Variability of harvest loss in relation to physiological characteristics of cotton
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42587 |
Resumo: | Pearson's correlation and spatial variability are tools that can be used to help one understand the process of losses in the mechanical harvesting of cotton. Therefore, the objective of this study was to model the spatial distribution and map the losses of mechanical cotton harvest using geostatistics and to correlate the losses with agronomic variables using Pearson’s correlation. The experiment was conducted in Itiquira and Lucas do Rio Verde, Mato Grosso State, Brazil. At each sampling point, the evaluated variables were agronomic plant variables and cotton losses in the soil and the plant (divided into lower, medium and upper thirds) and the sum total of losses. The highest losses in cotton harvest occurred in the lower third and on the soil, both of which exhibit a spatial dependence model, according to geostatistics, demonstrating that they do not occur in a randomized process and are related to the specific plant. There was a relationship between the plant populations with losses in the cotton crop. The plant population can influence the spatial dependence of losses. |
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Acta Scientiarum. Agronomy (Online) |
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Variability of harvest loss in relation to physiological characteristics of cottonVariability of harvest loss in relation to physiological characteristics of cottonGossypium hirsutum; geostatistics; precision agriculture.Mecanização agrícolaAgricultura de precisãoGossypium hirsutum; geostatistics; precision agriculture.Pearson's correlation and spatial variability are tools that can be used to help one understand the process of losses in the mechanical harvesting of cotton. Therefore, the objective of this study was to model the spatial distribution and map the losses of mechanical cotton harvest using geostatistics and to correlate the losses with agronomic variables using Pearson’s correlation. The experiment was conducted in Itiquira and Lucas do Rio Verde, Mato Grosso State, Brazil. At each sampling point, the evaluated variables were agronomic plant variables and cotton losses in the soil and the plant (divided into lower, medium and upper thirds) and the sum total of losses. The highest losses in cotton harvest occurred in the lower third and on the soil, both of which exhibit a spatial dependence model, according to geostatistics, demonstrating that they do not occur in a randomized process and are related to the specific plant. There was a relationship between the plant populations with losses in the cotton crop. The plant population can influence the spatial dependence of losses.Pearson's correlation and spatial variability are tools that can be used to help one understand the process of losses in the mechanical harvesting of cotton. Therefore, the objective of this study was to model the spatial distribution and map the losses of mechanical cotton harvest using geostatistics and to correlate the losses with agronomic variables using Pearson’s correlation. The experiment was conducted in Itiquira and Lucas do Rio Verde, Mato Grosso State, Brazil. At each sampling point, the evaluated variables were agronomic plant variables and cotton losses in the soil and the plant (divided into lower, medium and upper thirds) and the sum total of losses. The highest losses in cotton harvest occurred in the lower third and on the soil, both of which exhibit a spatial dependence model, according to geostatistics, demonstrating that they do not occur in a randomized process and are related to the specific plant. There was a relationship between the plant populations with losses in the cotton crop. The plant population can influence the spatial dependence of losses.Universidade Estadual de Maringá2020-04-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa de campoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4258710.4025/actasciagron.v42i1.42587Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42587Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e425871807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42587/751375149831Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessKazama, Elizabeth HarunaSilva, Rouverson Pereira daCarneiro, Franciele MorlinTeixeira, Daniel de BortoliVale, Welington Gonzaga doPereira, Gener Tadeu2020-11-16T18:51:02Zoai:periodicos.uem.br/ojs:article/42587Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2020-11-16T18:51:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Variability of harvest loss in relation to physiological characteristics of cotton Variability of harvest loss in relation to physiological characteristics of cotton |
title |
Variability of harvest loss in relation to physiological characteristics of cotton |
spellingShingle |
Variability of harvest loss in relation to physiological characteristics of cotton Kazama, Elizabeth Haruna Gossypium hirsutum; geostatistics; precision agriculture. Mecanização agrícola Agricultura de precisão Gossypium hirsutum; geostatistics; precision agriculture. |
title_short |
Variability of harvest loss in relation to physiological characteristics of cotton |
title_full |
Variability of harvest loss in relation to physiological characteristics of cotton |
title_fullStr |
Variability of harvest loss in relation to physiological characteristics of cotton |
title_full_unstemmed |
Variability of harvest loss in relation to physiological characteristics of cotton |
title_sort |
Variability of harvest loss in relation to physiological characteristics of cotton |
author |
Kazama, Elizabeth Haruna |
author_facet |
Kazama, Elizabeth Haruna Silva, Rouverson Pereira da Carneiro, Franciele Morlin Teixeira, Daniel de Bortoli Vale, Welington Gonzaga do Pereira, Gener Tadeu |
author_role |
author |
author2 |
Silva, Rouverson Pereira da Carneiro, Franciele Morlin Teixeira, Daniel de Bortoli Vale, Welington Gonzaga do Pereira, Gener Tadeu |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Kazama, Elizabeth Haruna Silva, Rouverson Pereira da Carneiro, Franciele Morlin Teixeira, Daniel de Bortoli Vale, Welington Gonzaga do Pereira, Gener Tadeu |
dc.subject.por.fl_str_mv |
Gossypium hirsutum; geostatistics; precision agriculture. Mecanização agrícola Agricultura de precisão Gossypium hirsutum; geostatistics; precision agriculture. |
topic |
Gossypium hirsutum; geostatistics; precision agriculture. Mecanização agrícola Agricultura de precisão Gossypium hirsutum; geostatistics; precision agriculture. |
description |
Pearson's correlation and spatial variability are tools that can be used to help one understand the process of losses in the mechanical harvesting of cotton. Therefore, the objective of this study was to model the spatial distribution and map the losses of mechanical cotton harvest using geostatistics and to correlate the losses with agronomic variables using Pearson’s correlation. The experiment was conducted in Itiquira and Lucas do Rio Verde, Mato Grosso State, Brazil. At each sampling point, the evaluated variables were agronomic plant variables and cotton losses in the soil and the plant (divided into lower, medium and upper thirds) and the sum total of losses. The highest losses in cotton harvest occurred in the lower third and on the soil, both of which exhibit a spatial dependence model, according to geostatistics, demonstrating that they do not occur in a randomized process and are related to the specific plant. There was a relationship between the plant populations with losses in the cotton crop. The plant population can influence the spatial dependence of losses. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-03 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa de campo |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42587 10.4025/actasciagron.v42i1.42587 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42587 |
identifier_str_mv |
10.4025/actasciagron.v42i1.42587 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42587/751375149831 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e42587 Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e42587 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305910635462656 |