Attributes of latosol and soybean production components: A linear and geo-statistic approach
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.17765/2176-9168.2018v11n4p1109-1131 http://hdl.handle.net/11449/199682 |
Resumo: | Studies on soil qualities and components of plant production by Geostatistics and the generation of Kriging maps may be employed for the improvement of fertilizers and reduce production. Current assay evaluates the spatial dependence of attributes resistant to penetration (RP), water rate ( WR), soil density (SD), total porosity (TP), sand (S), clay (C), silt (ST), phosphorus (P), organic matter (OM), hydrogenionic potential (pH), potassium (K) and base saturation (V) of a dystrophic red latosol at depths (0.00-0.10 m and 0.10-0.20 m), with production components number of pods per plant (NPP), number of grains per pod (NGP), number of grains per plant (NGP), mass of 100 grains (MCG) and grain productivity (GP) of soybean (Glycine max L.), cultivated at zero tillage in 2013/2014, in Selvíria MS Brazil. A sample network was established for data collection of soil and plants, with 100 randomized sampling points within an area of 7,980 m2. Greatest variability of attributes analyzed by the coefficient of variance occurred at soil depth 0.00-0.10 m. Several soil and plant attributes had spatial dependence, with a possibility of mapping the area under analysis. Rates recommended for researched attributes were between 9.9 and 91.8 m. |
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Attributes of latosol and soybean production components: A linear and geo-statistic approachAtributos de um latossolo e componentes produtivos da soja: Uma abordagem linear e geoestatísticaKriging mapsPrecision agricultureSoil managementStudies on soil qualities and components of plant production by Geostatistics and the generation of Kriging maps may be employed for the improvement of fertilizers and reduce production. Current assay evaluates the spatial dependence of attributes resistant to penetration (RP), water rate ( WR), soil density (SD), total porosity (TP), sand (S), clay (C), silt (ST), phosphorus (P), organic matter (OM), hydrogenionic potential (pH), potassium (K) and base saturation (V) of a dystrophic red latosol at depths (0.00-0.10 m and 0.10-0.20 m), with production components number of pods per plant (NPP), number of grains per pod (NGP), number of grains per plant (NGP), mass of 100 grains (MCG) and grain productivity (GP) of soybean (Glycine max L.), cultivated at zero tillage in 2013/2014, in Selvíria MS Brazil. A sample network was established for data collection of soil and plants, with 100 randomized sampling points within an area of 7,980 m2. Greatest variability of attributes analyzed by the coefficient of variance occurred at soil depth 0.00-0.10 m. Several soil and plant attributes had spatial dependence, with a possibility of mapping the area under analysis. Rates recommended for researched attributes were between 9.9 and 91.8 m.Faculdade de Engenharia Agrícola UnicampDepartamento de Fitossanidade Engenharia Rural e Solos - Unesp de Ilha SolteiraDepartamento de Ciências Exatas Unesp JaboticabalAcadêmico de Graduação em Engenharia Agronômica Unesp de Ilha SolteiraDepartamento de Fitossanidade Engenharia Rural e Solos - Unesp de Ilha SolteiraDepartamento de Ciências Exatas Unesp JaboticabalAcadêmico de Graduação em Engenharia Agronômica Unesp de Ilha SolteiraUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Lovera, Lenon HenriqueMontanari, Rafael [UNESP]De Souza Lima, ElizeuPanosso, Alan Rodrigo [UNESP]Squizato, Mariele [UNESP]De Oliveira, Ingrid Nehmi2020-12-12T01:46:26Z2020-12-12T01:46:26Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1109-1131http://dx.doi.org/10.17765/2176-9168.2018v11n4p1109-1131Revista em Agronegocio e Meio Ambiente, v. 11, n. 4, p. 1109-1131, 2018.2176-91681981-9951http://hdl.handle.net/11449/19968210.17765/2176-9168.2018v11n4p1109-11312-s2.0-8507525796106736998678242410000-0002-3557-2362Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista em Agronegocio e Meio Ambienteinfo:eu-repo/semantics/openAccess2021-10-23T08:46:54Zoai:repositorio.unesp.br:11449/199682Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T08:46:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Attributes of latosol and soybean production components: A linear and geo-statistic approach Atributos de um latossolo e componentes produtivos da soja: Uma abordagem linear e geoestatística |
title |
Attributes of latosol and soybean production components: A linear and geo-statistic approach |
spellingShingle |
Attributes of latosol and soybean production components: A linear and geo-statistic approach Lovera, Lenon Henrique Kriging maps Precision agriculture Soil management |
title_short |
Attributes of latosol and soybean production components: A linear and geo-statistic approach |
title_full |
Attributes of latosol and soybean production components: A linear and geo-statistic approach |
title_fullStr |
Attributes of latosol and soybean production components: A linear and geo-statistic approach |
title_full_unstemmed |
Attributes of latosol and soybean production components: A linear and geo-statistic approach |
title_sort |
Attributes of latosol and soybean production components: A linear and geo-statistic approach |
author |
Lovera, Lenon Henrique |
author_facet |
Lovera, Lenon Henrique Montanari, Rafael [UNESP] De Souza Lima, Elizeu Panosso, Alan Rodrigo [UNESP] Squizato, Mariele [UNESP] De Oliveira, Ingrid Nehmi |
author_role |
author |
author2 |
Montanari, Rafael [UNESP] De Souza Lima, Elizeu Panosso, Alan Rodrigo [UNESP] Squizato, Mariele [UNESP] De Oliveira, Ingrid Nehmi |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Lovera, Lenon Henrique Montanari, Rafael [UNESP] De Souza Lima, Elizeu Panosso, Alan Rodrigo [UNESP] Squizato, Mariele [UNESP] De Oliveira, Ingrid Nehmi |
dc.subject.por.fl_str_mv |
Kriging maps Precision agriculture Soil management |
topic |
Kriging maps Precision agriculture Soil management |
description |
Studies on soil qualities and components of plant production by Geostatistics and the generation of Kriging maps may be employed for the improvement of fertilizers and reduce production. Current assay evaluates the spatial dependence of attributes resistant to penetration (RP), water rate ( WR), soil density (SD), total porosity (TP), sand (S), clay (C), silt (ST), phosphorus (P), organic matter (OM), hydrogenionic potential (pH), potassium (K) and base saturation (V) of a dystrophic red latosol at depths (0.00-0.10 m and 0.10-0.20 m), with production components number of pods per plant (NPP), number of grains per pod (NGP), number of grains per plant (NGP), mass of 100 grains (MCG) and grain productivity (GP) of soybean (Glycine max L.), cultivated at zero tillage in 2013/2014, in Selvíria MS Brazil. A sample network was established for data collection of soil and plants, with 100 randomized sampling points within an area of 7,980 m2. Greatest variability of attributes analyzed by the coefficient of variance occurred at soil depth 0.00-0.10 m. Several soil and plant attributes had spatial dependence, with a possibility of mapping the area under analysis. Rates recommended for researched attributes were between 9.9 and 91.8 m. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 2020-12-12T01:46:26Z 2020-12-12T01:46:26Z |
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/10.17765/2176-9168.2018v11n4p1109-1131 Revista em Agronegocio e Meio Ambiente, v. 11, n. 4, p. 1109-1131, 2018. 2176-9168 1981-9951 http://hdl.handle.net/11449/199682 10.17765/2176-9168.2018v11n4p1109-1131 2-s2.0-85075257961 0673699867824241 0000-0002-3557-2362 |
url |
http://dx.doi.org/10.17765/2176-9168.2018v11n4p1109-1131 http://hdl.handle.net/11449/199682 |
identifier_str_mv |
Revista em Agronegocio e Meio Ambiente, v. 11, n. 4, p. 1109-1131, 2018. 2176-9168 1981-9951 10.17765/2176-9168.2018v11n4p1109-1131 2-s2.0-85075257961 0673699867824241 0000-0002-3557-2362 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista em Agronegocio e Meio Ambiente |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1109-1131 |
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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1799965740978143232 |