Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto
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/10.5433/1679-0359.2012v33n5p1629 http://hdl.handle.net/11449/10330 |
Resumo: | The rice is one of the main sources of the humanity's feeding. During the agricultural year 2009/2010, in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, an experiment was installed with rice upland in a Dystropherric Red Latosol (Typic Acrustox) under no-tillage, irrigated by central pivot, with the purpose of selecting the best components production to explain the variability the irrigated rice yield upland. The geostatistical grid was installed, to collect the data, with 120 sampling points, in an area of 3.0 ha and and homogeneous slope of 0.055 m m(-1). The medium rice yield was of the 5980 kg ha(-1). For the simple lineal regressions, the number of spikelets grenades for panicle presented the best direct potential correlation with the yield rice, given for: PGO = 115,5.NEG(0,770). However, for the multiple lineal regressions, the equation equacao PGO = 2754,30-411,55.NEG-461,07. NEC+436,59. NET it was the one that better she came to esteem the yield rice. However, spatial, it was not possible to establish correlation between the yield rice and the components production, once none of those it presented spatial dependence in their data. |
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Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio diretoLinear correlation between components production and yield of rice upland in no-tillageIrrigated riceOryza sativa L.regressionsThe rice is one of the main sources of the humanity's feeding. During the agricultural year 2009/2010, in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, an experiment was installed with rice upland in a Dystropherric Red Latosol (Typic Acrustox) under no-tillage, irrigated by central pivot, with the purpose of selecting the best components production to explain the variability the irrigated rice yield upland. The geostatistical grid was installed, to collect the data, with 120 sampling points, in an area of 3.0 ha and and homogeneous slope of 0.055 m m(-1). The medium rice yield was of the 5980 kg ha(-1). For the simple lineal regressions, the number of spikelets grenades for panicle presented the best direct potential correlation with the yield rice, given for: PGO = 115,5.NEG(0,770). However, for the multiple lineal regressions, the equation equacao PGO = 2754,30-411,55.NEG-461,07. NEC+436,59. NET it was the one that better she came to esteem the yield rice. However, spatial, it was not possible to establish correlation between the yield rice and the components production, once none of those it presented spatial dependence in their data.UNESP, Fac Engn Ilha Solteira, Dept Fitossanidade Engn Rural & Solos, Ilha Solteira, SP, BrazilUNESP, Fac Engn Ilha Solteira, Ilha Solteira, SP, BrazilUNESP, Fac Engn Ilha Solteira, Dept Fitossanidade Engn Rural & Solos, Ilha Solteira, SP, BrazilUNESP, Fac Engn Ilha Solteira, Ilha Solteira, SP, BrazilUniversidade Estadual de Londrina (UEL)Universidade Estadual Paulista (Unesp)Dalchiavon, Flávio CarlosPassos e Carvalho, Morel de [UNESP]Coletti Junior, AdmarCaione, Gustavo [UNESP]Silva, Amilton Ferreira da [UNESP]Andreotti, Marcelo [UNESP]2014-05-20T13:30:25Z2014-05-20T13:30:25Z2012-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1629-1641application/pdfhttp://dx.doi.org/10.5433/1679-0359.2012v33n5p1629Semina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 5, p. 1629-1641, 2012.1676-546Xhttp://hdl.handle.net/11449/1033010.5433/1679-0359.2012v33n5p1629WOS:000314513900002WOS000314513900002.pdf7000845749315355Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporSemina: Ciências Agrárias0.349info:eu-repo/semantics/openAccess2024-07-05T18:13:11Zoai:repositorio.unesp.br:11449/10330Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:23:41.949908Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto Linear correlation between components production and yield of rice upland in no-tillage |
title |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto |
spellingShingle |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto Dalchiavon, Flávio Carlos Irrigated rice Oryza sativa L. regressions |
title_short |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto |
title_full |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto |
title_fullStr |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto |
title_full_unstemmed |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto |
title_sort |
Correlação linear entre componentes da produção e produtividade do arroz de terras altas em sistema plantio direto |
author |
Dalchiavon, Flávio Carlos |
author_facet |
Dalchiavon, Flávio Carlos Passos e Carvalho, Morel de [UNESP] Coletti Junior, Admar Caione, Gustavo [UNESP] Silva, Amilton Ferreira da [UNESP] Andreotti, Marcelo [UNESP] |
author_role |
author |
author2 |
Passos e Carvalho, Morel de [UNESP] Coletti Junior, Admar Caione, Gustavo [UNESP] Silva, Amilton Ferreira da [UNESP] Andreotti, Marcelo [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Dalchiavon, Flávio Carlos Passos e Carvalho, Morel de [UNESP] Coletti Junior, Admar Caione, Gustavo [UNESP] Silva, Amilton Ferreira da [UNESP] Andreotti, Marcelo [UNESP] |
dc.subject.por.fl_str_mv |
Irrigated rice Oryza sativa L. regressions |
topic |
Irrigated rice Oryza sativa L. regressions |
description |
The rice is one of the main sources of the humanity's feeding. During the agricultural year 2009/2010, in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, an experiment was installed with rice upland in a Dystropherric Red Latosol (Typic Acrustox) under no-tillage, irrigated by central pivot, with the purpose of selecting the best components production to explain the variability the irrigated rice yield upland. The geostatistical grid was installed, to collect the data, with 120 sampling points, in an area of 3.0 ha and and homogeneous slope of 0.055 m m(-1). The medium rice yield was of the 5980 kg ha(-1). For the simple lineal regressions, the number of spikelets grenades for panicle presented the best direct potential correlation with the yield rice, given for: PGO = 115,5.NEG(0,770). However, for the multiple lineal regressions, the equation equacao PGO = 2754,30-411,55.NEG-461,07. NEC+436,59. NET it was the one that better she came to esteem the yield rice. However, spatial, it was not possible to establish correlation between the yield rice and the components production, once none of those it presented spatial dependence in their data. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 2014-05-20T13:30:25Z 2014-05-20T13:30:25Z |
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/10.5433/1679-0359.2012v33n5p1629 Semina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 5, p. 1629-1641, 2012. 1676-546X http://hdl.handle.net/11449/10330 10.5433/1679-0359.2012v33n5p1629 WOS:000314513900002 WOS000314513900002.pdf 7000845749315355 |
url |
http://dx.doi.org/10.5433/1679-0359.2012v33n5p1629 http://hdl.handle.net/11449/10330 |
identifier_str_mv |
Semina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 5, p. 1629-1641, 2012. 1676-546X 10.5433/1679-0359.2012v33n5p1629 WOS:000314513900002 WOS000314513900002.pdf 7000845749315355 |
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 |
1629-1641 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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1808128926995709952 |