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Structural equation models to disentangle the biological relationship between microbiota and complex traits: Methane production in dairy cattle as a case of study.

Saborío-Montero A, Gutiérrez-Rivas M, García-Rodríguez A, Atxaerandio R, Goiri I, López de Maturana E, Jiménez-Montero JA, Alenda R, González-Recio O.

J Anim Breed Genet. 2019 Oct 15. doi: 10.1111/jbg.12444. [Epub ahead of print]


Comparison Between Non-Invasive Methane Measurement Techniques in Cattle.

Rey J, Atxaerandio R, Ruiz R, Ugarte E, González-Recio O, Garcia-Rodriguez A, Goiri I.

Animals (Basel). 2019 Aug 15;9(8). pii: E563. doi: 10.3390/ani9080563.


Corrigendum to "On the value of the phenotypes in the genomic era" (J. Dairy Sci. 97:7905-7915).

Gonzalez-Recio O, Coffey MP, Pryce JE.

J Dairy Sci. 2019 Jun;102(6):5764. doi: 10.3168/jds.2019-102-6-5764. No abstract available.


Changes in the rumen and colon microbiota and effects of live yeast dietary supplementation during the transition from the dry period to lactation of dairy cows.

Bach A, López-García A, González-Recio O, Elcoso G, Fàbregas F, Chaucheyras-Durand F, Castex M.

J Dairy Sci. 2019 Jul;102(7):6180-6198. doi: 10.3168/jds.2018-16105. Epub 2019 May 2.


Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattle.

Delgado B, Bach A, Guasch I, González C, Elcoso G, Pryce JE, Gonzalez-Recio O.

Sci Rep. 2019 Jan 9;9(1):11. doi: 10.1038/s41598-018-36673-w.


Comparison of Mothur and QIIME for the Analysis of Rumen Microbiota Composition Based on 16S rRNA Amplicon Sequences.

López-García A, Pineda-Quiroga C, Atxaerandio R, Pérez A, Hernández I, García-Rodríguez A, González-Recio O.

Front Microbiol. 2018 Dec 13;9:3010. doi: 10.3389/fmicb.2018.03010. eCollection 2018.


Expected consequences of including methane footprint into the breeding goals in beef cattle. A Spanish Blonde d'Aquitaine population as a case of study.

López-Paredes J, Alenda R, González-Recio O.

J Anim Breed Genet. 2018 Oct;135(5):366-377. doi: 10.1111/jbg.12350. Epub 2018 Jul 23.


Evaluating Protocols for Porcine Faecal Microbiome Recollection, Storage and DNA Extraction: from the Farm to the Lab.

Muiños-Bühl A, González-Recio O, Muñoz M, Óvilo C, García-Casco J, Fernández AI.

Curr Microbiol. 2018 Jun;75(6):651-657. doi: 10.1007/s00284-017-1429-1. Epub 2018 Jan 9.


Short communication: Signs of host genetic regulation in the microbiome composition in 2 dairy breeds: Holstein and Brown Swiss.

Gonzalez-Recio O, Zubiria I, García-Rodríguez A, Hurtado A, Atxaerandio R.

J Dairy Sci. 2018 Mar;101(3):2285-2292. doi: 10.3168/jds.2017-13179. Epub 2017 Dec 21.


Including nonadditive genetic effects in mating programs to maximize dairy farm profitability.

Aliloo H, Pryce JE, González-Recio O, Cocks BG, Goddard ME, Hayes BJ.

J Dairy Sci. 2017 Feb;100(2):1203-1222. doi: 10.3168/jds.2016-11261. Epub 2016 Dec 9.


Response: Commentary: Past, present and future of epigenetics applied to livestock breeding.

González-Recio O, Toro MA, Bach A.

Front Genet. 2016 Jun 7;7:101. doi: 10.3389/fgene.2016.00101. eCollection 2016. No abstract available.


Associated effects of copy number variants on economically important traits in Spanish Holstein dairy cattle.

Ben Sassi N, González-Recio Ó, de Paz-Del Río R, Rodríguez-Ramilo ST, Fernández AI.

J Dairy Sci. 2016 Aug;99(8):6371-6380. doi: 10.3168/jds.2015-10487. Epub 2016 May 18.


Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.

Aliloo H, Pryce JE, González-Recio O, Cocks BG, Hayes BJ.

Genet Sel Evol. 2016 Feb 1;48:8. doi: 10.1186/s12711-016-0186-0.


Rare Variants in Transcript and Potential Regulatory Regions Explain a Small Percentage of the Missing Heritability of Complex Traits in Cattle.

Gonzalez-Recio O, Daetwyler HD, MacLeod IM, Pryce JE, Bowman PJ, Hayes BJ, Goddard ME.

PLoS One. 2015 Dec 7;10(12):e0143945. doi: 10.1371/journal.pone.0143945. eCollection 2015.


Improving the reliability of female fertility breeding values using type and milk yield traits that predict energy status in Australian Holstein cattle.

González-Recio O, Haile-Mariam M, Pryce JE.

J Dairy Sci. 2016 Jan;99(1):493-504. doi: 10.3168/jds.2015-10001. Epub 2015 Nov 5.


Past, present, and future of epigenetics applied to livestock breeding.

González-Recio O, Toro MA, Bach A.

Front Genet. 2015 Sep 28;6:305. doi: 10.3389/fgene.2015.00305. eCollection 2015. Review.


Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows.

Pryce JE, Gonzalez-Recio O, Nieuwhof G, Wales WJ, Coffey MP, Hayes BJ, Goddard ME.

J Dairy Sci. 2015 Oct;98(10):7340-50. doi: 10.3168/jds.2015-9621. Epub 2015 Aug 5.


Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows.

Aliloo H, Pryce JE, González-Recio O, Cocks BG, Hayes BJ.

BMC Genet. 2015 Jul 22;16:89. doi: 10.1186/s12863-015-0241-9.


On the value of the phenotypes in the genomic era.

Gonzalez-Recio O, Coffey MP, Pryce JE.

J Dairy Sci. 2014 Dec;97(12):7905-15. doi: 10.3168/jds.2014-8125. Epub 2014 Oct 13. Erratum in: J Dairy Sci. 2019 Jun;102(6):5764.


Fertility subindex for improving fertility performance in Iranian Holstein cows.

Ghiasi H, Pakdel A, Nejati-Javaremi A, González-Recio O.

Trop Anim Health Prod. 2015 Jan;47(1):67-71. doi: 10.1007/s11250-014-0686-2. Epub 2014 Oct 16.


Next generation modeling in GWAS: comparing different genetic architectures.

López de Maturana E, Ibáñez-Escriche N, González-Recio Ó, Marenne G, Mehrban H, Chanock SJ, Goddard ME, Malats N.

Hum Genet. 2014 Oct;133(10):1235-53. doi: 10.1007/s00439-014-1461-1. Epub 2014 Jun 17.


Incorporating heifer feed efficiency in the Australian selection index using genomic selection.

Gonzalez-Recio O, Pryce JE, Haile-Mariam M, Hayes BJ.

J Dairy Sci. 2014;97(6):3883-93. doi: 10.3168/jds.2013-7515. Epub 2014 Mar 27.


Combining genomic and genealogical information in a reproducing kernel Hilbert spaces regression model for genome-enabled predictions in dairy cattle.

Rodríguez-Ramilo ST, García-Cortés LA, González-Recio O.

PLoS One. 2014 Mar 26;9(3):e93424. doi: 10.1371/journal.pone.0093424. eCollection 2014.


Prediction of liveweight of cows from type traits and its relationship with production and fitness traits.

Haile-Mariam M, Gonzalez-Recio O, Pryce JE.

J Dairy Sci. 2014 May;97(5):3173-89. doi: 10.3168/jds.2013-7516. Epub 2014 Mar 13.


Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip.

Schrooten C, Dassonneville R, Ducrocq V, Brøndum RF, Lund MS, Chen J, Liu Z, González-Recio O, Pena J, Druet T.

Genet Sel Evol. 2014 Feb 4;46:10. doi: 10.1186/1297-9686-46-10.


Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traits.

Pryce JE, Gonzalez-Recio O, Thornhill JB, Marett LC, Wales WJ, Coffey MP, de Haas Y, Veerkamp RF, Hayes BJ.

J Dairy Sci. 2014;97(1):537-42. doi: 10.3168/jds.2013-7376. Epub 2013 Nov 13.


Assets of imputation to ultra-high density for productive and functional traits.

Jiménez-Montero JA, Gianola D, Weigel K, Alenda R, González-Recio O.

J Dairy Sci. 2013 Sep;96(9):6047-58. doi: 10.3168/jds.2013-6793. Epub 2013 Jun 28.


Reaction norm of fertility traits adjusted for protein and fat production level across lactations in Holstein cattle.

Menendez-Buxadera A, Carabaño MJ, Gonzalez-Recio O, Cue RI, Ugarte E, Alenda R.

J Dairy Sci. 2013 Jul;96(7):4653-65. doi: 10.3168/jds.2012-6255. Epub 2013 May 9.


Trans-generational effect of maternal lactation during pregnancy: a Holstein cow model.

González-Recio O, Ugarte E, Bach A.

PLoS One. 2012;7(12):e51816. doi: 10.1371/journal.pone.0051816. Epub 2012 Dec 20.


Genotyping strategies for genomic selection in small dairy cattle populations.

Jiménez-Montero JA, González-Recio O, Alenda R.

Animal. 2012 Aug;6(8):1216-24. doi: 10.1017/S1751731112000341.


Comparison of methods for the implementation of genome-assisted evaluation of Spanish dairy cattle.

Jiménez-Montero JA, González-Recio O, Alenda R.

J Dairy Sci. 2013 Jan;96(1):625-34. doi: 10.3168/jds.2012-5631. Epub 2012 Oct 24.


The gradient boosting algorithm and random boosting for genome-assisted evaluation in large data sets.

González-Recio O, Jiménez-Montero JA, Alenda R.

J Dairy Sci. 2013 Jan;96(1):614-24. doi: 10.3168/jds.2012-5630. Epub 2012 Oct 24.


Epigenetics: a new challenge in the post-genomic era of livestock.

González-Recio O.

Front Genet. 2012 Jan 9;2:106. doi: 10.3389/fgene.2011.00106. eCollection 2011. No abstract available.


Genome-wide prediction of discrete traits using Bayesian regressions and machine learning.

González-Recio O, Forni S.

Genet Sel Evol. 2011 Feb 17;43:7. doi: 10.1186/1297-9686-43-7.


Product versus additive model for studying artificial insemination results in several livestock populations.

David I, Carabaño MJ, Tusell L, Diaz C, González-Recio O, López de Maturana E, Piles M, Ugarte E, Bodin L.

J Anim Sci. 2011 Feb;89(2):321-8. doi: 10.2527/jas.2010-3167. Epub 2010 Oct 15.


L2-Boosting algorithm applied to high-dimensional problems in genomic selection.

González-Recio O, Weigel KA, Gianola D, Naya H, Rosa GJ.

Genet Res (Camb). 2010 Jun;92(3):227-37. doi: 10.1017/S0016672310000261.


Radial basis function regression methods for predicting quantitative traits using SNP markers.

Long N, Gianola D, Rosa GJ, Weigel KA, Kranis A, González-Recio O.

Genet Res (Camb). 2010 Jun;92(3):209-25. doi: 10.1017/S0016672310000157.


A comparison between different survival and threshold models with an application to piglet preweaning survival in a dry-cured ham-producing crossbred line.

Cecchinato A, González-Recio O, López de Maturana E, Gallo L, Carnier P.

J Anim Sci. 2010 Jun;88(6):1990-8. doi: 10.2527/jas.2009-2460. Epub 2010 Feb 26.


Machine learning in genome-wide association studies.

Szymczak S, Biernacka JM, Cordell HJ, González-Recio O, König IR, Zhang H, Sun YV.

Genet Epidemiol. 2009;33 Suppl 1:S51-7. doi: 10.1002/gepi.20473.


Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers.

Weigel KA, de los Campos G, González-Recio O, Naya H, Wu XL, Long N, Rosa GJ, Gianola D.

J Dairy Sci. 2009 Oct;92(10):5248-57. doi: 10.3168/jds.2009-2092.


Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens.

González-Recio O, Gianola D, Rosa GJ, Weigel KA, Kranis A.

Genet Sel Evol. 2009 Jan 5;41:3. doi: 10.1186/1297-9686-41-3.


Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers.

González-Recio O, Gianola D, Long N, Weigel KA, Rosa GJ, Avendaño S.

Genetics. 2008 Apr;178(4):2305-13. doi: 10.1534/genetics.107.084293.


Inbreeding depression on female fertility and calving ease in Spanish dairy cattle.

González-Recio O, López de Maturana E, Gutiérrez JP.

J Dairy Sci. 2007 Dec;90(12):5744-52.


Impact of calving ease on functional longevity and herd amortization costs in Basque Holsteins using survival analysis.

López de Maturana E, Ugarte E, González-Recio O.

J Dairy Sci. 2007 Sep;90(9):4451-7.


Genetic relationship of discrete-time survival with fertility and production in dairy cattle using bivariate models.

González-Recio O, Alenda R.

Genet Sel Evol. 2007 Jul-Aug;39(4):391-404. Epub 2007 Jul 6.


Selection for female fertility using censored fertility traits and investigation of the relationship with milk production.

González-Recio O, Alenda R, Chang YM, Weigel KA, Gianola D.

J Dairy Sci. 2006 Nov;89(11):4438-44.


Genetic and phenotypic relationships among locomotion type traits, profit, production, longevity, and fertility in Spanish dairy cows.

Pérez-Cabal MA, García C, González-Recio O, Alenda R.

J Dairy Sci. 2006 May;89(5):1776-83.


Number of inseminations to conception in Holstein cows using censored records and time-dependent covariates.

González-Recio O, Chang YM, Gianola D, Weigel KA.

J Dairy Sci. 2005 Oct;88(10):3655-62.

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