Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information.

By Ignacy Misztal, Andrés Legarra, I. Aguilar. Journal of Dairy Science, 2009

549 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d7571e1b946280395d6f17a52741bd332683a16d

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Citations in the corpus

Genomic Relationship Matrix for Correcting Pedigree Errors in Breeding Populations: Impact on Genetic Parameters and Genomic Selection Accuracy (2014, methodology): “Typically in GS prediction models, the BLUP-BVs are deregressed (Garrick et al., 2009) before regressing with the marker data, which is equivalent to single-step methodologies proposed by VanRaden (2008) and Misztal et al. (2009).”
Implementation of genomic selection in the poultry industry (2016, methodology): “…and semi-parametric procedures in a unified framework; the BLUPF90 family (Misztal et al., 2014), which implements the Single Step GBLUP approach (Misztal et al., 2009); DMU (Madsen et al., 2014), MIX99 (Lidauer et al., 2011), and ASReml4 (Gilmour et al., 2014), which implement REML-type…”
GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction (2016, methodology): “The software package also did not implement the functions to derive kinship from both pedigree and genetic markers (Misztal et al., 2009), models of multiple traits (Arthur et al., 2012), and multiple marker tests (Segura et al., 2012).”
Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. (2012, methodology): “This also means, for example, that information from the expected relationship matrix (A) derived from pedigree and G cannot be combined to maximize the accuracy of the EBV in a one-step approach (e.g., Misztal et al., 2009).”
Genomics to systems biology in animal and veterinary sciences: Progress, lessons and opportunities☆ (2014, methodology): “The H-BLUP or single-step BLUP (ssBLUP) method proposed and further developed by Misztal et al. (2009), Christensen and Lund (2010), Forni et al. (2011), Legarra and Ducrocq (2012) includes both non-genotyped and genotyped animals in GEBV calculations.”
Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. (2010, methodology): “which could be implemented in tests by using computing algorithms such as in Misztal et al. (2009) with only a few more computations per round of iteration than for traditional evaluations.”