Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Text availability
Article attribute
Article type
Publication date

Search Results

93 results
Filters applied: . Clear all Results are displayed in a computed author sort order. Results by year timeline is unavailable
Page 1
Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation.
de Los Campos G, Gianola D. de Los Campos G, et al. Genet Sel Evol. 2007 Sep-Oct;39(5):481-94. doi: 10.1186/1297-9686-39-5-481. Epub 2007 Sep 27. Genet Sel Evol. 2007. PMID: 17897592 Free PMC article.
Use of genotype × environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle.
Yao C, de Los Campos G, VandeHaar MJ, Spurlock DM, Armentano LE, Coffey M, de Haas Y, Veerkamp RF, Staples CR, Connor EE, Wang Z, Hanigan MD, Tempelman RJ, Weigel KA. Yao C, et al. Among authors: de los campos g, de haas y. J Dairy Sci. 2017 Mar;100(3):2007-2016. doi: 10.3168/jds.2016-11606. Epub 2017 Jan 18. J Dairy Sci. 2017. PMID: 28109605
Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle.
Weigel KA, de Los Campos G, Vazquez AI, Rosa GJ, Gianola D, Van Tassell CP. Weigel KA, et al. Among authors: de los campos g. J Dairy Sci. 2010 Nov;93(11):5423-35. doi: 10.3168/jds.2010-3149. J Dairy Sci. 2010. PMID: 20965358
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. Weigel KA, et al. Among authors: de los campos g. J Dairy Sci. 2009 Oct;92(10):5248-57. doi: 10.3168/jds.2009-2092. J Dairy Sci. 2009. PMID: 19762843
A dynamic linear model for genetic analysis of longitudinal traits.
Forni S, Gianola D, Rosa GJ, de Los Campos G. Forni S, et al. Among authors: de los campos g. J Anim Sci. 2009 Dec;87(12):3845-53. doi: 10.2527/jas.2008-1514. Epub 2009 Aug 14. J Anim Sci. 2009. PMID: 19684262
Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation.
de Los Campos G, Gianola D, Rosa GJ. de Los Campos G, et al. J Anim Sci. 2009 Jun;87(6):1883-7. doi: 10.2527/jas.2008-1259. Epub 2009 Feb 11. J Anim Sci. 2009. PMID: 19213705
Inferring relationships between somatic cell score and milk yield using simultaneous and recursive models.
Wu XL, Heringstad B, Chang YM, de Los Campos G, Gianola D. Wu XL, et al. Among authors: de los campos g. J Dairy Sci. 2007 Jul;90(7):3508-21. doi: 10.3168/jds.2006-762. J Dairy Sci. 2007. PMID: 17582135
A structural equation model for describing relationships between somatic cell score and milk yield in dairy goats.
de los Campos G, Gianola D, Boettcher P, Moroni P. de los Campos G, et al. J Anim Sci. 2006 Nov;84(11):2934-41. doi: 10.2527/jas.2006-016. J Anim Sci. 2006. PMID: 17032786
A structural equation model for describing relationships between somatic cell score and milk yield in first-lactation dairy cows.
de los Campos G, Gianola D, Heringstad B. de los Campos G, et al. J Dairy Sci. 2006 Nov;89(11):4445-55. doi: 10.3168/jds.S0022-0302(06)72493-6. J Dairy Sci. 2006. PMID: 17033034
Estimates indicated that a mastitis event would reduce milk yield in the following 15 d by about 900 g/d. The estimated genetic (co)variances did not change sizably when the specification of recursive or simultaneous effects was varied. ...
Estimates indicated that a mastitis event would reduce milk yield in the following 15 d by about 900 g/d. The estimated genetic (co)v …
Genome-wide regression and prediction with the BGLR statistical package.
Pérez P, de los Campos G. Pérez P, et al. Among authors: de los campos g. Genetics. 2014 Oct;198(2):483-95. doi: 10.1534/genetics.114.164442. Epub 2014 Jul 9. Genetics. 2014. PMID: 25009151 Free PMC article.
Many modern genomic data analyses require implementing regressions where the number of parameters (p, e.g., the number of marker effects) exceeds sample size (n). ...
Many modern genomic data analyses require implementing regressions where the number of parameters (p, e.g., the number of marker effe …
93 results
Jump to page
Feedback