Statistical process control applied to mechanized peanut sowing as a function of soil texture
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1371/journal.pone.0180399 http://hdl.handle.net/11449/165684 |
Resumo: | The successful establishment of agricultural crops depends on sowing quality, machinery performance, soil type and conditions, among other factors. This study evaluates the operational quality of mechanized peanut sowing in three soil types (sand, silt, and clay) with variable moisture contents. The experiment was conducted in three locations in the state of Sao Paulo, Brazil. The track-sampling scheme was used for 80 sampling locations of each soil type. Descriptive statistics and statistical process control (SPC) were used to evaluate the quality indicators of mechanized peanut sowing. The variables had normal distributions and were stable from the viewpoint of SPC. The best performance for peanut sowing density, normal spacing, and the initial seedling growing stand was found for clayey soil followed by sandy soil and then silty soil. Sandy or clayey soils displayed similar results regarding sowing depth, which was deeper than in the silty soil. Overall, the texture and the moisture of clayey soil provided the best operational performance for mechanized peanut sowing. |
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Repositório Institucional da UNESP |
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Statistical process control applied to mechanized peanut sowing as a function of soil textureThe successful establishment of agricultural crops depends on sowing quality, machinery performance, soil type and conditions, among other factors. This study evaluates the operational quality of mechanized peanut sowing in three soil types (sand, silt, and clay) with variable moisture contents. The experiment was conducted in three locations in the state of Sao Paulo, Brazil. The track-sampling scheme was used for 80 sampling locations of each soil type. Descriptive statistics and statistical process control (SPC) were used to evaluate the quality indicators of mechanized peanut sowing. The variables had normal distributions and were stable from the viewpoint of SPC. The best performance for peanut sowing density, normal spacing, and the initial seedling growing stand was found for clayey soil followed by sandy soil and then silty soil. Sandy or clayey soils displayed similar results regarding sowing depth, which was deeper than in the silty soil. Overall, the texture and the moisture of clayey soil provided the best operational performance for mechanized peanut sowing.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, Dept Agr Engn, Lab Agr Machinery & Mechanizat, Sao Paulo, BrazilSao Paulo State Univ, Dept Agr Engn, Lab Agr Machinery & Mechanizat, Sao Paulo, BrazilPublic Library ScienceUniversidade Estadual Paulista (Unesp)Zerbato, Cristiano [UNESP]Angeli Furlani, Carlos Eduardo [UNESP]Santana Ormond, Antonio Tassio [UNESP]Silva Girlo, Lucas Augusto da [UNESP]Carneiro, Franciele Morlin [UNESP]Silva, Rouverson Pereira da [UNESP]Behalf Lab Agr Machinery Mec [UNESP]2018-11-28T16:42:19Z2018-11-28T16:42:19Z2017-07-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13application/pdfhttp://dx.doi.org/10.1371/journal.pone.0180399Plos One. San Francisco: Public Library Science, v. 12, n. 7, 13 p., 2017.1932-6203http://hdl.handle.net/11449/16568410.1371/journal.pone.0180399WOS:000406362700011WOS000406362700011.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPlos One1,164info:eu-repo/semantics/openAccess2024-06-06T15:17:58Zoai:repositorio.unesp.br:11449/165684Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:20:51.742872Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
title |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
spellingShingle |
Statistical process control applied to mechanized peanut sowing as a function of soil texture Zerbato, Cristiano [UNESP] |
title_short |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
title_full |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
title_fullStr |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
title_full_unstemmed |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
title_sort |
Statistical process control applied to mechanized peanut sowing as a function of soil texture |
author |
Zerbato, Cristiano [UNESP] |
author_facet |
Zerbato, Cristiano [UNESP] Angeli Furlani, Carlos Eduardo [UNESP] Santana Ormond, Antonio Tassio [UNESP] Silva Girlo, Lucas Augusto da [UNESP] Carneiro, Franciele Morlin [UNESP] Silva, Rouverson Pereira da [UNESP] Behalf Lab Agr Machinery Mec [UNESP] |
author_role |
author |
author2 |
Angeli Furlani, Carlos Eduardo [UNESP] Santana Ormond, Antonio Tassio [UNESP] Silva Girlo, Lucas Augusto da [UNESP] Carneiro, Franciele Morlin [UNESP] Silva, Rouverson Pereira da [UNESP] Behalf Lab Agr Machinery Mec [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Zerbato, Cristiano [UNESP] Angeli Furlani, Carlos Eduardo [UNESP] Santana Ormond, Antonio Tassio [UNESP] Silva Girlo, Lucas Augusto da [UNESP] Carneiro, Franciele Morlin [UNESP] Silva, Rouverson Pereira da [UNESP] Behalf Lab Agr Machinery Mec [UNESP] |
description |
The successful establishment of agricultural crops depends on sowing quality, machinery performance, soil type and conditions, among other factors. This study evaluates the operational quality of mechanized peanut sowing in three soil types (sand, silt, and clay) with variable moisture contents. The experiment was conducted in three locations in the state of Sao Paulo, Brazil. The track-sampling scheme was used for 80 sampling locations of each soil type. Descriptive statistics and statistical process control (SPC) were used to evaluate the quality indicators of mechanized peanut sowing. The variables had normal distributions and were stable from the viewpoint of SPC. The best performance for peanut sowing density, normal spacing, and the initial seedling growing stand was found for clayey soil followed by sandy soil and then silty soil. Sandy or clayey soils displayed similar results regarding sowing depth, which was deeper than in the silty soil. Overall, the texture and the moisture of clayey soil provided the best operational performance for mechanized peanut sowing. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-24 2018-11-28T16:42:19Z 2018-11-28T16:42:19Z |
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/10.1371/journal.pone.0180399 Plos One. San Francisco: Public Library Science, v. 12, n. 7, 13 p., 2017. 1932-6203 http://hdl.handle.net/11449/165684 10.1371/journal.pone.0180399 WOS:000406362700011 WOS000406362700011.pdf |
url |
http://dx.doi.org/10.1371/journal.pone.0180399 http://hdl.handle.net/11449/165684 |
identifier_str_mv |
Plos One. San Francisco: Public Library Science, v. 12, n. 7, 13 p., 2017. 1932-6203 10.1371/journal.pone.0180399 WOS:000406362700011 WOS000406362700011.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Plos One 1,164 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
13 application/pdf |
dc.publisher.none.fl_str_mv |
Public Library Science |
publisher.none.fl_str_mv |
Public Library Science |
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 |
|
_version_ |
1808128349886742528 |