Efficient Methods to Compute Genomic Predictions
Citations
5,867 citations
1,583 citations
Cites background or methods from "Efficient Methods to Compute Genomi..."
...When the kinship matrix is not provided, it will be calculated with the methods of VanRaden (VanRaden, 2008), Loiselle (Loiselle et al., 1995) or EMMA (Kang et al., 2008)....
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...Received on April 11, 2012; revised on July 3, 2012; accepted on July 8, 2012...
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1,232 citations
1,166 citations
Cites background or methods from "Efficient Methods to Compute Genomi..."
...Equations of VanRaden (2008) allowed distinction between known and missing genotypes, but the alternative of regressing on probabilities for all genotypes could increase accuracy and should be examined....
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...Predictions were computed using linear and nonlinear genomic models (VanRaden, 2007, 2008)....
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...Gains in R(2) averaged 3% with simulated data (VanRaden, 2008) but generally were smaller with real data, which indicated that most...
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...Gains in R2 averaged 3% with simulated data (VanRaden, 2008) but generally were smaller with real data, which indicated that most Journal of Dairy Science Vol. 92 No. 1, 2009 traits are influenced by more loci than the 100 QTL used in simulation....
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1,095 citations
Cites background or methods from "Efficient Methods to Compute Genomi..."
...Genomic evaluations are currently calculated with a multiple-step procedure (VanRaden, 2008; Hayes et al., 2009)....
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...To facilitate inversion, final analyses used a weighted G as proposed by VanRaden (2008): G = 0.95Gb + 0.05A22....
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...(VanRaden, 2008), which assumes a priori independence of SNP effects (Gianola et al....
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...The scaling parameter k was defined as k p pj j= ∑ −2 1( ) (VanRaden, 2008), which assumes a priori independence of SNP effects (Gianola et al., 2009)....
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...For example, estimation of genomic effects has several options (Meuwissen et al., 2001; Gianola et al., 2006; VanRaden, 2008; de los Campos et al., 2009)....
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References
6,036 citations
"Efficient Methods to Compute Genomi..." refers background or methods in this paper
...costs from quadratic with number of markers (Meuwissen et al., 2001) to linear....
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...Genomic selection increases the rate of genetic improvement and reduces cost of progeny testing by allowing breeders to preselect animals that inherited chromosome segments of greater merit (Meuwissen et al., 2001; Schaeffer, 2006)....
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...Nonlinear predictions A and B are analogous but not identical to Bayesian A and B methods of Meuwissen et al. (2001), and other prior distributions could fit actual data better....
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...Genomic selection increases the rate of genetic improvement and reduces cost of progeny testing by allowing breeders to preselect animals that inherited chromosome segments of greater merit (Meuwissen et al., 2001; Schaeffer, 2006)....
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...That procedure reduced computing Journal of Dairy Science Vol. 91 No. 11, 2008 costs from quadratic with number of markers (Meuwissen et al., 2001) to linear....
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1,928 citations
785 citations
"Efficient Methods to Compute Genomi..." refers background in this paper
...Genomic selection increases the rate of genetic improvement and reduces cost of progeny testing by allowing breeders to preselect animals that inherited chromosome segments of greater merit (Meuwissen et al., 2001; Schaeffer, 2006)....
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...Genomic selection increases the rate of genetic improvement and reduces cost of progeny testing by allowing breeders to preselect animals that inherited chromosome segments of greater merit (Meuwissen et al., 2001; Schaeffer, 2006)....
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403 citations
"Efficient Methods to Compute Genomi..." refers methods in this paper
...When DYD was the dependent variable, regressions were weighted by reliability from daughters, which was computed as total daughter equivalents minus daughter equivalents from parent average (VanRaden and Wiggans, 1991)....
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381 citations