Daniel Gianola

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Kent WeigelUniversity of WisconsinVerified email at wisc.edu
Guilherme J. M. RosaUniversity of Wisconsin-MadisonVerified email at wisc.edu
Jean-Louis FoulleyInstitut montpellierain Alexander Grothendieck 34095 Montpellier Cedex 5Verified email at math.cnrs.fr
Gustavo de los CamposEpidemiology & Biostatstics, Statistics & Probability, and IQ-institute, Michigan State University.Verified email at msu.edu
Rohan FernandoIowa State UniversityVerified email at iastate.edu
Bjorg HeringstadProfessor, Norwegian University of Life SciencesVerified email at nmbu.no
Yu-Mei Ruby ChangThe Royal Veterinary CollegeVerified email at rvc.ac.uk
Jose CrossaBiometricianVerified email at cgiar.org
Paulino PérezColegio de PostgraduadosVerified email at colpos.mx
Hugo NayaInstitut Pasteur MontevideoVerified email at pasteur.edu.uy
Oscar González-RecioINIA-CSICVerified email at inia.csic.es
Gota MorotaVirginia Polytechnic Institute and State University,Verified email at vt.edu
Just JensenProfessor, Aarhus UniversityVerified email at mbg.au.dk
Henner SimianerProfessor of Animal Breeding and Genetics, Georg-August University GoettingenVerified email at gwdg.de
Nanye LongResearch Specialist at ICER, Michigan State UniversityVerified email at msu.edu
Bruno ValenteStatistical Geneticist - Genus-PICVerified email at genusplc.com
Osval A. Montesinos-LópezProfessor, Facutad de Telemática, Universidad de Colima.Verified email at ucol.mx
Eduardo ManfrediDirector of Research, INRA, FranceVerified email at toulouse.inra.fr
Ignacy MisztalD. W. Brooks Distinguished Professor of Animal Breeding and Genetics, University of GeorgiaVerified email at uga.edu
Ravi SinghCIMMYTVerified email at cgiar.org

Daniel Gianola

Sewall Wright Emeritus Professor University of Wisconsin-Madison

Verified email at ansci.wisc.edu

Animal Genetics Animal Breeding Genomic Selection Quantitative Genetics and Genomics Prediction


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Likelihood, Bayesian and MCMC Methods in Quantitative Genetics D Sorensen, D Gianola Springer, 2002	1304	2002
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers J Crossa, G Campos, P Pérez, D Gianola, J Burgueno, JL Araus, ... Genetics 186 (2), 713-724, 2010	842	2010
Sire evaluation for ordered categorical data with a threshold model D Gianola, JL Foulley Genetique Selection Evolution 15 (2), 201-224, 1983	806	1983
Predicting quantitative traits with regression models for dense molecular markers and pedigree G De Los Campos, H Naya, D Gianola, J Crossa, A Legarra, E Manfredi, ... Genetics 182 (1), 375-385, 2009	713	2009
Theory and analysis of threshold characters D Gianola Journal of animal Science 54 (5), 1079-1096, 1982	577	1982
Additive genetic variability and the Bayesian alphabet D Gianola, G de Los Campos, WG Hill, E Manfredi, R Fernando Genetics 183 (1), 347-363, 2009	567	2009
Genomic-assisted prediction of genetic value with semiparametric procedures D Gianola, RL Fernando, A Stella Genetics 173 (3), 1761-1776, 2006	519	2006
Bayesian inference in threshold models using Gibbs sampling DA Sorensen, S Andersen, D Gianola, I Korsgaard Genetics Selection Evolution 27 (3), 229-249, 1995	489	1995
Bayesian methods in animal breeding theory D Gianola, RL Fernando Journal of Animal Science 63 (1), 217-244, 1986	484	1986
Priors in whole-genome regression: the Bayesian alphabet returns D Gianola Genetics 194 (3), 573-596, 2013	472	2013
Reproducing kernel Hilbert spaces regression methods for genomic assisted prediction of quantitative traits D Gianola, JB Van Kaam Genetics 178 (4), 2289-2303, 2008	455	2008
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods G de Los Campos, D Gianola, GJM Rosa, KA Weigel, J Crossa Genetics research 92 (4), 295-308, 2010	348	2010
Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs CS Wang, JJ Rutledge, D Gianola Genetics Selection Evolution 26 (2), 91-115, 1994	299	1994
Genomic heritability: what is it? G de Los Campos, D Sorensen, D Gianola PLoS Genetics 11 (5), e1005048, 2015	297	2015
Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat D Gianola, H Okut, KA Weigel, GJM Rosa BMC genetics 12, 1-14, 2011	280	2011
Predicting genetic predisposition in humans: the promise of whole-genome markers G De Los Campos, D Gianola, DB Allison Nature Reviews Genetics 11 (12), 880-886, 2010	279	2010
Genomic‐enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R P Pérez, G de Los Campos, J Crossa, D Gianola The plant genome 3 (2), 2010	256	2010
Marginal inferences about variance components in a mixed linear model using Gibbs sampling CS Wang, JJ Rutledge, D Gianola Genetics Selection Evolution 25 (1), 41-62, 1993	253	1993
Quantitative genetic models for describing simultaneous and recursive relationships between phenotypes D Gianola, D Sorensen Genetics 167 (3), 1407-1424, 2004	234	2004
Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat P Pérez-Rodríguez, D Gianola, JM González-Camacho, J Crossa, ... G3: Genes\| Genomes\| Genetics 2 (12), 1595-1605, 2012	231	2012

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