Junqueira VS - Search Results

1

Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?

Junqueira VS, Lourenco D, Masuda Y, Cardoso FF, Lopes PS, Silva FFE, Misztal I. Junqueira VS, et al. J Anim Sci. 2022 May 1;100(5):skac082. doi: 10.1093/jas/skac082. J Anim Sci. 2022. PMID: 35289906 Free PMC article.

2

Genomic prediction using different estimation methodology, blending and cross-validation techniques for growth traits and visual scores in Hereford and Braford cattle.

Campos GS, Reimann FA, Cardoso LL, Ferreira CER, Junqueira VS, Schmidt PI, Braccini Neto J, Yokoo MJI, Sollero BP, Boligon AA, Cardoso FF. Campos GS, et al. Among authors: junqueira vs. J Anim Sci. 2018 Jun 29;96(7):2579-2595. doi: 10.1093/jas/sky175. J Anim Sci. 2018. PMID: 29741705 Free PMC article.

3

Use of molecular markers to improve relationship information in the genetic evaluation of beef cattle tick resistance under pedigree-based models.

Junqueira VS, Cardoso FF, Oliveira MM, Sollero BP, Silva FF, Lopes PS. Junqueira VS, et al. J Anim Breed Genet. 2017 Feb;134(1):14-26. doi: 10.1111/jbg.12239. Epub 2016 Sep 22. J Anim Breed Genet. 2017. PMID: 27658502

4

Tag-SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle.

Campos GS, Sollero BP, Reimann FA, Junqueira VS, Cardoso LL, Yokoo MJI, Boligon AA, Braccini J, Cardoso FF. Campos GS, et al. Among authors: junqueira vs. J Anim Breed Genet. 2020 Sep;137(5):449-467. doi: 10.1111/jbg.12458. Epub 2019 Nov 27. J Anim Breed Genet. 2020. PMID: 31777136

5

Applying the Metafounders Approach for Genomic Evaluation in a Multibreed Beef Cattle Population.

Junqueira VS, Lopes PS, Lourenco D, Silva FFE, Cardoso FF. Junqueira VS, et al. Front Genet. 2020 Dec 3;11:556399. doi: 10.3389/fgene.2020.556399. eCollection 2020. Front Genet. 2020. PMID: 33424914 Free PMC article.

6

Tag SNP selection for prediction of tick resistance in Brazilian Braford and Hereford cattle breeds using Bayesian methods.

Sollero BP, Junqueira VS, Gomes CCG, Caetano AR, Cardoso FF. Sollero BP, et al. Among authors: junqueira vs. Genet Sel Evol. 2017 Jun 15;49(1):49. doi: 10.1186/s12711-017-0325-2. Genet Sel Evol. 2017. PMID: 28619006 Free PMC article.

7

Combining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models.

Oliveira HR, Silva FF, Siqueira OH, Souza NO, Junqueira VS, Resende MD, Borquis RR, Rodrigues MT. Oliveira HR, et al. Among authors: junqueira vs. J Anim Sci. 2016 May;94(5):1865-74. doi: 10.2527/jas.2015-0150. J Anim Sci. 2016. PMID: 27285684

8

Breeding objectives of Brangus cattle in Brazil.

Simões MRS, Leal JJB, Minho AP, Gomes CC, MacNeil MD, Costa RF, Junqueira VS, Schmidt PI, Cardoso FF, Boligon AA, Yokoo MJ. Simões MRS, et al. Among authors: junqueira vs. J Anim Breed Genet. 2020 Mar;137(2):177-188. doi: 10.1111/jbg.12415. Epub 2019 Jun 10. J Anim Breed Genet. 2020. PMID: 31179593

9

Comparison of methods used to identify superior individuals in genomic selection in plant breeding.

Bhering LL, Junqueira VS, Peixoto LA, Cruz CD, Laviola BG. Bhering LL, et al. Among authors: junqueira vs. Genet Mol Res. 2015 Sep 10;14(3):10888-96. doi: 10.4238/2015.September.9.26. Genet Mol Res. 2015. PMID: 26400316 Free article.

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