Biometrics by vz9r6i

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									Optimal number of test sites and plants                                                  Dag Lindgren Last edit 2001-04-10
This worksheet heads at finding optimal number of sites and plants for breeding
        Color codes are Input        Results Cost estimates              Q estimates
       Entry & other units Example 1 Example 2 Litterature General about EXCEL sheets on Dag Lindgrens web sites
                                                                         Acknowledgements


                  V(ge)=           5 Variance component for entry*site interaction
                 V(w)=           100 Variance component between untits within entry and site ("within")
         Q=V(w)/V(ge)=             20
                                                                                                             V (w )
                    A=             6 Marginal cost for an additional experimental site             Q =
          K=sqrt(QA)=           11.0 Optimal number of plants per site and entry                             V ( ge )
        Choose option!              0 Option: Number of plants given
                                                                                                   K =           QA
                    M=           37 plants should be planted
          nopt=M/sqrt(QA)=       3.4 Optimal number of test sites                                      M
                    V(g)=          10 Variance component for among entries           n opt =
                    ropt=       0.840 Test efficiency                                                  QA
                                        n=number of sites

                                       1                                                   C
                                                                       n opt =
              ropt =
                             1+
                                V ( ge ) + V ( w) / K                                (
                                                                                  A 1 + QA            )
                                    V ( g ) * nopt
Dag Lindgren Last edit 2001-04-10




                    V (w )
          Q =
                    V ( ge )
          K =           QA

              M
opt   =
               QA

								
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