Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus1
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چکیده
منابع مشابه
Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus1
Predictive ability of genomic EBV when using single-step genomic BLUP (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth weight (BiW) and weaning weight (WW), almost 3.4 million on postweaning gain (PWG), and over 1.3 million on calving ease (CE). Genomic information was available on, at most, 51,883 animals, which included high and low EBV accuracy anima...
متن کاملGenetic evaluation using single-step genomic best linear unbiased predictor in American Angus.
Predictive ability of genomic EBV when using single-step genomic BLUP (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth weight (BiW) and weaning weight (WW), almost 3.4 million on postweaning gain (PWG), and over 1.3 million on calving ease (CE). Genomic information was available on, at most, 51,883 animals, which included high and low EBV accuracy anima...
متن کاملGenetic evaluation using single-step genomic BLUP in American Angus
Introduction Genomic selection in beef cattle has currently been performed with multistep methods, which uses deregressed EBV to estimate SNP effects and then direct genomic value (DGV) for selection candidates based on their genotypes (Meuwissen et al., 2001; Garrick et al., 2009). The main advantage of this approach is that the traditional BLUP evaluation is kept unchanged and genomic selecti...
متن کاملRunning head : Single - step genomic BLUP for Angus Genetic evaluation using single - step genomic BLUP in American Angus
Predictive ability of genomic EBV when using single-step genomic BLUP 1 (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth 2 weight (BW) and weaning weight (WW), almost 3.4 million on post-weaning gain (PWG), and 3 over 1.3 million on calving ease (CE). Genomic information was available on at most 51,883 4 animals, which included high and low EBV accuracy...
متن کاملPrediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor
Despite important advances from Genome Wide Association Studies (GWAS), for most complex human traits and diseases, a sizable proportion of genetic variance remains unexplained and prediction accuracy (PA) is usually low. Evidence suggests that PA can be improved using Whole-Genome Regression (WGR) models where phenotypes are regressed on hundreds of thousands of variants simultaneously. The Ge...
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ژورنال
عنوان ژورنال: Journal of Animal Science
سال: 2015
ISSN: 0021-8812,1525-3163
DOI: 10.2527/jas.2014-8836