01923naa a2200217 a 450000100080000000500110000800800410001910000200006024500720008026000090015252013270016165300090148865300110149765300260150865300180153465300170155265300220156970000180159170000220160977300740163110575002011-04-13       2008    bl uuuu     u00u1 u    #d1 aNUNES, J. A. R.  aUsing genealogy to improve selection efficiency of pedigree method.  c2008  aIn the pedigree method of conducting an autogamous population of segregating plants, the genealogy of the progenies is registered. Although labor-intensive, these data are rarely used. One possibility of exploiting this information is to improve selection efficiency using BLUP (Best Linear Unbiased Prediction). In this study BLUP with genealogy inclusion was compared to the mean in the progenies evaluation conducted by the pedigree method. Progenies of crosses of the common bean lines BRS MG Talismã and BRS Valente in F4:6 and F4:7 were used. The 256 F4:6 progenies were sown in February 2005, in southeast of Brazil, in a 16x16 simple lattice design. The grain yield data were subjected to BLUP analysis with inclusion of genealogy. Based on this analysis and the mean, the 30 progenies with best and worst performance were selected. These 60 F4:7 progenies were classified in relation to the origin, i.e., selected by BLUP, mean, or BLUP and mean and coincident results were obtained. In the selection for best performance, the efficiency of BLUP was 2.4% higher than the mean. In the selection for the opposite extreme, BLUP analysis was however not advantageous. The progenies x environments interaction indicates the need for an evaluation of the progenies in different environments before beginning selection.  aBLUP  aFeijao  aGenetica quantitativa  aHerdabilidade  aMelhoramento  aMetodo de selecao1 aMORETO, A. L.1 aRAMALHO, M. A. P.  tScientia Agricola, Piracicabagv. 65, n. 1, p. 25-30, jan./fev. 2008.