02042naa a2200301 a 450000100080000000500110000800800410001902400520006010000240011224500650013626000090020152011030021065000170131365000100133065300230134065300200136365300190138365300360140265300190143865300460145770000140150370000160151770000140153370000180154770000170156570000190158277301390160121195022020-01-29       2019    bl uuuu     u00u1 u    #d7 ahttp://dx.doi.org/10.19103/AS.2019.0061.072DOI1 aFERNANDES, J. M. C.  aImproving crop pest/disease modeling.h[electronic resource]  c2019  aOne of the biggest accomplishments in human history has been the domestication of plants, providing a more continuous food supply and promoting the conformation of sedentary agricultural groups (Pérez-Jaramillo et al., 2016). However, since the early days of crop domestication, growers have been plagued by multitudes of pests and diseases causing hunger and social upheaval. Zadoks (2017) discussed selected historical pest and disease outbreaks in the Old World in view of their social and political consequences. The challenge persists up to present. It is estimated that crop pests and diseases are responsible for direct yield losses ranging between 20% and 40% of global agricultural productivity and regularly menace global food security (Savary et al., 2019). However, crop losses remain poorly recognized as an important driver in matters of food security, whereas plant diseases have had an enormous impact on livelihoods throughout human history (Zadocks, 2017). Crop pests and diseases impact individual farms, local commerce, national and international trade, and the global economy.  aInsect pests  aPests  aCrop domestication  aCROPGRO-soybean  aDisease damage  aMessage Passing Interface (MPI)  aModel coupling  aThe pest and disease damage module (PEST)1 aPAVAN, W.1 aPEQUENO, D.1 aWIEST, R.1 aHOLBIG, C. A.1 aOLIVEIRA, F.1 aHOOGENBOOM, G.  tIn: BOOTE, K. (Ed.). Advances in crop modelling for a sustainable agriculture. Cambridge, UK: Burleigh Dodds Science Publishing, 2019.