Criscuolo Nicola, Guarino Francesco, Angelini Claudia, Castiglione Stefano, Caruso Tonino, Cicatelli Angela
Department of Chemistry and Biology 'A. Zambelli', University of Salerno, 84084 Fisciano, Salerno, Italy.
Institute for Applied Mathematics 'Mauro Picone', CNR, 80131 Naples, Italy.
Plants (Basel). 2019 Aug 22;8(9):297. doi: 10.3390/plants8090297.
Morphometric, biochemical and genetic analyses were conducted on L. of Campania, an area of Southern Italy highly suited to the cultivation of olive trees and the production of extra virgin olive oil (EVOO). We aimed to characterize the distribution of morphological, biochemical and genetic diversity in this area and to develop a practical tool to aid traceability of oils. Phenotypes were characterized using morphometric data of drupes and leaves; biochemical and genetic diversity were assessed on the basis of the fatty acid composition of the EVOOs and with microsatellite markers, respectively. We provide an open-source tool as a novel R package titled ', useful in performing multivariate data analysis using a point and click interactive approach. These analyses highlight a clear correlation among the morphological, biochemical and genetic profiles of samples with four collection sites, and confirm that Southern Italy represents a wide reservoir of phenotypic and genetic variability.
对意大利南部坎帕尼亚大区的橄榄进行了形态测量、生化和遗传分析，该地区非常适合橄榄树种植和特级初榨橄榄油（EVOO）生产。我们旨在描述该地区形态、生化和遗传多样性的分布情况，并开发一种实用工具以辅助油类的可追溯性。使用核果和叶片的形态测量数据对表型进行了表征；分别根据EVOO的脂肪酸组成和微卫星标记评估了生化和遗传多样性。我们提供了一个开源工具，它是一个名为“ ”的新型R包，可用于通过点击式交互方法进行多变量数据分析。这些分析突出了四个采集地点样本的形态、生化和遗传特征之间的明显相关性，并证实意大利南部是表型和遗传变异性的广阔储存库。
