Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/224280 |
Resumo: | In 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. |
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Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implicationsConditional simulationsCottonGeostatisticsKrigingPrecision FarmingRotylenchulus reniformisSemivariogramIn 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.Fundecitrus Scientific Department, P.O. Box 391, 14801-970, AraraquaraDepartment of Terrain Engineering University Polytechnic of Catalunya, 08034, BarcelonaDepartment of Exact Sciences UNESP/FCAV, 14870-000, Jaboticabal-SPCtr. Soils/Agroenvironmental Res., P.O. Box 28, 13001-970, CampinasDepartment of Zoology ESALQ University of São Paulo, P.O. Box 9, 13418-900, PiracicabaDepartment of Exact Sciences UNESP/FCAV, 14870-000, Jaboticabal-SPScientific DepartmentUniversity Polytechnic of CatalunyaUniversidade Estadual Paulista (UNESP)Ctr. Soils/Agroenvironmental Res.Universidade de São Paulo (USP)Farias, P. R.S.Sánchez-Vila, X.Barbosa, J. C. [UNESP]Vieira, S. R.Ferraz, L. C.C.B.Solís-Delfin, J.2022-04-28T19:55:36Z2022-04-28T19:55:36Z2002-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject232-238Journal of Nematology, v. 34, n. 3, p. 232-238, 2002.0022-300Xhttp://hdl.handle.net/11449/2242802-s2.0-0036761847Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Nematologyinfo:eu-repo/semantics/openAccess2022-04-28T19:55:36Zoai:repositorio.unesp.br:11449/224280Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:55:36Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
title |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
spellingShingle |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications Farias, P. R.S. Conditional simulations Cotton Geostatistics Kriging Precision Farming Rotylenchulus reniformis Semivariogram |
title_short |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
title_full |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
title_fullStr |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
title_full_unstemmed |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
title_sort |
Using geostatistical analysis to evaluate the presence of Rotylenchulus reniformis in cotton crops in Brazil: Economic implications |
author |
Farias, P. R.S. |
author_facet |
Farias, P. R.S. Sánchez-Vila, X. Barbosa, J. C. [UNESP] Vieira, S. R. Ferraz, L. C.C.B. Solís-Delfin, J. |
author_role |
author |
author2 |
Sánchez-Vila, X. Barbosa, J. C. [UNESP] Vieira, S. R. Ferraz, L. C.C.B. Solís-Delfin, J. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Scientific Department University Polytechnic of Catalunya Universidade Estadual Paulista (UNESP) Ctr. Soils/Agroenvironmental Res. Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Farias, P. R.S. Sánchez-Vila, X. Barbosa, J. C. [UNESP] Vieira, S. R. Ferraz, L. C.C.B. Solís-Delfin, J. |
dc.subject.por.fl_str_mv |
Conditional simulations Cotton Geostatistics Kriging Precision Farming Rotylenchulus reniformis Semivariogram |
topic |
Conditional simulations Cotton Geostatistics Kriging Precision Farming Rotylenchulus reniformis Semivariogram |
description |
In 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. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-09-01 2022-04-28T19:55:36Z 2022-04-28T19:55:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of Nematology, v. 34, n. 3, p. 232-238, 2002. 0022-300X http://hdl.handle.net/11449/224280 2-s2.0-0036761847 |
identifier_str_mv |
Journal of Nematology, v. 34, n. 3, p. 232-238, 2002. 0022-300X 2-s2.0-0036761847 |
url |
http://hdl.handle.net/11449/224280 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Nematology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
232-238 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797789974879272960 |