Genomic prediction of breeding values using previously estimated SNP variances [PDF]
Genetics Selection Evolution, 2014 Genomic prediction requires estimation of variances of effects of single nucleotide polymorphisms (SNPs), which is computationally demanding, and uses these variances for prediction. We have developed models with separate estimation of SNP variances, which can be applied infrequently, and genomic prediction, which can be applied routinely.SNP variances
Calus, M.P.L. +2 more
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The impact of genomic relatedness between populations on the genomic estimated breeding values [PDF]
Journal of Animal Science and Biotechnology, 2018 In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is
Ma, Peipei +7 more
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Genetic evaluation and accuracy analysis of commercial Hanwoo population using genomic data
Journal of Animal Reproduction and Biotechnology, 2023 This study has evaluated the genomic estimated breeding value (GEBV) of the commercial Hanwoo population using the genomic best linear unbiased prediction (GBLUP) method and genomic information. Furthermore, it analyzed the accuracy and realized accuracy
Gwang Hyeon Lee +2 more
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Deregressing estimated breeding values and weighting information for genomic regression analyses [PDF]
Genetics Selection Evolution, 2009 Genomic prediction of breeding values involves a so-called training analysis that predicts the influence of small genomic regions by regression of observed information on marker genotypes for a given population of individuals. Available observations may take the form of individual phenotypes, repeated observations, records on close family members such ...
Garrick, Dorian J. +2 more
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Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum. [PDF]
, 2020 The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum
Brown, Patrick J +8 more
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Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values [PDF]
, 2009 The aim of this paper was to compare the effect of haplotype definition on the precision of QTL-mapping and on the accuracy of predicted genomic breeding values.
Mario PL Calus +28 more
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Animal, 2015 Estimated breeding values (EBVs) and genomic enhanced breeding values (GEBVs) for milk production of young genotyped Holstein bulls were predicted using a conventional BLUP - Animal Model, a method fitting regression coefficients for loci (RRBLUP), a method utilizing the realized genomic relationship matrix (GBLUP), by a single-step procedure (ssGBLUP)
J. Přibyl +8 more
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Accuracies of genomically estimated breeding values from pure-breed and across-breed predictions in Australian beef cattle [PDF]
Genetics Selection Evolution, 2014 The major obstacles for the implementation of genomic selection in Australian beef cattle are the variety of breeds and in general, small numbers of genotyped and phenotyped individuals per breed. The Australian Beef Cooperative Research Center (Beef CRC) investigated these issues by deriving genomic prediction equations (PE) from a training set of ...
Boerner, Vinzent +2 more
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Genomic selection in rubber tree breeding: A comparison of models and methods for managing G×E interactions [PDF]
, 2019 Several genomic prediction models combining genotype × environment (G×E) interactions have recently been developed and used for genomic selection (GS) in plant breeding programs. G×E interactions reduce selection accuracy and limit genetic gains in plant
Francisco, Felipe O. +6 more
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Estimating genomic breeding values and detecting QTL using univariate and bivariate models [PDF]
BMC Proceedings, 2011 Genomic selection is particularly beneficial for difficult or expensive to measure traits. Since multi-trait selection is an important tool to deal with such cases, an important question is what the added value is of multi-trait genomic selection.The simulated dataset, including a quantitative and binary trait, was analyzed with four univariate and ...
Calus, M.P.L. +2 more
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