Correlação linear e espacial dos componentes de produção e produtividade da soja
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5433/1679-0359.2012v33n2p541 http://hdl.handle.net/11449/10329 |
Resumo: | The soybean is the crop most cultivated in Brazil, with great socioeconomic importance. In the agriculture year 2008/09 in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, was analyzed the production components and the soybean yield cultivated in a Typic Acrustox on no-tillage. The main purpose objective was select among the production components number of pods per plant, number of grains per pod, number of grains per plant, mass of a thousand grains, mass of grains per plant and population of plants, which of the best linear and spatial correlation aiming explain the soybean yield variability. The irregular geostatistical grid was installed to collect of data, with 120 sampling points, in an area of 8.34 ha. The values of spatial dependence range to be utilized should be among 38.1 and 114.7 meters. The model of the adjusted semivariograma was predominantly the spherical. of the lineal and spatial point of view, the number of pods per plant and the mass of grains per plant they were correlated in a direct way with the soybean yield, demonstrating be the best components to esteem her. |
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Correlação linear e espacial dos componentes de produção e produtividade da sojaLinear and spatial correlation of the yield components and soybean yieldPrecision agriculturegeoestatisticsGlycine maxspatial variabilityThe soybean is the crop most cultivated in Brazil, with great socioeconomic importance. In the agriculture year 2008/09 in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, was analyzed the production components and the soybean yield cultivated in a Typic Acrustox on no-tillage. The main purpose objective was select among the production components number of pods per plant, number of grains per pod, number of grains per plant, mass of a thousand grains, mass of grains per plant and population of plants, which of the best linear and spatial correlation aiming explain the soybean yield variability. The irregular geostatistical grid was installed to collect of data, with 120 sampling points, in an area of 8.34 ha. The values of spatial dependence range to be utilized should be among 38.1 and 114.7 meters. The model of the adjusted semivariograma was predominantly the spherical. of the lineal and spatial point of view, the number of pods per plant and the mass of grains per plant they were correlated in a direct way with the soybean yield, demonstrating be the best components to esteem her.UNESP, Fac Engn Ilha Solteira, Dept Fitossanidade Engn Rural & Solos, BR-78402000 Diamantino, MT, BrazilUNESP, Fac Engn Ilha Solteira, Dept Fitossanidade Engn Rural & Solos, BR-78402000 Diamantino, MT, BrazilUniversidade Estadual de Londrina (UEL)Universidade Estadual Paulista (Unesp)Dalchiavon, Flávio Carlos [UNESP]Passos e Carvalho, Morel de [UNESP]2014-05-20T13:30:24Z2014-05-20T13:30:24Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article541-552application/pdfhttp://dx.doi.org/10.5433/1679-0359.2012v33n2p541Semina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 2, p. 541-552, 2012.1676-546Xhttp://hdl.handle.net/11449/1032910.5433/1679-0359.2012v33n2p541WOS:000307002600011WOS000307002600011.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporSemina: Ciências Agrárias0.349info:eu-repo/semantics/openAccess2024-07-05T18:13:26Zoai:repositorio.unesp.br:11449/10329Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:36:38.889284Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Correlação linear e espacial dos componentes de produção e produtividade da soja Linear and spatial correlation of the yield components and soybean yield |
title |
Correlação linear e espacial dos componentes de produção e produtividade da soja |
spellingShingle |
Correlação linear e espacial dos componentes de produção e produtividade da soja Dalchiavon, Flávio Carlos [UNESP] Precision agriculture geoestatistics Glycine max spatial variability |
title_short |
Correlação linear e espacial dos componentes de produção e produtividade da soja |
title_full |
Correlação linear e espacial dos componentes de produção e produtividade da soja |
title_fullStr |
Correlação linear e espacial dos componentes de produção e produtividade da soja |
title_full_unstemmed |
Correlação linear e espacial dos componentes de produção e produtividade da soja |
title_sort |
Correlação linear e espacial dos componentes de produção e produtividade da soja |
author |
Dalchiavon, Flávio Carlos [UNESP] |
author_facet |
Dalchiavon, Flávio Carlos [UNESP] Passos e Carvalho, Morel de [UNESP] |
author_role |
author |
author2 |
Passos e Carvalho, Morel de [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Dalchiavon, Flávio Carlos [UNESP] Passos e Carvalho, Morel de [UNESP] |
dc.subject.por.fl_str_mv |
Precision agriculture geoestatistics Glycine max spatial variability |
topic |
Precision agriculture geoestatistics Glycine max spatial variability |
description |
The soybean is the crop most cultivated in Brazil, with great socioeconomic importance. In the agriculture year 2008/09 in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, was analyzed the production components and the soybean yield cultivated in a Typic Acrustox on no-tillage. The main purpose objective was select among the production components number of pods per plant, number of grains per pod, number of grains per plant, mass of a thousand grains, mass of grains per plant and population of plants, which of the best linear and spatial correlation aiming explain the soybean yield variability. The irregular geostatistical grid was installed to collect of data, with 120 sampling points, in an area of 8.34 ha. The values of spatial dependence range to be utilized should be among 38.1 and 114.7 meters. The model of the adjusted semivariograma was predominantly the spherical. of the lineal and spatial point of view, the number of pods per plant and the mass of grains per plant they were correlated in a direct way with the soybean yield, demonstrating be the best components to esteem her. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 2014-05-20T13:30:24Z 2014-05-20T13:30:24Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5433/1679-0359.2012v33n2p541 Semina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 2, p. 541-552, 2012. 1676-546X http://hdl.handle.net/11449/10329 10.5433/1679-0359.2012v33n2p541 WOS:000307002600011 WOS000307002600011.pdf |
url |
http://dx.doi.org/10.5433/1679-0359.2012v33n2p541 http://hdl.handle.net/11449/10329 |
identifier_str_mv |
Semina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 2, p. 541-552, 2012. 1676-546X 10.5433/1679-0359.2012v33n2p541 WOS:000307002600011 WOS000307002600011.pdf |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Semina: Ciências Agrárias 0.349 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
541-552 application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Londrina (UEL) |
publisher.none.fl_str_mv |
Universidade Estadual de Londrina (UEL) |
dc.source.none.fl_str_mv |
Web of Science 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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1808129226061119488 |