Sentence examples for breed predictions from inspiring English sources

These predictions would likely primarily comprise two to three breed predictions (Angus or Red Angus and a Continental breed), and could set the stage for implementation in populations with higher amounts of admixture and unknown but highly variable breed composition.

Previous studies based on Single Nucleotide Polymorphism (SNP) markers from the Illumina 50K SNP chip [ 8] have reported that distances between markers would be too large for high persistence of linkage disequilibrium (LD) phase across breeds, and accuracies of across breed prediction were zero [ 9, 10].

Results from [ 31, 32] suggest that across-breed predictions in animal breeding are favorable when populations are closely related, marker density is high and within-breed training populations are small.

Here, we show the advantages of nonlinear genomic prediction methods with across-breed predictions.

Across-breed predictions showed an overall benefit of using BayesR compared to GBLUP (Table  5).

As expected, empirical cross-breed predictions in cattle fell to zero using 50 K SNPs, although combining breeds into a single training set resulted in prediction accuracies comparable to within-breed predictions [ 13].

In contrast, accuracies for the American Limousin population from within-breed predictions were equal to ∼0.4, and for yearling weight, they even reached 0.76 [ 26].

Studies on beef cattle across-breed predictions are limited [ 14, 15], but accuracies of g.CIMF and g.WW reported here were in the same range than those in [ 15].

The presence of large-effect QTL that do not segregate in all breeds is a significant limitation in multi-breed predictions.

However, it might prove useful in across-breed predictions, if training data are available on both breeds and the focus is on prediction accuracy in a given breed.

Across various traits and breed combinations, BayesR outperformed GBLUP by on average 7% for all across-breed predictions in milk production traits.