, from the Computerized Archaeology Laboratory at the Hebrew University, are acknowledged for their advices and discussions at the beginning of this project.
Funders | Funder number |
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Jewish National Fund | |
Ministry of Science and Technology, Taiwan |
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National Natural History Collection of Seeds and Fruits at Bar-Ilan University
Melamed, Y. (Manager), Weiss, E. (Manager) & Kislev, M. (Other)
The Mina and Everard Goodman Faculty of Life SciencesEquipment/facility: Component