01774nam a2200253 a 450000100080000000500110000800800410001910000160006024501190007626001300019530000190032550000230034452009380036765000200130565000240132565000330134965000220138265000100140465000230141465300220143765300250145970000150148470000210149919728792020-01-08       2013    bl uuuu     u00u1 u    #d1 aVILAMIU, R.  aA network based model for the spread of mollicutes by Dalbulus maidis on maize crop fields.h[electronic resource]  aIn: EFITA-WCCA-CIGR CONFERENCE, 2013, Torino, Italy. Sustainable agriculture through ICT innovation. [S.l.: s.n. 2013].c2013  aNão paginado.  aEfita 2013. C0053.  aABSTRACT. Several diseases have affected the maize crop productivity, among them standing out Corn Stunt Spiroplasma (CSS) and Maize Bushy Stunt Phytoplasma (MBSP), which are respectively caused by Spiroplasma kunkelii and by phytoplasma. In Brazil the mollicutes are transmitted to maize plants by the leafhopper Dalbulus maidis which has a remarkable ability to travel long distances if the local climatic conditions are not favourable, e.g., low temperature or high pluviometric precipitation. This work presents a spatial-time deterministic model for analysing the dynamics of the pathosystem ?mollicutes ? leafhopper ? maize? considering a macro region formed by several maize crop fields. From the simulated scenarios we imply that the prediction of the incidence of mollicutes in a maize crop field is only possible when all the other maize crop fields within the travel distance of the leafhopper is taken into consideration.  aDalbulus maidis  aMathematical models  aPlant diseases and disorders  aDoença de planta  aMilho  aModelo matemático  aDoenças do milho  aModelos matemáticos1 aTERNES, S.1 aSABATO, E. de O.