Flowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil.

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dc.contributorLUDMILLA 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.
dc.creatorJUSTINO, L. F.
dc.creatorHONORIO FILHO, G. R.
dc.creatorMATTA, D. H. da
dc.creatorSTONE, L. F.
dc.creatorHEINEMANN, A. B.
dc.date2024-04-24T13:54:46Z
dc.date2024-04-24T13:54:46Z
dc.date2024-04-24
dc.date2024
dc.date.accessioned2026-07-01T00:10:13Z
dc.descriptionThis 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.
dc.identifierRevista Ceres, v. 71, e71007, 2024.
dc.identifier2177-3491
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1163848
dc.identifier.urihttp://hdl.handle.net/123456789/398878
dc.languagepor
dc.rightsopenAccess
dc.subjectPredictive model
dc.subjectArroz
dc.subjectOryza Sativa
dc.subjectFenologia
dc.subjectTemperatura
dc.subjectUmidade Relativa
dc.subjectRadiação Solar
dc.subjectClima
dc.subjectPhenology
dc.subjectClimate
dc.subjectRice
dc.subjectSolar radiation
dc.subjectRelative humidity
dc.subjectAir temperature
dc.titleFlowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil.
dc.typeArtigo de periódico

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