01754naa a2200349 a 450000100080000000500110000800800410001902200140006010000190007424501170009326000090021052008350021965000200105465000120107465000140108665000220110065000090112265000200113165000100115165000100116165000140117165000170118565000210120265000160122365000210123965300210126070000250128170000200130670000170132670000210134377300400136421638482024-04-24       2024    bl uuuu     u00u1 u    #d  a2177-34911 aJUSTINO, L. F.  aFlowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil.h[electronic resource]  c2024  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.  aAir temperature  aClimate  aPhenology  aRelative humidity  aRice  aSolar radiation  aArroz  aClima  aFenologia  aOryza Sativa  aRadiação Solar  aTemperatura  aUmidade Relativa  aPredictive model1 aHONORIO FILHO, G. R.1 aMATTA, D. H. da1 aSTONE, L. F.1 aHEINEMANN, A. B.  tRevista Ceresgv. 71, e71007, 2024.