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Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)
Cendoya, M.; Martínez-Minaya, J.
; Dalmau, V.; Ferrer, A.; Saponari, M.; Conesa, D.; López-Quílez, A.; Vicent, A. (2020)
; Dalmau, V.; Ferrer, A.; Saponari, M.; Conesa, D.; López-Quílez, A.; Vicent, A. (2020)
The plant-pathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. ...
Comparison of Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence
Lázaro, E.; Makowski, D.; Martínez-Minaya, J.; Vicent, A. (2020)
; Vicent, A. (2020)
Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application ...
Disease progression of peach powdery mildew in Catalonia, Spain – Towards a decision support system based on degree-days to initiate fungicide spray programs
Marimon, N.; Eduardo, I.; Martínez-Minaya, J.; Vicent, A.; Luque, J. (2020)
; Vicent, A.; Luque, J. (2020)
The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold ...