biostudies-literatureUnknown13Valeriano TThe quality defects of hazelnut fruits comprise changes in morphology and taste, and their intensity mainly depends on seasonal environmental conditions. The strongest off-flavor of hazelnuts is known as rotten defect, whose candidate causal agents are a complex of fungal pathogens, with <i>Diaporthe</i> as the dominant genus. Timely indications on the expected incidence of rotten defect would be essential for buyers to identify areas where hazelnut quality will be superior, other than being useful for farmers to have the timely indications of the risk of pathogens infection. Here, we propose a rotten defect forecasting model, and we apply it in the seven main hazelnut producing municipalities in Turkey. We modulate plant susceptibility to fungal infection according to simulated hazelnut pFrontiers in plant science766493https://www.ebi.ac.uk/biostudies/studies/S-EPMC9014268biostudies-literatureRotten Hazelnuts Prediction <i>via</i> Simulation Modeling-A Case Study on the Turkish Hazelnut Sector.PMC9014268Valeriano TGiustarini LGinaldi FFischer KBregaglio SCastello GfalseRotten Hazelnuts Prediction <i>via</i> Simulation Modeling-A Case Study on the Turkish Hazelnut Sector.The quality defects of hazelnut fruits comprise changes in morphology and taste, and their intensity mainly depends on seasonal environmental conditions. The strongest off-flavor of hazelnuts is known as rotten defect, whose candidate causal agents are a complex of fungal pathogens, with <i>Diaporthe</i> as the dominant genus. Timely indications on the expected incidence of rotten defect would be essential for buyers to identify areas where hazelnut quality will be superior, other than being useful for farmers to have the timely indications of the risk of pathogens infection. Here, we propose a rotten defect forecasting model, and we apply it in the seven main hazelnut producing municipalities in Turkey. We modulate plant susceptibility to fungal infection according to simulated hazelnut p2022-01-01T00:00:00Z20222025-04-05T15:07:08.821Z2025-04-05T15:07:08.821ZS-EPMC90142683544467810.3389/fpls.2022.766493