Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000100009 |
Resumo: | The mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses. |
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Engenharia Agrícola |
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Influence of the sample area in the variability of losses in the mechanical harvesting of soybeansStatistical Control ProcessControl ChartsCombineThe mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses.Associação Brasileira de Engenharia Agrícola2014-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000100009Engenharia Agrícola v.34 n.1 2014reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162014000100009info:eu-repo/semantics/openAccessLoureiro Júnior,Antônio M.Silva,Rouverson P. daCassia,Marcelo T.Compagnon,Ariel M.Voltarelli,Murilo A.eng2014-03-24T00:00:00Zoai:scielo:S0100-69162014000100009Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2014-03-24T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
title |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
spellingShingle |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans Loureiro Júnior,Antônio M. Statistical Control Process Control Charts Combine |
title_short |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
title_full |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
title_fullStr |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
title_full_unstemmed |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
title_sort |
Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans |
author |
Loureiro Júnior,Antônio M. |
author_facet |
Loureiro Júnior,Antônio M. Silva,Rouverson P. da Cassia,Marcelo T. Compagnon,Ariel M. Voltarelli,Murilo A. |
author_role |
author |
author2 |
Silva,Rouverson P. da Cassia,Marcelo T. Compagnon,Ariel M. Voltarelli,Murilo A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Loureiro Júnior,Antônio M. Silva,Rouverson P. da Cassia,Marcelo T. Compagnon,Ariel M. Voltarelli,Murilo A. |
dc.subject.por.fl_str_mv |
Statistical Control Process Control Charts Combine |
topic |
Statistical Control Process Control Charts Combine |
description |
The mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000100009 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000100009 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0100-69162014000100009 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.34 n.1 2014 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126271583682560 |