Interrelationship between cotton parameters and soil chemical properties in Central Brazil

Detalhes bibliográficos
Autor(a) principal: Dalchiavon,Flávio Carlos
Data de Publicação: 2018
Outros Autores: Hiolanda,Rosivaldo, Valadão Júnior,Daniel Dias, Valadão,Franciele Caroline de Assis, Carvalho,Morel de Passos e, Andreotti,Marcelo, Montanari,Rafael
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2018000300006
Resumo: Classical geostatistical techniques and Geostatistics are important tools to correlate, linearly and spatially, vegetal productivity with the soil properties. Spatial and Pearson correlations between the attributes of the cotton plant and the soil properties were used in Campo Novo do Parecis, State of Mato Grosso, Brazil, in 2015 to determine the variability of plant productivity and soil chemical properties in the Savannah of Mato Grosso. A geostatistical grid was established for collection of data of the soil and plant, with 100 sampling points, in a plot with cotton crop. Soil was classified a Typic Tropustox. The variability expressed by the coefficient of variation was predominantly low to moderate for all soil chemical properties and productive variables of cotton. The absence of spatial dependence for soil chemical properties, except pH, indicated that spatial variations should be considered for soil sampling design. Kriging maps for the productive attributes of cotton showed that they have similar spatial distribution patterns in the crop. The productive attributes of the crop with direct relationship on the productivity of seed cotton were the number of reproductive branches and the boll mass, both linear and spatial.
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spelling Interrelationship between cotton parameters and soil chemical properties in Central BrazilBrazilian agribusinessgeostatisticsGossypium hirsutumprecision agriculturesoil fertilityClassical geostatistical techniques and Geostatistics are important tools to correlate, linearly and spatially, vegetal productivity with the soil properties. Spatial and Pearson correlations between the attributes of the cotton plant and the soil properties were used in Campo Novo do Parecis, State of Mato Grosso, Brazil, in 2015 to determine the variability of plant productivity and soil chemical properties in the Savannah of Mato Grosso. A geostatistical grid was established for collection of data of the soil and plant, with 100 sampling points, in a plot with cotton crop. Soil was classified a Typic Tropustox. The variability expressed by the coefficient of variation was predominantly low to moderate for all soil chemical properties and productive variables of cotton. The absence of spatial dependence for soil chemical properties, except pH, indicated that spatial variations should be considered for soil sampling design. Kriging maps for the productive attributes of cotton showed that they have similar spatial distribution patterns in the crop. The productive attributes of the crop with direct relationship on the productivity of seed cotton were the number of reproductive branches and the boll mass, both linear and spatial.Sociedade de Ciências Agrárias de Portugal2018-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2018000300006Revista de Ciências Agrárias v.41 n.3 2018reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2018000300006Dalchiavon,Flávio CarlosHiolanda,RosivaldoValadão Júnior,Daniel DiasValadão,Franciele Caroline de AssisCarvalho,Morel de Passos eAndreotti,MarceloMontanari,Rafaelinfo:eu-repo/semantics/openAccess2024-02-06T17:02:34Zoai:scielo:S0871-018X2018000300006Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:17:34.252961Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Interrelationship between cotton parameters and soil chemical properties in Central Brazil
title Interrelationship between cotton parameters and soil chemical properties in Central Brazil
spellingShingle Interrelationship between cotton parameters and soil chemical properties in Central Brazil
Dalchiavon,Flávio Carlos
Brazilian agribusiness
geostatistics
Gossypium hirsutum
precision agriculture
soil fertility
title_short Interrelationship between cotton parameters and soil chemical properties in Central Brazil
title_full Interrelationship between cotton parameters and soil chemical properties in Central Brazil
title_fullStr Interrelationship between cotton parameters and soil chemical properties in Central Brazil
title_full_unstemmed Interrelationship between cotton parameters and soil chemical properties in Central Brazil
title_sort Interrelationship between cotton parameters and soil chemical properties in Central Brazil
author Dalchiavon,Flávio Carlos
author_facet Dalchiavon,Flávio Carlos
Hiolanda,Rosivaldo
Valadão Júnior,Daniel Dias
Valadão,Franciele Caroline de Assis
Carvalho,Morel de Passos e
Andreotti,Marcelo
Montanari,Rafael
author_role author
author2 Hiolanda,Rosivaldo
Valadão Júnior,Daniel Dias
Valadão,Franciele Caroline de Assis
Carvalho,Morel de Passos e
Andreotti,Marcelo
Montanari,Rafael
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Dalchiavon,Flávio Carlos
Hiolanda,Rosivaldo
Valadão Júnior,Daniel Dias
Valadão,Franciele Caroline de Assis
Carvalho,Morel de Passos e
Andreotti,Marcelo
Montanari,Rafael
dc.subject.por.fl_str_mv Brazilian agribusiness
geostatistics
Gossypium hirsutum
precision agriculture
soil fertility
topic Brazilian agribusiness
geostatistics
Gossypium hirsutum
precision agriculture
soil fertility
description Classical geostatistical techniques and Geostatistics are important tools to correlate, linearly and spatially, vegetal productivity with the soil properties. Spatial and Pearson correlations between the attributes of the cotton plant and the soil properties were used in Campo Novo do Parecis, State of Mato Grosso, Brazil, in 2015 to determine the variability of plant productivity and soil chemical properties in the Savannah of Mato Grosso. A geostatistical grid was established for collection of data of the soil and plant, with 100 sampling points, in a plot with cotton crop. Soil was classified a Typic Tropustox. The variability expressed by the coefficient of variation was predominantly low to moderate for all soil chemical properties and productive variables of cotton. The absence of spatial dependence for soil chemical properties, except pH, indicated that spatial variations should be considered for soil sampling design. Kriging maps for the productive attributes of cotton showed that they have similar spatial distribution patterns in the crop. The productive attributes of the crop with direct relationship on the productivity of seed cotton were the number of reproductive branches and the boll mass, both linear and spatial.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-01
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dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-018X2018000300006
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dc.language.iso.fl_str_mv eng
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dc.publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
publisher.none.fl_str_mv Sociedade de Ciências Agrárias de Portugal
dc.source.none.fl_str_mv Revista de Ciências Agrárias v.41 n.3 2018
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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