PUBLICATIONS
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Gao, H., Kudinov, A.A., Taskinen, M. et al. A computationally efficient method for approximating reliabilities in large-scale single-step genomic prediction. Genet Sel Evol 55, 1 (2023). https://doi.org/10.1186/s12711-022-00774-y
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Gao, H., G. Su, J. Jensen, P. Madsen, O. F. Christensen, B. Ask, B. G. Poulsen, T. Ostersen, B. Nielsen. 2021 Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs. Genet Sel Evol 53, 33. https://doi.org/10.1186/s12711-021-00624-
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Li J, Gao H, Madsen P, Li R, Liu W, Bao P, Xue G, Gao Y, Di X and Su G. 2020 Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population. Front. Genet. 11:586155. doi: 10.3389/fgene.2020.586155 co-first author
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Gao H., P. Madsen, G. P. Aamand, J. R. Thomasen, A. C. S{\o}rensen and J. Jensen. 2019 Effects of genomic selection on estimation of variance components: a simulation study. BMC Genomics
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Gao H., B. Nielsen, G. Su, P. Madsen, J. Jensen, O. F. Christensen, T. Ostersen and M. Shirali. 2019 Use of repeated group measurements with drop out animals for variance component estimation and genetic prediction. G3: GENES, GENOMES, GENETICS
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Gao H., M. Koivula, I. Strand{'e}n, J. Jensen, P. Madsen, T. Pitk{"a}nen, G. P. Aamand, and M{"a}ntysaari E. 2018. Genomic prediction using different single-step methods in the Finnish red dairy cattle population. Journal of Dairy Science
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Gao H., P. Madsen, J. P{"o}s{"o}, G. P. Aamand, M. Lidauer and J. Jensen. 2018. Multivariate outlier detection for routine Nordic dairy cattle genetic evaluation in the Nordic Holstein and Red population. Journal of Dairy Science
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Gao, H., P. Madsen, U. S. Nielsen, G. P. Aamand, G. Su, K. Byskov, and J. Jensen. 2015. Including different groups of genotyped females for genomic prediction in a Nordic Jersey population. Journal of Dairy Science 98(12):9051-9059
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Gao, H., G. Su, L. Janss, Y. Zhang, and M. S. Lund. 2013. Model comparison on genomic predictions using high-density markers for different groups of bulls in the Nordic Holstein population. Journal of Dairy Science 96(7):4678-4687
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Gao, H., M. Lund, Y. Zhang, and G. Su. 2013. Accuracy of genomic prediction using different models and response variables in the Nordic Red cattle population. Journal of Animal Breeding and Genetics
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Gao, H., O. F. Christensen, P. Madsen, U. S. Nielsen, Y. Zhang, M. S. Lund, and G. Su. 2012. Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population. Genetics Selection Evolution 44:8