02217naa a2200253 a 450000100080000000500110000800800410001902400510006010000240011124501150013526000090025052014620025965000230172165000180174465000220176265000190178465000210180365300180182470000180184270000190186070000130187970000210189277300500191320954762019-01-03       2018    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.fcr.2018.04.0152DOI1 aPEZZOPANE, J. R. M.  aAn integrated agrometeorological model to simulate Marandu palisade grass productivity.h[electronic resource]  c2018  aClimate aspects are important for forage production. Therefore, mathematical models that account for such aspects are useful tools to help decision making and improve pasture management. The objective of this study was to develop and parameterize an agrometeorological model based on solar radiation, temperature and soil water availability to estimate Urochloa (syn. Brachiaria) brizantha cv. Marandu production. Such model was parameterized with data from nine growth cycles of an experiment conducted in 2011/2012. For this, base temperature (Tb), radiation use efficiency (RUE) and soil water availability were determined. The model was validated with data from three experiments conducted in 2001/2002, 2009/2010 and 2012 under irrigated and rainfed conditions. Using historical climate data from São Carlos (21°57′S, 47°50′W, 860 m), and Votuporanga (20°30′S, 49°59′W, 430 m), both in the state of São Paulo, Brazil, a sensitivity analysis was performed. During the validation, the biomass estimations presented a R2 of 0.92, D index of 0.98, mean error of −8.1 kg ha−1, and RMSE of 360.7 kg ha−1. Based on the sensitivity analysis, the proposed model was effective to estimate the interannual and seasonal Marandu palisade grass productivity variability, as a function of solar radiation, temperature and rainfall fluctuations. Therefore, this model can be used as a tool to improve pasture management.  aUrochloa brizantha  aWater balance  aBalanço Hídrico  aCapim Urochloa  aRadiação Solar  aCapim Marandu1 aSANTOS, P. M.1 aCRUZ, P. G. da1 aBOSI, C.1 aSENTELHAS, P. C.  tField Crops Researchgv. 224, p. 13-21, 2018.