Data/hora: 01/07/2024 13:58:42

Biblioteca(s): 	Epagri-Sede.	
Data corrente: 	30/09/2022	
Data da última atualização: 	30/09/2022	
Autoria: 	MALLMANN, G.; FERNANDES, J. M. C.; MONTEIRO, F. P.; LINS JÚNIOR, J. C.; FELTRIM, A. L.; WAMSER, A. F.; VALMORBIDA, J.	
Título: 	Evaluation of a generic model to predict garlic rust on San Valentim cultivar in Caçador, SC.	
Ano de publicação: 	2022	
Fonte/Imprenta: 	In: WORKSHOP BRASILEIRO DE EPIDEMIOLOGIA DE DOENÇAS DE PLANTAS, 6., 2022, Chapecó, SC. Resumos... Brasília: Sociedade Brasileira de Fitopatologia, 2022. p. 32	
Idioma: 	Inglês	
Conteúdo: 	Garlic rust caused by the fungus Puccinia porri, is a disease of widespread occurrence in
all regions of the world and, during the cultivation of susceptible plants, there are
environmental conditions favorable to their progress. The objective of this work was to
validate a generic model for the prediction of garlic rust. An agrometeorological station
was used to collect the meteorological data that were inserted in the model used to predict
the occurrence of rust. For the development of the model, the life of a pathogen was taken
as a basis, creating an easily parameterizable structur. All processing takes place through
the exchange of data on the number of organs created and the available area of each one
(healthy area) at that moment and through information on the area that the disease take
place (infected area). From the combination of temperature, relative humidity (&#8805;90%) and
precipitation (input data) variables, the model performs the simulation and provides as
output data the amount of spores present in the environment. Field experiments were
carried out with cultivar San Valentim, in the 2019, 2020 and 2021 harvests, at the
Experimental Station of Caçador (Epagri). The inoculation of plants with the fungus P.
porri occurred naturally in the field. From the cloves differentiation phase, the weekly
evaluations of incidence and severity of rust in the field began. To assess severity, a
diagrammatic scale was used. Data collected in the field were compared with simulated
data to validate the model. It was verified by the simulated and observed data that the
years 2019 and 2020 were quite epidemic for garlic rust. In the 2021 harvest, there was
less severity compared to previous years. The simulated and observed data showed a
similar trend in the rust epidemic, indicating that the generic model is correctly predicting
rust. The garlic rust prediction model could be a useful tool for technicians and producers,
in the decision making of the ideal moment to carry out the disease control.	
Thesagro: 	disease; Epidemiology; severity.	
Categoria do assunto: 	F Plantas e Produtos de Origem Vegetal	
URL: 	http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_54560.pdf	
Registro original: 	Epagri-Sede (Epagri-Sede)	
Exemplares: 	Epagri-Sede - (107435-1) - UPC - PL - DD -  -  -  - DIS