Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/30591 |
Resumo: | Productivity may differ between different production environments, being a key factor in determining the price and quality of cotton for textile products. These production differences are mainly associated with cultivars and soil physical conditions, which influence the indicative parameters of cotton productivity. Knowledge of the factors that affect the production of seed cotton and cotton fiber is important for the definition of regions with potential for the production of superior quality fibers. Thus, the aim of the present study was to determine simple linear regression analysis to explain the influence of soil physical attributes on seed and fiber cotton production. We sampled 200 points, in 100 plots, involving 13 cotton crops, distributed in the municipalities of Nova Mutum, Pedra Preta and Campo Verde, in the state of Mato Grosso, Brazil. We performed Simple Linear Regression Analysis between soil physical factors and cotton and seed and fiber production. The simple linear regression analysis explained the influence of soil physical attributes (clay, silt, sand, macroporosity, microporosity, total porosity and density) on PFC (coll, harvested form) and PF, which allowed to identify the highest percentage explained by the straight line estimated, and therefore the highest quality of adjustment was obtained for Total Porosity, while the lowest percentage was for Macroporosity for cotton seed production and fiber production. |
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Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton productionDeterminación del análisis de regresión lineal simple para explicar la influencia de los atributos físicos del suelo en la producción de algodónDeterminação da análise de regressão linear simples para explicar a influência dos atributos físicos do solo na produção do algodãoGossipium hirsutumSoloVariáveisCorrelação.Gossipium hirsutumTierraVariablesCorrelación.Gossipium hirsutumGroundVariablesCorrelation.Productivity may differ between different production environments, being a key factor in determining the price and quality of cotton for textile products. These production differences are mainly associated with cultivars and soil physical conditions, which influence the indicative parameters of cotton productivity. Knowledge of the factors that affect the production of seed cotton and cotton fiber is important for the definition of regions with potential for the production of superior quality fibers. Thus, the aim of the present study was to determine simple linear regression analysis to explain the influence of soil physical attributes on seed and fiber cotton production. We sampled 200 points, in 100 plots, involving 13 cotton crops, distributed in the municipalities of Nova Mutum, Pedra Preta and Campo Verde, in the state of Mato Grosso, Brazil. We performed Simple Linear Regression Analysis between soil physical factors and cotton and seed and fiber production. The simple linear regression analysis explained the influence of soil physical attributes (clay, silt, sand, macroporosity, microporosity, total porosity and density) on PFC (coll, harvested form) and PF, which allowed to identify the highest percentage explained by the straight line estimated, and therefore the highest quality of adjustment was obtained for Total Porosity, while the lowest percentage was for Macroporosity for cotton seed production and fiber production.La productividad puede diferir entre diferentes entornos de producción, siendo un factor clave para determinar el precio y la calidad del algodón para productos textiles. Estas diferencias de producción están asociadas principalmente a los cultivares y las condiciones físicas del suelo, que influyen en los parámetros indicativos de la productividad del algodón. El conocimiento de los factores que afectan la producción de algodón en rama y fibra de algodón es importante para la definición de regiones con potencial para la producción de fibras de calidad superior. Por lo tanto, el objetivo del presente estudio fue determinar el análisis de regresión lineal simple para explicar la influencia de los atributos físicos del suelo en la producción de semilla y fibra de algodón. Muestreamos 200 puntos, en 100 parcelas, involucrando 13 cultivos de algodón, distribuidos en los municipios de Nova Mutum, Pedra Preta y Campo Verde, en el estado de Mato Grosso, Brasil. Realizamos un análisis de regresión lineal simple entre los factores físicos del suelo y la producción de algodón y semillas y fibras. El análisis de regresión lineal simple explicó la influencia de los atributos físicos del suelo (arcilla, limo, arena, macroporosidad, microporosidad, porosidad total y densidad) sobre la PFC (coll, forma cosechada) y PF, lo que permitió identificar el mayor porcentaje explicado por la recta línea estimada, por lo que la mayor calidad de ajuste se obtuvo para Porosidad Total, mientras que el menor porcentaje fue para Macroporosidad para producción de semilla de algodón y producción de fibra.Produtividade pode diferir entre os diferentes ambientes de produção, sendo fator chave para determinação do preço do algodão destinado aos produtos têxteis. Essas diferenças de produção estão associadas principalmente às cultivares e às condições físicas do solo, as quais influenciam os parâmetros indicativos de produtividade do algodão. O conhecimento dos fatores que condicionam a produção do algodão em caroço e da fibra de algodão é importante para a definição das regiões com potencial para produção de fibras de qualidade superior. Dessa forma, o objetivo do presente estudo foram determinar análise de regressão linear simples para explicar a influência dos atributos físicos do solo na produção de algodão em caroço e de fibra. Amostramos 200 pontos, em 100 talhões, envolvendo 13 culturas de algodão, distribuídos nos municípios de Nova Mutum, Pedra Preta e Campo Verde, no estado de Mato Grosso, Brasil. Executamos Análise de regressão Linear Simples, entre os fatores físicos do solo e a produção de algodão e caroço e de fibra. A análise regressão linear simples explicou a influência dos atributos físicos do solo (argila, silte, areia, macroporosidade, microporosidade, porosidade total e densidade) na PFC (capulho, forma colhida) e PF, o que permitiu identificar o maior percentual explicado pela reta estimada, e, por conseguinte a maior a qualidade do ajustamento foi obtida para a Porosidade Total, enquanto que o menor percentual foi para a Macroporosidade para produção de algodão em caroço e produção de fibra.Research, Society and Development2022-06-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3059110.33448/rsd-v11i8.30591Research, Society and Development; Vol. 11 No. 8; e28411830591Research, Society and Development; Vol. 11 Núm. 8; e28411830591Research, Society and Development; v. 11 n. 8; e284118305912525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/30591/26515Copyright (c) 2022 Pâmila Nayana Ferreira Ramos; Omar Roberto da Silveira ; João Carlos de Souza Maiahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRamos, Pâmila Nayana Ferreira Silveira , Omar Roberto da Maia, João Carlos de Souza 2022-07-01T13:34:06Zoai:ojs.pkp.sfu.ca:article/30591Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:47:17.577048Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production Determinación del análisis de regresión lineal simple para explicar la influencia de los atributos físicos del suelo en la producción de algodón Determinação da análise de regressão linear simples para explicar a influência dos atributos físicos do solo na produção do algodão |
title |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production |
spellingShingle |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production Ramos, Pâmila Nayana Ferreira Gossipium hirsutum Solo Variáveis Correlação. Gossipium hirsutum Tierra Variables Correlación. Gossipium hirsutum Ground Variables Correlation. |
title_short |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production |
title_full |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production |
title_fullStr |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production |
title_full_unstemmed |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production |
title_sort |
Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production |
author |
Ramos, Pâmila Nayana Ferreira |
author_facet |
Ramos, Pâmila Nayana Ferreira Silveira , Omar Roberto da Maia, João Carlos de Souza |
author_role |
author |
author2 |
Silveira , Omar Roberto da Maia, João Carlos de Souza |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ramos, Pâmila Nayana Ferreira Silveira , Omar Roberto da Maia, João Carlos de Souza |
dc.subject.por.fl_str_mv |
Gossipium hirsutum Solo Variáveis Correlação. Gossipium hirsutum Tierra Variables Correlación. Gossipium hirsutum Ground Variables Correlation. |
topic |
Gossipium hirsutum Solo Variáveis Correlação. Gossipium hirsutum Tierra Variables Correlación. Gossipium hirsutum Ground Variables Correlation. |
description |
Productivity may differ between different production environments, being a key factor in determining the price and quality of cotton for textile products. These production differences are mainly associated with cultivars and soil physical conditions, which influence the indicative parameters of cotton productivity. Knowledge of the factors that affect the production of seed cotton and cotton fiber is important for the definition of regions with potential for the production of superior quality fibers. Thus, the aim of the present study was to determine simple linear regression analysis to explain the influence of soil physical attributes on seed and fiber cotton production. We sampled 200 points, in 100 plots, involving 13 cotton crops, distributed in the municipalities of Nova Mutum, Pedra Preta and Campo Verde, in the state of Mato Grosso, Brazil. We performed Simple Linear Regression Analysis between soil physical factors and cotton and seed and fiber production. The simple linear regression analysis explained the influence of soil physical attributes (clay, silt, sand, macroporosity, microporosity, total porosity and density) on PFC (coll, harvested form) and PF, which allowed to identify the highest percentage explained by the straight line estimated, and therefore the highest quality of adjustment was obtained for Total Porosity, while the lowest percentage was for Macroporosity for cotton seed production and fiber production. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/30591 10.33448/rsd-v11i8.30591 |
url |
https://rsdjournal.org/index.php/rsd/article/view/30591 |
identifier_str_mv |
10.33448/rsd-v11i8.30591 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/30591/26515 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 8; e28411830591 Research, Society and Development; Vol. 11 Núm. 8; e28411830591 Research, Society and Development; v. 11 n. 8; e28411830591 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052812447711232 |