02318naa a2200253 a 450000100080000000500110000800800410001902400280006010000300008824501260011826000090024452015240025365000160177765000110179365000100180465000210181465000150183570000200185070000210187070000270189170000290191870000260194777300910197321183192020-06-04       2020    bl uuuu     u00u1 u    #d7 a10.1002/jsfa.101642DOI1 aMORAES, J. R. da S. C. de  aAgrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon.h[electronic resource]  c2020  aThe increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and November for the RAINF.  aCrop models  aAçaí  aClima  aEuterpe Oleracea  aProdução1 aROLIM, G. de S.1 aMARTORANO, L. G.1 aAPARECIDO, L. E. de O.1 aOLIVEIRA, M. do S. P. de1 aFARIAS NETO, J. T. de  tJournal of the Science of Food and Agriculturegv. 100, n. 4, p. 1558-1569, Mar. 2020.