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Items: 16

1.

Effect of inclusion or non-inclusion of short lactations and cow and/or dam genetic group on genetic evaluation of Girolando dairy cattle.

Canaza-Cayo AW, Silva MV, Cobuci JA, Martins MF, Lopes PS.

Genet Mol Res. 2016 Apr 4;15(2). doi: 10.4238/gmr.15027768.

PMID:
27173198
2.

Random Regression Models Are Suitable to Substitute the Traditional 305-Day Lactation Model in Genetic Evaluations of Holstein Cattle in Brazil.

Padilha AH, Cobuci JA, Costa CN, Neto JB.

Asian-Australas J Anim Sci. 2016 Jun;29(6):759-67. doi: 10.5713/ajas.15.0498. Epub 2015 Sep 10.

3.

Genetic parameters for test day somatic cell score in Brazilian Holstein cattle.

Costa CN, Santos GG, Cobuci JA, Thompson G, Carvalheira JG.

Genet Mol Res. 2015 Dec 29;14(4):19117-27. doi: 10.4238/2015.December.29.21.

4.

Population genetic structure in the Holstein breed in Brazil.

Magalhães Araújo da Silva MH, Malhado CH, Costa JL Jr, Cobuci JA, Costa CN, Carneiro PL.

Trop Anim Health Prod. 2016 Feb;48(2):331-6. doi: 10.1007/s11250-015-0956-7. Epub 2015 Nov 19.

PMID:
26584942
5.

Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle.

Canaza-Cayo AW, Lopes PS, da Silva MV, de Almeida Torres R, Martins MF, Arbex WA, Cobuci JA.

Asian-Australas J Anim Sci. 2015 Oct;28(10):1407-18. doi: 10.5713/ajas.14.0620.

6.

Genetic parameters for linear type traits and milk, fat, and protein production in holstein cows in Brazil.

Campos RV, Cobuci JA, Kern EL, Costa CN, McManus CM.

Asian-Australas J Anim Sci. 2015 Apr;28(4):476-84. doi: 10.5713/ajas.14.0288.

7.

Georeferenced evaluation of genetic breeding value patterns in Brazilian Holstein cattle.

Costa NS, Hermuche P, Cobuci JA, Paiva SR, Guimaraes RF, Carvalho OA Jr, Gomes RA, Costa CN, McManus CM.

Genet Mol Res. 2014 Nov 27;13(4):9806-16. doi: 10.4238/2014.November.27.8.

8.

Factor analysis of linear type traits and their relation with longevity in brazilian holstein cattle.

Kern EL, Cobuci JA, Costa CN, Pimentel CM.

Asian-Australas J Anim Sci. 2014 Jun;27(6):784-90. doi: 10.5713/ajas.2013.13817.

9.

Origins and genetic diversity of British cattle breeds in Brazil assessed by pedigree analyses.

Piccoli ML, Braccini Neto J, Brito FV, Campos LT, Bértoli CD, Campos GS, Cobuci JA, McManus CM, Barcellos JO, Gama LT.

J Anim Sci. 2014 May;92(5):1920-30. doi: 10.2527/jas.2013-7283. Epub 2014 Mar 26.

10.

Bioeconomic model and selection indices in Aberdeen Angus cattle.

Campos GS, Braccini Neto J, Oaigen RP, Cardoso FF, Cobuci JA, Kern EL, Campos LT, Bertoli CD, McManus CM.

J Anim Breed Genet. 2014 Aug;131(4):305-12. doi: 10.1111/jbg.12069. Epub 2014 Jan 20.

PMID:
24438200
11.

In-depth pedigree analysis in a large Brazilian Nellore herd.

Brito FV, Sargolzaei M, Braccini Neto J, Cobuci JA, Pimentel CM, Barcellos J, Schenkel FS.

Genet Mol Res. 2013 Nov 22;12(4):5758-65. doi: 10.4238/2013.November.22.2.

12.

Genetic parameters for five traits in Africanized honeybees using Bayesian inference.

Padilha AH, Sattler A, Cobuci JA, McManus CM.

Genet Mol Biol. 2013 Jul;36(2):207-13. doi: 10.1590/S1415-47572013005000016. Epub 2013 Apr 19.

13.

Genetic parameters for type classification of Nelore cattle on central performance tests at pasture in Brazil.

Lima PR, Paiva SR, Cobuci JA, Braccini Neto J, Machado CH, McManus C.

Trop Anim Health Prod. 2013 Oct;45(7):1627-34. doi: 10.1007/s11250-013-0408-1. Epub 2013 Apr 9.

PMID:
23568619
14.

Association of the polymorphism g.8514C>T in the osteopontin gene (SPP1) with milk yield in the dairy cattle breed Girolando.

de Mello F, Cobuci JA, Martins MF, Silva MV, Neto JB.

Anim Genet. 2012 Oct;43(5):647-8. doi: 10.1111/j.1365-2052.2011.02312.x. Epub 2012 Jan 16. No abstract available.

PMID:
22497493
15.

Box-Cox Transformation and Random Regression Models for Fecal egg Count Data.

da Silva MV, Van Tassell CP, Sonstegard TS, Cobuci JA, Gasbarre LC.

Front Genet. 2012 Jan 24;2:112. doi: 10.3389/fgene.2011.00112. eCollection 2011.

16.

Accuracy of genomic selection in simulated populations mimicking the extent of linkage disequilibrium in beef cattle.

Brito FV, Neto JB, Sargolzaei M, Cobuci JA, Schenkel FS.

BMC Genet. 2011 Sep 20;12:80. doi: 10.1186/1471-2156-12-80.

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