Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications

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dc.contributor.authorFarias, P. R.S.
dc.contributor.authorSánchez-Vila, X.
dc.contributor.authorBarbosa, J. C. [UNESP]
dc.contributor.authorVieira, S. R.
dc.contributor.authorFerraz, L. C.C.B.
dc.contributor.authorSolís-Delfin, J.
dc.contributor.institutionScientific Department
dc.contributor.institutionUniversity Polytechnic of Catalunya
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCtr. Soils/Agroenvironmental Res.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2022-04-28T19:55:36Z
dc.date.available2022-04-28T19:55:36Z
dc.date.issued2002-09-01
dc.description.abstractIn recent years, the productivity of cotton in Brazil has been progressively decreasing, often the result of the reniform nematode Rotylenchulus reniformis. This species can reduce crop productivity by up to 40%. Nematodes can be controlled by nematicides but, because of expense and toxicity, application of nematicides to large crop areas may be undesirable. In this work, a methodology using geostatistics for quantifying the risk of nematicide application to small crop areas is proposed. This risk, in economic terms, can be compared to nematicide cost to develop an optimal strategy for Precision Farming. Soil (300 cm3) was sampled in a regular network from a R. reniformis-infested area that was a cotton monoculture for 20 years. The number of nematodes in each sample was counted. The nematode number per volume of soil was characterized using geostatistics, and 100 conditional simulations were conducted. Based on the simulations, risk maps were plotted showing the areas where nematicide should be applied in a Precision Farming context. The methodology developed can be applied to farming in countries that are highly dependent on agriculture, with useful economic implications.en
dc.description.affiliationFundecitrus Scientific Department, P.O. Box 391, 14801-970, Araraquara
dc.description.affiliationDepartment of Terrain Engineering University Polytechnic of Catalunya, 08034, Barcelona
dc.description.affiliationDepartment of Exact Sciences UNESP/FCAV, 14870-000, Jaboticabal-SP
dc.description.affiliationCtr. Soils/Agroenvironmental Res., P.O. Box 28, 13001-970, Campinas
dc.description.affiliationDepartment of Zoology ESALQ University of São Paulo, P.O. Box 9, 13418-900, Piracicaba
dc.description.affiliationUnespDepartment of Exact Sciences UNESP/FCAV, 14870-000, Jaboticabal-SP
dc.format.extent232-238
dc.identifier.citationJournal of Nematology, v. 34, n. 3, p. 232-238, 2002.
dc.identifier.issn0022-300X
dc.identifier.scopus2-s2.0-0036761847
dc.identifier.urihttp://hdl.handle.net/11449/224280
dc.language.isoeng
dc.relation.ispartofJournal of Nematology
dc.sourceScopus
dc.subjectConditional simulations
dc.subjectCotton
dc.subjectGeostatistics
dc.subjectKriging
dc.subjectPrecision Farming
dc.subjectRotylenchulus reniformis
dc.subjectSemivariogram
dc.titleUsing geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implicationsen
dc.typeTrabalho apresentado em evento
unesp.departmentCiências Exatas - FCAVpt

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Jaboticabal - FCAV - Faculdade de Ciências Agrárias e Veterinárias