智慧农业(中英文)SmartAgricultureVol.3,No.1 28 opingseeds[J].PlantMethods,2015,11(1):1-10.区域的获取[J].齐齐哈尔大学学报,2007(4):49-52. [24]GUELPAA,DUPLESSISA,KIDDM,etal.Non-de‐ZHANGG,FENGY,LUW.Imageprocessinggray‐ structiveestimationofmaize(ZeamaysL.)kernelscaleandfeatureregionacquisition[J].JournalofQiqi‐ hardnessbymeansofanX-raymicro-computedto‐harUniversity,2007(4):49-52. mography(μCT)densitycalibration[J].FoodandBio‐[28]GUSTINJL,JACKSONS,WILLIAMSC,etal.Anal‐ processTechnology,2015,8(7):1419-1429.ysisofmaize(Zeamays)kerneldensityandvolumeus‐ [25]GUELPAA,DUPLESSISA,MANLEYM.Ahigh-ingmicrocomputedtomographyandsingle-kernelnear- throughputX-raymicro-computedtomography(μCT)infraredspectroscopy[J].JournalofAgriculturaland approachformeasuringsinglekernelmaize(ZeamaysFoodChemistry,2013,61(46):10872-10880. L.)volumesanddensities[J].JournalofCerealSci‐[29]王义发,汪黎明,沈雪芳,等.糯玉米的起源、分类、 ence,2016,69:321-328.品种改良及产业发展[J].湖南农业大学学报(自然科 [26]SHAOM,ZHANGY,DUJ,etal.Fastanalysisof学版),2007(S1):97-102. maizekernelplumpnesscharacteristicsthroughMicro-WANGY,WANGL,SHENX.etal.Orlginclassifica‐ CTtechnology[C]//InternationalConferenceonCom‐tion,varietyimprovementandindustrydevelopmentof puterandComputingTechnologiesinAgriculture.Ber‐waxycorn[J].JournalofHunanAgriculturalUniversity lin,Germany:Springer,Cham,2017:31-39.(NaturalSciences),2007(S1):97-102. [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 (登陆www.smartag.net.cn免费获取电子版全文) |
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