Expolinear model on soybean growth in Argentina and Brazil

Detalhes bibliográficos
Autor(a) principal: Confalone,Adriana Elisabet
Data de Publicação: 2010
Outros Autores: Bernardes,Marcos Silveira, Costa,Luiz Claudio, Righi,Ciro Abbud, Dourado Neto,Durval, Martin,Thomas Newton, Manfron,Paulo Augusto, Pereira,Carlos Rodrigues
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782010000500002
Resumo: Predicting crop growth and yield with precision are one of the main concerns of the agricultural science. For these purpose mechanistic models of crop growth have been developed and tested worldwide. The feasibility of an expolinear model for crop growth was evaluated on predicting growth modification on soybean (Glycine max L. Merrill) of determined and undetermined growth cultivars, submitted to water restrictions imposed on different phenological stages. An experiment was carried out in Azul/Argentina and in Viçosa/Brazil during the growing seasons (1997/1998, 1998/1999 and 2002/2003). The expolinear model was adjusted to the dry-matter data obtained from each treatment. The model showed sensibility of Rm (maximum relative growth rate of the culture - g g-1 day-1) to variation in air temperature; of Cm (maximum growth rate of the culture - g m-2 day-1) to solar radiation and of Tb (lost time -day) to water stress. Cm values were higher without water restriction presenting, in both countries, a direct correlation with solar radiation. Without water restrictions, Rm values were lower when the average air temperature during the cycle was lower. It was observed that under water stress the culture had a bias to present higher Rm values. Tb was lower in the irrigated treatments than in those with water deficits. The analysis of the outputs clearly shows the feasibility of the expolinear model to explain the differential growth rates of soybean as a consequence of climatic conditions.
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spelling Expolinear model on soybean growth in Argentina and Brazilwater deficitsolar radiationtemperaturephenological phasePredicting crop growth and yield with precision are one of the main concerns of the agricultural science. For these purpose mechanistic models of crop growth have been developed and tested worldwide. The feasibility of an expolinear model for crop growth was evaluated on predicting growth modification on soybean (Glycine max L. Merrill) of determined and undetermined growth cultivars, submitted to water restrictions imposed on different phenological stages. An experiment was carried out in Azul/Argentina and in Viçosa/Brazil during the growing seasons (1997/1998, 1998/1999 and 2002/2003). The expolinear model was adjusted to the dry-matter data obtained from each treatment. The model showed sensibility of Rm (maximum relative growth rate of the culture - g g-1 day-1) to variation in air temperature; of Cm (maximum growth rate of the culture - g m-2 day-1) to solar radiation and of Tb (lost time -day) to water stress. Cm values were higher without water restriction presenting, in both countries, a direct correlation with solar radiation. Without water restrictions, Rm values were lower when the average air temperature during the cycle was lower. It was observed that under water stress the culture had a bias to present higher Rm values. Tb was lower in the irrigated treatments than in those with water deficits. The analysis of the outputs clearly shows the feasibility of the expolinear model to explain the differential growth rates of soybean as a consequence of climatic conditions.Universidade Federal de Santa Maria2010-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782010000500002Ciência Rural v.40 n.5 2010reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782010000500002info:eu-repo/semantics/openAccessConfalone,Adriana ElisabetBernardes,Marcos SilveiraCosta,Luiz ClaudioRighi,Ciro AbbudDourado Neto,DurvalMartin,Thomas NewtonManfron,Paulo AugustoPereira,Carlos Rodrigueseng2010-07-15T00:00:00ZRevista
dc.title.none.fl_str_mv Expolinear model on soybean growth in Argentina and Brazil
title Expolinear model on soybean growth in Argentina and Brazil
spellingShingle Expolinear model on soybean growth in Argentina and Brazil
Confalone,Adriana Elisabet
water deficit
solar radiation
temperature
phenological phase
title_short Expolinear model on soybean growth in Argentina and Brazil
title_full Expolinear model on soybean growth in Argentina and Brazil
title_fullStr Expolinear model on soybean growth in Argentina and Brazil
title_full_unstemmed Expolinear model on soybean growth in Argentina and Brazil
title_sort Expolinear model on soybean growth in Argentina and Brazil
author Confalone,Adriana Elisabet
author_facet Confalone,Adriana Elisabet
Bernardes,Marcos Silveira
Costa,Luiz Claudio
Righi,Ciro Abbud
Dourado Neto,Durval
Martin,Thomas Newton
Manfron,Paulo Augusto
Pereira,Carlos Rodrigues
author_role author
author2 Bernardes,Marcos Silveira
Costa,Luiz Claudio
Righi,Ciro Abbud
Dourado Neto,Durval
Martin,Thomas Newton
Manfron,Paulo Augusto
Pereira,Carlos Rodrigues
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Confalone,Adriana Elisabet
Bernardes,Marcos Silveira
Costa,Luiz Claudio
Righi,Ciro Abbud
Dourado Neto,Durval
Martin,Thomas Newton
Manfron,Paulo Augusto
Pereira,Carlos Rodrigues
dc.subject.por.fl_str_mv water deficit
solar radiation
temperature
phenological phase
topic water deficit
solar radiation
temperature
phenological phase
description Predicting crop growth and yield with precision are one of the main concerns of the agricultural science. For these purpose mechanistic models of crop growth have been developed and tested worldwide. The feasibility of an expolinear model for crop growth was evaluated on predicting growth modification on soybean (Glycine max L. Merrill) of determined and undetermined growth cultivars, submitted to water restrictions imposed on different phenological stages. An experiment was carried out in Azul/Argentina and in Viçosa/Brazil during the growing seasons (1997/1998, 1998/1999 and 2002/2003). The expolinear model was adjusted to the dry-matter data obtained from each treatment. The model showed sensibility of Rm (maximum relative growth rate of the culture - g g-1 day-1) to variation in air temperature; of Cm (maximum growth rate of the culture - g m-2 day-1) to solar radiation and of Tb (lost time -day) to water stress. Cm values were higher without water restriction presenting, in both countries, a direct correlation with solar radiation. Without water restrictions, Rm values were lower when the average air temperature during the cycle was lower. It was observed that under water stress the culture had a bias to present higher Rm values. Tb was lower in the irrigated treatments than in those with water deficits. The analysis of the outputs clearly shows the feasibility of the expolinear model to explain the differential growth rates of soybean as a consequence of climatic conditions.
publishDate 2010
dc.date.none.fl_str_mv 2010-05-01
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=S0103-84782010000500002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782010000500002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782010000500002
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.40 n.5 2010
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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