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Hamada,Emília; Ghini,Raquel; Rossi,Paulo; Pedro Júnior,Mário José; Fernandes,Jeferson Lobato. |
Viticulture in Brazil has been growing in importance in recent years. In the State of São Paulo, a significant percentage of the production is basically destined to in natura consumption and, more recently, much effort has been made by institutions to revitalize the viticulture in the State. Among fungal diseases, the downy mildew (Plasmopara viticola) is one of the main diseases affecting this crop in Brazil, with extreme damage effects on its production. The objective of this study was to estimate the incidence of the downy mildew on grape under the climatic conditions of the State of São Paulo, based on a mathematical model and using Geographical Information System - GIS tools. The study considered the months from September to April, a period in which... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Vitis spp.; Geographical Information System; Temperature; Relative humidity; Leaf wetness duration. |
Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000700010 |
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Hamada,Emília; Ghini,Raquel; Fernandes,Jeferson Lobato; Pedro Júnior,Mário José; Rossi,Paulo. |
One of the main factors influencing the occurrence of plant diseases is the leaf wetness duration (LWD). However, this climatic parameter is not generally and systematically recorded at meteorological stations, and the alternative to obtain an estimate for LWD is the use of mathematical models. The objective of this study was to estimate LWD for the State of São Paulo, on the basis of the number of hours with relative humidity equal to or higher than 90%, and also plot them on a map with help of the Geographical Information System (GIS) tool. Using daily relative humidity data from ten meteorological stations of the State, for six years, adjustment equations were obtained for different LWD periods (hours day-1) (R² from 0.58 to 0.81) and of number of days... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Plant diseases; Relative humidity; Geographical Information System; Regression equation. |
Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000700006 |
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