Investigation of Fruit Growth Patterns, Olive Fly Bactrocera oleae (Rossi) Infestation, and Genetic Diversity in Italian Olive Cultivars

The olive fruit fly Bactrocera oleae (Rossi, 1790) poses a significant threat to oliviculture worldwide, despite extensive chemical control measures. The susceptibility of olive (Olea europaea L.) to this pest varies among cultivars, with fruit size being a key factor of interest, as it can be assessed using non-destructive automated technologies. In this study, we investigated the oviposition preferences of the olive fruit fly in six Italian olive cultivars, tracking fertile and sterile punctures in relation to the diametric growth of the drupe. Additionally, we assessed the genetic diversity among cultivars using SSR markers, aiming to uncover a potential correlation between variation in the genetic diversity patterns and infestation levels. The results revealed that the relationship between fruit size and infestation level is non-linear and varies across different cultivars. The co-inertia analysis (COIA) performed on the genetic and infestation datasets revealed possible shared patterns of diversity and relationships between the two datasets. This study emphasizes the complex and diverse nature of the interaction between the olive fruit fly and its host, underscoring the importance of comprehending non-linear relationships to develop accurate genotypic-specific predictions and models.

Automated summary

In this study, the oviposition preferences of the olive fruit fly in six Italian olive cultivars were investigated, and the relationship between fruit size and infestation level was explored. The genetic diversity among cultivars was also assessed using SSR markers, aiming to find a potential correlation with infestation levels. The results showed a non-linear relationship between fruit size and infestation level, and co-inertia analysis revealed possible shared patterns of diversity and relationships between the genetic and infestation datasets. This study highlights the complex and diverse nature of the interaction between the olive fruit fly and its host, emphasizing the importance of understanding non-linear relationships for accurate genotypic-specific predictions and models.