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Daniel Gianola

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TOP 3
A A Boligon; Daniel Gianola; N Long; L G Albuquerque; K A Weigel; G J M Rosa
Comparison of selective genotyping strategies for prediction of breeding values in a population undergoing selection.
G Morota; G J M Rosa; B D Valente; Kent Weigel; Daniel Gianola
An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network.
Ana I Vazquez; Nengjun Yi; Gustavo de Los Campos; Daniel Gianola; Yann C Klimentidis; G J M Rosa; David B Allison
A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

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All Publications

2012: A A Boligon; Daniel Gianola; N Long; L G Albuquerque; K A Weigel; G J M Rosa
Comparison of selective genotyping strategies for prediction of breeding values in a population undergoing selection.
Journal of animal science 2012;90(13):4716-22.
2012: G Morota; G J M Rosa; B D Valente; Kent Weigel; Daniel Gianola
An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2012;129(6):474-87.
2012: Ana I Vazquez; Nengjun Yi; Gustavo de Los Campos; Daniel Gianola; Yann C Klimentidis; G J M Rosa; David B Allison
A comprehensive genetic approach for improving prediction of skin cancer risk in humans.
Genetics 2012;192(4):1493-502.
2012: J M González-Camacho; G Mahuku; P Pérez; R Babu; J E Cairns; Gustavo de Los Campos; Daniel Gianola; J Crossa
Genome-enabled prediction of genetic values using radial basis function neural networks.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik 2012;125(4):759-71.
2012: Daniel Gianola; Eduardo Manfredi; Henner Simianer
On measures of association among genetic variables.
Animal genetics 2012;43 Suppl 1():19-35.
2012: Chuanyu Sun; Jeremy F Taylor; Kent A Weigel; Brent W Woodward; Xiao-Lin Wu; Stewart Bauck; G J M Rosa; Robert D Schnabel; Daniel Gianola
An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle.
Genetics research 2012;94(3):133-50.
2012: A I Vazquez; Daniel Gianola; Bjørg Heringstad; M A Perez-Cabal; M Rodrigues-Motta; G J M Rosa; K A Weigel
Predictive ability of alternative models for genetic analysis of clinical mastitis.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2012;129(2):120-8.
2012: Saber Qanbari; Tim M Strom; Frances Turner; Steffen Weigend; David W Burt; Almas A Gheyas; Daniel Gianola; Georg Haberer; Rudolf Preisinger; Henner Simianer
A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
PloS one 2012;7(11):e49525.
2012: Xiao-Lin Wu; Timothy M Beissinger; Natalia de Leon Gatti; G J M Rosa; Chuanyu Sun; Kent A Weigel; Daniel Gianola
Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics.
Genetics, selection, evolution : GSE 2012;44():29.
2012: Daniel Gianola; Guilherme J M Rosa; David Allison
Humble Thanks to a Gentle Giant (an Obituary for James F. Crow).
Frontiers in genetics 2012;3():93.
2012: Ulrike Ober; Stephen Richards; Martin Schlather; Julien F Ayroles; Daniel Gianola; Richard A Gibbs; Trudy F C Mackay; Eric A Stone; Christian Stricker; Dianhui Zhu; Henner Simianer
Using whole-genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
PLoS genetics 2012;8(5):e1002685.
2011: Nanye Long; Guilherme J M Rosa; Daniel Gianola; Kent A Weigel
Application of support vector regression to genome-assisted prediction of quantitative traits.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik 2011;123(7):1065-74.
2011: Nanye Long; Guilherme J M Rosa; Daniel Gianola; Kent A Weigel
Long-term impacts of genome-enabled selection.
Journal of applied genetics 2011;52(4):467-80.
2011: N Long; G J M Rosa; Daniel Gianola; Kent Weigel
Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2011;128(4):247-57.
2011: Nanye Long; Guilherme J M Rosa; Daniel Gianola; Kent A Weigel
Marker-assisted prediction of non-additive genetic values.
Genetica 2011;139(7):843-54.
2011: Xiao-Lin Wu; Guilherme J M Rosa; Kent A Weigel; Brent Woodward; Stewart Bauck; Timothy M Beissinger; Natalia de Leon Gatti; Daniel Gianola
A primer on high-throughput computing for genomic selection.
Frontiers in genetics 2011;2():4.
2011: Daniel Gianola; Hayrettin Okut; Kent A Weigel; Guilherme Jm Rosa
Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat.
BMC genetics 2011;12():87.
2011: G J M Rosa; Bruno D Valente; Gustavo de Los Campos; Xiao-Lin Wu; Daniel Gianola; Martinho A Silva
Inferring causal phenotype networks using structural equation models.
Genetics, selection, evolution : GSE 2011;43():6.
2010: A I Vazquez; G J M Rosa; Kent Weigel; Gustavo de Los Campos; Daniel Gianola; David Allison
Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins.
Journal of dairy science 2010;93(12):5942-9.
2010: Gustavo de Los Campos; Daniel Gianola; David Allison
Predicting genetic predisposition in humans: the promise of whole-genome markers.
Nature reviews. Genetics 2010;11(12):880-6.
2010: Kent Weigel; Gustavo de Los Campos; A I Vazquez; G J M Rosa; Daniel Gianola; C P Van Tassell
Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle.
Journal of dairy science 2010;93(11):5423-35.
2010: Daniel Gianola; Xiao-Lin Wu; Eduardo Manfredi; Henner Simianer
A non-parametric mixture model for genome-enabled prediction of genetic value for a quantitative trait.
Genetica 2010;138(9-10):959-77.
2010: Gustavo de Los Campos; Daniel Gianola; G J M Rosa; Kent A Weigel; José Crossa
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods.
Genetics research 2010;92(4):295-308.
2010: Oscar Gonzalez-Recio; Kent Weigel; Daniel Gianola; Hugo Naya; Guilherme J M Rosa
L2-Boosting algorithm applied to high-dimensional problems in genomic selection.
Genetics research 2010;92(3):227-37.
2010: Nanye Long; Daniel Gianola; G J M Rosa; Kent Weigel; Andreas Kranis; Oscar Gonzalez-Recio
Radial basis function regression methods for predicting quantitative traits using SNP markers.
Genetics research 2010;92(3):209-25.
2010: Bruno D Valente; G J M Rosa; Gustavo de Los Campos; Daniel Gianola; Martinho A Silva
Searching for recursive causal structures in multivariate quantitative genetics mixed models.
Genetics 2010;185(2):633-44.
2010: Daniel Gianola; Henner Simianer; Saber Qanbari
A two-step method for detecting selection signatures using genetic markers.
Genetics research 2010;92(2):141-55.
2010: Xiao-Lin Wu; Daniel Gianola; Guilherme J M Rosa; Kent A Weigel
Bayesian model averaging for evaluation of candidate gene effects.
Genetica 2010;138(3):395-407.
2010: Xiao-Lin Wu; Bjørg Heringstad; Daniel Gianola
Bayesian structural equation models for inferring relationships between phenotypes: a review of methodology, identifiability, and applications.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2010;127(1):3-15.
2010: A Cecchinato; Gustavo de Los Campos; Daniel Gianola; L Gallo; Paolo Carnier
The relevance of purebred information for predicting genetic merit of survival at birth of crossbred piglets.
Journal of animal science 2010;88(2):481-90.
2010: A I Vazquez; D M Bates; G J M Rosa; Daniel Gianola; Kent Weigel
Technical note: an R package for fitting generalized linear mixed models in animal breeding.
Journal of animal science 2010;88(2):497-504.
2010: Evangelina López de Maturana; Gustavo de Los Campos; Xiao-Lin Wu; Daniel Gianola; Kent A Weigel; G J M Rosa
Modeling relationships between calving traits: a comparison between standard and recursive mixed models.
Genetics, selection, evolution : GSE 2010;42():1.
2009: S Forni; Daniel Gianola; G J M Rosa
Predictive ability and covariance parameters of dynamic linear models for analysis of longitudinal traits.
Journal of animal science 2009;87(12):3854-64.
2009: S Forni; Daniel Gianola; G J M Rosa; Gustavo de Los Campos
A dynamic linear model for genetic analysis of longitudinal traits.
Journal of animal science 2009;87(12):3845-53.
2009: Daniel Gianola; Gustavo de Los Campos; William G Hill; Eduardo Manfredi; Rohan Fernando
Additive genetic variability and the Bayesian alphabet.
Genetics 2009;183(1):347-63.
2009: M A Pérez-Cabal; G de los Campos; A I Vazquez; Daniel Gianola; G J M Rosa; Kent Weigel; Rafael Alenda
Genetic evaluation of susceptibility to clinical mastitis in Spanish Holstein cows.
Journal of dairy science 2009;92(7):3472-80.
2009: E L de Maturana; Daniel Gianola; G J M Rosa; Kent Weigel
Predictive ability of models for calving difficulty in US Holsteins.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2009;126(3):179-88.
2009: Gustavo de Los Campos; Daniel Gianola; G J M Rosa
Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation.
Journal of animal science 2009;87(6):1883-7.
2009: Gustavo de Los Campos; Hugo Naya; Daniel Gianola; José Crossa; Andrés Legarra; Eduardo Manfredi; Kent Weigel; José Miguel Cotes
Predicting quantitative traits with regression models for dense molecular markers and pedigree.
Genetics 2009;182(1):375-85.
2009: Bjørg Heringstad; X-L Wu; Daniel Gianola
Inferring relationships between health and fertility in Norwegian Red cows using recursive models.
Journal of dairy science 2009;92(4):1778-84.
2009: Xiao-Lin Wu; Daniel Gianola; Kent Weigel
Bayesian joint mapping of quantitative trait loci for Gaussian and categorical characters in line crosses.
Genetica 2009;135(3):367-77.
2009: A I Vazquez; Daniel Gianola; D Bates; Kent Weigel; Bjørg Heringstad
Assessment of Poisson, logit, and linear models for genetic analysis of clinical mastitis in Norwegian Red cows.
Journal of dairy science 2009;92(2):739-48.
2009: Nanye Long; Daniel Gianola; G J M Rosa; Kent Weigel; Santiago Avendaño
Comparison of classification methods for detecting associations between SNPs and chick mortality.
Genetics, selection, evolution : GSE 2009;41():18.
2009: Oscar Gonzalez-Recio; Daniel Gianola; G J M Rosa; Kent Weigel; Andreas Kranis
Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens.
Genetics, selection, evolution : GSE 2009;41():3.
2009: Evangelina López de Maturana; Xiao-Lin Wu; Daniel Gianola; Kent A Weigel; G J M Rosa
Exploring biological relationships between calving traits in primiparous cattle with a Bayesian recursive model.
Genetics 2009;181(1):277-87.
2008: Daniel Gianola; Gustavo de Los Campos
Inferring genetic values for quantitative traits non-parametrically.
Genetics research 2008;90(6):525-40.
2008: N Long; Daniel Gianola; G J M Rosa; Kent Weigel; S Avendaño
Marker-assisted assessment of genotype by environment interaction: a case study of single nucleotide polymorphism-mortality association in broilers in two hygiene environments.
Journal of animal science 2008;86(12):3358-66.
2008: S König; Y M Chang; U U von Borstel; Daniel Gianola; Henner Simianer
Genetic and phenotypic relationships among milk urea nitrogen, fertility, and milk yield in holstein cows.
Journal of dairy science 2008;91(11):4372-82.
2008: Hugo Naya; Jorge I Urioste; Yu-Mei Chang; Mariana Rodrigues-Motta; Roberto Kremer; Daniel Gianola
A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep.
Genetics, selection, evolution : GSE 2008;40(4):379-94.
2008: Xiao-Lin Wu; Bjørg Heringstad; Daniel Gianola
Exploration of lagged relationships between mastitis and milk yield in dairy cows using a Bayesian structural equation Gaussian-threshold model.
Genetics, selection, evolution : GSE 2008;40(4):333-57.
2008: Oscar Gonzalez-Recio; Daniel Gianola; Nanye Long; Kent Weigel; Guilherme J M Rosa; Santiago Avendaño
Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers.
Genetics 2008;178(4):2305-13.
2008: Daniel Gianola; Johannes B C H M van Kaam
Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.
Genetics 2008;178(4):2289-303.
2008: S König; X L Wu; Daniel Gianola; Bjørg Heringstad; Henner Simianer
Exploration of relationships between claw disorders and milk yield in Holstein cows via recursive linear and threshold models.
Journal of dairy science 2008;91(1):395-406.
2008: Bjørg Heringstad; Yu-mei Chang; Daniel Gianola; Olav Østeras
Short communication: Genetic analysis of respiratory disease in Norwegian Red calves.
Journal of dairy science 2008;91(1):367-70.
2007: N Long; Daniel Gianola; G J M Rosa; K A Weigel; S Avendaño
Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2007;124(6):377-89.
2007: M Rodrigues-Motta; Daniel Gianola; Bjørg Heringstad; G J M Rosa; Yu-mei Chang
A zero-inflated poisson model for genetic analysis of the number of mastitis cases in Norwegian Red cows.
Journal of dairy science 2007;90(11):5306-15.
2007: Gustavo de Los Campos; Daniel Gianola
Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation.
Genetics, selection, evolution : GSE 2007;39(5):481-94.
2007: X-L Wu; Bjørg Heringstad; Yu-mei Chang; Gustavo de Los Campos; Daniel Gianola
Inferring relationships between somatic cell score and milk yield using simultaneous and recursive models.
Journal of dairy science 2007;90(7):3508-21.
2007: Bjørg Heringstad; Yu-mei Chang; Morten Svendsen; Daniel Gianola
Genetic analysis of calving difficulty and stillbirth in Norwegian Red cows.
Journal of dairy science 2007;90(7):3500-7.
2007: Yu-mei Chang; Daniel Gianola; Bjørg Heringstad; Gunnar Klemetsdal
A periodic analysis of longitudinal binary responses: a case study of clinical mastitis in Norwegian Red cows.
Genetics, selection, evolution : GSE 2007;39(3):249-65.
2007: D Gulisija; Daniel Gianola; Kent Weigel
Nonparametric analysis of the impact of inbreeding on production in Jersey cows.
Journal of dairy science 2007;90(1):493-500.
2007: Paul Boettcher; DZ Caraviello; Daniel Gianola
Genetic analysis of somatic cell scores in US Holsteins with a Bayesian mixture model.
Journal of dairy science 2007;90(1):435-4.
2006: DZ Caraviello; Kent Weigel; M Craven; Daniel Gianola; Nigel B Cook; Kenneth V Nordlund; Paul M Fricke; Milo C Wiltbank
Analysis of reproductive performance of lactating cows on large dairy farms using machine learning algorithms.
Journal of dairy science 2006;89(12):4703-22.
2006: Gustavo de Los Campos; Daniel Gianola; Bjørg Heringstad
A structural equation model for describing relationships between somatic cell score and milk yield in first-lactation dairy cows.
Journal of dairy science 2006;89(11):4445-55.
2006: Oscar Gonzalez-Recio; Rafael Alenda; Yu-mei Chang; Kent Weigel; Daniel Gianola
Selection for female fertility using censored fertility traits and investigation of the relationship with milk production.
Journal of dairy science 2006;89(11):4438-44.
2006: Bjørg Heringstad; IM Andersen-Ranberg; Yu-mei Chang; Daniel Gianola
Short communication: Genetic analysis of nonreturn rate and mastitis in first-lactation Norwegian Red cows.
Journal of dairy science 2006;89(11):4420-3.
2006: Gustavo de Los Campos; Daniel Gianola; Paul Boettcher; Paolo Moroni
A structural equation model for describing relationships between somatic cell score and milk yield in dairy goats.
Journal of animal science 2006;84(11):2934-41.
2006: Daniel Gianola; Henner Simianer
A Thurstonian model for quantitative genetic analysis of ranks: a Bayesian approach.
Genetics 2006;174(3):1613-24.
2006: Yu-mei Chang; Daniel Gianola; Bjørg Heringstad; Gunnar Klemetsdal
A comparison between multivariate Slash, Student's t and probit threshold models for analysis of clinical mastitis in first lactation cows.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2006;123(5):290-300.
2006: Bjørg Heringstad; Yu-mei Chang; IM Andersen-Ranberg; Daniel Gianola
Genetic analysis of number of mastitis cases and number of services to conception using a censored threshold model.
Journal of dairy science 2006;89(10):4042-8.
2006: Daniel Gianola; Bjørg Heringstad; Jorgen Odegaard
On the quantitative genetics of mixture characters.
Genetics 2006;173(4):2247-55.
2006: Daniel Gianola; Rohan L Fernando; Alessandra Stella
Genomic-assisted prediction of genetic value with semiparametric procedures.
Genetics 2006;173(3):1761-76.
2006: Bjørg Heringstad; Daniel Gianola; Yu-mei Chang; Jørgen Odegård; Gunnar Klemetsdal
Genetic associations between clinical mastitis and somatic cell score in early first-lactation cows.
Journal of dairy science 2006;89(6):2236-44.
2006: Yu-mei Chang; IM Andersen-Ranberg; Bjørg Heringstad; Daniel Gianola; Gunnar Klemetsdal
Bivariate analysis of number of services to conception and days open in Norwegian red using a censored threshold-linear model.
Journal of dairy science 2006;89(2):772-8.
2005: Oscar Gonzalez-Recio; Yu-mei Chang; Daniel Gianola; Kent Weigel
Number of inseminations to conception in Holstein cows using censored records and time-dependent covariates.
Journal of dairy science 2005;88(10):3655-62.
2005: Bjørg Heringstad; Yu-mei Chang; Daniel Gianola; Gunnar Klemetsdal
Genetic analysis of clinical mastitis, milk fever, ketosis, and retained placenta in three lactations of Norwegian red cows.
Journal of dairy science 2005;88(9):3273-81.
2005: Jørgen Ødegård; Per Madsen; Daniel Gianola; Gunnar Klemetsdal; Just Jensen; Bjørg Heringstad; Inge Riis Korsgaard
A Bayesian threshold-normal mixture model for analysis of a continuous mastitis-related trait.
Journal of dairy science 2005;88(7):2652-9.
2005: Daniel Gianola
Prediction of random effects in finite mixture models with Gaussian components.
Journal of animal breeding and genetics = Zeitschrift für Tierzüchtung und Züchtungsbiologie 2005;122(3):145-60.
2005: Paul Boettcher; Paolo Moroni; Giuliano Pisoni; Daniel Gianola
Application of a finite mixture model to somatic cell scores of Italian goats.
Journal of dairy science 2005;88(6):2209-16.
2005: IM Andersen-Ranberg; Bjørg Heringstad; Daniel Gianola; Yu-mei Chang; Gunnar Klemetsdal
Comparison between bivariate models for 56-day nonreturn and interval from calving to first insemination in Norwegian red.
Journal of dairy science 2005;88(6):2190-8.
2005: Bjørg Heringstad; Yu-mei Chang; Daniel Gianola; Gunnar Klemetsdal
Genetic association between susceptibility to clinical mastitis and protein yield in norwegian dairy cattle.
Journal of dairy science 2005;88(4):1509-14.
2004: DZ Caraviello; Kent Weigel; Daniel Gianola
Prediction of longevity breeding values for US Holstein sires using survival analysis methodology.
Journal of dairy science 2004;87(10):3518-25.
2004: Bjørg Heringstad; Yu-mei Chang; Daniel Gianola; Gunnar Klemetsdal
Multivariate threshold model analysis of clinical mastitis in multiparous norwegian dairy cattle.
Journal of dairy science 2004;87(9):3038-46.
2004: DZ Caraviello; Kent Weigel; Daniel Gianola
Analysis of the relationship between type traits and functional survival in US Holstein cattle using a Weibull proportional hazards model.
Journal of dairy science 2004;87(8):2677-86.
2004: Daniel Gianola; Daniel Sorensen
Quantitative genetic models for describing simultaneous and recursive relationships between phenotypes.
Genetics 2004;167(3):1407-24.
2004: DZ Caraviello; Kent Weigel; Daniel Gianola
Comparison between a Weibull proportional hazards model and a linear model for predicting the genetic merit of US Jersey sires for daughter longevity.
Journal of dairy science 2004;87(5):1469-76.
2004: Daniel Gianola; Jørgen Ødegård; Bjørg Heringstad; Gunnar Klemetsdal; Daniel Sorensen; Per Madsen; Just Jensen; Johann Detilleux
Mixture model for inferring susceptibility to mastitis in dairy cattle: a procedure for likelihood-based inference.
Genetics, selection, evolution : GSE 2004;36(1):3-27.
2003: Jørgen Odegård; J Jensen; Per Madsen; Daniel Gianola; Gunnar Klemetsdal; Bjørg Heringstad
Detection of mastitis in dairy cattle by use of mixture models for repeated somatic cell scores: a Bayesian approach via Gibbs sampling.
Journal of dairy science 2003;86(11):3694-703.
2003: J H Jakobsen; Romdhane Rekaya; Just Jensen; Daniel Sorensen; Per Madsen; Daniel Gianola; LG Christensen; J Pedersen
Bayesian estimates of covariance components between lactation curve parameters and disease liability in Danish Holstein cows.
Journal of dairy science 2003;86(9):3000-7.
2003: DZ Caraviello; Kent Weigel; Daniel Gianola
Analysis of the relationship between type traits, inbreeding, and functional survival in Jersey cattle using a Weibull proportional hazards model.
Journal of dairy science 2003;86(9):2984-9.
2003: Romdhane Rekaya; Daniel Gianola; Kent Weigel; George Shook
Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle.
Genetics, selection, evolution : GSE 2003;35(5):457-68.
2003: Bjørg Heringstad; Y M Chang; Daniel Gianola; Gunnar Klemetsdal
Genetic analysis of longitudinal trajectory of clinical mastitis in first-lactation Norwegian cattle.
Journal of dairy science 2003;86(8):2676-83.
2003: Miguel Pérez-Enciso; Miguel A Toro; Michel Tenenhaus; Daniel Gianola
Combining gene expression and molecular marker information for mapping complex trait genes: a simulation study.
Genetics 2003;164(4):1597-606.
2003: Romdhane Rekaya; Kent Weigel; Daniel Gianola
Bayesian estimation of parameters of a structural model for genetic covariances between milk yield in five regions of the United States.
Journal of dairy science 2003;86(5):1837-44.
2003: Inge Riis Korsgaard; Mogens Sandø Lund; Daniel Sorensen; Daniel Gianola; Per Madsen; Just Jensen
Multivariate Bayesian analysis of Gaussian, right censored Gaussian, ordered categorical and binary traits using Gibbs sampling.
Genetics, selection, evolution : GSE 2003;35(2):159-83.
2003: Bjørg Heringstad; Romdhane Rekaya; Daniel Gianola; Gunnar Klemetsdal; Kent Weigel
Bivariate analysis of liability to clinical mastitis and to culling in first-lactation cows.
Journal of dairy science 2003;86(2):653-60.
2003: Daniel Gianola; Miguel Perez-Enciso; Miguel A Toro
On marker-assisted prediction of genetic value: beyond the ridge.
Genetics 2003;163(1):347-65.
2002: G J M Rosa; Brian S Yandell; Daniel Gianola
A Bayesian approach for constructing genetic maps when markers are miscoded.
Genetics, selection, evolution : GSE 2002;34(3):353-69.
2001: Romdhane Rekaya; Kent Weigel; Daniel Gianola
Threshold model for misclassified binary responses with applications to animal breeding.
Biometrics 2001;57(4):1123-9.
2001: Bjørg Heringstad; Romdhane Rekaya; Daniel Gianola; Gunnar Klemetsdal; Kent Weigel
Bayesian analysis of liability of clinical mastitis in Norwegian cattle with a threshold model: effects of data sampling method and model specification.
Journal of dairy science 2001;84(11):2337-46.
2001: Romdhane Rekaya; Kent Weigel; Daniel Gianola
Application of a structural model for genetic covariances in international dairy sire evaluations.
Journal of dairy science 2001;84(6):1525-30.
1999: Robert J Tempelman; Daniel Gianola
Genetic analysis of fertility in dairy cattle using negative binomial mixed models.
Journal of dairy science 1999;82(8):1834-47.
1998: S L Rodriguez-Zas; Daniel Gianola; George Shook
Bayesian analysis via Gibbs sampling of susceptibility to intramammary infection in Holstein cattle.
Journal of dairy science 1998;81(10):2710-22.
1998: Kent Weigel; T M Fisher; C Van der Linde; Daniel Gianola; Romdhane Rekaya
Impact of bovine somatotropin on genetic evaluation of dairy sires and cows.
Journal of dairy science 1998;81(7):2045-51.
1997: S L Rodriguez-Zas; Daniel Gianola; George Shook
Factors affecting susceptibility to intramammary infection and mastitis: an approximate Bayesian analysis.
Journal of dairy science 1997;80(1):75-85.
1997: C A Matos; DL Thomas; Daniel Gianola; Miguel Perez-Enciso; L D Young
Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models: II. Goodness of fit and predictive ability.
Journal of animal science 1997;75(1):88-94.
1997: C A Matos; DL Thomas; Daniel Gianola; Robert J Tempelman; L D Young
Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models: I. Estimation of genetic parameters.
Journal of animal science 1997;75(1):76-87.
1994: I Olesen; M Perez-Enciso; Daniel Gianola; DL Thomas
A comparison of normal and nonnormal mixed models for number of lambs born in Norwegian sheep.
Journal of animal science 1994;72(5):1166-73.
1993: C A Matos; C Ritter; Daniel Gianola; DL Thomas
Bayesian analysis of lamb survival using Monte Carlo numerical integration with importance sampling.
Journal of animal science 1993;71(8):2047-54.
1992: Kent Weigel; Daniel Gianola
Estimation of heterogeneous within-herd variance components using empirical Bayes methods: a simulation study.
Journal of dairy science 1992;75(10):2824-33.
1992: Daniel Gianola; J L Foulley; R L Fernando; C R Henderson; Kent Weigel
Estimation of heterogeneous variances using empirical Bayes methods: theoretical considerations.
Journal of dairy science 1992;75(10):2805-23.
1989: Joel Ira Weller; Daniel Gianola
Models for genetic analysis of dystocia and calf mortality.
Journal of dairy science 1989;72(10):2633-43.
1989: Daniel Gianola; R L Fernando; S Im; J L Foulley
Likelihood estimation of quantitative genetic parameters when selection occurs: models and problems.
Genome / National Research Council Canada = Génome / Conseil national de recherches Canada 1989;31(2):768-77.
1988: Joel Ira Weller; Ignacy Misztal; Daniel Gianola
Genetic analysis of dystocia and calf mortality in Israeli-Holsteins by threshold and linear models.
Journal of dairy science 1988;71(9):2491-501.
1987: A L Carriquiry; Daniel Gianola; R L Fernando
Mixed-model analysis of a censored normal distribution with reference to animal breeding.
Biometrics 1987;43(4):929-39.
1986: J L Foulley; Daniel Gianola
Sire evaluation for multiple binary responses when information is missing on some traits.
Journal of dairy science 1986;69(10):2681-95.
1986: Daniel Gianola; R L Fernando
Random-effects models for binary responses.
Biometrics 1986;42(1):217-8.
1981: Daniel Gianola; H W Norton
Scaling threshold characters.
Genetics 1981;99(2):357-64.
1979: Daniel Gianola
Heritability of polychotomous characters.
Genetics 1979;93(4):1051-5.
1979: Daniel Gianola
Estimation of genetic covariance from joint offspring-parent and sib-sib statistics.
Genetics 1979;93(4):1039-49.