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Items: 1 to 50 of 59

1.

Genomic predictions in purebreds with a multi-breed genomic relationship matrix.

Steyn Y, Lourenco DAL, Misztal I.

J Anim Sci. 2019 Sep 20. pii: skz296. doi: 10.1093/jas/skz296. [Epub ahead of print]

PMID:
31539424
2.

Controlling bias in genomic breeding values for young genotyped bulls.

Tsuruta S, Lourenco DAL, Masuda Y, Misztal I, Lawlor TJ.

J Dairy Sci. 2019 Nov;102(11):9956-9970. doi: 10.3168/jds.2019-16789. Epub 2019 Sep 5.

PMID:
31495630
3.

Alternative SNP weighting for single-step genomic best linear unbiased predictor evaluation of stature in US Holsteins in the presence of selected sequence variants.

Fragomeni BO, Lourenco DAL, Legarra A, VanRaden PM, Misztal I.

J Dairy Sci. 2019 Nov;102(11):10012-10019. doi: 10.3168/jds.2019-16262. Epub 2019 Sep 5.

PMID:
31495612
4.

Single-step genome-wide association for longitudinal traits of Canadian Ayrshire, Holstein, and Jersey dairy cattle.

Oliveira HR, Lourenco DAL, Masuda Y, Misztal I, Tsuruta S, Jamrozik J, Brito LF, Silva FF, Cant JP, Schenkel FS.

J Dairy Sci. 2019 Nov;102(11):9995-10011. doi: 10.3168/jds.2019-16821. Epub 2019 Aug 30.

PMID:
31477296
5.

Whole-genome mapping of quantitative trait loci and accuracy of genomic predictions for resistance to columnaris disease in two rainbow trout breeding populations.

Silva RMO, Evenhuis JP, Vallejo RL, Gao G, Martin KE, Leeds TD, Palti Y, Lourenco DAL.

Genet Sel Evol. 2019 Aug 6;51(1):42. doi: 10.1186/s12711-019-0484-4.

6.

Use of a single-step approach for integrating foreign information into national genomic evaluation in Holstein cattle.

Guarini AR, Lourenco DAL, Brito LF, Sargolzaei M, Baes CF, Miglior F, Tsuruta S, Misztal I, Schenkel FS.

J Dairy Sci. 2019 Sep;102(9):8175-8183. doi: 10.3168/jds.2018-15819. Epub 2019 Jul 10.

PMID:
31301840
7.

Genome-wide association for milk production traits and somatic cell score in different lactation stages of Ayrshire, Holstein, and Jersey dairy cattle.

Oliveira HR, Cant JP, Brito LF, Feitosa FLB, Chud TCS, Fonseca PAS, Jamrozik J, Silva FF, Lourenco DAL, Schenkel FS.

J Dairy Sci. 2019 Sep;102(9):8159-8174. doi: 10.3168/jds.2019-16451. Epub 2019 Jul 10.

PMID:
31301836
8.

Invited review: Advances and applications of random regression models: From quantitative genetics to genomics.

Oliveira HR, Brito LF, Lourenco DAL, Silva FF, Jamrozik J, Schaeffer LR, Schenkel FS.

J Dairy Sci. 2019 Sep;102(9):7664-7683. doi: 10.3168/jds.2019-16265. Epub 2019 Jun 27.

PMID:
31255270
9.

Improving accuracy of direct and maternal genetic effects in genomic evaluations using pooled boar semen: a simulation study1.

Maiorano AM, Assen A, Bijma P, Chen CY, Silva JAIV, Herring WO, Tsuruta S, Misztal I, Lourenco DAL.

J Anim Sci. 2019 Jul 30;97(8):3237-3245. doi: 10.1093/jas/skz207.

PMID:
31240314
10.

Impact of including information from bulls and their daughters in the training population of multiple-step genomic evaluations in dairy cattle: A simulation study.

de Oliveira HR, Brito LF, Sargolzaei M, E Silva FF, Jamrozik J, Lourenco DAL, Schenkel FS.

J Anim Breed Genet. 2019 Jun 3. doi: 10.1111/jbg.12407. [Epub ahead of print]

PMID:
31161635
11.

A genome-wide single nucleotide polymorphism and copy number variation analysis for number of piglets born alive.

Stafuzza NB, Silva RMO, Fragomeni BO, Masuda Y, Huang Y, Gray K, Lourenco DAL.

BMC Genomics. 2019 Apr 27;20(1):321. doi: 10.1186/s12864-019-5687-0.

12.

Estimating the effect of the deleterious recessive haplotypes AH1 and AH2 on reproduction performance of Ayrshire cattle.

Guarini AR, Sargolzaei M, Brito LF, Kroezen V, Lourenco DAL, Baes CF, Miglior F, Cole JB, Schenkel FS.

J Dairy Sci. 2019 Jun;102(6):5315-5322. doi: 10.3168/jds.2018-15366. Epub 2019 Apr 4.

PMID:
30954262
13.

Effects of a selanylimidazopyridine on the acute restraint stress-induced depressive- and anxiety-like behaviors and biological changes in mice.

Domingues M, Casaril AM, Birmann PT, Bampi SR, Lourenço DA, Vieira BM, Dapper LH, Lenardão EJ, Sonego M, Collares T, Seixas FK, Brüning CA, Savegnago L.

Behav Brain Res. 2019 Jul 2;366:96-107. doi: 10.1016/j.bbr.2019.03.021. Epub 2019 Mar 12.

PMID:
30877027
14.

Optimized Histological Preparation of Ovary for Ovariole Counting in Africanized Honey Bee Queens (Hymenoptera: Apidae).

Raulino-Domanski F, Potrich M, Freitas PF, Abdalla FC, Martins EN, Lourenco DAL, Costa-Maia FM.

J Insect Sci. 2019 Mar 1;19(2). pii: 12. doi: 10.1093/jisesa/iez013.

15.

Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data1.

Pocrnic I, Lourenco DAL, Chen CY, Herring WO, Misztal I.

J Anim Sci. 2019 Apr 3;97(4):1513-1522. doi: 10.1093/jas/skz042.

16.

International bull evaluations by genomic BLUP with a prediction population.

Fragomeni B, Masuda Y, Bradford HL, Lourenco DAL, Misztal I.

J Dairy Sci. 2019 Mar;102(3):2330-2335. doi: 10.3168/jds.2018-15554. Epub 2019 Jan 11.

17.

Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle.

Oliveira HR, Lourenco DAL, Masuda Y, Misztal I, Tsuruta S, Jamrozik J, Brito LF, Silva FF, Schenkel FS.

J Dairy Sci. 2019 Mar;102(3):2365-2377. doi: 10.3168/jds.2018-15466. Epub 2019 Jan 11.

18.

Variance and covariance estimates for resistance to bacterial cold water disease and columnaris disease in two rainbow trout breeding populations1.

Silva RMO, Evenhuis JP, Vallejo RL, Tsuruta S, Wiens GD, Martin KE, Parsons JE, Palti Y, Lourenco DAL, Leeds TD.

J Anim Sci. 2019 Mar 1;97(3):1124-1132. doi: 10.1093/jas/sky478.

PMID:
30576516
19.

Development of genomic predictions for harvest and carcass weight in channel catfish.

Garcia ALS, Bosworth B, Waldbieser G, Misztal I, Tsuruta S, Lourenco DAL.

Genet Sel Evol. 2018 Dec 14;50(1):66. doi: 10.1186/s12711-018-0435-5.

20.

Genetics and genomics of reproductive disorders in Canadian Holstein cattle.

Guarini AR, Lourenco DAL, Brito LF, Sargolzaei M, Baes CF, Miglior F, Misztal I, Schenkel FS.

J Dairy Sci. 2019 Feb;102(2):1341-1353. doi: 10.3168/jds.2018-15038. Epub 2018 Nov 22.

PMID:
30471913
21.

Bias in heritability estimates from genomic restricted maximum likelihood methods under different genotyping strategies.

Cesarani A, Pocrnic I, Macciotta NPP, Fragomeni BO, Misztal I, Lourenco DAL.

J Anim Breed Genet. 2019 Jan;136(1):40-50. doi: 10.1111/jbg.12367. Epub 2018 Nov 13.

PMID:
30426582
22.

Genomic prediction of lactation curves for milk, fat, protein, and somatic cell score in Holstein cattle.

Oliveira HR, Brito LF, Silva FF, Lourenco DAL, Jamrozik J, Schenkel FS.

J Dairy Sci. 2019 Jan;102(1):452-463. doi: 10.3168/jds.2018-15159. Epub 2018 Nov 1.

PMID:
30391177
23.

Genome-wide association study provides insights into genes related with horn development in Nelore beef cattle.

Stafuzza NB, Silva RMO, Peripolli E, Bezerra LAF, Lôbo RB, Magnabosco CU, Di Croce FA, Osterstock JB, Munari DP, Lourenco DAL, Baldi F.

PLoS One. 2018 Aug 30;13(8):e0202978. doi: 10.1371/journal.pone.0202978. eCollection 2018.

24.

Selanylimidazopyridine Prevents Lipopolysaccharide-Induced Depressive-Like Behavior in Mice by Targeting Neurotrophins and Inflammatory/Oxidative Mediators.

Domingues M, Casaril AM, Birmann PT, Lourenço DA, Vieira B, Begnini K, Lenardão EJ, Collares T, Seixas FK, Savegnago L.

Front Neurosci. 2018 Jul 19;12:486. doi: 10.3389/fnins.2018.00486. eCollection 2018.

25.

Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle.

Guarini AR, Lourenco DAL, Brito LF, Sargolzaei M, Baes CF, Miglior F, Misztal I, Schenkel FS.

J Dairy Sci. 2018 Sep;101(9):8076-8086. doi: 10.3168/jds.2017-14193. Epub 2018 Jun 21.

26.

Accurate genomic predictions for BCWD resistance in rainbow trout are achieved using low-density SNP panels: Evidence that long-range LD is a major contributing factor.

Vallejo RL, Silva RMO, Evenhuis JP, Gao G, Liu S, Parsons JE, Martin KE, Wiens GD, Lourenco DAL, Leeds TD, Palti Y.

J Anim Breed Genet. 2018 Jun 5. doi: 10.1111/jbg.12335. [Epub ahead of print]

PMID:
29869355
27.

Relationships among mortality, performance, and disorder traits in broiler chickens: a genetic and genomic approach.

Zhang X, Tsuruta S, Andonov S, Lourenco DAL, Sapp RL, Wang C, Misztal I.

Poult Sci. 2018 May 1;97(5):1511-1518. doi: 10.3382/ps/pex431.

28.

Reaction norm for yearling weight in beef cattle using single-step genomic evaluation.

Oliveira DP, Lourenco DAL, Tsuruta S, Misztal I, Santos DJA, de Araújo Neto FR, Aspilcueta-Borquis RR, Baldi F, Carvalheiro R, de Camargo GMF, Albuquerque LG, Tonhati H.

J Anim Sci. 2018 Feb 15;96(1):27-34. doi: 10.1093/jas/skx006.

29.

Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data.

Tonussi RL, Silva RMO, Magalhães AFB, Espigolan R, Peripolli E, Olivieri BF, Feitosa FLB, Lemos MVA, Berton MP, Chiaia HLJ, Pereira ASC, Lôbo RB, Bezerra LAF, Magnabosco CU, Lourenço DAL, Aguilar I, Baldi F.

PLoS One. 2017 Sep 28;12(9):e0181752. doi: 10.1371/journal.pone.0181752. eCollection 2017.

30.

Erratum to: Incorporation of causative quantitative trait nucleotides in single-step GBLUP.

Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I.

Genet Sel Evol. 2017 Aug 24;49(1):65. doi: 10.1186/s12711-017-0341-2. No abstract available.

31.

Implications of SNP weighting on single-step genomic predictions for different reference population sizes.

Lourenco DAL, Fragomeni BO, Bradford HL, Menezes IR, Ferraz JBS, Aguilar I, Tsuruta S, Misztal I.

J Anim Breed Genet. 2017 Dec;134(6):463-471. doi: 10.1111/jbg.12288. Epub 2017 Aug 22.

PMID:
28833593
32.

Technical note: Impact of pedigree depth on convergence of single-step genomic BLUP in a purebred swine population.

Pocrnic I, Lourenco DAL, Bradford HL, Chen CY, Misztal I.

J Anim Sci. 2017 Aug;95(8):3391-3395. doi: 10.2527/jas.2017.1581.

PMID:
28805917
33.

Incorporation of causative quantitative trait nucleotides in single-step GBLUP.

Fragomeni BO, Lourenco DAL, Masuda Y, Legarra A, Misztal I.

Genet Sel Evol. 2017 Jul 26;49(1):59. doi: 10.1186/s12711-017-0335-0. Erratum in: Genet Sel Evol. 2017 Aug 24;49(1):65.

34.

Genomic analysis of cow mortality and milk production using a threshold-linear model.

Tsuruta S, Lourenco DAL, Misztal I, Lawlor TJ.

J Dairy Sci. 2017 Sep;100(9):7295-7305. doi: 10.3168/jds.2017-12665. Epub 2017 Jun 21.

35.

Selection of core animals in the Algorithm for Proven and Young using a simulation model.

Bradford HL, Pocrnić I, Fragomeni BO, Lourenco DAL, Misztal I.

J Anim Breed Genet. 2017 Dec;134(6):545-552. doi: 10.1111/jbg.12276. Epub 2017 May 2.

PMID:
28464315
36.

Accuracy of breeding values in small genotyped populations using different sources of external information-A simulation study.

Andonov S, Lourenco DAL, Fragomeni BO, Masuda Y, Pocrnic I, Tsuruta S, Misztal I.

J Dairy Sci. 2017 Jan;100(1):395-401. doi: 10.3168/jds.2016-11335. Epub 2016 Oct 27.

37.

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient.

Masuda Y, Misztal I, Legarra A, Tsuruta S, Lourenco DA, Fragomeni BO, Aguilar I.

J Anim Sci. 2017 Jan;95(1):49-52. doi: 10.2527/jas.2016.0699.

PMID:
28177357
38.

Using single-step genomic best linear unbiased predictor to enhance the mitigation of seasonal losses due to heat stress in pigs.

Fragomeni BO, Lourenco DA, Tsuruta S, Bradford HL, Gray KA, Huang Y, Misztal I.

J Anim Sci. 2016 Dec;94(12):5004-5013. doi: 10.2527/jas.2016-0820.

PMID:
28046178
39.

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.

J Anim Sci. 2016 Nov;94(11):4789-4798. doi: 10.2527/jas.2016-0536.

PMID:
27898949
40.

Sexual dimorphism in livestock species selected for economically important traits.

van der Heide EM, Lourenco DA, Chen CY, Herring WO, Sapp RL, Moser DW, Tsuruta S, Masuda Y, Ducro BJ, Misztal I.

J Anim Sci. 2016 Sep;94(9):3684-3692. doi: 10.2527/jas.2016-0393.

PMID:
27898906
41.

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.

J Anim Sci. 2016 Sep;94(9):3613-3623. doi: 10.2527/jas.2016-0401.

PMID:
27898889
42.

Regional and seasonal analyses of weights in growing Angus cattle.

Bradford HL, Fragomeni BO, Bertrand JK, Lourenco DA, Misztal I.

J Anim Sci. 2016 Oct;94(10):4369-4375. doi: 10.2527/jas.2016-0683.

PMID:
27898859
43.

Genetic evaluations for growth heat tolerance in Angus cattle.

Bradford HL, Fragomeni BO, Bertrand JK, Lourenco DA, Misztal I.

J Anim Sci. 2016 Oct;94(10):4143-4150. doi: 10.2527/jas.2016-0707.

PMID:
27898850
44.
45.

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.

J Anim Sci. 2016 Mar;94(3):909-19. doi: 10.2527/jas.2015-9748.

PMID:
27065253
46.

The Dimensionality of Genomic Information and Its Effect on Genomic Prediction.

Pocrnic I, Lourenco DA, Masuda Y, Legarra A, Misztal I.

Genetics. 2016 May;203(1):573-81. doi: 10.1534/genetics.116.187013. Epub 2016 Mar 4.

47.

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.

J Dairy Sci. 2016 Mar;99(3):1968-1974. doi: 10.3168/jds.2015-10540. Epub 2016 Jan 21.

48.

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.

Genet Sel Evol. 2015 Jul 2;47:56. doi: 10.1186/s12711-015-0137-1.

49.

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.

J Anim Sci. 2015 Jun;93(6):2653-62. doi: 10.2527/jas.2014-8836.

PMID:
26115253
50.

Genotype by environment interactions on culling rates and 305-day milk yield of Holstein cows in 3 US regions.

Tsuruta S, Lourenco DA, Misztal I, Lawlor TJ.

J Dairy Sci. 2015 Aug;98(8):5796-805. doi: 10.3168/jds.2014-9242. Epub 2015 May 28.

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