Number of leaves and phenology of rice hybrids simulated by the SimulArroz model
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000400221 |
Resumo: | ABSTRACT Process-based-models can predict leaf and reproductive development of agricultural crops. The objective of this study was to calibrate and evaluate the SimulArroz model in simulating the number of leaves on the main culm and the phenology of three hybrid rice cultivars in Rio Grande do Sul, Brazil. Field experiments were conducted in Santa Maria, Cachoeirinha, Uruguaiana and Santa Vitória do Palmar, in Rio Grande do Sul state, in two growing seasons. Observations were made to determine the number of leaves in the main culm through the Haun scale and the phenology of three hybrid cultivars (PRIME CL, INOV CL and QM 1010 CL) and a conventional rice cultivar used as a control (IRGA 424). The calibration of the SimulArroz model was efficient for simulating the number of leaves and phenology as a function of the sowing date and maturity group of three hybrid rice cultivars in Rio Grande do Sul. |
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Number of leaves and phenology of rice hybrids simulated by the SimulArroz modelOryza sativaHaun stagethermal timeABSTRACT Process-based-models can predict leaf and reproductive development of agricultural crops. The objective of this study was to calibrate and evaluate the SimulArroz model in simulating the number of leaves on the main culm and the phenology of three hybrid rice cultivars in Rio Grande do Sul, Brazil. Field experiments were conducted in Santa Maria, Cachoeirinha, Uruguaiana and Santa Vitória do Palmar, in Rio Grande do Sul state, in two growing seasons. Observations were made to determine the number of leaves in the main culm through the Haun scale and the phenology of three hybrid cultivars (PRIME CL, INOV CL and QM 1010 CL) and a conventional rice cultivar used as a control (IRGA 424). The calibration of the SimulArroz model was efficient for simulating the number of leaves and phenology as a function of the sowing date and maturity group of three hybrid rice cultivars in Rio Grande do Sul.Departamento de Engenharia Agrícola - UFCG2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000400221Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.4 2017reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v21n4p221-226info:eu-repo/semantics/openAccessRibas,Giovana G.Streck,Nereu A.Duarte Junior,Ary J.Nascimento,Moises F. doZanon,Alencar J.Silva,Michel R. daeng2017-04-18T00:00:00Zoai:scielo:S1415-43662017000400221Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2017-04-18T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
title |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
spellingShingle |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model Ribas,Giovana G. Oryza sativa Haun stage thermal time |
title_short |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
title_full |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
title_fullStr |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
title_full_unstemmed |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
title_sort |
Number of leaves and phenology of rice hybrids simulated by the SimulArroz model |
author |
Ribas,Giovana G. |
author_facet |
Ribas,Giovana G. Streck,Nereu A. Duarte Junior,Ary J. Nascimento,Moises F. do Zanon,Alencar J. Silva,Michel R. da |
author_role |
author |
author2 |
Streck,Nereu A. Duarte Junior,Ary J. Nascimento,Moises F. do Zanon,Alencar J. Silva,Michel R. da |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ribas,Giovana G. Streck,Nereu A. Duarte Junior,Ary J. Nascimento,Moises F. do Zanon,Alencar J. Silva,Michel R. da |
dc.subject.por.fl_str_mv |
Oryza sativa Haun stage thermal time |
topic |
Oryza sativa Haun stage thermal time |
description |
ABSTRACT Process-based-models can predict leaf and reproductive development of agricultural crops. The objective of this study was to calibrate and evaluate the SimulArroz model in simulating the number of leaves on the main culm and the phenology of three hybrid rice cultivars in Rio Grande do Sul, Brazil. Field experiments were conducted in Santa Maria, Cachoeirinha, Uruguaiana and Santa Vitória do Palmar, in Rio Grande do Sul state, in two growing seasons. Observations were made to determine the number of leaves in the main culm through the Haun scale and the phenology of three hybrid cultivars (PRIME CL, INOV CL and QM 1010 CL) and a conventional rice cultivar used as a control (IRGA 424). The calibration of the SimulArroz model was efficient for simulating the number of leaves and phenology as a function of the sowing date and maturity group of three hybrid rice cultivars in Rio Grande do Sul. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-01 |
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=S1415-43662017000400221 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000400221 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v21n4p221-226 |
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 |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.4 2017 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
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1750297685209907200 |