Improving predictions of leaf appearance in field grown potato

Detalhes bibliográficos
Autor(a) principal: Streck,Nereu Augusto
Data de Publicação: 2007
Outros Autores: Lago,Isabel, Paula,Fabiana Luiza Matielo de, Bisognin,Dilson Antônio, Heldwein,Arno Bernardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000100002
Resumo: The calculation of leaf appearance rate (LAR) and number of accumulated or emerged leaves (NL) on the main stem are part of many crop simulation models. The purpose of this study was to adapt and evaluate a model (WE model) for simulating the main stem LAR and NL in potato (Solanum tuberosum L.). The WE model is a non-linear multiplicative model that takes into account the effect of genotype and environmental factors on LAR. A linear model (Phyllochron model) was also used as a comparison with the WE model. A series of field experiments with 14 planting dates over two years (2003 and 2004) was carried out in Santa Maria, RS, Brazil, using the cultivar Asterix. Coefficients of the WE model and the phyllochron model were estimated with data from four planting dates in 2003, and the models were validated with data from the other ten plantings, which are independent data. The statistics used to quantify model performance was the root mean square error (RMSE). The WE model was a better predictor of NL (RMSE=2.0 leaves) than the phyllochron model (RMSE=3.7 leaves). The WE model has coefficients with biological meaning and a non-linear temperature response function, which renders generality and robustness to this LAR model.
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spelling Improving predictions of leaf appearance in field grown potatomodelingtemperatureleaf developmentphyllochronThe calculation of leaf appearance rate (LAR) and number of accumulated or emerged leaves (NL) on the main stem are part of many crop simulation models. The purpose of this study was to adapt and evaluate a model (WE model) for simulating the main stem LAR and NL in potato (Solanum tuberosum L.). The WE model is a non-linear multiplicative model that takes into account the effect of genotype and environmental factors on LAR. A linear model (Phyllochron model) was also used as a comparison with the WE model. A series of field experiments with 14 planting dates over two years (2003 and 2004) was carried out in Santa Maria, RS, Brazil, using the cultivar Asterix. Coefficients of the WE model and the phyllochron model were estimated with data from four planting dates in 2003, and the models were validated with data from the other ten plantings, which are independent data. The statistics used to quantify model performance was the root mean square error (RMSE). The WE model was a better predictor of NL (RMSE=2.0 leaves) than the phyllochron model (RMSE=3.7 leaves). The WE model has coefficients with biological meaning and a non-linear temperature response function, which renders generality and robustness to this LAR model.Escola Superior de Agricultura "Luiz de Queiroz"2007-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000100002Scientia Agricola v.64 n.1 2007reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162007000100002info:eu-repo/semantics/openAccessStreck,Nereu AugustoLago,IsabelPaula,Fabiana Luiza Matielo deBisognin,Dilson AntônioHeldwein,Arno Bernardoeng2007-05-28T00:00:00Zoai:scielo:S0103-90162007000100002Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2007-05-28T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Improving predictions of leaf appearance in field grown potato
title Improving predictions of leaf appearance in field grown potato
spellingShingle Improving predictions of leaf appearance in field grown potato
Streck,Nereu Augusto
modeling
temperature
leaf development
phyllochron
title_short Improving predictions of leaf appearance in field grown potato
title_full Improving predictions of leaf appearance in field grown potato
title_fullStr Improving predictions of leaf appearance in field grown potato
title_full_unstemmed Improving predictions of leaf appearance in field grown potato
title_sort Improving predictions of leaf appearance in field grown potato
author Streck,Nereu Augusto
author_facet Streck,Nereu Augusto
Lago,Isabel
Paula,Fabiana Luiza Matielo de
Bisognin,Dilson Antônio
Heldwein,Arno Bernardo
author_role author
author2 Lago,Isabel
Paula,Fabiana Luiza Matielo de
Bisognin,Dilson Antônio
Heldwein,Arno Bernardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Streck,Nereu Augusto
Lago,Isabel
Paula,Fabiana Luiza Matielo de
Bisognin,Dilson Antônio
Heldwein,Arno Bernardo
dc.subject.por.fl_str_mv modeling
temperature
leaf development
phyllochron
topic modeling
temperature
leaf development
phyllochron
description The calculation of leaf appearance rate (LAR) and number of accumulated or emerged leaves (NL) on the main stem are part of many crop simulation models. The purpose of this study was to adapt and evaluate a model (WE model) for simulating the main stem LAR and NL in potato (Solanum tuberosum L.). The WE model is a non-linear multiplicative model that takes into account the effect of genotype and environmental factors on LAR. A linear model (Phyllochron model) was also used as a comparison with the WE model. A series of field experiments with 14 planting dates over two years (2003 and 2004) was carried out in Santa Maria, RS, Brazil, using the cultivar Asterix. Coefficients of the WE model and the phyllochron model were estimated with data from four planting dates in 2003, and the models were validated with data from the other ten plantings, which are independent data. The statistics used to quantify model performance was the root mean square error (RMSE). The WE model was a better predictor of NL (RMSE=2.0 leaves) than the phyllochron model (RMSE=3.7 leaves). The WE model has coefficients with biological meaning and a non-linear temperature response function, which renders generality and robustness to this LAR model.
publishDate 2007
dc.date.none.fl_str_mv 2007-02-01
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=S0103-90162007000100002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000100002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162007000100002
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.64 n.1 2007
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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