335 Genomic predictions with a multi-breed genomic relationship matrix
نویسندگان
چکیده
منابع مشابه
Across breed multi-trait random regression genomic predictions in the Nordic Red dairy cattle.
The current study evaluates reliability of genomic predictions in selection candidates using multi-trait random regression model, which accounts for interactions between marker effects and breed of origin in the Nordic Red dairy cattle (RDC). The population structure of the RDC is admixed. Data consisted of individual animal breed proportions calculated from the full pedigree, deregressed proof...
متن کاملGenomic selection using a realized genomic relationship matrix in a Pinus taeda L. cloned population
Genetic merit can be considered the finite sum of thousands of allelic effects, each physically located at some place on the genome, whose transmission can be traced through molecular markers. Traditionally, best linear unbiased prediction (BLUP) of breeding values relies on average additive genetic covariances (the numerator relationship matrix A) derived from pedigrees to utilize information ...
متن کاملA relationship matrix including full pedigree and genomic information.
Dense molecular markers are being used in genetic evaluation for parts of the population. This requires a two-step procedure where pseudo-data (for instance, daughter yield deviations) are computed from full records and pedigree data and later used for genomic evaluation. This results in bias and loss of information. One way to incorporate the genomic information into a full genetic evaluation ...
متن کاملUsing the genomic relationship matrix to predict the accuracy of genomic selection.
Estimated breeding values (EBVs) using data from genetic markers can be predicted using a genomic relationship matrix, derived from animal's genotypes, and best linear unbiased prediction. However, if the accuracy of the EBVs is calculated in the usual manner (from the inverse element of the coefficient matrix), it is likely to be overestimated owing to sampling errors in elements of the genomi...
متن کاملGenome-Wide Association Studies with a Genomic Relationship Matrix: A Case Study with Wheat and Arabidopsis
Standard genome-wide association studies (GWAS) scan for relationships between each of p molecular markers and a continuously distributed target trait. Typically, a marker-based matrix of genomic similarities among individuals ( G: ) is constructed, to account more properly for the covariance structure in the linear regression model used. We show that the generalized least-squares estimator of ...
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ژورنال
عنوان ژورنال: Journal of Animal Science
سال: 2019
ISSN: 0021-8812,1525-3163
DOI: 10.1093/jas/skz258.099