+ Translate

Estimation of genetic values by best linear unbiased prediction procedure

, : Estimation of genetic values by best linear unbiased prediction procedure. Research Bulletin of the Hokkaido Agricultural Experiment Station ( 154): 65-82

This paper discusses the theory, applications and limitations of BLUP procedures using sire and animal models, advantages and disadvantages of single- and multiple-trait analyses, and principles of data transformation.

(PDF 0-2 workdays service)

Accession: 002373240

Submit PDF Full Text: Here

Submit PDF Full Text

No spam - Every submission is manually reviewed

Due to poor quality, we do not accept files from Researchgate

Submitted PDF Full Texts will always be free for everyone
(We only charge for PDFs that we need to acquire)

Select a PDF file:

Related references

Chen, Y.; Pang, Z.; Chang, B., 1988: Estimation of breeding values by Best Linear Unbiased Prediction and the Predicted Difference procedure in overlapping generations of a small Simmental herd. Ten sires with a total of 168 daughters were evaluated for milk yield and body weight by the 2 procedures. The BLUP procedure was used with and without a numerator relationship matrix and a generation (group) matrix, the differences between the 2...

Bauer, A.M.; Reetz, T.C.; Leon, J., 2006: Estimation of breeding values of inbred lines using best linear unbiased prediction (BLUP) and genetic similarities. Effective selection of parental material is an essential requirement for breeding success. Best linear unbiased prediction (BLUP) allows integration of all available information including pedigree information. However, for breeding self-pollinati...

Huang, H.; Harding, J.; Byrne, T.; Famula, T., 1995: Estimation of long-term genetic improvement for gerbera using the best linear unbiased prediction (BLUP) procedure. Long-term genetic improvement is measured by the selection response predicted from estimates of narrow-sense heritability. Accurate estimates of selection response require partitioning the change of population mean into genetic and environmental c...

Xiang, B.; Li, B., 2003: Best linear unbiased prediction of clonal breeding values and genetic values from full-sib mating designs. Full-sib progeny tests with clonal replicates may provide better breeding value estimates and the greatest genetic gain in a tree improvement program. Clonal breeding values (CBV) that combine the family and within-family breeding values due to ad...

Resende, M.D.V. de; Prates, D.F.; Yamada, C.K.; Jesus, A. de, 1996: Variance component estimation and prediction of breeding values by the restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP) methods in Pinus. Three procedures of variance component estimation for predicting breeding values were compared using published data on Pinus maximinoi from a CAMCORE provenance/progeny test [in Brazil]: least square (LS), maximum likelihood (ML), and restricted m...

Gabriel, Hans-Werner, 1988: Studies on the use of the best linear unbiased prediction method in the estimation of breeding values of bulls and cows in Schleswig-Holstein

Ober, U.; Erbe, M.; Long, N.; Porcu, E.; Schlather, M.; Simianer, H., 2012: Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data. Genomic data provide a valuable source of information for modeling covariance structures, allowing a more accurate prediction of total genetic values (GVs). We apply the kriging concept, originally developed in the geostatistical context for predi...

Clark, S.A.; van der Werf, J., 2014: Genomic best linear unbiased prediction (gBLUP) for the estimation of genomic breeding values. Genomic best linear unbiased prediction (gBLUP) is a method that utilizes genomic relationships to estimate the genetic merit of an individual. For this purpose, a genomic relationship matrix is used, estimated from DNA marker information. The mat...

Mcclintock, A.;, 1982: Developments in the use of BLUP Best Linear Unbiased Prediction for estimation of genetic merit in livestock, animal genetics, model

Weller, J.I.; Norman, H.D.; Wiggans, G.R., 1985: Estimation of variance of prediction error for Best Linear Unbiased Prediction models with relationships included. For mixed models, computation of repeatabilities and confidence intervals requires knowledge of the variance of prediction error of sire evaluations. Although variance of prediction error can be computed by inverting the coefficient matrix, the co...