Monitoring of brown stink bug (Hemiptera: Pentatomidae) population dynamics in corn to predict its abundanee using weather data

(整期优先)网络出版时间:2019-03-13
/ 1
Thebrownstinkbug(BSB),Euschistusservus(Say)(Hemiptera:Pentatomidae),isaseriouseconomicpestofcornproductioninthesoutheasternUnitedStates.TheBSBpopulationdynamicswasmonitoredfor17weeksfromtasselingtopreharvestofcornplants(i.e.,lateMaytomid-September)usingpheromonetrapsinthreecornfieldsfrom2005to2009.ThetrapdatashowedtwopeaksinearlyJuneandmid-August,respectively.Therelationshipbetweentrapcatchandpregrowingseasonweatherdatawasexaminedusingcorrelationandstepwisemultiplefactorregressionanalyses.Weatherindicesusedfortheanalyseswereaccumulatedgrowingdegreeday(AGDD),numberofdayswithminimumtemperaturebelow0℃(Subz),accumulateddailymaximum(AMaxT)andminimumtemperatures(AMinT)andrainfall(ARain).Theweatherindiceswerecalculatedwithlower(10℃)andupper(35℃)asbiologicalthresholds.Theparametersusedinregressionanalysiswereseasonalabundance(oroverallmeanofBSBadultcatch)(BSBm),numberofBSBadultscaughtatapeak(PeakBSB),andpeakweek(Peakwk).TheBSBmwasnegativelyrelatedtohightemperature(AmaxTorAGDD)consistently,whereasIstPeakBSBwaspositivelycorrelatedtobothARainandSubz,irrespectiveofweatherdatadurations(thefirst4,4.5,and5months).Incontrast,the7-monthweatherdata(AGDD7)werenegativelycorrelatedtotheBSBmonly,butnotcorrelatedtothesecondPeakBSB.The5-yearmonitoringstudydemonstratedthatweatherdatacanbeusedtopredicttheBSBabundanceatitsfirstpeakintasselingcornfieldsinthesoutheasternU.S.states.