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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
24/04/2024 |
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Data da última atualização: |
24/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
JUSTINO, L. F.; HONORIO FILHO, G. R.; MATTA, D. H. da; STONE, L. F.; HEINEMANN, A. B. |
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Afiliação: |
LUDMILLA FERREIRA JUSTINO, UNIVERSIDADE FEDERAL DE GOIÁS; GUTEMBERG RESENDE HONORIO FILHO, UNIVERSIDADE FEDERAL DE GOIÁS; DAVID HENRIQUES DA MATTA, UNIVERSIDADE FEDERAL DE GOIÁS; LUIS FERNANDO STONE, CNPAF; ALEXANDRE BRYAN HEINEMANN, CNPAF. |
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Título: |
Flowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Revista Ceres, v. 71, e71007, 2024. |
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ISSN: |
2177-3491 |
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Idioma: |
Português |
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Conteúdo: |
This study aimed to analyze the influence of climatic and geographic variables on the flowering process of flood-irrigated rice in the Midwest and North regions of Brazil. Agronomic data from the breeding program were related to the following variables: air temperature, relative humidity, global solar radiation, rainfall, degree days, latitude, longitude, and altitude. The analysis was performed using Multiple Linear Regression (MLR) and Generalized Additive (GAM) models. Cross-validation determined the most suitable model. The GAM model showed the best performance for both regions. In the Midwest and North of Brazil, flowering was strongly influenced by climate variables related to temperature. The rise in minimum temperatures tends to advance flowering. Higher minimum accumulated temperatures tend to delay flowering. |
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Palavras-Chave: |
Predictive model. |
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Thesagro: |
Arroz; Clima; Fenologia; Oryza Sativa; Radiação Solar; Temperatura; Umidade Relativa. |
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Thesaurus Nal: |
Air temperature; Climate; Phenology; Relative humidity; Rice; Solar radiation. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1163848/1/rceres-2024.pdf
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Marc: |
LEADER 01754naa a2200349 a 4500
001 2163848
005 2024-04-24
008 2024 bl uuuu u00u1 u #d
022 $a2177-3491
100 1 $aJUSTINO, L. F.
245 $aFlowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil.$h[electronic resource]
260 $c2024
520 $aThis study aimed to analyze the influence of climatic and geographic variables on the flowering process of flood-irrigated rice in the Midwest and North regions of Brazil. Agronomic data from the breeding program were related to the following variables: air temperature, relative humidity, global solar radiation, rainfall, degree days, latitude, longitude, and altitude. The analysis was performed using Multiple Linear Regression (MLR) and Generalized Additive (GAM) models. Cross-validation determined the most suitable model. The GAM model showed the best performance for both regions. In the Midwest and North of Brazil, flowering was strongly influenced by climate variables related to temperature. The rise in minimum temperatures tends to advance flowering. Higher minimum accumulated temperatures tend to delay flowering.
650 $aAir temperature
650 $aClimate
650 $aPhenology
650 $aRelative humidity
650 $aRice
650 $aSolar radiation
650 $aArroz
650 $aClima
650 $aFenologia
650 $aOryza Sativa
650 $aRadiação Solar
650 $aTemperatura
650 $aUmidade Relativa
653 $aPredictive model
700 1 $aHONORIO FILHO, G. R.
700 1 $aMATTA, D. H. da
700 1 $aSTONE, L. F.
700 1 $aHEINEMANN, A. B.
773 $tRevista Ceres$gv. 71, e71007, 2024.
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Embrapa Arroz e Feijão (CNPAF) |
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