Reduced animal model for marker assisted selection using best linear unbiased prediction [PDF]
Genetics Selection Evolution, 1991 International ...
Cantet RJC, Smith C
doaj +7 more sources
Core-dependent changes in genomic predictions using the Algorithm for Proven and Young in single-step genomic best linear unbiased prediction. [PDF]
J Anim Sci, 2020 Single-step genomic best linear unbiased prediction with the Algorithm for Proven and Young (APY) is a popular method for large-scale genomic evaluations.
Misztal I +3 more
europepmc +2 more sources
Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle. [PDF]
BMC Genet, 2020 Background Recently, there has been a growing interest in the genetic improvement of body measurement traits in farm animals. They are widely used as predictors of performance, longevity, and production traits, and it is worthwhile to investigate the ...
Naserkheil M, Lee DH, Mehrban H.
europepmc +2 more sources
Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses. [PDF]
Genet Sel Evol, 2020 Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction.
Liu A +10 more
europepmc +2 more sources
Is it reasonable to use of a kinship matrix for best linear unbiased prediction? [PDF]
Journal of Genetics, 2019 AbstractThe linear mixed model (LMM) is characterized to account for the variance-covariance among entities in a population toward calculating the best linear unbiased prediction (BLUP). Animal and plant breeders widely use the LMM because it is perceived that the a BLUP estimate informs an estimated breeding value (EBV), so to speak a combining ...
Bongsong Kim
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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
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
Prediction of Rates of Inbreeding in Populations Selected on Best Linear Unbiased Prediction of Breeding Value [PDF]
Genetics, 2000 Abstract Predictions for the rate of inbreeding (ΔF) in populations with discrete generations undergoing selection on best linear unbiased prediction (BLUP) of breeding value were developed. Predictions were based on the concept of long-term genetic contributions using a recently established relationship between expected contributions ...
Piter Bijma, John Woolliams
openalex +6 more sources
Best linear unbiased prediction in combination with path analysis in processing grapes [PDF]
Scientia Agricola, 2023 The knowledge of correlations between multiple characteristics in plant breeding leads to more effective selection strategies. The path analysis allows refining these correlations and partitioning them into direct and indirect effects on the main ...
Cinthia Souza Rodrigues +4 more
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D-optimal joint best linear unbiased prediction of order statistics [PDF]
Metrika, 2020 In life-testing experiments, it is often of interest to predict unobserved future failure times based on observed early failure times. A point best linear unbiased predictor (BLUP) has been developed in this context by Kaminsky and Nelson (J Am Stat ...
N. Balakrishnan, Ritwik Bhattacharya
semanticscholar +4 more sources