A distributed delay routine-based simulation model of Beauveria bassiana conidial stability in response to environmental stressors

Using published data and equations on therelationship between spore longevity of theentomopathogenic hyphomycetes, Metarhiziumanisopliae var. acridum and Beauveria bassiana (Balsamo) Vuillemin(Deuteromycota: Hyphomycetes) and temperatureand moisture content, a model of sporeviability was constructed based on adistributed-delay routine. The model ismodified via average spore survival time or byincluding an additional attrition (mortality)rate. The model was parameterized usingpublished values from studies on M. a.var. acridum spores, and output comparedfavorably with germination data and with apreviously-developed model. After initializingthe model using parameter estimates of B.bassiana spores from the laboratory andpublished data on changes in (1) spore viabilitywith respect to temperature and moisturecontent, and (2) spore moisture content withrespect to temperature and relative humidity,the model was run using daily min/maxtemperature and relative humidity data andcompared with data from four field experimentsof Mycotech B. bassiana isolate GHAsprayed on canteloupe plants. For two of theexperiments, observed viability trends werecompared to model outputs using weather datafrom both a weather station and fromwithin-canopy temperature and humidity probes. Output using weather station data fitobservations much better than output usingwithin-canopy probe data. For the tworemaining sets of field data, both earlier inthe season, only weather station data wereavailable and the resulting output fitobservations poorly. An attrition rate of 98%was needed to fit output to field data early inthe growing season, and a rate of 74% wasneeded for data collected four weeks later. These attrition rates can be consideredestimates for the proportion of spores dyingfor reasons other than temperature and relativehumidity, and they were attributed largely toUVB radiation due to the more open canopyearlier in the season.