Fragomeni BO - Search Results

1

Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes.

Fragomeni BO, Lourenco DA, Tsuruta S, Masuda Y, Aguilar I, Legarra A, Lawlor TJ, Misztal I. Fragomeni BO, et al. J Dairy Sci. 2015 Jun;98(6):4090-4. doi: 10.3168/jds.2014-9125. Epub 2015 Apr 8. J Dairy Sci. 2015. PMID: 25864050 Free article.

2

Changes in variance explained by top SNP windows over generations for three traits in broiler chicken.

Fragomeni Bde O, Misztal I, Lourenco DL, Aguilar I, Okimoto R, Muir WM. Fragomeni Bde O, et al. Front Genet. 2014 Oct 1;5:332. doi: 10.3389/fgene.2014.00332. eCollection 2014. Front Genet. 2014. PMID: 25324857 Free PMC article.

3

Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses--a simulation study.

Fragomeni BO, Lourenco DA, Tsuruta S, Masuda Y, Aguilar I, Misztal I. Fragomeni BO, et al. J Anim Breed Genet. 2015 Oct;132(5):340-5. doi: 10.1111/jbg.12161. Epub 2015 Apr 10. J Anim Breed Genet. 2015. PMID: 25857518

4

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.

Lourenco DA, Tsuruta S, Fragomeni BO, Masuda Y, Aguilar I, Legarra A, Bertrand JK, Amen TS, Wang L, Moser DW, Misztal I. Lourenco DA, et al. Among authors: fragomeni bo. J Anim Sci. 2015 Jun;93(6):2653-62. doi: 10.2527/jas.2014-8836. J Anim Sci. 2015. PMID: 26115253

5

Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.

Masuda Y, Misztal I, Tsuruta S, Legarra A, Aguilar I, Lourenco DAL, Fragomeni BO, Lawlor TJ. Masuda Y, et al. Among authors: fragomeni bo. J Dairy Sci. 2016 Mar;99(3):1968-1974. doi: 10.3168/jds.2015-10540. Epub 2016 Jan 21. J Dairy Sci. 2016. PMID: 26805987 Free article.

6

Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices.

Lourenco DA, Tsuruta S, Fragomeni BO, Chen CY, Herring WO, Misztal I. Lourenco DA, et al. Among authors: fragomeni bo. J Anim Sci. 2016 Mar;94(3):909-19. doi: 10.2527/jas.2015-9748. J Anim Sci. 2016. PMID: 27065253

7

Genetic evaluations for growth heat tolerance in Angus cattle.

Bradford HL, Fragomeni BO, Bertrand JK, Lourenco DA, Misztal I. Bradford HL, et al. Among authors: fragomeni bo. J Anim Sci. 2016 Oct;94(10):4143-4150. doi: 10.2527/jas.2016-0707. J Anim Sci. 2016. PMID: 27898850

8

Regional and seasonal analyses of weights in growing Angus cattle.

Bradford HL, Fragomeni BO, Bertrand JK, Lourenco DA, Misztal I. Bradford HL, et al. Among authors: fragomeni bo. J Anim Sci. 2016 Oct;94(10):4369-4375. doi: 10.2527/jas.2016-0683. J Anim Sci. 2016. PMID: 27898859

9

Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population.

Silva RM, Fragomeni BO, Lourenco DA, Magalhães AF, Irano N, Carvalheiro R, Canesin RC, Mercadante ME, Boligon AA, Baldi FS, Misztal I, Albuquerque LG. Silva RM, et al. Among authors: fragomeni bo. J Anim Sci. 2016 Sep;94(9):3613-3623. doi: 10.2527/jas.2016-0401. J Anim Sci. 2016. PMID: 27898889

10

Modeling response to heat stress in pigs from nucleus and commercial farms in different locations in the United States.

Fragomeni BO, Lourenco DA, Tsuruta S, Andonov S, Gray K, Huang Y, Misztal I. Fragomeni BO, et al. J Anim Sci. 2016 Nov;94(11):4789-4798. doi: 10.2527/jas.2016-0536. J Anim Sci. 2016. PMID: 27898949

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