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Items: 27

1.

Network analysis of swine movements in a multi-site pig production system in Iowa, USA.

Passafaro TL, Fernandes AFA, Valente BD, Williams NH, Rosa GJM.

Prev Vet Med. 2019 Nov 20;174:104856. doi: 10.1016/j.prevetmed.2019.104856. [Epub ahead of print]

PMID:
31786406
2.

Including Phenotypic Causal Networks in Genome-Wide Association Studies Using Mixed Effects Structural Equation Models.

Momen M, Ayatollahi Mehrgardi A, Amiri Roudbar M, Kranis A, Mercuri Pinto R, Valente BD, Morota G, Rosa GJM, Gianola D.

Front Genet. 2018 Oct 9;9:455. doi: 10.3389/fgene.2018.00455. eCollection 2018.

3.

Causal effect of prolificacy on milk yield in dairy sheep using propensity score.

Ferreira VC, Thomas DL, Valente BD, Rosa GJM.

J Dairy Sci. 2017 Oct;100(10):8443-8450. doi: 10.3168/jds.2017-12907. Epub 2017 Aug 2.

4.

Evaluation of longevity modeling censored records in Nellore.

Garcia DA, Rosa GJM, Valente BD, Carvalheiro R, Fernandes Júnior GA, Albuquerque LG.

Animal. 2017 Dec;11(12):2113-2119. doi: 10.1017/S1751731117001136. Epub 2017 May 23.

PMID:
28534726
5.

A predictive assessment of genetic correlations between traits in chickens using markers.

Momen M, Mehrgardi AA, Sheikhy A, Esmailizadeh A, Fozi MA, Kranis A, Valente BD, Rosa GJ, Gianola D.

Genet Sel Evol. 2017 Feb 1;49(1):16. doi: 10.1186/s12711-017-0290-9.

6.

Inferring phenotypic causal structures among meat quality traits and the application of a structural equation model in Japanese Black cattle.

Inoue K, Valente BD, Shoji N, Honda T, Oyama K, Rosa GJ.

J Anim Sci. 2016 Oct;94(10):4133-4142. doi: 10.2527/jas.2016-0554.

PMID:
27898842
7.

Accuracy of genomic breeding values for meat tenderness in Polled Nellore cattle.

Magnabosco CU, Lopes FB, Fragoso RC, Eifert EC, Valente BD, Rosa GJ, Sainz RD.

J Anim Sci. 2016 Jul;94(7):2752-60. doi: 10.2527/jas.2016-0279.

PMID:
27482662
8.

Comparison of models for the genetic evaluation of reproductive traits with censored data in Nellore cattle.

Garcia DA, Rosa GJ, Valente BD, Carvalheiro R, Albuquerque LG.

J Anim Sci. 2016 Jun;94(6):2297-306. doi: 10.2527/jas.2016-0273.

PMID:
27285907
9.

Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens.

Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

Genet Sel Evol. 2016 Feb 3;48:10. doi: 10.1186/s12711-016-0187-z.

10.

Genomic prediction of breeding values for carcass traits in Nellore cattle.

Fernandes Júnior GA, Rosa GJ, Valente BD, Carvalheiro R, Baldi F, Garcia DA, Gordo DG, Espigolan R, Takada L, Tonussi RL, de Andrade WB, Magalhães AF, Chardulo LA, Tonhati H, de Albuquerque LG.

Genet Sel Evol. 2016 Jan 29;48:7. doi: 10.1186/s12711-016-0188-y.

11.

Searching for causal networks involving latent variables in complex traits: Application to growth, carcass, and meat quality traits in pigs.

Peñagaricano F, Valente BD, Steibel JP, Bates RO, Ernst CW, Khatib H, Rosa GJ.

J Anim Sci. 2015 Oct;93(10):4617-23. doi: 10.2527/jas.2015-9213.

PMID:
26523553
12.

Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic data.

Peñagaricano F, Valente BD, Steibel JP, Bates RO, Ernst CW, Khatib H, Rosa GJ.

BMC Syst Biol. 2015 Sep 16;9:58. doi: 10.1186/s12918-015-0207-6.

13.

Causal relationships between milk quality and coagulation properties in Italian Holstein-Friesian dairy cattle.

Tiezzi F, Valente BD, Cassandro M, Maltecca C.

Genet Sel Evol. 2015 May 13;47:45. doi: 10.1186/s12711-015-0123-7.

14.

The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models.

Valente BD, Morota G, Peñagaricano F, Gianola D, Weigel K, Rosa GJ.

Genetics. 2015 Jun;200(2):483-94. doi: 10.1534/genetics.114.169490. Epub 2015 Apr 23.

15.

Assessment of bagging GBLUP for whole-genome prediction of broiler chicken traits.

Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

J Anim Breed Genet. 2015 Jun;132(3):218-28. doi: 10.1111/jbg.12131. Epub 2015 Mar 1.

PMID:
25727456
16.

Using multiple regression, Bayesian networks and artificial neural networks for prediction of total egg production in European quails based on earlier expressed phenotypes.

Felipe VP, Silva MA, Valente BD, Rosa GJ.

Poult Sci. 2015 Apr;94(4):772-80. doi: 10.3382/ps/pev031. Epub 2015 Feb 22.

PMID:
25713397
17.

Dissection of additive genetic variability for quantitative traits in chickens using SNP markers.

Abdollahi-Arpanahi R, Pakdel A, Nejati-Javaremi A, Moradi Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

J Anim Breed Genet. 2014 Jun;131(3):183-93. doi: 10.1111/jbg.12079. Epub 2014 Jan 25.

PMID:
24460953
18.

Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context.

Bouwman AC, Valente BD, Janss LL, Bovenhuis H, Rosa GJ.

Genet Sel Evol. 2014 Jan 17;46:2. doi: 10.1186/1297-9686-46-2.

19.

Effect of allele frequencies, effect sizes and number of markers on prediction of quantitative traits in chickens.

Abdollahi-Arpanahi R, Nejati-Javaremi A, Pakdel A, Moradi-Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

J Anim Breed Genet. 2014 Apr;131(2):123-33. doi: 10.1111/jbg.12075. Epub 2014 Jan 8.

PMID:
24397350
20.

Estimates of genetic parameters and eigenvector indices for milk production of Holstein cows.

Savegnago RP, Rosa GJM, Valente BD, Herrera LGG, Carneiro RLR, Sesana RC, El Faro L, Munari DP.

J Dairy Sci. 2013;96(11):7284-7293. doi: 10.3168/jds.2013-6708. Epub 2013 Sep 18.

21.

Mixed effects structural equation models and phenotypic causal networks.

Valente BD, de Magalhães Rosa GJ.

Methods Mol Biol. 2013;1019:449-64. doi: 10.1007/978-1-62703-447-0_21.

PMID:
23756905
22.

Is structural equation modeling advantageous for the genetic improvement of multiple traits?

Valente BD, Rosa GJ, Gianola D, Wu XL, Weigel K.

Genetics. 2013 Jul;194(3):561-72. doi: 10.1534/genetics.113.151209. Epub 2013 Apr 22.

23.

Breeding and Genetics Symposium: inferring causal effects from observational data in livestock.

Rosa GJ, Valente BD.

J Anim Sci. 2013 Feb;91(2):553-64. doi: 10.2527/jas.2012-5840. Epub 2012 Dec 10. Review.

PMID:
23230107
24.

An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network.

Morota G, Valente BD, Rosa GJ, Weigel KA, Gianola D.

J Anim Breed Genet. 2012 Dec;129(6):474-87. doi: 10.1111/jbg.12002. Epub 2012 Sep 13.

PMID:
23148973
25.

Searching for phenotypic causal networks involving complex traits: an application to European quail.

Valente BD, Rosa GJ, Silva MA, Teixeira RB, Torres RA.

Genet Sel Evol. 2011 Nov 2;43:37. doi: 10.1186/1297-9686-43-37.

26.

Inferring causal phenotype networks using structural equation models.

Rosa GJ, Valente BD, de los Campos G, Wu XL, Gianola D, Silva MA.

Genet Sel Evol. 2011 Feb 10;43:6. doi: 10.1186/1297-9686-43-6.

27.

Searching for recursive causal structures in multivariate quantitative genetics mixed models.

Valente BD, Rosa GJ, de Los Campos G, Gianola D, Silva MA.

Genetics. 2010 Jun;185(2):633-44. doi: 10.1534/genetics.109.112979. Epub 2010 Mar 29.

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