4.7 Article

Fungal Diseases in Two North-West Spain Vineyards: Relationship with Meteorological Conditions and Predictive Aerobiological Model

Journal

AGRONOMY-BASEL
Volume 10, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/agronomy10020219

Keywords

Botrytis; Erysiphe; Plasmopara; vineyards; incidence; multiple linear regression

Funding

  1. Xunta de Galicia (Conselleria de Educacion, Universidade e Formacion Profesional) [GRC GI-1809, ED431C 2019/07]
  2. Agrupacion Estrategica de Investigacion BioReDes [ED431E 2018/09]
  3. CITACA Strategic Partnership (Xunta de Galicia, Spain) [ED431E 2018/07]
  4. Economy and Competence Ministry of Spain Government [AGL2014-60412-R]
  5. FPU Formacion de Profesorado Universitario grant from Ministerio de Ciencia, Innovacion y Universidades

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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 59.4-70.9% of spore concentration variability. The Erysiphe equation explained between 57.6-61% and the Plasmopara explained between 39.9-55.8%. In general, we found better prediction results for mean daily concentrations than sporadic spore peaks.

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