AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION

Detalhes bibliográficos
Autor(a) principal: BARNI, NIDIO ANTONIO
Data de Publicação: 1995
Outros Autores: BERLAT0, MOACIR ANTONIO, BERGAMASCH, HOMERO, RIBOLDI, JOÃO
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Gaúcha (Online)
Texto Completo: http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/552
Resumo:  The maximum yield (Ym') of sunflower obtained on basis of efective temperature and on the photosyntheticaly active solar radiation absorved accumulted (PARaa) and that based on the highest sunflower yield reached in 53 environments of the State of Rio Grande do Sul, were penalized in function of the relative water consumption or crop specific dryness index (CSDI), according to the Jenssen multiplicative model. The results show that the adjusted and validated model, based on the relative water consumption in the reproductive subperiod, explain about 80 % of the variation in the sunflower yield in Rio Grande do Sul. The model showed good perpormance in the yield prediction (r = 0.926; b = 0.993). The sunflower grain yield may be predicted with four weelcs bef ore the harvest time, using the multiplicative model in which the Ym he the maximum yield estimated in function of the PARaa (Ym'). 
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spelling AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION MODELO AGROMETEOROLÓGICO DE PREDIÇÃO DO RENDIMENTO DO GIRASSOL: II. AJUSTE E VALIDAÇÃO DO MODELOPrediction model, grain yield, water availability.Modelo preditivo, rendimento de grãos, disponibilidade hídrica. The maximum yield (Ym') of sunflower obtained on basis of efective temperature and on the photosyntheticaly active solar radiation absorved accumulted (PARaa) and that based on the highest sunflower yield reached in 53 environments of the State of Rio Grande do Sul, were penalized in function of the relative water consumption or crop specific dryness index (CSDI), according to the Jenssen multiplicative model. The results show that the adjusted and validated model, based on the relative water consumption in the reproductive subperiod, explain about 80 % of the variation in the sunflower yield in Rio Grande do Sul. The model showed good perpormance in the yield prediction (r = 0.926; b = 0.993). The sunflower grain yield may be predicted with four weelcs bef ore the harvest time, using the multiplicative model in which the Ym he the maximum yield estimated in function of the PARaa (Ym'). O rendimento máximo (Ym ') do girassol obtido com base na temperatura efetiva e na radiação solar fotossinteticamente ativa, absorvida, acumulada (PARaa) e aquele fundamentado no maior rendimento do girassol (Ym) verificado em 53 ambientes do Estado do Rio Grande do Sul, foram penalizados em função do consumo relativo de água ou índice de seca específico da cultura (CSDI), conforme o modelo multiplicativo de Jensen. Os resultados mostram que o modelo ajustado e validado, com base no consumo relativo de água no subperíodo reprodutivo, explica cerca de 80 % da variação do rendimento do girassol no Rio Grande do Sul. O modelo apresentou bom desempenho na predição do rendimento (r = 0,926; b = 0,993). O rendimento de grãos de girassol pode ser predito com antecedência de, aproximadamente, 4 semanas da colheita, através do modelo multiplicativo no qual o Ym seja o rendimento máximo estimado em função da PARaa (Ym'Departamento de Diagnóstico e Pesquisa Agropecuária. Secretaria de Agricultura, Pecuária e Desenvolvimento Rural1995-10-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/552Pesquisa Agropecuária Gaúcha; Vol 2 No 1 (1996): PESQ. AGROP. GAÚCHA; 19-31Pesquisa Agropecuária Gaúcha; v. 2 n. 1 (1996): PESQ. AGROP. GAÚCHA; 19-312595-76860104-9070reponame:Pesquisa Agropecuária Gaúcha (Online)instname:Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sulinstacron:SEAPDRporhttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/552/508BARNI, NIDIO ANTONIO BERLAT0, MOACIR ANTONIO BERGAMASCH, HOMERO RIBOLDI, JOÃO info:eu-repo/semantics/openAccess2024-04-22T12:01:36Zoai:ojs.revistapag.agricultura.rs.gov.br:article/552Revistahttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapagPUBhttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/oaipag@agricultura.rs.gov.br||2595-76860104-9070opendoar:2024-04-22T12:01:36Pesquisa Agropecuária Gaúcha (Online) - Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sulfalse
dc.title.none.fl_str_mv AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
MODELO AGROMETEOROLÓGICO DE PREDIÇÃO DO RENDIMENTO DO GIRASSOL: II. AJUSTE E VALIDAÇÃO DO MODELO
title AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
spellingShingle AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
BARNI, NIDIO ANTONIO
Prediction model, grain yield, water availability.
Modelo preditivo, rendimento de grãos, disponibilidade hídrica.
title_short AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
title_full AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
title_fullStr AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
title_full_unstemmed AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
title_sort AGROMETEOROLOGICAL SUNFLOWER YIELD PREDICTION MODEL: II. MODEL ADJUST AND VALIDATION
author BARNI, NIDIO ANTONIO
author_facet BARNI, NIDIO ANTONIO
BERLAT0, MOACIR ANTONIO
BERGAMASCH, HOMERO
RIBOLDI, JOÃO
author_role author
author2 BERLAT0, MOACIR ANTONIO
BERGAMASCH, HOMERO
RIBOLDI, JOÃO
author2_role author
author
author
dc.contributor.author.fl_str_mv BARNI, NIDIO ANTONIO
BERLAT0, MOACIR ANTONIO
BERGAMASCH, HOMERO
RIBOLDI, JOÃO
dc.subject.por.fl_str_mv Prediction model, grain yield, water availability.
Modelo preditivo, rendimento de grãos, disponibilidade hídrica.
topic Prediction model, grain yield, water availability.
Modelo preditivo, rendimento de grãos, disponibilidade hídrica.
description  The maximum yield (Ym') of sunflower obtained on basis of efective temperature and on the photosyntheticaly active solar radiation absorved accumulted (PARaa) and that based on the highest sunflower yield reached in 53 environments of the State of Rio Grande do Sul, were penalized in function of the relative water consumption or crop specific dryness index (CSDI), according to the Jenssen multiplicative model. The results show that the adjusted and validated model, based on the relative water consumption in the reproductive subperiod, explain about 80 % of the variation in the sunflower yield in Rio Grande do Sul. The model showed good perpormance in the yield prediction (r = 0.926; b = 0.993). The sunflower grain yield may be predicted with four weelcs bef ore the harvest time, using the multiplicative model in which the Ym he the maximum yield estimated in function of the PARaa (Ym'). 
publishDate 1995
dc.date.none.fl_str_mv 1995-10-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/552
url http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/552
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/552/508
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Departamento de Diagnóstico e Pesquisa Agropecuária. Secretaria de Agricultura, Pecuária e Desenvolvimento Rural
publisher.none.fl_str_mv Departamento de Diagnóstico e Pesquisa Agropecuária. Secretaria de Agricultura, Pecuária e Desenvolvimento Rural
dc.source.none.fl_str_mv Pesquisa Agropecuária Gaúcha; Vol 2 No 1 (1996): PESQ. AGROP. GAÚCHA; 19-31
Pesquisa Agropecuária Gaúcha; v. 2 n. 1 (1996): PESQ. AGROP. GAÚCHA; 19-31
2595-7686
0104-9070
reponame:Pesquisa Agropecuária Gaúcha (Online)
instname:Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sul
instacron:SEAPDR
instname_str Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sul
instacron_str SEAPDR
institution SEAPDR
reponame_str Pesquisa Agropecuária Gaúcha (Online)
collection Pesquisa Agropecuária Gaúcha (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Gaúcha (Online) - Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sul
repository.mail.fl_str_mv pag@agricultura.rs.gov.br||
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