Determination of simple linear regression analysis to explain the influence of soil physical attributes on cotton production

Detalhes bibliográficos
Autor(a) principal: Ramos, Pâmila Nayana Ferreira
Data de Publicação: 2022
Outros Autores: Silveira , Omar Roberto da, Maia, João Carlos de Souza
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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spelling 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
_version_ 1797052812447711232

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