Modelagem matemática do desenvolvimento foliar em mandioca a campo

Detalhes bibliográficos
Autor(a) principal: Samboranha, Flávia Kaufmann
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/7559
Resumo: Cassava (Manihot esculenta Crantz) is an important crop in several regions of Brazil for having good agronomic performance in soils with low fertility and low water availability. Mathematical models adapted and tested in different environmental conditions are tools to describe the interactions between plant and environment. The objective of this study was to simulate the leaf number (LN) with two mathematical models, one that considers the linear effect and one that considers the nonlinear effect of air temperature on leaf appearance on the stems of cassava. Considering two versions in each model, one version uses the daily mean temperature (Tmean) and the other uses the daily minimum and maximum temperature (Tmm).The linear model is the model that uses the concept of phyllochron and nonlinear model is the Wang; Engel (WE) model. Model coefficients were estimated from a data set of accumulated number leaves, on the main stem and on the sympodial first and second order branching (HP, RS1 and RS2) of the variety of cassava "Fepagro RS 13", collected in experiments conducted on the field area, Crop Science Department, Federal University of Santa Maria, Santa Maria, RS, Brazil, in the growing seasons 2005/2006 and 2007/2008.The evaluation of the models was performed with independent data collected in the same location in the growing seasons 2006/2007, 2008/2009, 2009/2010 and 2010/2011, with different rainfall availability. The WE model provided the best estimate of leaf number in cassava, with a root mean square error (RMSE) of 3.2 and 3.5 leaves, compared with the phyllochron model with 3.7 and 4.4 leaves for LN general utilizing temperature versions Tmean and Tmm, respectively. Among the versions of the models, for simplicity the versions that uses Tmean can be used, but in warmer regions the version that uses the daily minimum and maximum temperature (Tmm) is suggested.
id UFSM_744d250a80a9a25b290f4f85c5264951
oai_identifier_str oai:repositorio.ufsm.br:1/7559
network_acronym_str UFSM
network_name_str Manancial - Repositório Digital da UFSM
repository_id_str
spelling Modelagem matemática do desenvolvimento foliar em mandioca a campoMathematical modeling of leaf development in cassavaManihot esculentaNúmero de folhasWEFilocronoTemperatura do arManihot esculentaLeaf numberWEPhyllochronAir temperatureCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLACassava (Manihot esculenta Crantz) is an important crop in several regions of Brazil for having good agronomic performance in soils with low fertility and low water availability. Mathematical models adapted and tested in different environmental conditions are tools to describe the interactions between plant and environment. The objective of this study was to simulate the leaf number (LN) with two mathematical models, one that considers the linear effect and one that considers the nonlinear effect of air temperature on leaf appearance on the stems of cassava. Considering two versions in each model, one version uses the daily mean temperature (Tmean) and the other uses the daily minimum and maximum temperature (Tmm).The linear model is the model that uses the concept of phyllochron and nonlinear model is the Wang; Engel (WE) model. Model coefficients were estimated from a data set of accumulated number leaves, on the main stem and on the sympodial first and second order branching (HP, RS1 and RS2) of the variety of cassava "Fepagro RS 13", collected in experiments conducted on the field area, Crop Science Department, Federal University of Santa Maria, Santa Maria, RS, Brazil, in the growing seasons 2005/2006 and 2007/2008.The evaluation of the models was performed with independent data collected in the same location in the growing seasons 2006/2007, 2008/2009, 2009/2010 and 2010/2011, with different rainfall availability. The WE model provided the best estimate of leaf number in cassava, with a root mean square error (RMSE) of 3.2 and 3.5 leaves, compared with the phyllochron model with 3.7 and 4.4 leaves for LN general utilizing temperature versions Tmean and Tmm, respectively. Among the versions of the models, for simplicity the versions that uses Tmean can be used, but in warmer regions the version that uses the daily minimum and maximum temperature (Tmm) is suggested.Conselho Nacional de Desenvolvimento Científico e TecnológicoA mandioca (Manihot esculenta Crantz) é uma cultura importante em várias regiões do Brasil, por ter desempenho agronômico satisfatório em solos com baixa fertilidade e baixa disponibilidade hídrica. Modelos matemáticos adaptados e testados em diferentes condições ambientais são ferramentas que permitem descrever as interações entre a planta e o ambiente. Neste estudo objetivou-se simular a emissão do número de folhas (NF) com dois modelos matemáticos, um que considera o efeito linear e outro que considera o efeito não linear da temperatura do ar sobre o aparecimento de folhas nas hastes da mandioca, considerando duas versões de cada modelo, uma versão com a temperatura média diária do ar (Tmed) e outra com a temperatura mínima e máxima do ar (Tmm). O modelo linear é o modelo que utiliza o conceito do filocrono e o não-linear é o modelo de Wang; Engel (WE). Para estimar os coeficientes dos modelos foi usado um conjunto de dados de número de folhas acumuladas, na haste principal e na ramificação simpodial de primeira e segunda ordem (HP, RS1 e RS2) da variedade de mandioca FEPAGRO RS 13 , coletados em experimentos conduzidos na área experimental do Departamento de Fitotecnia da Universidade Federal de Santa Maria, RS, nos anos agrícolas 2005/2006 e 2007/2008 (em duas datas de plantio). A avaliação dos modelos foi realizada com dados independentes coletados no mesmo local nos anos agrícolas de 2006/2007, 2008/2009, 2009/2010 e 2010/2011, os quais tiveram distintas disponibilidades de precipitação pluviométrica. O modelo de WE proporcionou melhor estimativa para o número de folhas em mandioca, com valor de raiz do quadrado médio do erro de 3,2 e 3,5 folhas, comparado com o modelo do filocrono com 3,7 e 4,4 folhas para NF geral usando as versões de temperatura Tmed e Tmm, respectivamente. Entre as versões dos dois modelos, por simplicidade pode-se usar a versão que usa a Tmed, mas em regiões mais quentes sugere-se usar a versão que usa a temperatura mínima e máxima diárias do ar (Tmm).Universidade Federal de Santa MariaBREngenharia AgrícolaUFSMPrograma de Pós-Graduação em Engenharia AgrícolaStreck, Nereu Augustohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4721150P1Streck, Lucianohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794800T6Alberto, Cleber Maushttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236721E6Samboranha, Flávia Kaufmann2013-06-032013-06-032012-02-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfSAMBORANHA, Flávia Kaufmann. MATHEMATICAL MODELING OF LEAF DEVELOPMENT IN CASSAVA. 2012. 71 f. Dissertação (Mestrado em Engenharia Agrícola) - Universidade Federal de Santa Maria, Santa Maria, 2012.http://repositorio.ufsm.br/handle/1/7559porinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-03-07T17:41:59Zoai:repositorio.ufsm.br:1/7559Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-03-07T17:41:59Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Modelagem matemática do desenvolvimento foliar em mandioca a campo
Mathematical modeling of leaf development in cassava
title Modelagem matemática do desenvolvimento foliar em mandioca a campo
spellingShingle Modelagem matemática do desenvolvimento foliar em mandioca a campo
Samboranha, Flávia Kaufmann
Manihot esculenta
Número de folhas
WE
Filocrono
Temperatura do ar
Manihot esculenta
Leaf number
WE
Phyllochron
Air temperature
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Modelagem matemática do desenvolvimento foliar em mandioca a campo
title_full Modelagem matemática do desenvolvimento foliar em mandioca a campo
title_fullStr Modelagem matemática do desenvolvimento foliar em mandioca a campo
title_full_unstemmed Modelagem matemática do desenvolvimento foliar em mandioca a campo
title_sort Modelagem matemática do desenvolvimento foliar em mandioca a campo
author Samboranha, Flávia Kaufmann
author_facet Samboranha, Flávia Kaufmann
author_role author
dc.contributor.none.fl_str_mv Streck, Nereu Augusto
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4721150P1
Streck, Luciano
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794800T6
Alberto, Cleber Maus
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4236721E6
dc.contributor.author.fl_str_mv Samboranha, Flávia Kaufmann
dc.subject.por.fl_str_mv Manihot esculenta
Número de folhas
WE
Filocrono
Temperatura do ar
Manihot esculenta
Leaf number
WE
Phyllochron
Air temperature
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
topic Manihot esculenta
Número de folhas
WE
Filocrono
Temperatura do ar
Manihot esculenta
Leaf number
WE
Phyllochron
Air temperature
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description Cassava (Manihot esculenta Crantz) is an important crop in several regions of Brazil for having good agronomic performance in soils with low fertility and low water availability. Mathematical models adapted and tested in different environmental conditions are tools to describe the interactions between plant and environment. The objective of this study was to simulate the leaf number (LN) with two mathematical models, one that considers the linear effect and one that considers the nonlinear effect of air temperature on leaf appearance on the stems of cassava. Considering two versions in each model, one version uses the daily mean temperature (Tmean) and the other uses the daily minimum and maximum temperature (Tmm).The linear model is the model that uses the concept of phyllochron and nonlinear model is the Wang; Engel (WE) model. Model coefficients were estimated from a data set of accumulated number leaves, on the main stem and on the sympodial first and second order branching (HP, RS1 and RS2) of the variety of cassava "Fepagro RS 13", collected in experiments conducted on the field area, Crop Science Department, Federal University of Santa Maria, Santa Maria, RS, Brazil, in the growing seasons 2005/2006 and 2007/2008.The evaluation of the models was performed with independent data collected in the same location in the growing seasons 2006/2007, 2008/2009, 2009/2010 and 2010/2011, with different rainfall availability. The WE model provided the best estimate of leaf number in cassava, with a root mean square error (RMSE) of 3.2 and 3.5 leaves, compared with the phyllochron model with 3.7 and 4.4 leaves for LN general utilizing temperature versions Tmean and Tmm, respectively. Among the versions of the models, for simplicity the versions that uses Tmean can be used, but in warmer regions the version that uses the daily minimum and maximum temperature (Tmm) is suggested.
publishDate 2012
dc.date.none.fl_str_mv 2012-02-03
2013-06-03
2013-06-03
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv SAMBORANHA, Flávia Kaufmann. MATHEMATICAL MODELING OF LEAF DEVELOPMENT IN CASSAVA. 2012. 71 f. Dissertação (Mestrado em Engenharia Agrícola) - Universidade Federal de Santa Maria, Santa Maria, 2012.
http://repositorio.ufsm.br/handle/1/7559
identifier_str_mv SAMBORANHA, Flávia Kaufmann. MATHEMATICAL MODELING OF LEAF DEVELOPMENT IN CASSAVA. 2012. 71 f. Dissertação (Mestrado em Engenharia Agrícola) - Universidade Federal de Santa Maria, Santa Maria, 2012.
url http://repositorio.ufsm.br/handle/1/7559
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Engenharia Agrícola
UFSM
Programa de Pós-Graduação em Engenharia Agrícola
publisher.none.fl_str_mv Universidade Federal de Santa Maria
BR
Engenharia Agrícola
UFSM
Programa de Pós-Graduação em Engenharia Agrícola
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
_version_ 1805922090650435584