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Improving the accuracy of genomic predictions for disease resistance traits in fish using a multiple-trait linear-threshold model

2022-05-01

Abstract excerpt

Genomic selection is effective in enhancing the selection efficiency during breeding for improved disease resistance in fish. However, given that the collection of routine disease challenge data is generally costly and that disease resistance traits are threshold traits with typically low heritability, there has been comparatively limited progress in improving the accuracy of genomic prediction. The objective of t...

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Literature Corpus work
e35baffb-ddd8-5189-bf9c-7798e9f1925c
DOI
10.1016/j.aquaculture.2022.738163
Open publication

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Improving the accuracy of genomic predictions for disease resistance traits in fish using a multiple-trait linear-threshold modelDOI 10.1016/j.aquaculture.2022.738163
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