Modification of the TOMCAST Model with Aerobiological Data for Management of Potato Early Blight
Department of Vegetal Biology and Soil Sciences, Faculty of Sciences, University of Vigo, As Lagoas, 32004 Ourense, Spain
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(12), 1872; https://doi.org/10.3390/agronomy10121872
Received: 21 October 2020
/
Revised: 20 November 2020
/
Accepted: 25 November 2020
/
Published: 27 November 2020
(This article belongs to the Special Issue Integrated Pest Management of Horticultural Crops)
The present study focuses on establishing thresholds of weather variables for predict early blight in potato crops. For this, the TOMCAST model was adjusted using weather variables and Alternaria conidia levels (mainly A. solani and A. alternata) during six growing seasons in A Limia (Northwest Spain). TOMCAST for the effective management of early blight considers leaf wetness and air temperature to calculate daily severity values (DSVs). Spearman correlations between temperature (minimum and average), mean temperature during leaf wetness period and Alternaria concentration showed the highest positive significant coefficients (0.386, 0.230 and 0.372, respectively; p < 0.01). Specifically, Alternaria levels higher than 50 spores/m3 were found the days with air mean temperature above 18 °C, more than 7 h of leaf wetness. Leaf wetness was decisive to estimate the concentration of Alternaria, resulting in a significant linear regression model (R2 = 0.41; p < 0.001). TOMCAST was adapted to the area, considering 10 °C the minimum threshold for the mean value of temperature during the wet period and 10–15 accumulated disease severity values (DSV). Using TOMCAST, it was possible to predict the first Alternaria peak in most of potato growing seasons. Combining aerobiological and meteorological data to control fungal diseases during crops are a useful tool for sustainable agriculture.
View Full-Text
Keywords:
potato crop; air Alternaria levels; aerobiological control; leaf wetness; temperature; linear regression; TOMCAST
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Meno, L.; Escuredo, O.; Rodríguez-Flores, M.S.; Seijo, M.C. Modification of the TOMCAST Model with Aerobiological Data for Management of Potato Early Blight. Agronomy 2020, 10, 1872. https://doi.org/10.3390/agronomy10121872
AMA Style
Meno L, Escuredo O, Rodríguez-Flores MS, Seijo MC. Modification of the TOMCAST Model with Aerobiological Data for Management of Potato Early Blight. Agronomy. 2020; 10(12):1872. https://doi.org/10.3390/agronomy10121872
Chicago/Turabian StyleMeno, Laura, Olga Escuredo, Maria S. Rodríguez-Flores, and Maria C. Seijo. 2020. "Modification of the TOMCAST Model with Aerobiological Data for Management of Potato Early Blight" Agronomy 10, no. 12: 1872. https://doi.org/10.3390/agronomy10121872
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
