内容文稿成果

k(i)

jk(i)i

Y

是依变量，是样本的均值，variety的效应，是cultivations的效应 k(i)是leaf(varity的效应，ijvariety,cultivations两因素互作的效应jk(i)是cultivations,leaf(varity)两因素互作的效应，ijkm是机误

1

1)1)其中i,j,k,m均为DataInputvariety$fei$leaf$Nicotine@@;121111252110119201101142011022020210216202;PROCClassvarietyfeiMODELNicotine=varietyfeileaf(variety)variety*feifei*leaf(variety);Randomleaf(variety)fei*leaf(variety)/test;Meansvariety/Tukey;Meansfei/Tukey;PROCClassvarietyfeiMODELNicotine=Randomleaf(variety)fei*leaf(variety)/SOLUTION;LsMeansvariety/ADJUST=Tukey;LsMeansfei/ADJUST=Tukey;（1）factorial

i

DataInputVariety$Density$BlockYield@@;A1B118A1B127A1B13A1B218A1B227A1B23A1B318A1B326A1B33A2B119A2B127A2B13A2B219A2B229A2B23A2B318A2B326A2B33;PROCGLMdata=Rice;ClassVarietyDensityBlock;MODELYield=VarietyDensityVariety*DensityBlock;RandomDensityVariety*DensityBlock/test;TestH=VarietyE=Variety*LSMeansVariety/STDERRPDIFFE=Variety*Density;PROCMIXEDdata=Ricemethod=type3;ClassVarietyDensityBlock;MODELYield=RandomDensityVariety*DensityLSMeansVariety/ADJUST=TUKEY;SASP值，保留显著性的因素，去除不显著的，得到回归方DataPeople;Inputsex$x1x2y@@;male543male50.52.25male512.5male56.53.5male523female543female532.25female51.52.5female513female513;PROCClassMODELy=LsMeanssex/STDERRPDIFFAdjust=Tukey;PROCclassMODELy=sexx1LsMeanssex/STDERRPDIFFAdjust=Tukey;(3)SASR20.91，P0.00140.05，线性关系很显著。QTL1、3、512、13、24QTL13一个QTL只有加性效应，而另一个既有加性效应，又有加性与环境互作1-2cm，位。环境一下，分子标记23、25之间的效应显著，说明QTL在这两对分子标记之间；环