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 +3 more
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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.
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Initial evaluation of half-sib progenies of Norway spruce using the best linear unbiased prediction [PDF]
Journal of Forest Science, 2007 The present paper deals with data obtained from fifteen years old Norway spruce (Picea abies [L.] Karst.) progeny test established at three sites in the Sázava River region.
J. Klápště, M. Lstibůrek, J. Kobliha
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Detecting effective starting point of genomic selection by divergent trends from best linear unbiased prediction and single-step genomic best linear unbiased prediction in pigs, beef cattle, and broilers. [PDF]
J Anim Sci, 2021 Genomic selection has been adopted nationally and internationally in different livestock and plant species. However, understanding whether genomic selection has been effective or not is an essential question for both industry and academia.
Abdollahi-Arpanahi R +2 more
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Evaluation of Genome-Enabled Prediction for Carcass Primal Cut Yields Using Single-Step Genomic Best Linear Unbiased Prediction in Hanwoo Cattle. [PDF]
Genes (Basel), 2021 There is a growing interest worldwide in genetically selecting high-value cut carcass weights, which allows for increased profitability in the beef cattle industry.
Naserkheil M, Mehrban H, Lee D, Park MN.
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PLoS ONE, 2010 BackgroundWith the availability of high density whole-genome single nucleotide polymorphism chips, genomic selection has become a promising method to estimate genetic merit with potentially high accuracy for animal, plant and aquaculture species of ...
Zhe Zhang +5 more
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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 +9 more
europepmc +2 more sources
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding. [PDF]
G3 (Bethesda), 2019 Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes.
Montesinos-López OA +7 more
europepmc +2 more sources
Accuracy of genomic evaluation with weighted single-step genomic best linear unbiased prediction for milk production traits, udder type traits, and somatic cell scores in French dairy goats. [PDF]
Journal of Dairy Science, 2019 Genomic evaluation of French dairy goats is routinely conducted using the single-step genomic BLUP (ssGBLUP) method. This method has the advantage of simultaneously using all phenotypes, pedigrees, and genotypes.
M. Teissier +2 more
semanticscholar +2 more sources
Correction: Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle. Genes 2019, 10, 1019. [PDF]
Genes (Basel), 2020 The authors wish to make the following corrections to this paper [...].
Lopez BI +9 more
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