10.6084/m9.figshare.5772483.v1
Fernando Carrara Cosmi
Fernando Carrara
Cosmi
Kaique dos Santos Alves
Kaique dos Santos
Alves
Wanderson Bucker Moraes
Wanderson Bucker
Moraes
José Aires Ventura
José Aires
Ventura
Simone de Paiva Caetano Bucker Moraes
Simone de Paiva Caetano Bucker
Moraes
Willian Bucker Moraes
Willian Bucker
Moraes
Waldir Cintra de Jesus Júnior
Waldir Cintra de
Jesus Júnior
Epidemiologic analysis of temporal evolution of papaya sticky disease
SciELO journals
2018
Papaya
Disease
Phytopathology
plant virus diseases
2018-01-10 05:58:52
Dataset
https://scielo.figshare.com/articles/dataset/Epidemiologic_analysis_of_temporal_evolution_of_papaya_sticky_disease/5772483
<p></p><p>ABSTRACT Analysis of temporal evolution of papaya sticky disease provides subsidies to understand the etiology, verify the dispersion and generate information about the influence of cultural, biological and environmental factors on the population dynamics of the pathogen/disease, providing data for the design of disease management strategies. Thus, the aim of this study was to characterize the temporal evolution in plants affected by papaya sticky disease in commercial orchards at Linhares Municipality, north of Espírito Santo State, Brazil. The experiment was conducted in commercial fields of papaya cv. ‘Sunrise Golden’, where the disease intensity was assessed in each orchard and, at the end, disease progress curves were generated. The data of curves were subjected to simple linear regression analysis, adjusted to the empirical models Logistic, Monomolecular and Gompertz. The most favorable period of the year for the disease development were colder and dry months, while the warmest and wettest months favored the mitigation of symptoms. Finally, the model that best fitted to the papaya sticky disease epidemics was the Gompertz model.</p><p></p>