TY - JOUR
T1 - Validation of a mechanistic model for predicting fruit scab infection on different loquat cultivars
AU - Gonzalez Dominguez, Elisa
AU - Rossi, Vittorio
AU - Farina, Vittorio
AU - Gianguzzi, Giuseppe
AU - Berbegal, Mónica
AU - Armengol, Josep
PY - 2017
Y1 - 2017
N2 - Scab, caused by Fusicladium eriobotryae, is the main disease affecting loquat (Eriobotrya japonica) in the Mediterranean basin. A mechanistic epidemiological model developed in Spain to predict infection of loquat fruit by conidia was assessed in the main loquat cultivated area of Italy (Sicily). A 3-year study (2014-2016) was carried out in an experimental orchard on three loquat cultivars: Algerie, Peluche and San Filipparo. For each cultivar, output of the model was compared with observed scab development on fruits. The scab epidemics observed were different in different years and cultivars, representing a suitable data set for model validation. The model correctly predicted loquat scab, as demonstrated by the goodness of fit between model predictions and observed disease incidence on fruits (R2> 0.85), confirming the accuracy and robustness of the model for predicting scab development in loquat orchards. The use of the model for fungicide scheduling against F. eriobotryae may improve the management of loquat scab by reducing the number of required fungicide applications.
AB - Scab, caused by Fusicladium eriobotryae, is the main disease affecting loquat (Eriobotrya japonica) in the Mediterranean basin. A mechanistic epidemiological model developed in Spain to predict infection of loquat fruit by conidia was assessed in the main loquat cultivated area of Italy (Sicily). A 3-year study (2014-2016) was carried out in an experimental orchard on three loquat cultivars: Algerie, Peluche and San Filipparo. For each cultivar, output of the model was compared with observed scab development on fruits. The scab epidemics observed were different in different years and cultivars, representing a suitable data set for model validation. The model correctly predicted loquat scab, as demonstrated by the goodness of fit between model predictions and observed disease incidence on fruits (R2> 0.85), confirming the accuracy and robustness of the model for predicting scab development in loquat orchards. The use of the model for fungicide scheduling against F. eriobotryae may improve the management of loquat scab by reducing the number of required fungicide applications.
KW - Agronomy and Crop Science
KW - Disease forecast
KW - Eriobotrya japonica
KW - Fusicladium eriobotryae
KW - Horticulture
KW - Integrated pest management
KW - Plant Science
KW - Agronomy and Crop Science
KW - Disease forecast
KW - Eriobotrya japonica
KW - Fusicladium eriobotryae
KW - Horticulture
KW - Integrated pest management
KW - Plant Science
UR - http://hdl.handle.net/10807/114541
UR - http://www.fupress.net/index.php/pm/article/download/21209/20623
U2 - 10.14601/Phytopathol_Mediterr-21209
DO - 10.14601/Phytopathol_Mediterr-21209
M3 - Article
SN - 0031-9465
VL - 56
SP - 400
EP - 408
JO - Phytopathologia Mediterranea
JF - Phytopathologia Mediterranea
ER -