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    Author(s): T.Z. Ye; K.J.S. Jayawickrama; G.R. Johnson
    Date: 2004
    Source: In: 2004 IUFRO Forest Genetics Meeting Proceedings
    Publication Series: Scientific Journal (JRNL)
    PDF: Download Publication  (210 KB)


    BLUP (Best linear unbiased prediction) method has been widely used in forest tree improvement programs. Since one of the properties of BLUP is that related individuals contribute to the predictions of each other, it seems logical that integrating data from all generations and from all populations would improve both the precision and accuracy in predicting genetic values by increasing the effective number of observations on each genotype (White and Hodge 1989; Kerr et al. 2004). However, some studies based on computer simulation (e.g. Johnson 1998) and field data (e.g. Panter and Allen 1995) showed that including historical parental information actually did little to increase the efficiency of estimating breeding values under some circumstances.

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    Ye, T.Z.; Jayawickrama, K.J.S.; Johnson, G.R. 2004. Efficiency of using first-generation information during second-generation selection: results of computer simulation. In: 2004 IUFRO Forest Genetics Meeting Proceedings

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