SciELO - Scientific Electronic Library Online

 
vol.39 issue3Efficiency of the inoculation of Trichoderma asperellum UFT-201 in cowpea production components under growth conditions in fieldGenes found in partial sequencing of Phytophthora cinnamomi genome author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista de Ciências Agrárias

Print version ISSN 0871-018X

Abstract

MATEUS, Ana Lúcia Souza Silva  and  SCALON, João Domingos. Detecção de agrupamento temporal de doenças em culturas agrícolas. Rev. de Ciências Agrárias [online]. 2016, vol.39, n.3, pp.422-430. ISSN 0871-018X.  https://doi.org/10.19084/RCA15132.

Information about temporal dynamics of plant diseases is of paramount importance for appropriate technologies development for diseases management in production systems. The major interest when studying a temporal point pattern is to detect temporal clustering of events. There are some methods available for events cluster detection over time. The majority of these methods has been developed to detect temporal clustering inhuman diseases. The temporal patterns analysisfor plant diseases are not very well described in the literature. In this study, we aimed to propose new methods, based on both empirical distribution function and Monte Carlo simulation, for testing the null hypothesis that a temporal point pattern is purely random. These methods are compared to the time K-function for detecting temporal clustering for incidence of citrus sudden death disease in orange trees. All methodologies were found to show good performance for analyzing temporal point patterns and they led to the detection of temporal clustering of the citrus sudden death disease in an orange trees planting.

Keywords : Citrus sinensis; counting process; disease spread; homogeneous Poisson point process; hypotheses testing.

        · abstract in Portuguese     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License