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| Authors: | M. Boselli, C. Corso, A. Monaco |
| Keywords: | leaf ampelographic parameters, cluster analysis, non-linear principal components analysis, grapevine |
Abstract:
In order to restore and enhance the heritage of grape varieties in the region of Campania (southern Italy), a preliminary survey was conducted to identify and characterise the many varieties found in the area.
Most of these old varieties are hard to classify, a task made more difficult by different names sometimes given to the same grape varieties in the different grape-growing areas within the region.
Our research aimed to characterise, using multivariate analysis techniques, a group of 11 white grape varieties in Campania: Asprinio, Biancatenera, Biancazita, Biancolella, Coda di Volpe, Falanghina dei Campi Flegrei, Falanghina Beneventana, Fiano, Forastera, Greco di Tufo and Pepella.
For the ampelographic study, the OIV codes relative to 29 adult leaf parameters were considered.
As OIV parameters are measured on an ordinal or qualitative scale, for the purposes of grapevine classification two appropriate multivariate analysis techniques were used: cluster analysis, using as a measurement of distance the metric (1- ), where is the Goodman-Kruskal coefficient, and non-linear principal components analysis.
Morphological analysis showed in particular that the two Falanghinas differed greatly while Greco di Tufo and Asprinio appeared particularly similar.
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