Results 1 to 10 of about 179,787 (326)

Marker assisted selection using best linear unbiased prediction [PDF]

Genetics Selection Evolution, 1989
Best linear unbiased prediction (BLUP) is applied to a mixed linear model with additive effects for alleles at a market quantitative trait locus (MQTL) and additive effects for alleles at the remaining quantitative trait loci (QTL). A recursive algorithm
Grossman M, Fernando RL
doaj   +13 more sources

Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction [PDF]

Frontiers in Genetics, 2018
A widely used method for prediction of complex traits in animal and plant breeding is “genomic best linear unbiased prediction” (GBLUP). In a quantitative genetics setting, BLUP is a linear regression of phenotypes on a pedigree or on a genomic ...
Daniel Gianola, Daniel Gianola, Daniel Gianola, Daniel Gianola, Daniel Gianola, Alessio Cecchinato, Hugo Naya, Chris-Carolin Schön   +7 more
doaj   +7 more sources

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction [PDF]

Journal of Animal Science and Biotechnology, 2017
Background A random multiple-regression model that simultaneously fit all allele substitution effects for additive markers or haplotypes as uncorrelated random effects was proposed for Best Linear Unbiased Prediction, using whole-genome data.
Hao Cheng, Dorian J. Garrick, Rohan L. Fernando   +2 more
doaj   +5 more sources

Multitrait genome-wide association best linear unbiased prediction of genetic values [PDF]

Genetics Selection Evolution
Background The GWABLUP (Genome-Wide Association based Best Linear Unbiased Prediction) approach used GWA analysis results to differentially weigh the SNPs in genomic prediction, and was found to improve the reliabilities of genomic predictions.
Theo Meuwissen, Vinzent Boerner
doaj   +5 more sources

Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data. [PDF]

Genetics, 2011
AbstractGenomic 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 predictions in the low-dimensional space, to the high-dimensional space spanned by genomic single ...
Ober U, Erbe M, Long N, Porcu E, Schlather M, Simianer H.   +5 more
europepmc   +12 more sources

GWABLUP: genome-wide association assisted best linear unbiased prediction of genetic values [PDF]

Genetics Selection Evolution
Background Since the very beginning of genomic selection, researchers investigated methods that improved upon SNP-BLUP (single nucleotide polymorphism best linear unbiased prediction).
Theo Meuwissen, Leiv Sigbjorn Eikje, Arne B. Gjuvsland   +2 more
doaj   +3 more sources

The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study [PDF]

Genomics & Informatics, 2014
Best linear unbiased prediction (BLUP) has been used to estimate the fixed effects and random effects of complex traits. Traditionally, genomic relationship matrix-based (GRM) and random marker-based BLUP analyses are prevalent to estimate the genetic ...
Young-Sup Lee, Hyeon-Jeong Kim, Seoae Cho, Heebal Kim   +3 more
doaj   +4 more sources

Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle. [PDF]

Genes (Basel), 2019
The genomic best linear unbiased prediction (GBLUP) method has been widely used in routine genomic evaluation as it assumes a common variance for all single nucleotide polymorphism (SNP).
Lopez BI, Lee SH, Park JE, Shin DH, Oh JD, de Las Heras-Saldana S, van der Werf J, Chai HH, Park W, Lim D.   +9 more
europepmc   +5 more sources

Genomic selection through single-step genomic best linear unbiased prediction improves the accuracy of evaluation in Hanwoo cattle. [PDF]

Asian-Australas J Anim Sci, 2020
Objective Genomic selection (GS) is becoming popular in animals’ genetic development. We, therefore, investigated the single-step genomic best linear unbiased prediction (ssGBLUP) as tool for GS, and compared its efficacy with the traditional pedigree ...
Park MN, Alam M, Kim S, Park B, Lee SH, Lee SS.   +5 more
europepmc   +4 more sources

Predicting hybrid performance in rice using genomic best linear unbiased prediction. [PDF]

Proc Natl Acad Sci U S A, 2014
SignificanceGenomic prediction is a new field of quantitative genetics. Individual performance can be predicted using genome-wide markers before the phenotype is measured. Genomic prediction for hybrid performance is even more promising because genotype of a hybrid is predetermined by the parents. We propose a genomic best linear unbiased prediction to
Xu S, Zhu D, Zhang Q.
europepmc   +5 more sources