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More animals than markers: a study into the application of the single step T-BLUP model in large-scale multi-trait Australian Angus beef cattle genetic evaluation
被引:0
|作者:
Vinzent Boerner
David J. Johnston
机构:
[1] Animal Genetics and Breeding Unit (AGBU),
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摘要:
Multi-trait single step genetic evaluation is increasingly facing the situation of having more individuals with genotypes than markers within each genotype. This creates a situation where the genomic relationship matrix (G\documentclass[12pt]{minimal}
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\begin{document}$$\mathbf{G }$$\end{document}) is not of full rank and its inversion is algebraically impossible. Recently, the SS-T-BLUP method was proposed as a modified version of the single step equations, providing an elegant way to circumvent the inversion of the G\documentclass[12pt]{minimal}
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\begin{document}$$\mathbf{G }$$\end{document} and therefore accommodate the situation described. SS-T-BLUP uses the Woodbury matrix identity, thus it requires an add-on matrix, which is usually the covariance matrix of the residual polygenic effet. In this paper, we examine the application of SS-T-BLUP to a large-scale multi-trait Australian Angus beef cattle dataset using the full BREEDPLAN single step genetic evaluation model and compare the results to the application of two different methods of using G\documentclass[12pt]{minimal}
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\begin{document}$$\mathbf{G }$$\end{document} in a single step model. Results clearly show that SS-T-BLUP outperforms other single step formulations in terms of computational speed and avoids approximation of the inverse of G\documentclass[12pt]{minimal}
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\begin{document}$$\mathbf{G }$$\end{document}.
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