A Comparison of Genomically Enhanced Breeding Values Predicted by Different Single-Step Approaches
By: Dawid Słomian, Kacper Żukowski and Joanna Szyda
References
- Aguilar I., Misztal I., Johnson D.L., Legarra A., Tsuruta S., Lawlor T.J. (2010). Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J. Dairy Sci., 93: 743–752.
- Christensen O.F., Lund M.S. (2010). Genomic prediction when some animals are not genotyped. Genet. Sel. Evol., 42: 2.
- Fragomeni B.O., Lourenco D.A.L., Tsuruta S., Masuda Y., Aguilar I., Legarra A., Lawlor T.J., Misztal I. (2015). Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes. J. Dairy Sci., 98: 4090–4094.
- Gao H., Koivula M., Jensen J., Strandén I., Madsen P., Pitkänen T., Aamand G.P, Mäntysaari E.A. (2018). Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population. J. Dairy Sci., 101: 10082–10088.
- Koivula M., Strandén I., Su G., Mäntysaari E.A. (2012). Different methods to calculate genomic predictions – Comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP). J. Dairy Sci., 95: 4065–4073.
- Legarra A., Christensen O.F., Aguilar I., Misztal I. (2014). Single Step, a general approach for genomic selection. Livest. Sci., 166: 54–65.
- Liu Z., Goddard M.E., Hayes B.J., Reinhardt F., Reents R. (2016). Technical note: Equivalent genomic models with a residual polygenic effect. J. Dairy Sci., 99: 2016–2025.
- Liu Z., Goddard M.E., Reinhardt F., Reents R. (2014). A single-step genomic model with direct estimation of marker effects. J. Dairy Sci., 97: 5833–5850.
- Lourenco D., Legarra A., Tsuruta S., Masuda Y., Aguilar I., Misztal I. (2020). Single-step genomic evaluations from theory to practice: using SNP chips and sequence data in BLUPF90. Genes, 11: 790.
- Macedo F.L., Astruc J.M., Meuwissen T.H.E., Legarra A. (2022). Removing data and using metafounders alleviates biases for all traits in Lacaune dairy sheep predictions. J. Dairy Sci., 105: 2439–2452.
- Mäntysaari E.A., Koivula M., Strandén I. (2020). Symposium review: Single-step genomic evaluations in dairy cattle. J. Dairy Sci., 103: 5314–5326.
- Mäntysaari E.A., Liu Z., VanRaden P. (2010). Interbull validation test for genomic evaluations. Interbull Bulletin, 17.
- Masuda Y., Misztal I., Tsuruta S., Legarra A., Aguilar I., Lourenco D.A.L., Fragomeni B.O., Lawlor T.J. (2016). Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals. J. Dairy Sci., 99: 1968–1974.
- Misztal I. (2016). Inexpensive computation of the inverse of the genomic relationship matrix in populations with small effective population size. Genetics, 202: 401–409.
- Misztal I., Legarra A., Aguilar I. (2014). Using recursion to compute the inverse of the genomic relationship matrix. J. Dairy Sci., 97: 3943–3952.
- Strandén I., Garrick D.J. (2009). Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit. J. Dairy Sci., 92: 2971–2975.
- Vandenplas J., ten Napel J., Darbaghshahi S.N., Evans R., Calus M.P.L., Veerkamp R., Cromie A., Mäntysaari E.A., Strandén I. (2023). Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates. Genet. Sel. Evol., 55: 37.
- Vandenplas J., Veerkamp R.F., Calus M.P.L., Lidauer M.H., Strandén I., Taskinen M., Schrauf M.F.S.G., ten Napel J. (2022). MiXBLUP 3.0 – software for large genomic evaluations in animal breeding programs. Proc. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, the Netherlands: Wageningen Academic Publishers, pp. 1498–1501.
Language: English
Page range: 789 - 796
Submitted on: Feb 15, 2025
Accepted on: Aug 8, 2025
Published on: Apr 30, 2026
Published by: National Research Institute of Animal Production
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Related subjects:
© 2026 Dawid Słomian, Kacper Żukowski, Joanna Szyda, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons Attribution 4.0 License.