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Genomic prediction for CH cattle can be greatly improved using a joint reference dataset that includes CH and NH cattle.
Several studies have reported that the reliability of genomic prediction can be increased by using a joint reference dataset that includes reference animals from other populations.
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The objectives of this study were to: (1) estimate the consistency of linkage disequilibrium between the Chinese and the Nordic Holstein populations and (2) assess the gains in reliability of genomic predictions in Chinese Holstein from using a joint Chinese and Nordic reference dataset, compared with using the Chinese reference dataset alone.
For each scene, the segmentations of the individual input image modalities were used to derive a joint reference ("gold standard") contour image that represents the visually most salient details from both of these modalities and for that particular scene.
The Cecalas have used a joint CB handle, Cognac Base.
In the current study, when using the joint reference dataset, genomic predictions were estimated using a two-trait model, in which the same biological trait was considered to be a different trait in the CH and NH populations.
When using the joint reference dataset, the average reliabilities increased to 0.45 for CH bulls and to 0.21 for CH cows.
When ignoring this correction, the validation reliabilities of genomic predictions for CH bulls using the joint reference dataset were unrealistically high at 0.69, 0.54 and 0.60 for milk yield, fat yield and protein yield, respectively.
* CH reference datasets; when using joint reference datasets for prediction 4398 Nordic Holstein bulls were included.
Currently, the joint activity of a combination is quantified by comparing the observed and expected effects using a reference model.
Better yet, use a miter joint or end lap joint.
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