Fungal Diseases in Two North-West Spain Vineyards: Relationship with Meteorological Conditions and Predictive Aerobiological Model
| Autor: | María Fernández-González, Jose A. Cortiñas Rodríguez, María Jesús Aira, Rosa Ana Vázquez-Ruiz, Estefanía González-Fernández |
|---|---|
| Přispěvatelé: | Universidade de Santiago de Compostela. Departamento de Botánica |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
multiple linear regression food.ingredient Plasmopara 01 natural sciences lcsh:Agriculture vineyards food 3103.08 Gestión de la Producción Vegetal botrytis Erysiphe Multiple linear regression Botrytis biology Phenology Incidence fungi lcsh:S food and beverages 04 agricultural and veterinary sciences biology.organism_classification Vineyards 2414.06 Hongos Spore Horticulture 3309.29 Vino 040103 agronomy & agriculture incidence 0401 agriculture forestry and fisheries Downy mildew Viticulture Agronomy and Crop Science Powdery mildew 010606 plant biology & botany |
| Zdroj: | Agronomy Volume 10 Issue 2 Investigo. Repositorio Institucional de la Universidade de Vigo Universidade de Vigo (UVigo) Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname Agronomy, Vol 10, Iss 2, p 219 (2020) |
| ISSN: | 2073-4395 |
| DOI: | 10.3390/agronomy10020219 |
| Popis: | Grey mould, powdery mildew, and downy mildew are the most frequent fungal diseases among vineyards worldwide. In the present study, we analysed the influence of the fungi causing these diseases (Botrytis, Erysiphe, and Plasmopara, respectively) on two viticulture areas from North-western (NW) Spain during three growth seasons (2016, 2017, and 2018). The obtained results showed the predominant concentration of the Botrytis airborne spores, mainly from the beginning of the Inflorescence emerge phenological stage (S-5) until the end of the Flowering phenological stage (S-6). Erysiphe and Plasmopara airborne spore peak concentrations were more localised around Flowering (S-6) and Development of fruits (S-7) phenological stages. We applied a Spearman´ s correlation test and a Principal Component Analysis to determine the influence of the meteorological parameters on the concentration of airborne spores. Taking into account the variables with the highest correlation coefficient, we developed multiple regression models to forecast the phytopathogenic fungal spore concentrations. The Botrytis model regression equation explained between 59.4&ndash 70.9% of spore concentration variability. The Erysiphe equation explained between 57.6&ndash 61% and the Plasmopara explained between 39.9&ndash 55.8%. In general, we found better prediction results for mean daily concentrations than sporadic spore peaks. |
| Databáze: | OpenAIRE |
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