玉米籽粒容重与产量和品质的相关分析

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2007,40(2):405-411ScientiaAgriculturaSinica2005-10-192006-10-192006CB1017002004BA520A081981-E-maillilizhang324@163.com1953-Tel:0538-8245838Fax0538-8245838E-mailstdong@sdau.edu.cn1/2710182251000CorrelationAnalysisonMaizeTestWeight,YieldandQualityZHANGLi1,DONGShu-ting1,LIUCun-hui2,WANGKong-jun1,ZHANGJi-wang1,LIUPeng1(1KeyLaboratoryofCropBiologyofShandongProvince/DepartmentofAgronomy,ShandongAgriculturalUniversity,Tai’an271018;2ShandongProvinceSeedCompany,Jinan251000)Abstract:ObjectiveThedifferenceoftestweightbetweendifferenthybridsinmaizewasdiscussed.Thecorrelationbetweentestweightwithyieldandqualitywasalsoanalyzed.MethodClusteringanalysis,correlationanalysisandpassanalysiswereused.ResultTwenty-ninesummermaizehybridsreleasedforcommercialproductioninShandongprovinceweredividedintothreetypes:high-testweight(H-TW),medium-testweighttype(M-TW)andlow-testweighttype(L-TW).Bothsourcesofvariationsofgenotypesandexperimentlocationsweresignificant.Kerneltypewasthefirstimportantfactortodeterminethetestweight,andthedifferenceoftestweightbetweenkerneltypeswassignificant.ThevaluewasorderedasPopcornFlintDent.Theeffectsofnitrogenrateontestweightofmaizekernelswerenotsignificant.Thecorrelationanalysisindicatedthatthetestweightofkerneltypeswassignificantlyandpositivelycorrelatedwithkernelweightandyield.Therewasanegativecorrelationbetweentestweightandgrossfatcontents.Testweightwascorrelatedpositivelyandsignificantlywithproteinandstarchcontentsrespectively.Thepassanalysisalsoindicatedthatlysinecontentswereconstraintfactorfortestweight,becauseofitslowestdecisioncoefficient(R(3)2=-0.05%),andthelysinecontentsespeciallyreducedtheproteincontents.ConclusionTherefore,itismoreimportanttoimprovetestweightwithaneyetotheincreasingofstarchcontentsonaccountofthelessconstrainteffectoflysinetostarchcontents.Keywords:Maize(ZeamaysL.);Nitrogenfertilizer;Yield;Quality;NutritioncomponentsWTO[1,2]406401959Rumbaugh[3]Pixley[4][5][6][7][8,9][10][11][4,6,8,9,12,13]20042004820041810108110811441POPL63100m260cm10852500·ha-14N0N1225kgN·ha-1N2450kgN·ha-1N3675kgN·ha-140%60%7.5m260000·ha-115GHCS—100040mmGB1353—1999AMicrosoftExcel2000DPS229574800g·L-1TW31H-TWLN11297317115745g·L-12M-TW252151622720745g·L-13L-TWW99175Q210172329720g·L-1CVCVQ21014.25%X1132X9.62%M-TWL-TW4%10%H-TW2%6%2%8.5%S=17.54CV=2.31%8.02%24073H-TWL-TW4g·L-1Table1Testweightandvariationcoefficientof29genotypesofmaizeover7locationsofShandongProvincein2004No.GenotypeDZJNYTBZTAJNLYMeanStandarddeviationCV(%)1LN1LN1733772775737.4780778.3762.6219.592.57212ZD12755776772745.0800779.2771.217.642.2939731M9731741773681765731.8780772.5749.1934.954.674601JH601742763654758744.6795762.2745.5443.935.8957WY7732786689752759.9800772.6755.9336.994.8965TH5724759675729738.9780744.9735.8332.834.4679JY9715760729742.6760745.7742.0516.122.1782XX2712781601739720.4795758.3729.5364.248.8195XX5725763626729712.4790727.2724.6651.077.05102ZB2711768620722737.2775700.8719.1451.767.2011LD8009LD8009706769599746756.4780723.1725.6461.418.461297-19LY97-19702763602744742.2760731.1720.6156.17.7913X1150TX1150T720748652759744.3790747.7737.29435.8314LD6018LD6018719763675765742.6780759.6743.4635.894.8315DH6102DH6102718774645746768.1785761.5742.5148.196.491612AY12730761644755770.0785765.2744.3147.286.3517604JH604721771597748757.4795758.7735.4465.028.841899118LZ99118716762605756749.0795760.7734.8161.768.41193XX3722782606769741.0800760.074064.48.7020X1132XX1132X735756574755745.0780764.9729.9970.249.622122XD22722770607748765.9745754.3730.3156.67.75228AY8739784626767774.6750749.7741.4753.297.1923W9917W9917687733619715722.3785712.5710.5450.247.07245PD5676733652708717.4750691.7704.0133.644.7825Q2101Q2101671757672722707.6720715.9709.3630.154.252610TT10676725625725706.3775754.9712.4650.077.0327108ND108714748615746718.2760748.2721.3449.846.912860DD60641734575685685.1710687.8673.9951.997.71298JD8676720587707718.0700714.0688.8647.346.87Mean713.14760.48641.34742.62737.99772.41744.94Standarddeviation25.4417.5451.4522.0821.3926.5625.61CV%3.572.318.022.972.903.453.44Table2ANOVAoftestweightof29genotypesat7locationsofShandongProvincein2004SourceofvariationSSdfMSVarianceFcritF0.01Variety84309.94283011.076.22**1.84Area328221.90654703.66113.09**2.91Error81263.95168483.71Totalvariation493795.8202**0.01**Expresssignificanceat0.01level408404108111POPL8N0N1N2N3N1N2N3455df=15r0.05=0.482r0.01=0.606Y174.936+19.915X1+9.527X4F=8.628P0.01Durbin-Watsond=1.202,6X1X2X3X40.30810.03030.01640.5720x2x1y=0.1343X4b4*=0.5720R42=51.7%R42=68.52%X1b1*=0.3081R12=32.84%R12=49.17%R320.05%Table3Theinfluenceoffertilizerrateontestweightof6maizegenotypesinTai’an,Shandong,2004Treatment108ND10811TY114YD44FY41BL1P0P1N0693.44Ee705.56Ee742.67Dd796.89Cc831.0Aab824.67AabN1692.00Ee704.00Ee758.56Dd798.89BCc827.0Aab820.0AabN2705.44Ee708.33Ee759.78Dd796.89Cc833.33Aab823.67AabN3701.56Ee703.11Ee760.11Dd792.67Cc840.0Aa820.50AabTable4PearsoncorrelationsbetweentestweightandyieldandyieldcomponentsofmaizeCorrelationcoefficientEarlengthEardiameterRownumberKernelsperrowBaretiplengthWeightof1000-kernelGrainyie

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