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Two methods were implemented to predict breed proportion of Merino and Poll Dorset.
Our use of G allows direct prediction of breed proportion, whereas VanRaden et al.
However, it is important to consider how the choice of markers may affect the estimation of breed proportion.
The missing values are then replaced weighted by the individuals breed proportion of Romney, Coopworth, Perendale, Texel or other.
BL = Border Leicester, PD = Poll Dorset, WS = White Suffolk, G1 = single population genomic relationship matrix, G2 = combined population genomic relationship matrix, accuracies within columns and within breed blocks are significantly different when letter superscripts differ (p < 0.05); number of haplotypes calculated as 2 × population size × breed proportion.
This figure shows that all the breeds can be clearly distinguished except Holstein and Friesian, for which animals were assigned to either of the two breeds based on their greatest breed proportion but many of the animals were actually crosses between Holstein and Friesian.
Similar(54)
(2011) predicted marker effects from which breed proportions were calculated.
Breed proportions were then predicted using model (2).
Estimated breed proportions for 2 9 assumed ancestral populations (ADMIXTURE 1.23).
Q is a matrix with breed proportions for each animal.
Finally, we used ADMIXTURE 1.23 [ 43] to predict ancestral populations and estimate breed proportions.
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