玉米虚拟模型GREENLABMAIZE的构建与评估

玉米虚拟模型GREENLABMAIZE的构建与评估

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时间:2019-05-15

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1、中国农业大学博士学位论文玉米虚拟模型GREENLAB-Maize的构建与评估姓名:马韫韬申请学位级别:博士专业:土壤学指导教师:李保国;郭焱20061101AbstraetFunctional-structuralplantgrowthmodelsCallconsmlcttheplantarchitecturethroughsimulatingtheorganogenesis,biomassproductionandbiomasspartitioningtodifferentorgans.andthusaI℃importantforin-dep

2、thstudyoftheplantgrowthrulesandeultivaroptimization.A邓嘲施cmodelofGREENLAB-Maizew私dcwlopedbased011GREENLABtheory.Wesystemlatieallyevaluatedthestabilityofmodelparametervaluesandvalidityofthesimulationresultsusingpluri-annualandpluri-locationfieldtrialstakingbothfieldheterogenei

3、tyandenvironmentalconditionsvariability.AlibraryofsymbolfilesofmaizeorganswaseonsmaetedanddynamicchangesofmaizeplantlcaTeswel'e柚alyzedinordertoaccuratelysimulatingindividualmaizeplantandstandgrowth.Themajorcontentsmill5follows:(1)Multi-fittingtechniqueusingseveraltargetfiles

4、describingplantsarchitectureandbiomasspartitioningatdifferentgrowthstagesandsinglefittingtechniqueusingonlyo∞targetfiledescribingplantarchitectureandorganweightatfinalstageWCl'ecompared.Theresultsshowedthatmulti-fittingtechniquegavebetterparameteraccuracythansinglefitting,an

5、dpermittedextractinggeneric01.aganexpansionk/neliesfromthestaticobservations.Thus,usingmulti—ratherthansingle矗劬呜w鹳recommendedtoaee,ratelycha“K自妇hiddenparameters.(2)Adeepenedanalysisofoptimizedparametervariabilityamongyears。plantingdensitytrea缸rlents。repetitionsandgrowthstage

6、swascarriedoutinthecaseofonemaizegenotypeeroppcdinVaZiOUSenvironmental,nonlimitingconditions.Astatisticalanalysisshowedthat,despiteof13.hi曲variabilityinplantbiomassanditspartitioningamongorgansbd嘀,黜experiments(withlowvariabilityamongrepetitions),parametervaluesoptimizedsepar

7、atelyforeachexperiment.repetitionandgrowthstageswerenotsi舯Jfieantlydifferent.Butvaluesofparameterrl,,2andPcvariedbetwⅫdifferentplantingdensitytreatments.whileothersⅥ,e”stable.(3)Multi-fittingwithsparsedataset(inel,ding3growthstagesofwhichthefirsttwo锄sparsedataandthelastOneis

8、completedata)wasusedtoevaluatetheeffectofsuchsimplificationsonparameteropti

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