Hawken R - Search Results

1

Investigating the persistence of accuracy of genomic predictions over time in broilers.

Hidalgo J, Lourenco D, Tsuruta S, Masuda Y, Breen V, Hawken R, Bermann M, Misztal I. Hidalgo J, et al. Among authors: hawken r. J Anim Sci. 2021 Sep 1;99(9):skab239. doi: 10.1093/jas/skab239. J Anim Sci. 2021. PMID: 34378776 Free PMC article.

2

Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken.

Lourenco DA, Fragomeni BO, Tsuruta S, Aguilar I, Zumbach B, Hawken RJ, Legarra A, Misztal I. Lourenco DA, et al. Genet Sel Evol. 2015 Jul 2;47(1):56. doi: 10.1186/s12711-015-0137-1. Genet Sel Evol. 2015. PMID: 26133806 Free PMC article.

3

Modeling genetic differences of combined broiler chicken populations in single-step GBLUP.

Bermann M, Lourenco D, Breen V, Hawken R, Brito Lopes F, Misztal I. Bermann M, et al. Among authors: hawken r. J Anim Sci. 2021 Apr 1;99(4):skab056. doi: 10.1093/jas/skab056. J Anim Sci. 2021. PMID: 33649764 Free PMC article.

4

Validation of genomic predictions for body weight in broilers using crossbred information and considering breed-of-origin of alleles.

Duenk P, Calus MPL, Wientjes YCJ, Breen VP, Henshall JM, Hawken R, Bijma P. Duenk P, et al. Among authors: hawken r. Genet Sel Evol. 2019 Jul 8;51(1):38. doi: 10.1186/s12711-019-0481-7. Genet Sel Evol. 2019. PMID: 31286857 Free PMC article.

5

Correction to: Validation of genomic predictions for body weight in broilers using crossbred information and considering breed-of-origin of alleles.

Duenk P, Calus MPL, Wientjes YCJ, Breen VP, Henshall JM, Hawken R, Bijma P. Duenk P, et al. Among authors: hawken r. Genet Sel Evol. 2019 Nov 11;51(1):63. doi: 10.1186/s12711-019-0507-1. Genet Sel Evol. 2019. PMID: 31711413 Free PMC article.

6

Estimating the purebred-crossbred genetic correlation of body weight in broiler chickens with pedigree or genomic relationships.

Duenk P, Calus MPL, Wientjes YCJ, Breen VP, Henshall JM, Hawken R, Bijma P. Duenk P, et al. Among authors: hawken r. Genet Sel Evol. 2019 Feb 19;51(1):6. doi: 10.1186/s12711-019-0447-9. Genet Sel Evol. 2019. PMID: 30782121 Free PMC article.

7

Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers.

Passafaro TL, Lopes FB, Dórea JRR, Craven M, Breen V, Hawken RJ, Rosa GJM. Passafaro TL, et al. Among authors: hawken rj. BMC Genomics. 2020 Nov 9;21(1):771. doi: 10.1186/s12864-020-07181-x. BMC Genomics. 2020. PMID: 33167865 Free PMC article.

8

Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens.

Wang H, Misztal I, Aguilar I, Legarra A, Fernando RL, Vitezica Z, Okimoto R, Wing T, Hawken R, Muir WM. Wang H, et al. Among authors: hawken r. Front Genet. 2014 May 20;5:134. doi: 10.3389/fgene.2014.00134. eCollection 2014. Front Genet. 2014. PMID: 24904635 Free PMC article.

9

Assessment of sire contribution and breed-of-origin of alleles in a three-way crossbred broiler dataset.

Calus MPL, Vandenplas J, Hulsegge I, Borg R, Henshall JM, Hawken R. Calus MPL, et al. Among authors: hawken r. Poult Sci. 2019 Dec 1;98(12):6270-6280. doi: 10.3382/ps/pez458. Poult Sci. 2019. PMID: 31393589 Free PMC article.

10

Estimation of dam line composition of 3-way crossbred animals using genomic information.

Calus MPL, Henshall JM, Hawken R, Vandenplas J. Calus MPL, et al. Among authors: hawken r. Genet Sel Evol. 2022 Jun 15;54(1):44. doi: 10.1186/s12711-022-00728-4. Genet Sel Evol. 2022. PMID: 35705918 Free PMC article.

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