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ID:36790161
大小:2.48 MB
页数:81页
时间:2019-05-15
《玉米虚拟模型GREENLABMAIZE的构建与评估》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
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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