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基于Micro-CT的玉米籽粒显微表型特征研究
2021-06-02 | 阅:  转:  |  分享 
  
智慧农业(中英文)SmartAgricultureVol.3,No.1
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[27]张桂华,冯艳波,陆卫东.图像处理的灰度化及特征
StudyontheMicro-PhenotypeofDifferentTypesofMaize
KernelsBasedonMicro-CT
1,2,31,21,21,21,2
ZHAOHuan,WANGJinglu,LIAOShengjin,ZHANGYing,LUXianju,
1,21,2
GUOXinyu,ZHAOChunjiang
(1.BeijingResearchCenterforInformationTechnology,Beijing100097,China;2.NationalEngineeringResearch
CenterforInformationTechnologyinAgriculture/BeijingKeyLabofDigitalPlant,Beijing100097,China;
3.CollegeofPlantScience&TechnologyofHuazhongAgriculturalUniversity,Wuhan430070,China)
Abstract:Plantmicro-phenotypemainlyreferstothephenotypicinformationatthetissue,cell,andsubcellularlevels,whichis
animportantpartofplantphenomicsresearch.Inviewoftheproblemsoflowefficiency,largeerror,andfewtraitsoftraditional
methodsfordetectingkernelmicroscopictraits,Micro-CTscanningtechnologywasusedtocarryoutpreciseidentificationof
micro-phenotypeon11varietiesofmaizekernels.Atotalof34microscopictraitswereobtainedbasedonCTsequenceimages
of7tissues,includingseed,embryo,endosperm,cavity,subcutaneouscavity,endospermcavityandembryocavity.Amongthe
34microscopictraits,4traits,includingendospermcavitysurfacearea,kernelvolume,endospermvolumeratioandendosperm
cavityspecificsurfacearea,weresignificantlydifferentamongmaizetypes(P-value<0.05).Thesurfaceareaofendospermcavi‐
tyandkernelvolumeofcommonmaizeweresignificantlyhigherthanthoseofothertypesofmaize.Thespecificsurfacearea
ofendospermcavityofhighoilmaizewasthelargest.Theendospermcavityofsweetcornhadthesmallestspecificsurfacear‐
ea.Theendospermvolumerationofpopcornwasthelargest.Furthermore,34traitswereusedforOne-wayANOVAandcluster
analysis,and11differentmaizevarietiesweredividedintofourcategories,ofwhichthefirstcategorywasmainlycommon
maize,thesecondcategorywasmainlypopcorn,thethirdcategorywassweetcorn,andthefourthcategorywashighoilmaize.
TheresultsindicatedthatMicro-CTscanningtechnologycouldnotonlyachievepreciseidentificationofmicro-phenotypeof
maizekernels,butalsoprovidesupportsforkernelclassificationandvarietydetection,andsoon.
Keywords:plantphenomics;micro-phenotype;Micro-CT;maizekernel;phenotypeidentification
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