Geostatistical analysis of crop yield maps in a long term no tillage system

Detalhes bibliográficos
Autor(a) principal: Guedes Filho,Osvaldo
Data de Publicação: 2010
Outros Autores: Vieira,Sidney Rosa, Chiba,Marcio Koiti, Grego,Célia Regina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500003
Resumo: It is known, for a long time, that crop yields are not uniform at the field. In some places, it is possible to distinguish sites with both low and high yields even within the same area. This work aimed to evaluate the spatial and temporal variability of some crop yields and to identify potential zones for site specific management in an area under no-tillage system for 23 years. Data were analyzed from a 3.42 ha long term experimental area at the Centro Experimental Central of the Instituto Agronômico, located in Campinas, Sao Paulo State, Brazil. The crop yield data evaluated included the following crops: soybean, maize, lablab and triticale, and all of them were cultivated since 1985 and sampled at a regular grid of 302 points. Data were normalized and analyzed using descriptive statistics and geostatistical tools in order to demonstrate and describe the structure of the spatial variability. All crop yields showed high variability. All of them also showed spatial dependence and were fitted to the spherical model, except for the yield of the maize in 1999 productivity which was fitted to the exponential model. The north part of the area presented repeated high values of productivity in some years. There was a positive cross correlation amongst the productivity values, especially for the maize crops.
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spelling Geostatistical analysis of crop yield maps in a long term no tillage systemSpatial variabilitycross semivariogrammanagement zonesIt is known, for a long time, that crop yields are not uniform at the field. In some places, it is possible to distinguish sites with both low and high yields even within the same area. This work aimed to evaluate the spatial and temporal variability of some crop yields and to identify potential zones for site specific management in an area under no-tillage system for 23 years. Data were analyzed from a 3.42 ha long term experimental area at the Centro Experimental Central of the Instituto Agronômico, located in Campinas, Sao Paulo State, Brazil. The crop yield data evaluated included the following crops: soybean, maize, lablab and triticale, and all of them were cultivated since 1985 and sampled at a regular grid of 302 points. Data were normalized and analyzed using descriptive statistics and geostatistical tools in order to demonstrate and describe the structure of the spatial variability. All crop yields showed high variability. All of them also showed spatial dependence and were fitted to the spherical model, except for the yield of the maize in 1999 productivity which was fitted to the exponential model. The north part of the area presented repeated high values of productivity in some years. There was a positive cross correlation amongst the productivity values, especially for the maize crops.Instituto Agronômico de Campinas2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500003Bragantia v.69 suppl.0 2010reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/S0006-87052010000500003info:eu-repo/semantics/openAccessGuedes Filho,OsvaldoVieira,Sidney RosaChiba,Marcio KoitiGrego,Célia Reginaeng2011-02-14T00:00:00Zoai:scielo:S0006-87052010000500003Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2011-02-14T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Geostatistical analysis of crop yield maps in a long term no tillage system
title Geostatistical analysis of crop yield maps in a long term no tillage system
spellingShingle Geostatistical analysis of crop yield maps in a long term no tillage system
Guedes Filho,Osvaldo
Spatial variability
cross semivariogram
management zones
title_short Geostatistical analysis of crop yield maps in a long term no tillage system
title_full Geostatistical analysis of crop yield maps in a long term no tillage system
title_fullStr Geostatistical analysis of crop yield maps in a long term no tillage system
title_full_unstemmed Geostatistical analysis of crop yield maps in a long term no tillage system
title_sort Geostatistical analysis of crop yield maps in a long term no tillage system
author Guedes Filho,Osvaldo
author_facet Guedes Filho,Osvaldo
Vieira,Sidney Rosa
Chiba,Marcio Koiti
Grego,Célia Regina
author_role author
author2 Vieira,Sidney Rosa
Chiba,Marcio Koiti
Grego,Célia Regina
author2_role author
author
author
dc.contributor.author.fl_str_mv Guedes Filho,Osvaldo
Vieira,Sidney Rosa
Chiba,Marcio Koiti
Grego,Célia Regina
dc.subject.por.fl_str_mv Spatial variability
cross semivariogram
management zones
topic Spatial variability
cross semivariogram
management zones
description It is known, for a long time, that crop yields are not uniform at the field. In some places, it is possible to distinguish sites with both low and high yields even within the same area. This work aimed to evaluate the spatial and temporal variability of some crop yields and to identify potential zones for site specific management in an area under no-tillage system for 23 years. Data were analyzed from a 3.42 ha long term experimental area at the Centro Experimental Central of the Instituto Agronômico, located in Campinas, Sao Paulo State, Brazil. The crop yield data evaluated included the following crops: soybean, maize, lablab and triticale, and all of them were cultivated since 1985 and sampled at a regular grid of 302 points. Data were normalized and analyzed using descriptive statistics and geostatistical tools in order to demonstrate and describe the structure of the spatial variability. All crop yields showed high variability. All of them also showed spatial dependence and were fitted to the spherical model, except for the yield of the maize in 1999 productivity which was fitted to the exponential model. The north part of the area presented repeated high values of productivity in some years. There was a positive cross correlation amongst the productivity values, especially for the maize crops.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0006-87052010000500003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.69 suppl.0 2010
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
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institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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