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*To*: asreml@chiswick.anprod.csiro.au*Subject*: Correlations in bivariate models and other things*From*: "C. Balde" <cbalden@entelchile.net>*Date*: Wed, 02 Feb 2000 22:10:18 -0400*Sender*: asreml-owner@lamb.chiswick.anprod.csiro.au

As my graduate Thesys I'm evaluating a provenance-progeny test of Eucalyptus globulus. I'm using the animal model (individual tree model) to obtain the genetic values for every tree in the trial (actually two trials). The command file is the following: Prueba de evaluacion de ensayos de E globulus de Mel-Mel arbol !P # tree familia 199 # family (i.e. dam, cause thee families are half-sib families) localidad 2 # site bloque 5 # blocks procedencia 26 # provenance altura # height dap # diameter pedigree.txt !alpha !make datosmm.txt !skip 1 altura dap ~ mu !r arbol bloque procedencia bloque.procedencia bloque.familia !ASUV # without this specifications the I get prolems Although I want to calculate the heritability for every variable (height and diameter) and the genetic (additive) correlations between height and diameter. The .pin file is as follows: F varfen 2 + 3 + 4 + 5 + 6 F vargen 1 * 0.35 H h2 8 7 My questions are: 1. How can I calculate two heritabilities (one for each trait) ? 2. How can I calculate the correlation between height and diameter using "R label a ab b" ? 3. In Eucalyptus sp., there is about 20% selfing (with a relationship ratio of 0.35). So for calculating the additive variance (in half-sib families) you have to multiply the family variance by 2,86 and not by 4. But in the animal model model you get the additive variance direct from the model. However it must be correct, having in mind the 20% selfing. How can I do that ? I'll be gratefull if you can help me. Hermann Balde cbalden@entelchile.net Facultad de Ciencias Forestales Universidad de Chile Santiago - Chile -- Asreml mailinglist archive: http://www.chiswick.anprod.csiro.au/lists/asreml

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