Components of the spatial variability in site‑specific management in banana

Detalhes bibliográficos
Autor(a) principal: Sánchez, Darío Antonio Castañeda
Data de Publicação: 2011
Outros Autores: Jaramillo, Daniel Francisco Jaramillo, Torres, José Miguel Cotes
Tipo de documento: Artigo
Idioma: spa
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/2868
Resumo: The objective of this work was to evaluate the spatial variability of banana production, in function of physical and chemical variables of soil and of farm physiographic characteristics, in order to select those with the greatest potential for use in site‑specific management program. One hundred thirty productive units of banana clone Williams (Cavendish AAA) distributed in four lots and tree soils units of the farm were georeferenced. The bunch weight and root functionality were determined for each plant, as well as 35 physical and chemical soil variables. The spatial variability of the production was evaluated in function of these soil variables, using four different strategies: axes as covariates; both physic and chemical soil properties as covariates; analysis made by individual plot; and analysis made by soil unit. The individual plot study was the best strategy to model the spatial variability of banana production. This analysis model allowed to set soil variable groups which were significantly correlated and precisely explained more than 69% of the bunch weight inside the plots. These groups of variables are the ones with higher potential for the establishment of a site‑specific management program.
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spelling Components of the spatial variability in site‑specific management in bananaComponentes de la variabilidad espacial en el manejo por sitio específico en bananoComponents of the spatial variability in site‑specific management in bananaMusa acuminata; precision agriculture; geostatistics; spatial trends; variogramMusa acuminata; agricultura de precisión; geoestadística; tendencia espacial; variogramaMusa acuminata; precision agriculture; geostatistics; spatial trends; variogramThe objective of this work was to evaluate the spatial variability of banana production, in function of physical and chemical variables of soil and of farm physiographic characteristics, in order to select those with the greatest potential for use in site‑specific management program. One hundred thirty productive units of banana clone Williams (Cavendish AAA) distributed in four lots and tree soils units of the farm were georeferenced. The bunch weight and root functionality were determined for each plant, as well as 35 physical and chemical soil variables. The spatial variability of the production was evaluated in function of these soil variables, using four different strategies: axes as covariates; both physic and chemical soil properties as covariates; analysis made by individual plot; and analysis made by soil unit. The individual plot study was the best strategy to model the spatial variability of banana production. This analysis model allowed to set soil variable groups which were significantly correlated and precisely explained more than 69% of the bunch weight inside the plots. These groups of variables are the ones with higher potential for the establishment of a site‑specific management program.El objetivo de este trabajo fue evaluar la variabilidad espacial de la producción de banano en función de variables físicas y químicas del suelo y de las características fisiográficas de la finca, con miras a seleccionar aquellas con mayor potencial de uso en programas de manejo por sitio específico. Se georreferenciaron 130 unidades productivas de banano clon Williams (Cavendish AAA) distribuidas en cuatro lotes de la finca y tres unidades de suelo. Se determinó el peso del racimo y la cantidad de raíz funcional, para cada planta, y 35 variables físicas y químicas del suelo. Se relacionó la variabilidad espacial de la producción en función de las variables del suelo, a partir de cuatro estrategias: ejes coordenados como covariables; variables físicas y químicas del suelo y raíz funcional como covariables; división del análisis por lotes; y división del análisis por unidades de suelo. La división por lotes resultó ser la mejor estrategia para modelar la variabilidad espacial de la producción de banano. El análisis por este modelo permitió establecer grupos de variables del suelo que se relacionaron significativamente y explicaron más del 69% del peso de los racimos de banano dentro de cada lote. Estos grupos de variables son los de mayor potencial para el establecimiento de un programa de manejo por sitio específico.The objective of this work was to evaluate the spatial variability of banana production, in function of physical and chemical variables of soil and of farm physiographic characteristics, in order to select those with the greatest potential for use in site-specific management program. One hundred thirty productive units of banana clone Williams (Cavendish AAA) distributed in four lots and tree soils units of the farm were georeferenced. The bunch weight and root functionality were determined for each plant, as well as 35 physical and chemical soil variables. The spatial variability of the production was evaluated in function of these soil variables, using four different strategies: axes as covariates; both physic and chemical soil properties as covariates; analysis made by individual plot; and analysis made by soil unit. The individual plot study was the best strategy to model the spatial variability of banana production. This analysis model allowed to set soil variable groups which were significantly correlated and precisely explained more than 69% of the bunch weight inside the plots. These groups of variables are the ones with higher potential for the establishment of a site-specific management program.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraDireccion de Investigaciones Universidad Nacional de Colombia Sede Medellín (DIME)Sánchez, Darío Antonio CastañedaJaramillo, Daniel Francisco JaramilloTorres, José Miguel Cotes2011-01-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/2868Pesquisa Agropecuaria Brasileira; v.45, n.8, ago. 2010; 836-845Pesquisa Agropecuária Brasileira; v.45, n.8, ago. 2010; 836-8451678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAspahttps://seer.sct.embrapa.br/index.php/pab/article/view/2868/6080https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/2868/2374info:eu-repo/semantics/openAccess2014-11-07T19:22:53Zoai:ojs.seer.sct.embrapa.br:article/2868Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-11-07T19:22:53Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Components of the spatial variability in site‑specific management in banana
Componentes de la variabilidad espacial en el manejo por sitio específico en banano
Components of the spatial variability in site‑specific management in banana
title Components of the spatial variability in site‑specific management in banana
spellingShingle Components of the spatial variability in site‑specific management in banana
Sánchez, Darío Antonio Castañeda
Musa acuminata; precision agriculture; geostatistics; spatial trends; variogram
Musa acuminata; agricultura de precisión; geoestadística; tendencia espacial; variograma
Musa acuminata; precision agriculture; geostatistics; spatial trends; variogram
title_short Components of the spatial variability in site‑specific management in banana
title_full Components of the spatial variability in site‑specific management in banana
title_fullStr Components of the spatial variability in site‑specific management in banana
title_full_unstemmed Components of the spatial variability in site‑specific management in banana
title_sort Components of the spatial variability in site‑specific management in banana
author Sánchez, Darío Antonio Castañeda
author_facet Sánchez, Darío Antonio Castañeda
Jaramillo, Daniel Francisco Jaramillo
Torres, José Miguel Cotes
author_role author
author2 Jaramillo, Daniel Francisco Jaramillo
Torres, José Miguel Cotes
author2_role author
author
dc.contributor.none.fl_str_mv Direccion de Investigaciones Universidad Nacional de Colombia Sede Medellín (DIME)
dc.contributor.author.fl_str_mv Sánchez, Darío Antonio Castañeda
Jaramillo, Daniel Francisco Jaramillo
Torres, José Miguel Cotes
dc.subject.por.fl_str_mv Musa acuminata; precision agriculture; geostatistics; spatial trends; variogram
Musa acuminata; agricultura de precisión; geoestadística; tendencia espacial; variograma
Musa acuminata; precision agriculture; geostatistics; spatial trends; variogram
topic Musa acuminata; precision agriculture; geostatistics; spatial trends; variogram
Musa acuminata; agricultura de precisión; geoestadística; tendencia espacial; variograma
Musa acuminata; precision agriculture; geostatistics; spatial trends; variogram
description The objective of this work was to evaluate the spatial variability of banana production, in function of physical and chemical variables of soil and of farm physiographic characteristics, in order to select those with the greatest potential for use in site‑specific management program. One hundred thirty productive units of banana clone Williams (Cavendish AAA) distributed in four lots and tree soils units of the farm were georeferenced. The bunch weight and root functionality were determined for each plant, as well as 35 physical and chemical soil variables. The spatial variability of the production was evaluated in function of these soil variables, using four different strategies: axes as covariates; both physic and chemical soil properties as covariates; analysis made by individual plot; and analysis made by soil unit. The individual plot study was the best strategy to model the spatial variability of banana production. This analysis model allowed to set soil variable groups which were significantly correlated and precisely explained more than 69% of the bunch weight inside the plots. These groups of variables are the ones with higher potential for the establishment of a site‑specific management program.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-27
dc.type.none.fl_str_mv
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://seer.sct.embrapa.br/index.php/pab/article/view/2868
url https://seer.sct.embrapa.br/index.php/pab/article/view/2868
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/2868/6080
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/2868/2374
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.45, n.8, ago. 2010; 836-845
Pesquisa Agropecuária Brasileira; v.45, n.8, ago. 2010; 836-845
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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