Daniel Gianola - the Department of Animal Sciences - University of ...

Curriculum Vitae
Daniel Gianola
Department of Animal Sciences
University of Wisconsin-Madison
1675 Observatory Dr.
Madison, WI 53706-1284
U.S.A.
e-mail: gianola@calshp.cals.wisc.edu
Phone:1-608-265-2054 Fax: 1-608-262-5157
EDUCATION: degree oriented
1975 Ph.D. Animal Breeding, minor in Statistics.
University of Wisconsin- Madison, Madison, Wisconsin.
Thesis: Effectiveness of Ancestral Irradiation on the Direct and
Correlated Responses to Selection for Body weight in Rats. (Prof. A.B.
Chapman)
1973 M.S. Dairy Science
University of Wisconsin- Madison, Madison, Wisconsin.
Thesis: Genetic and Enviromental Influences on the Birth Weight and
Gestation lengths of Holstein-Friesian Cattle. (Prof. W.J. Tyler)
1970 Ing. Agr. Agriculture and Animal Production
EDUCATION: continuing
Universidad de la Republica, Uruguay.
Thesis: Estrategia de desarrollo para una colonia agropecuaria del
Instituto Nacional de Colonizacion. Facultad de Agronomia, Universidad
de la Republica, Montevideo, Uruguay.
2003 Course “Statistical Genomics”, Nordic Academy for Advanced Study, June 16-26,
Lillehammer, Norway.
1975 Course "Model Fitting and Optimization by Computer," Institute of Advanced Technology,
Control Data Corporation, Washington, DC.
1973 Graduate student in animal breeding, Cornell University, Ithaca
1971 Course "Artificial Insemination Management," American Breeders Service, De Forest,
1

Wisconsin.
1967 Course "Wool and its production," Experimental Station of Paysandú, Uruguay.
HONORS AND AWARDS
2005 Gamma Sigma Delta (Honor Society in Agriculture)
2003 International Advisory Board, Fundacion Zonamerica, Uruguay
2002 Doctor Science Honoris Causa (Honorary Doctorate), Universidad Politécnica de
Valencia, Spain.
2000 – 2001 “William F. Vilas Associate”, University of Wisconsin-Madison. Two years of
summer salary support and flexible research funds in recognition for outstanding
research.
1996-2000 Member of International Advisory Board of Genetics, Selection, Evolution, a
scientific journal published by Elsevier and by INRA and CNRS, France.
1995 “R. Osborne Memorial Lecturer”, University of Edinburgh, Great Britain.
1995 Fellow, American Statistical Association, U.S.A., for: “Influential research in
statistical methods for quantitative genetics; for pioneering work on Bayesian
methods applied to animal breeding; and for excellence in international teaching
of advanced statistical methods.” According to the American Statistical
Association: “The designation of fellow is a singular honor and has for more than
75 years signified an individual’s outstanding professional contribution and
leadership in the field of statistical science.”
1995 Scientific Award of Merit to Best 1994 Paper in Animal Breeding and Genetics,
Internet Animal Genetics Discussion Group (co-author of “Bayesian Analysis of
Genetic Change due to Selection using Gibbs Sampling”). Genetics, Selection,
Evolution 26:333-360.
1992 First "C.R. Henderson Memorial Lecturer in Statistics and Animal Breeding,"
Cornell University, Ithaca, New York, U.S.A.
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1990 INRA Research Fellowship, Paris, France.
1989 Rockefeller Prentice Memorial Award for Outstanding Contributions to Animal
Breeding and Genetics Research, American Society of Animal Science, U.S.A.
1989 J.L. Lush Award for Outstanding Research in Animal Breeding, American Dairy
Science Association, U.S.A.
1987 University Scholar, University of Illinois, USA. “Recognition of the very best of
faculty scholarship at the University of Illinois”.
1987 Outstanding Young Researcher, American Society of Animal Science, Midwestern
Section, U.S.A.
1984 Honorary President, ANCADI (Association pour l'analyse des caracteres discrets),
Toulouse, France.
1983-1989 Member of International Scientific Committee of Genetique, Selection, Evolution,
France.
1983 H. H. Mitchell Award for Excellence in Graduate Teaching and Research,
Department of Animal Science, University of Illinois, U.S.A.
1981 New Zealand National Branch Advisory Council, Senior Research Fellowship
(Declined).
1979 Sigma Xi, The Scientific Research Society, U.S.A.
1971-1972 Organization of American States Fellowship, U.S.A.
1970 Plan Agropecuario Fellowship, Uruguay.
PROFESSIONAL MEMBERSHIPS
2000- Royal Statistical Society, Fellow
3

1974- American Statistical Association
1971- American Dairy Science Association
POSITIONS HELD
1997-Present Professor Department of Biostatistics and Medical
Informatics, University of Wisconsin-Madison.
1991-Present Professor Department of Animal Sciences and
1987-1991
1987-1981
1978-1981
Professor
Associate Proffesor
Assistant Professor
1975-1977 Population and Livestock
Specialist
Department of Dairy Science, University of
Wisconsin-Madison.
Department of Animal Sciences, University of
Illinios.
World Bank, Washington D.C.
1975 Research Assistant Department of Medical Genetics, University of
Wisconsin- Madison.
1974 Research Assistant Department of Animal Science, Cornell
University, Ithaca, New York.
1970 Trainee Plan Agropecuario, Uruguay.
1966 Teaching Assistant Analytical Chemistry, Universidad de la
VISITING PROFESSORSHIPS
Republica, Uruguay.
2001-2005 Professor Norges Landbrukshogskole, Aas, Norway.
2001 Professor and Scientist Station ‘d Amelioration Genetique des Animaux,
Centre de Recherches de Toulouse, Auzeville,
France.
2000 Professor and Scientist CSIRO (Commonwealth Scientific and Industrial
Research Organization) Livestock Industries,
Armidale, Australia.
2000 Professor Colegio de Post-graduados, Texcoco, Mexico.
1999 Professor Universidade Federal de Vicosa, Brazil.
1998 Professor Agricultural Research Centre of Finland,
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Jokioinen, Finland.
1998 Professor Institute of Animal, Cell and Population Biology,
1996,
1997,2002
University of Edinburgh, United Kingdom.
Professor Department of Genetics and Mathematics
Applied to Biology, Medical School. University
of Sao Paulo at Ribeirao Preto, Brazil.
1996, 2000 Professor Facultad de Agronomía, Universidad de Buenos
Aires, Argentina.
1995 Professor Livestock Research Institute, Tainan, Taiwan
1994 Professor Universitat de Lleida, Spain.
1994, 1995,
1996, 1997,
1999, 2000,
2001, 2002,
2004
Professor Universidad Politécnica de Valencia, Valencia,
Spain.
1993 Professor Universidad de la República, Montevideo,
Uruguay.
1992 Professor Department of Biometry, Instituto Nacional de
1990, 1992,
1993, 1994,
1995,
1996,1997,
1998, 1999,
2000,
2001,2002,
2003, 2004
Tecnologia Agropecuaria, Buenos Aires,
Argentina.
Professor and Scientist Danish Institute of Agricultural Sciences
Foulum, Denmark.
1990, 1994 Professor Instituto Nacional de Investigaciones Agrarias,
Madrid, Spain.
1989 Professor Swedish University of Agricultural Sciences,
Uppsala, Sweden.
1989 Professor Course on "Application of Bayesian methods in
animal breeding," Achselschwang, Bayern,
Germany.
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1984, 1988,
1989, 1990,
1994, 1996
Professor University of Tras-os-Montes e Alto Douro,
Portugal.
1984 Professor International Course "Analysis of categorical
data in animal breeding," St. Ferreol, France.
1982, 1996 Professor Wageningen Agricultural University, the
1982, 1989,
1990, 1994
CONSULTANCIES
Netherlands.
Professor and Scientist Department of Animal Genetics, INRA, Jouy-
en- Josas, France.
1995 Consultant Facultad de Agronomía, Universidad de la
República, Montevideo, Uruguay.
1991, 1992 Consultant in Animal Breeding Instituto Nacional de Investigación
(IICA) and Visiting Scientist
Agropecuaria, Montevideo, Uruguay.
1984, 1985,
1987
Short Term Advisor USAID/Purdue University Project at University
of Tras-os-Montes e Alto Douro, Portugal.
1979 Consultant Indianapolis Center for Advanced Research.
1978 Consultant World Bank, Washington D.C.
COUNTRY-BASED PROFESSIONAL EXPERIENCE
Argentina Australia Austria Belgium Botswana
Brazil Canada Chile China Denmark
England Finland France Germany Greece
Italy Jamaica Kenya Mexico Netherlands
New Zealand Norway Poland Portugal Slovenia
South Africa Scotland Spain Sweden Switzerland
Taiwan Uruguay U.S.A. Zaire
PUBLICATIONS
Books
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1. D. Gianola and K. Hammond (Eds.) 1990. Advances in Statistical Methods for Genetic
Improvement of Livestock. 534 pp. Springer-Verlag, Heidelberg.
2. D. Gianola (Ed.). 1991. Mejoramiento genetico animal en el Uruguay en visperas del
Mercosur. Serie Tecnica. No. 12, 71 pp. INIA, Uruguay.
3. D. Sorensen and D. Gianola. 2002. Likelihood, Bayesian and MCMC methods in quantitative
genetics. 740 pp. Springer, New York.
Chapters in Books (**= invited)
1. D. Gianola and L. H. Thompson. 1984. Theoretical consequences of heterospermic progeny
testing in polytocous species. In "Insemination artificielle et amelioration genetique". J. M. Elsen
and J. L. Foulley, Eds., Colloques de l' I.N.R.A. 29:177-207, Institut National de la Recherche
Agronomique, Paris. (**)
2. J. L. Foulley, D. Gianola, S. Im and I. Misztal. 1988. Une approche Bayesienne de l'analyse
genetique de caracteres discrets. In "Biometrie et donnees discretes," pp 6-35, B. Asselain, C.
Duby, J. P. Masson and J. Tranchefort, Eds. E.N.S.A., Rennes.
3. D. Gianola, S. Im, R. L. Fernando and J. L. Foulley. 1990. Mixed model methodology and the
Box-Cox theory of transformations: a Bayesian approach. pp. 15-40. In "Advances in Statistical
Methods for Genetic Improvement of Livestock." Springer-Verlag, Heidelberg. (**)
4. D. Gianola, S. Im and F. W. Macedo. 1990. A framework for prediction of breeding value.
pp. 210-238. In "Advances in Statistical Methods for Genetic Improvement of Livestock."
Springer-Verlag, Heidelberg. (**)
5. J. L. Foulley, D. Gianola and S. Im. 1990. Genetic evaluation for discrete polygenic traits in
animal breeding. pp. 361-409. In "Advances in Statistical Methods for Genetic Improvement of
Animals." Springer-Verlag, Heidelberg. (**)
6. Fernando, R. L. and D. Gianola. 1990. Optimal designs for sire evaluation schemes. pp. 118-
131. In "Advances in Statistical Methods for Genetic Improvement of Livestock." Springer-
Verlag, Heidelberg. (**)
7. Fernando, R. L. and D. Gianola. 1990. Statistical inferences in populations undergoing
selection or non-random mating. pp. 437-453. In "Advances in Statistical Methods for Genetic
Improvement of Livestock." Springer-Verlag, Heidelberg. (**)
8. C.S. Wang, J.J. Rutledge and D. Gianola. 1992. Nuevos modelos de estimacion de
componentes de varianza. pp. 145-161. In: "Avances en Porcinocultura" Consejeria de
Agricultura, Ganaderia y Pesca de la Region de Murcia, Spain. (**)
9. D. Gianola. 1997. Las estructuras academicas hacia el siglo XX1. pp. 90 -109. In: “Universidad,
Desarrollo y Siglo XXI”. Agrupacion Universitaria del Uruguay. Tradinco S. A., Montevideo. (**)
10. D. Gianola. 2001. Inferences about breeding values. pp. 645-672. In: “Handbook of Statistical
Genetics”. D. J. Balding, M. Bishop and C. Cannings, Eds. John Wiley & Sons, Buffins Lane,
United Kingdom. (**)
11. D. Gianola. 2001. Statistics in animal breeding. pp. 34-41. In “Statistics in the 21st Century”.
A. E. Raftery, M. A. Tanner and M. T. Wells, Eds. Chapman&Hall/CRC, Boca Raton, and American
Statistical Association, Alexandria. (**)
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12. D. Gianola. 2002. Los métodos estadísticos en el mejoramiento genetico. pp. 61-90. In
“Genetica Animal: contribuciones en homenaje al Profesor Ing. Agr. Jaime Rovira”. Ricardo
Cardellino and Roberto Cardellino, Eds. Hemisferio Sur, Montevideo. (**)
13. Y. M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2002. Correlations between clinical
mastitis at different periods of first-lactation in Norwegian Cattle using a multivariate threshold
model. pp. 177-192. In “Case Studies in Bayesian Statistics”, Volume 6. C. Gatsonis, A.
Carriquiry, A. Gelman, D. Higdon, R. Kass, D. Pauler, I. Verdinelli, Eds. Springer, New York.
14. D. Gianola. 2003. Inferences about breeding values. pp. 526-553. In: “Handbook of
Statistical Genetics”. Second Edition. D. J. Balding, M. Bishop and C. Cannings, Eds. John Wiley
& Sons. (**)
15. D. Gianola. 2007. Inferences from mixed models in quantitative genetics. In: “Handbook of
Statistical Genetics”. Second Edition. D. J. Balding, M. Bishop and C. Cannings, Eds. John Wiley
& Sons. (**, IN PRESS)
Papers in Refereed Journals
1973 1. D. Gianola and W. J. Tyler. 1973. Factores que afectan el peso al nacer y la
duracion de la gestacion en bovinos: revision bibliografica. Archivos de
Medicina Veterinaria 5:1-11.
1974 2. D. Gianola and W. J. Tyler. 1974. Influences on birth weight and gestation
period of Holstein-Friesian cattle. Journal of Dairy Science 57:235-240.
1975 3. D. Gianola. 1975. Hypothesis tests in linear models. The American
Statistician 29:133.
1976 4. D. Gianola and A. B. Chapman. 1976. Follicular population and body weight
in relation to genetic differences in ovarian response to gonadotropin in rats.
Journal of Animal Science 42:36-42.
5. A. Hernandez-Urdaneta, C.E. Coppock, R. E. McDowell, D. Gianola and N. E.
Smith. 1976. Changes in forage-concentrate ratio of complete feeds for dairy
cows. Journal of Dairy Science 59:695-707.
1977 6. D. Gianola, A. B. Chapman and J. J. Rutledge. 1977. Effects of ancestral
irradiation followed by random mating on body weight of rats. Genetics 86:849-
860.
7. D. Gianola, A. B. Chapman and J. J. Rutledge. 1977. Estimates of genetic
parameters of body weight in descendants of X-irradiated rat spermatogonia.
Genetics 86:861-883.
1978 8. D. Gianola. 1978. Observations on criteria for within-family selection.
Journal of Heredity 69:345-346.
1979 9. D. Gianola, A. B. Chapman and J. J. Rutledge. 1979. Responses to selection
for body weight in descendants of X-irradiated rats. Genetics 91:627-645.
10. D. Gianola. 1979. Analysis of discrete variables in animal breeding
contexts. Journal of Dairy Science 62:1471-1478.
11. D. Gianola. 1979. Estimation of genetic covariance from joint offspring-
8

parent and sib-sib statistics. Genetics 93:1039-1049.
12. D. Gianola. 1979. Heritability of polychotomous characters. Genetics
93:1051-1055.
1980 13. D. Gianola. 1980. Confidence intervals for ratios of linear functions of
mixed models with reference to animal breeding data. Journal of Animal
Science 50:1051-1056.
14. D. Gianola. A method of sire evaluation for dichotomies. Journal of Animal
Science 57:1266-1271.
15. D. Gianola. 1980. Genetic evaluation of animals for traits with categorical
responses. Journal of Animal Science 1272-1276.
1981 16. D. Gianola and H. W. Norton. 1981. Scaling threshold characters.
Genetics 99:357-364.
1982 17. D. Gianola. 1982. Theory and analysis of threshold characters. Journal of
Animal Science 54:1079-1096. (invited)
18. D. Gianola. 1982. "Least-squares means" vs. "Population marginal means."
The American Statistician 36:65-66.
19. D. Gianola. 1982. Assortative mating and the genetic correlation.
Theoretical and Applied Genetics 62:225-231.
20. J. L. Foulley, S. Calomiti and D. Gianola. 1982. Ecriture des equations du
BLUP multicaracteres. Ann. Genet. Sel. Anim. 14:309-326.
21. D. Gianola and B. Goffinet. 1982. Sire evaluation with best linear unbiased
predictors. Biometrics 38:1085-1086.
1983 22. R. L. Fernando, R. D. Billingsley and D. Gianola. 1983. Effects of scaling
frame score at weaning in Angus cattle on heritability estimates and sire
evaluations. J. Anim. Sci. 56:1047-1056.
23. R. L. Fernando, D. Gianola and M. Grossman. 1983. Identifying all
connected subsets in a two-way classification without interaction. J. Dairy Sci.
66:1399-1402.
24. S. C. Loerch, L. L. Berger, D. Gianola and G. C. Fahey, Jr. 1983. Effects of
dietary protein source and energy level upon in situ nitrogen disappearance of
various protein sources. J. Anim. Sci. 56:206-216.
25. D. Gianola and J. L. Foulley. 1983. Sire evaluation for ordered categorical
data with a threshold model. Genetique, Selection, Evolution 15:201-223.
26. J. L. Foulley, D. Gianola and R. Thompson. 1983. Prediction of genetic
merit from data on categorical and quantitative variates with an application to
calving difficulty, birth weight and pelvic opening. Genetique, Selection,
Evolution 15:401-424.
1984 27. J. L. Foulley and D. Gianola. 1984. Estimation of genetic merit from
bivariate "all or none" responses. Genetique, Selection, Evolution 16:285-306.
28. R. L. Fernando, S. A. Knights and D. Gianola. 1984. On a method of
estimating the genetic correlation between characters measured in different
experimental units. Theoretical and Applied Genetics 67:175-178.
29. R. L. Fernando and D. Gianola. 1984. Rules for assortative mating in
relation to selection for linear merit functions. Theoretical and Applied Genetics
68:227-237.
30. S. A. Knights, R. L. Baker, D. Gianola and J. B. Gibb. 1984. Estimates of
heritabilities and of genetic and phenotypic correlations among growth and
reproductive traits in yearling Angus bulls. J. Anim. Sci. 58:887-893.
9

1985 31. A. Meijering and D. Gianola. 1985. Linear versus nonlinear methods of sire
evaluation for categorical traits: a simulation study. Genetique, Selection,
Evolution 17:115-132.
32. A. Meijering and D. Gianola. 1985. Observations on sire evaluation with
categorical data using heteroscedastic mixed linear models. J. Dairy Sci.
68:1226-1232.
1986 33. D. Gianola and R. L. Fernando. 1986. Bayesian methods in animal
breeding theory. J. Anim. Sci. 63:217-244. (invited)
34. R. L. Fernando and D. Gianola. 1986. Optimal properties of the conditional
mean as a selection criterion. Theoretical and Applied Genetics 72:822-825.
35. D. Gianola. 1986. On selection criteria and estimation of parameters when
the variance is heterogeneous. Theoretical and Applied Genetics 72:671-677.
36. D. Gianola and R. L. Fernando. 1986. Random effects models for binary
responses. Biometrics 42:217-218.
37. I. Hoschele, J. L. Foulley, J. J. Colleau and D. Gianola. 1986. Genetic
evaluation for multiple binary responses. Genetique, Selection, Evolution
18:299-320.
38. R. L. Fernando and D. Gianola. 1986. Effect of assortative mating on
genetic change due to selection. Theoretical and Applied Genetics 72:395-404.
39. J. L. Foulley and D. Gianola. 1986. Sire evaluation for multiple binary traits
when some information is missing. J. Dairy Sci. 69:2681-2695.
40. W. N. Mwenya, D. Gianola and M. Grossman. 1986. Effects of assortative
mating for pupa weight on genetic parameters of unselected Tribolium
castaneum. Theoretical and Applied Genetics 72:388-394.
41. D. Gianola, J. L. Foulley and R. L. Fernando. 1986. Prediction of breeding
values when variances are not known. Genet. Sel. Evol. 18:485-498 (also in
Proc. 3rd Wld. Cong. Genet. App. Liv. Prod. 12:356-370). (invited)
1987 42. J. L. Foulley, D. Gianola and D. Planchenault. 1987. Sire evaluation with
uncertain paternity. Genetique, Selection, Evolution 19:83-97.
43. J. L. Foulley, S. Im, D. Gianola and I. Hoschele. 1987. Empirical Bayes
estimation of genetic value for n binary traits. Genetique, Selection, Evolution
19:197-224.
44. J. L. Foulley, D. Gianola and S. Im. 1987. Genetic evaluation for traits
distributed as Poisson-binomial with reference to reproductive characters.
Theoretical and Applied Genetics 73:870-877.
45. I. Misztal and D. Gianola. 1987. Indirect solution of mixed model
equations. Journal of Dairy Science 70:716-723.
46. I. Hoschele, D. Gianola and J. L. Foulley. 1987. Estimation of variance
components with quasi-continuous data using Bayesian methods. Zeitschrift fur
Tierzuchtung und Zuchtungsbiologie 104:334-349.
47. A. L. Carriquiry, D. Gianola and R. L. Fernando. 1987. Mixed model
analysis of a censored normal distribution with reference to animal breeding.
Biometrics 43:929-939.
48. I. Misztal, D. Gianola and L. R. Schaeffer. 1987. Convergence rates in
animal model solutions. Journal of Dairy Science 70:2577-2584.
1988 49. H. L. Chang, D. Gianola, R. A. Easter, L. H. Thompson and S. A. Williamson.
1988. Joint effects of fraternity size, plane of nutrition and nursing schedule on
pig growth from birth to 20 weeks of age. Livestock Production Science
18:141-155.
50. S. Im and D. Gianola. 1988. Mixed models for binomial data with an
10

application to lamb mortality. Journal of the Royal Statistical Society (C)
37:196-204.
51. I. Hoschele, M. F. Rothschild and D. Gianola. 1988. Recursive estimation
of breeding values with categorical data. Journal of Dairy Science 71:452-466.
52. Kachman, S. D., R. L. Baker and D. Gianola. 1988. Phenotypic and genetic
variability of estimated growth curve parameters in mice. Theoretical and
Applied Genetics 76:148-156.
53. R. L. Fernando and D. Gianola. 1988. Estimation of heritability by
offspring-parent regression when observations do not have a common mean.
Theoretical and Applied Genetics 75:803-806.
54. S. Im and D. Gianola. 1988. Offspring-parent regression for a binary trait.
Theoretical and Applied Genetics 75:720-722.
55. J. L. Weller, I. M. Misztal and D. Gianola. 1988. Genetic analysis of
dystocia and calf mortality in Israeli Holsteins by threshold and linear models.
J. Dairy Sci. 71:2491-2501.
56. D. Gianola, R. L. Fernando and S. Im. 1988. Prediction of breeding value
under Henderson's selection model: a revisitation. J. Dairy Sci. 71:2790-2798.
57. I. Misztal, D. Gianola and I. Hoschele. 1988. Threshold models with
heterogeneous residual variance due to missing information. Genet. Sel. Evol.
20:511-516.
1989 58. I. Misztal, D. Gianola and J. L. Foulley. 1989. Computing aspects of a
nonlinear method of sire evaluation for categorical data. J. Dairy Sci. 72:1557-
1568.
59. I. Hoschele and D. Gianola. 1989. Bayesian versus maximum quasilikelihood
methods for parameter estimation and sire ranking with binary
threshold variables. J. Dairy Sci. 72:1569-1577.
60. S. Im, R. L. Fernando and D. Gianola. 1989. Likelihood inferences from
animal breeding data subject to selection. Genet. Sel. Evol. 21:399-414.
61. D. Gianola, R. L. Fernando, S. Im and J. L. Foulley. 1989. Likelihood
estimation of quantitative genetic parameters when selection occurs: models
and problems. Genome 31:768-777. (invited)
62. J. I. Weller, I. Misztal and D. Gianola. 1989. Models for genetic analysis of
dystocia and calf-mortality. Journal of Dairy Science 72:2633-2643.
63. H. L. Chang, R. L. Fernando and D. Gianola. 1989. Inverse of an additive
relationship matrix due to sires and maternal grandsires. J. Dairy Sci. 72:3023-
3034.
64. D. Gianola. 1989. To the Memory of Professor Charles R. Henderson. Genet.
Sel. Evol. 21:243-244. (invited)
1990 65. J. L. Foulley, D. Gianola, M. San Cristobal and S. Im. 1990. A method for
assessing extent and sources of heterogeneity of residual variances in mixed
linear models. J. Dairy Sci. 73:1612-1624.
66. D. Gianola and J. L. Foulley. 1990. Variance estimation from integrated
likelihoods. Genet. Sel. Evol. 22:403-417.
67. J. L. Foulley, R. Thompson and D. Gianola. 1990. On sire evaluation with
uncertain paternity. Genetics, Selection, Evolution 22:373-376.
1991 68. K. A. Weigel, D. Gianola, R. J. Tempelman, C. A. Matos, I. H. C. Chen, T.
Wang, R. Bunge and L. L. Lo. 1991. Improving estimates of fixed effects in a
mixed linear model. J. Dairy Sci. 74:3174-3182.
69. D. Gianola and J. L. Foulley. 1991. The future of Bayesian statistics. The
American Statistician 45:168
11

1992 70. J. L. Foulley, M. San Cristobal, D. Gianola and S. Im. 1992. Marginal
likelihood and Bayesian approaches to the analysis of heterogeneous residual
variances in mixed linear Gaussian models. Computational Statistics and Data
Analysis 13:1-15. (invited)
71. R. J. C. Cantet, R. L. Fernando and D. Gianola. 1992. Bayesian inference
about dispersion parameters of univariate mixed models with maternal effects:
theoretical considerations. Genetics, Selection and Evolution 24:107-135.
72. R. J. C. Cantet, R. L. Fernando, D. Gianola and I. Misztal. 1992. Genetic
grouping theory for direct and maternal effects with differential assignment of
groups. Genetics, Selection and Evolution 24:211-223.
73. D. Gianola, J. L. Foulley, R. L. Fernando, C. R. Henderson and K. A. Weigel.
1992. Estimation of heterogeneous variances using empirical Bayes methods:
theoretical considerations. J. Dairy Sci. 75:2805-2823.
74. K.A. Weigel and D. Gianola. 1992. Estimation of heterogeneous withinherd
variance components using empirical Bayes methods: a simulation study.
J. Dairy Sci. 75:2824-2833.
75. M. Perez-Enciso and D. Gianola. 1992. Estimates of genetic parameters for
litter size in six strains of Iberian pigs. Livestock Production Science 32:283-
293.
1993 76. C.S. Wang, J.J. Rutledge and D. Gianola. 1993. Marginal inferences about
variance components in a mixed linear model using Gibbs sampling. Genetics,
Selection, Evolution 25: 41-62.
77. K. A. Weigel and D. Gianola. 1993. A computationally simple Bayesian
method for estimation of heterogeneous within-herd phenotypic variances. J.
Dairy Sci. 76:1455-1465.
78. K. A. Weigel, D. Gianola, B. S. Yandell and J. F. Keown. 1993.
Identification of factors causing heterogeneous within-herd variance
components using a structural model for variances. J. Dairy Sci. 76:1466-1478.
79. H. W. Soto-Murillo, D. B. Faulkner, D. Gianola and G. F. Cmarik. 1993. Sire
x pasture program interaction effects on preweaning performance of crossbred
beef calves. Livestock Production Science 33:67-75.
80. H. W. Soto-Murillo, D. B. Faulkner, D. Gianola and G. F. Cmarik. 1993.
Effects of breed of sire, breed of dam, pasture program and of their interactions
on preweaning performance of crossbred beef calves. Livestock Production
Science 33:55-66.
81. M. Perez-Enciso, R.J. Tempelman and D. Gianola. 1993. A comparison
between linear and Poisson mixed models for litter size in Iberian pigs.
Livestock Production Science 35: 303-316.
82. C. A. P. Matos, C. Ritter, D. Gianola and D. L. Thomas. 1993. Bayesian
analysis of lamb survival using Monte Carlo numerical integration with
importance sampling. J. Anim. Sci. 71: 2047-2054.
83. R. J. C. Cantet, D. Gianola, I. Misztal and R. L. Fernando. 1993. Estimates
of dispersion parameters and of genetic and environmental trends for weaning
weight in Angus cattle using a maternal animal model with genetic grouping.
Livestock Production Science 34: 203-212.
84. R. J. Tempelman and D. Gianola. 1993. Marginal maximum likelihood
estimation of variance components in Poisson mixed models using Laplace
integration. Genetics, Selection, Evolution 25: 305-319.
1994 85. I. Olesen, M.Perez-Enciso, D.Gianola and D. L. Thomas. 1994. A
comparison of normal and nonnormal mixed models for number of lambs born
in Norwegian sheep. Journal of Animal Science 72: 1166-1173.
12

86. C. S. Wang, J. J. Rutledge and D. Gianola. 1994. Bayesian analysis of
mixed linear models via Gibbs sampling with an application to litter size in
Iberian pigs. Genetics, Selection, Evolution 26: 91-115.
87. R. J. Tempelman and D. Gianola. 1994. Assessment of a Poisson animal
model for embryo yield in a simulated multiple ovulation-embryo transfer
scheme. Genetics, Selection, Evolution 26: 293-290.
88. C.S. Wang, D. Gianola, D.A. Sorensen, J. Jensen, A. Christensen and J.J.
Rutledge. 1994. Response to selection for litter size in Danish Landrace pigs: a
Bayesian analysis. Theoretical and Applied Genetics 88: 220-230.
89. J. Jensen, C.S. Wang, D.A. Sorensen and D. Gianola. 1994 Bayesian
inference on variance and covariance components for traits influenced by
maternal and direct genetic effects using the Gibbs sampler. Acta Agriculturae
Scandinavica 44: 193-201.
80. D. Sorensen, C.S. Wang, J. Jensen and D. Gianola. 1994. Bayesian
analysis of genetic change due to selection using Gibbs sampling. Genetics,
Selection, Evolution 26: 333-360.
91. D. Gianola, C. S. Wang, J. L. Foulley and R. L. Fernando. 1994. Bayesian
inference about heritability in a linear model with additive genetic effects.
Revista Portuguesa de Zootecnia 1: 63-86. (invited)
1995 92. D. Sorensen, S. Andersen, D. Gianola and I. Korsgaard. 1995. Bayesian
inference in threshold models using Gibbs sampling. Genetics, Selection,
Evolution 27: 229-249.
93. D. Gianola. 1995. Discussion of "Heterogeneous variances in Gaussian linear
mixed models", by J. L. Foulley and R. L. Quaas. Genetics, Selection, Evolution
27: 227-228. (invited)
1996 94. R.J. Tempelman and D. Gianola. 1996. A mixed effects model for overdispersed
count data in animal breeding. Biometrics 52: 265-279.
95. J. L. Foulley and D. Gianola. 1996. Statistical analysis of ordered
categorical data via a structural heteroskedastic threshold model. Genetics,
Selection, Evolution 28: 249-273.
1997 96. C.A.P. Matos, D.L. Thomas, D. Gianola, R.J. Tempelman and L.D. Young.
1997. Genetic analysis of discrete reproductive traits in sheep using linear and
nonlinear models. I. Estimation of genetic parameters. Journal of Animal
Science 75: 76-87.
97. C.A.P. Matos , D.L. Thomas, D. Gianola, M. Perez-Enciso and L.D. Young.
1997. Genetic analysis of discrete reproductive traits in sheep using linear and
nonlinear models. II. Goodness of fit and predictive ability. Journal of Animal
Science 75: 88-94.
98. S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 1997. Factors affecting
liability to intra-mammary infection and mastitis: an approximate Bayesian
analysis. Journal of Dairy Science 80: 75-85.
1998 99. K.A. Weigel, T. M. Fisher, C. van der Linde, D. Gianola and R. Rekaya. 1998.
Impact of bovine somatotropin on genetic evaluation of dairy sires and cows.
Journal of Dairy Science 81: 2045-2051.
100. S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 1998. Bayesian analysis
of susceptibility to intra-mammary infection in Holstein cattle via Gibbs
sampling. Journal of Dairy Science 81: 2710-2722.
101. D. A. Sorensen, D. Gianola and I. R. Korsgaard. 1998. Bayesian mixed
effects model analysis of a censored normal distribution with animal breeding
applications. Acta Agriculturae Scandinavica 48: 222-229.
13

102. I. Stranden and D. Gianola. 1998 Attenuating effects of preferential
treatment with Student-t mixed linear models: a simulation study. Genetics,
Selection, Evolution 30:565-583.
1999 103. I. Stranden and D. Gianola. 1999. Mixed effects linear models with tdistributions
for quantitative genetic analysis: a Bayesian approach. Genetics,
Selection, Evolution 31: 25-42.
104. D. Gianola. 1999. Review of Robert, C.P. (1996) Methodes de Monte Carlo
par Chaines de Markov. 340pp. Collection “Statistique mathématique et
probabilité”. Economica, Paris. Genetics, Selection, Evolution 31: 101-102.
(invited)
105. D. Gianola. 1999. Invited annotated translation of “Les criteres statistiques
et la subjectivite de la connaisance scientifique” (“Statistical methods and the
subjective basis of scientific knowledge”), by G. Malecot 1947, Annales de
l’Universite de Lyon, X: 43-74. Genetics, Selection, Evolution 31, 269-298.
(invited)
106. R.J. Tempelman and D. Gianola. 1999. Genetic analysis of fertility in dairy
cattle using negative binomial mixed models. Journal of Dairy Science 82: 1834-
1847.
2000 107. D. Gianola. 2000. Statistics in Animal Breeding. Journal of the American
Statistical Association 95: 296-299. Special 2000 issue on Statistics in the Life
and Medical Sciences (inv ited)
108. C.A.P. Matos, D.L. Thomas, D. Gianola, M. Perez-Enciso and L.D. Young.
2000. Genetic analyses of lamb survival in Rambouillet and Finsheep flocks by
linear and threshold models. Animal Science 71: 227-234.
109. S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 2000. Evaluation of
models for somatic cell score lactation patterns in Holsteins. Livestock
Production Science 67, 19-30.
110. S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 2000. An approximate
Bayesian analysis of somatic cell score curves in Holsteins. Acta Agriculturae
Scandinavica 50, 291-299.
2001 111. D. A. Sorensen, R. L. Fernando and D. Gianola. 2001. Inferring the
trajectory of genetic variance in the course of artificial selection. Genetical
Research 77, 83-94.
112. R. Rekaya, K. A. Weigel and D. Gianola. 2001. Hierarchical nonlinear model
for persistency of milk yield in the first three lactations of Holsteins. Livestock
Production Science 68, 181-187.
113. G.J.M. Rosa, D. Gianola and J. I. Urioste. 2001. Assessing relationships
between genetic evaluations using robust regression with an application to
Holsteins in Uruguay. Acta Agriculturae Scandinavica, Section A 51, 21-34.
114. J. I. Urioste, D. Gianola, R. Rekaya, W. F. Fikse and K. A. Weigel. 2001.
Evaluation of extent and amount of heterogeneous variance for milk yield in
Uruguayan Holsteins. Animal Science 72, 259-268.
115. R. Rekaya, K. A. Weigel and D. Gianola. 2001. Application of a structural
model for genetic covariances in international dairy sire evaluations. Journal of
Dairy Science 84, 1525-1530.
116. G. J. M Rosa and D. Gianola. 2001. Comparative inference about the
coefficient of correlation in the standard bivariate normal distribution. South
African Statistical Journal 35, 69-93.
117. J. Jamrozik, D. Gianola and L. R. Schaeffer. 2001. Bayesian estimation of
genetic parameters for test-day records in dairy cattle using linear hierarchical
models. Livestock Production Science 71, 223-240.
14

118. Yu-Mei Chang, Romdhane Rekaya, D. Gianola and David L. Thomas. 2001.
Genetic variation of lactation curves in dairy sheep: a Bayesian analysis of
Wood's function. Livestock Production Science 71, 241-251.
119. B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel.
2001. Bayesian analysis of liability to clinical mastitis in Norwegian cattle with a
threshold model: effects of data sampling method and model specification.
Journal of Dairy Science 84, 2337-2346.
120. S. F. Guo, D. Gianola, R. Rekaya and T. Short. 2001. Bayesian analysis of
lifetime performance in Landrace sows using a linear mixed model with
censoring. Livestock Production Science 72, 243-252.
121. R. Rekaya, K. A. Weigel and D. Gianola. 2001. Threshold model for
misclassified binary responses with applications to animal breeding. Biometrics
57, 1123-1129.
122. H. N. Kadarmideen, R. Rekaya and D. Gianola. 2001. Genetic parameters
for clinical mastitis in Holstein-Friesians in the United Kingdom: a Bayesian
analysis. Animal Science 73, 229-240.
2002 123. G. J. M. Rosa, B. S. Yandell and D. Gianola. 2002. A Bayesian approach for
constructing genetic maps when markers are miscoded. Genetics, Selection,
Evolution 34: 353-369.
124. Chang, Y. M., R. Rekaya, D. Gianola and D. L. Thomas. 2002. Genetic
variation of lactation curves in dairy sheep: quadratic function versus Wood's
model. Livestock Production Science 77, 147-153.
2003 125. B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel.
2003. Genetic change for clinical mastitis in Norwegian cattle: a threshold
model analysis. Journal of Dairy Science 86:369-375.
126. B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel.
2003. Bivariate analysis of liability to clinical mastitis and to culling in firstlactation
cows. Journal of Dairy Science 86: 653-660.
127. D. Gianola, M. Perez-Enciso and M. A. Toro. 2003. On marker-assisted
prediction of genetic value: beyond the ridge. Genetics 163: 347-365.
128. I. R. Korsgaard, M. S. Lund, D. Sorensen, D. Gianola, P. Madsen and J.
Jensen. 2003. Multivariate Bayesian analysis of Gaussian, right censored
Gaussian, ordered categorical and binary traits using Gibbs sampling. Genetics,
Selection, Evolution 35: 159-183.
129. G. J. M. Rosa, C. R. Padovani and D. Gianola. 2003. Robust linear mixed
models with normal/independent distributions and Bayesian MCMC
implementation. Biometrical Journal 45: 573-590.
130. R. Rekaya, K. A Weigel and D. Gianola. 2003. Bayesian estimation of
parameters of a structural model for genetic covariances between milk yield in
five regions of the USA. Journal of Dairy Science 86: 1837-1844.
131. B. Heringstad, Y. M. Chang, D. Gianola, and G. Klemetsdal. 2003. Genetic
analysis of longitudinal trajectory of clinical mastitis in first-lactation Norwegian
Cattle. Journal of Dairy Science 86: 2676-2683.
132. M. Perez-Enciso, M. A. Toro, M. Tenenhaus and D. Gianola. 2003.
Combining gene expression and molecular marker information for mapping
complex trait genes: a simulation study. Genetics 164, 1597-1606.
133. J. H. Jakobsen, R. Rekaya, J. Jensen, D. A. Sorensen, P. Madsen, D.
Gianola, L. G. Christensen, and J. Pedersen. 2003. Bayesian estimates of
covariance components between lactation curve parameters and disease liability
in Danish Holstein cows. Journal of Dairy Science 86, 3000-3007.
134. J. Ødegård, J. Jensen, P. Madsen, D. Gianola, G. Klemetsdal and B.
15

Heringstad. 2003. 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 86, 3694-3703.
135. J. I. Urioste, R. Rekaya, D. Gianola, W. F. Fikse and K. A. Weigel. 2003.
Model comparison for genetic evaluation of milk yield in Uruguayan Holsteins.
Livestock Production Science 84, 63-73.
136. D. Caraviello, K. A. Weigel and D. Gianola. 2003. Analysis of the
relationship between type traits, inbreeding and functional survival in Jersey
cattle using a Weibull proportional hazards model. Journal of Dairy Science 86,
2984-2989.
137. R. Rekaya, D. Gianola, K. A. Weigel and G. E. Shook. 2003. Longitudinal
random effects models for genetic analysis of binary data with application to
mastitis in dairy cattle. Genetics, Selection, Evolution 35, 457-468.
138. M. Piles, D. Gianola, L. Varona and A. Blasco. 2003. Bayesian inference
about parameters of a longitudinal trajectory when selection operates on a
correlated trait. Journal of Animal Science 81, 2714-2724.
2004 139. D. Gianola, J. Ødegård, B. Heringstad, G. Klemetsdal, D. Sorensen, P.
Madsen, J. Jensen and J. Detilleux. 2004. Mixture model for inferring
susceptibility to mastitis in dairy cattle: a procedure for likelihood-based
inference. Genetics, Selection, Evolution 36, 3-27.
140. D. Z. Caraviello, K. A. Weigel, and D. Gianola. 2004. 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 87, 1469-1476.
141. Y. M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2004.
Longitudinal analysis of clinical mastitis at different stages of lactation in
Norwegian cattle. Livestock Production Science 88, 251-261.
142. Heringstad, B., Y. M. Chang, D. Gianola, and G. Klemetsdal. 2004.
Multivariate Threshold model analysis of clinical mastitis in multiparous
Norwegian Dairy Cattle. Journal of Dairy Science 87, 3038-3046.
143. D. Gianola and D. Sorensen. 2004. Quantitative genetic models for
describing simultaneous and recursive relationships between phenotypes.
Genetics 167, 1407-1424.
144. D. Caraviello, K. A. Weigel and D. Gianola. 2004. Analysis of the
relationship between type traits and functional survival in US Holstein cattle
using a Weibull proportional hazards model. Journal of Dairy Science 87, 2677-
2686.
145. G. J. M. Rosa, D. Gianola and C. R. Padovani. 2004. Bayesian longitudinal
data analysis with mixed models and thick-tailed distributions using MCMC.
Journal of Applied Statistics 31, 855-873.
146. D. Z. Caraviello, K. A. Weigel, and D. Gianola. 2004. Prediction of
longevity breeding values for US Holstein sires using survival analysis
methodology. Journal of Dairy Science 87, 3518-3525.
147. Y. M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2004. Effects of
trait definition on genetic parameter estimates and sire evaluation for clinical
mastitis with threshold models. Animal Science 79, 355-364.
2005 148. B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2005. Genetic
association between susceptibility to mastitis and protein yield in Norwegian
dairy cattle. Journal of Dairy Science 88, 1509-1514.
149. P. J. Boettcher, P. Moroni, G. Pisoni and D. Gianola. 2005. Application of a
finite mixture model to somatic cell scores of Italian goats. Journal of Dairy
Science 88, 2209-2216.
16

150. D. Gianola. 2005. Prediction of random effects in finite mixture models
with Gaussian components. Journal of Animal Breeding and Genetics 122, 145-
160.
151. I. M. Andersen-Ranberg, B. Heringstad, D. Gianola, Y. M. Chang and G.
Klemetsdal. 2005. Comparison between bivariate models for 56-d nonreturn
and interval from calving to first insemination in Norwegian dairy cattle. Journal
of Dairy Science 88, 2190-2198.
152. B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2005. Genetic
Analysis of Clinical Mastitis, Milk Fever, Ketosis and Retained Placenta in the
first three lactations of Norwegian Red Cows. Journal of Dairy Science 88, 3273-
3281.
153. J. Ødegård, J. Jensen, P. Madsen, D. Gianola, G. Klemetsdal and B.
Heringstad. 2005. A Bayesian Liability-Normal mixture model for analysis of a
continuous mastitis-related trait. Journal of Dairy Science 88, 2652-2659.
154. O. Gonzalez-Recio, Y. M. Chang, D. Gianola and K. A. Weigel. 2005.
Number of Inseminations to conception in Holstein Cows using censored
records and time-dependent covariates. Journal of Dairy Science 88, 3655-
3662.
2006 155. Hugo Naya, Daniel Gianola, Héctor Romero, Jorge I. Urioste and Héctor
Musto. 2006. Inferring parameters shaping amino-acid usage in prokaryotic
genomes via Bayesian MCMC methods. Molecular Biology and Evolution 23,
203-211.
156. Y. M. Chang, I. M. Andersen-Ranberg, B. Heringstad, D. Gianola and G.
Klemetsdal. 2006. Bivariate analysis of number of services to conception and
days open in Norwegian Red using a censored threshold-linear model. Journal
of Dairy Science 89, 772-778.
157. O. Gonzalez-Recio, Y. M. Chang, D. Gianola and K. A. Weigel. 2006.
Comparison of models using different censoring scenarios for days open in
Spanish Holstein cows. Animal Science 82, 233-239.
158. D. Gianola, R. L. Fernando and A. Stella. 2006. Genomic assisted
prediction of genetic value with semi-parametric procedures. Genetics 173,
1761-1776.
159. B. Heringstad, D. Gianola, Y. M. Chang, J. Ødegård and G. Klemetsdal.
2006. Genetic associations between clinical mastitis and somatic cell score in
early first lactation cows. Journal of Dairy Science 89, 2236-2244.
160. G. de los Campos, D. Gianola, P. Boettcher and Paolo Moroni. 2006. A
structural equation model for describing relationships between somatic cell
score and milk yield in dairy goats. Journal of Animal Science 84, 2934-2941.
161. D. Gianola, B. Heringstad and J. Ødegård. 2006. On the quantitative
genetics of mixture characters. Genetics 173, 2247-2255.
162. Y. M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2006. A
comparison between multivariate slash, Student-t and probit threshold models
for analysis of clinical mastitis in first lactation cows. Journal of Animal Breeding
and Genetics 123, 290-300.
163. B. Heringstad, Y. M. Chang, I. M. Andersen-Ranberg and D. Gianola. 2006.
Genetic analysis of number of mastitis cases and number of services to
conception using a censored threshold model. Journal of Dairy Science 89,
4042-4048.
164. B. Heringstad, I. M. Andersen-Ranberg, Y. M. Chang, and D. Gianola.
2006. Genetic Analysis of Nonreturn Rate and Mastitis in First-Lactation
Norwegian Red Cows. Journal of Dairy Science 89, 4420-44423.
165. O. González-Recio, R. Alenda, Y. M. Chang, K. A. Weigel, and D. Gianola
Selection for Female Fertility Using Censored Fertility Traits and Investigation of
17

the Relationship with Milk Production. Journal of Dairy Science 89, 4438-4444.
166. G. de los Campos, D. Gianola, and B. Heringstad. 2006. A Structural
Equation Model for Describing Relationships Between Somatic Cell Score and
Milk Yield in First-Lactation Dairy Cows. Journal of Dairy Science 89, 4445-4455.
167. D. Gulisija, D. Gianola, K. A. Weigel and M. A. Toro. 2006. Betweenfounder
heterogeneity in inbreeding depression for production in Jersey cows.
Livestock Science 104, 244-253.
168. D. Z. Caraviello, K. A. Weigel, M. Craven, D. Gianola, N. B. Cook, K. V.
Nordlund, P. M. Fricke and M. C. Wiltbank. 2006. Analysis of reproductive
performance of lactating cows on large dairy farms using machine
learning algorithms. Journal of Dairy Science 89, 4703-4722.
169. D. Gianola, and H. Simianer. 2006. A thurstonian model for quantitative
genetic analysis of ranks: A Bayesian approach. Genetics 174, 1613-
1624.
2007 170. P. J. Boettcher, D. Caraviello and D. Gianola. 2007. Genetic analysis of
somatic cell Scores of Holstein cows with a Bayesian mixture model. Journal of
Dairy Science 90, 435-443.
171. D. Gulisija, D. Gianola and K. A. Weigel. 2007. Nonparametric analysis of
the impact of inbreeding on production in Jersey cows. Journal of Dairy Science
90, 493-500.
Papers Submitted to Refereed Journals
Submitted L. Varona, W. Mekkawy, D. Gianola and A. Blasco. 2006. A whole genome
analysis using robust asymmetric distributions. Genetical Research (accepted)
Submitted G. De los Campos and D. Gianola. 2006. Factor analysis of the quantitative
genetics model. Genetics, Selection, Evolution (submitted)
Submitted Y.M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2006. Fourier analysis
of longitudinal binary responses: a case study of clinical mastitis in Norwegian
Red cows. Genetics, Selection, Evolution (submitted)
Submitted J. I. Urioste, Y. M. Chang and D. Gianola. 2007. Genetic variability of calving
success in Spring calving Aberdeen Angus cows. Animal Science (submitted)
Submitted M. Rodrigues-Motta, D. Gianola, B. Heringstad, G. Rosa and Y. M. Chang. 2007.
A zero-inflated Poisson model for genetic analysis of number of mastitis cases in
Norwegian Red cows. Journal of Dairy Science (submitted)
Submitted X. L. Wu, B. Heringstad, Y. M. Chang, G. de los Campos and D. Gianola. 2007.
Inferring relationships between somatic cell score and milk yield using
simultaneous and recursive models. Journal of Dairy Science (accepted)
Submitted B. Heringstad, Y. M. Chang, M. Svendsen and D. Gianola. 2007. Genetic Analysis
of calving difficulty and stillbirth in Norwegian Red Cows. Journal of Dairy
Science (submitted)
Submitted S. König, X. L. Wu, D. Gianola. B. Heringstad and H. Simianer. 2007.
Exploration of relationships between claw disorders and milk yield in Holstein
cows via recursive linear and threshold models. Journal of Dairy Science
(submitted)
Papers Published in Proceedings and Other Publications
Invited
D. Gianola. 1981. A primer on genetic improvement of swine. Pork Industry Conference (1981):
1-23. University of Illinois at Urbana-Champaign.
18

D. Gianola, C. Legault and J. C. Caritez. 1982. Evaluation of Chinese Swine Germplasm in
France: Preliminary Results. Pork Industry Conference (1982):39-55. University of Illinois at
Urbana-Champaign.
D. Gianola and J. L. Foulley. 1983. New techniques of prediction of breeding value for
discontinuous traits. Proc. 32nd National Breeders Roundtable, St. Louis, Missouri. pp. 128-154.
D. Gianola. 1986. An overview of non-linear mixed models in animal breeding. In "Mixed
models--applications and analysis." pp. 14-17. Proc. Workshop on the Interface of Practice and
Theory. Institut fur Mathematik, Universitat Augsburg.
D. Gianola, J. L. Foulley and R. L. Fernando. 1986. Prediction of breeding values when variances
are not known. Proc. 3rd Wld. Cong. Genet. App. Liv. Prod. 12:356-37.
D. Gianola. 1988. Inferences on quantitative genetic parameters from data in natural
populations. Proc. 14th International Biometrics Conference. 103-116. Soc. Adolphe Quetelet,
Gembloux, Belgium.
D. Gianola. 1988. Aspectos metodologicos de la evaluacion genetica por la prolificidad en el
ganado porcino. I. Congreso Monografico Internacional "Mejora genetica del ganado porcino."
Vol. 2, Lorca, Spain. 23 pp.
J.L. Foulley, M. San Cristobal, D. Gianola and S. Im. 1990. Marginal likelihood and Bayesian
approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models.
Fifth International Workshop on Statistical Modelling, pp. 77-90, Toulouse, France.
D. Gianola and J. L. Foulley. 1990. Can BLUP and REML be improved upon? Proc. 4th Wld.
Cong. Genet. App. Liv. Prod. XIII:445-449.
H. L. Chang, R. L. Fernando and D. Gianola. 1990. An evaluation of maximum likelihood
estimators of non-additive genetic variances. Proc. 4th Wld. Cong. Genet. App. Liv. Prod.
XIII:437-440.
D. Gianola, K.A. Weigel and R.J. Tempelman. 1991. New developments in estimation of
breeding values. Proc. Congresso Int. Zootecnia, Evora, Portugal. 21 pp.
D. Gianola. 1991. Theory of genetic evaluation and its application in developed countries. In:
Mejoramiento genético animal en el Uruguay en vísperas del mercosur (Ed. D. Gianola). Serie
Técnica. 12:41-44. INIA, Uruguay.
D. Gianola. 1991. Un sistema educativo que le sirva a la sociedad. Análisis & Desafíos 1(1):13-
15.
D. Gianola. 1992. El mejoramiento genetico en la ganaderia uruguaya. Análisis & Desafíos
1(10):32-36.
D. Sorensen, S. Andersen, J. Jensen, C.S. Wang and D. Gianola. 1994. Inferences about genetic
parameters using the Gibbs sampler. Proc. 5th Wld. Cong. Genet. App. Liv. Prod. 18: 321-328.
D. Gianola, S. Rodriguez-Zas y G. E. Shook. 1994. Algunas aplicaciones del método de muestreo
Gibbs en genética cuantitativa. J.M. Martin Sanchez, J. Fibla and M. Aldea, Eds., Proc. XXIX
Jornadas Luso-Españolas de Genetica, VI 33-45 . Edicions de la Universitat de Lleida, Spain.
19

D. Gianola, S. Rodriguez-Zas and G. E. Shook. 1994. The Gibbs sampler in the animal model: a
primer. J.L. Foulley and M. Molenat , Eds., Proc. Séminaire Modele Animal , 47-56. Institut
National de la Recherche Agronomique, Jouy-en-Josas, France.
D. Gianola, I. Stranden and J. L. Foulley. 1995. Modelos lineales mixtos con distribuciones-t:
potencial en genetica cuantitativa. Actas, Quinta Conferencia Española de Biometria 3-4,
Valencia, Spain.
R. J. Tempelman and D. Gianola. 1996. Bayesian implementation of generalized linear mixed
models in animal breeding. Proc. 18th International Biometrics Conference, Invited Papers
Volume, 141-150. Amsterdam, the Netherlands.
D. Gianola, M. Piles and A. Blasco. 1999. Bayesian inference about parameters of a longitudinal
trajectory when selection operates on a correlated trait. Proceeding of International Symposium
in Animal Breeding and Genetics, pp. 101-132. Suprema Grafica e Editora Ltda., Brasil.
D. Gianola. 1999. Statistical methods in animal breeding: past and present. Congresso de
Melhoramento Genetico, Resumos e Comunicacoes: Melhoramento Animal, pp. 13-22. Associacao
Internacional de Estudantes de Agricultura. Universidade de Tras-os-Montes e Alto Douro,
Portugal.
D. Gianola. 1999. Statistical methods in animal breeding: wherefrom and whereto? European
Association for Animal Production, 50th Annual Meeting, Zurich, Switzerland, 22 pp.
D. Sorensen, R. Fernando and D. Gianola. 2000. Inferring the trajectory of genetic variance in
the course of artificial selection. Proceedings of the X Reunion de Mejora Genetica Animal (June
8-9, Caldes de Montbui, Catalunya), 1-26, Unitat de Genetica i Millora, Universitat Autonoma de
Barcelona.
D. Gianola. 2000. Mixed models in animal breeding: from Henderson to Bayes. Proceedings of the
XXth International Biometric Conference at the University of California, Berkeley. Volume II
(Invited Program), 65-70. International Biometric Society, Washington DC.
D. Gianola, R. Rekaya, G. J. M. Rosa and A. Sanches. 2002. Advances in Bayesian methods for
quantitative genetic analysis. Proceedings of the 7 th World Congress of Genetics Applied to
Livestock Production 32, 215-222.
D. Gianola. 2003. On marker assisted improvement of livestock in the post-genomics era. In:
“Molecular Approaches to Genetic Improvement”. Proceedings of the Beef Improvement
Federation, 8 th Genetic Prediction Workshop, pp. 109-120.
D. Gianola. 2005. Some novel statistical approaches for analysis of health and fertility traits in
livestock. Pp. 95-115. Livro de Comunicacoes. XV Congreso de Zootecnia- 1 er Congresso Ibero-
Americano de Zootecnia. Associacio Portuguesa dos Engenheiros Zootecnicos. Vila Real, Portugal.
D. Gianola. 2006. Statistics in animal breeding: angels and demons. Proceedings of the 8 th World
Congress of Genetics Applied to Livestock Production (CD Paper 00-03, 8 pp.). Belo Horizonte,
Instituto Prociencia, Brasil.
Contributed
D. Gianola and J. L. Foulley. 1982. Non-linear prediction of latent genetic liability with binary
expression: an empirical Bayes approach. Proc. 2nd Wld. Cong. Genet. Appl. Liv. Prod. 7:293-
303.
20

F. W. M. Macedo and D. Gianola. 1987. Bayesian analysis of univariate mixed models with
informative priors. European Association for Animal Production. 38th Annual Meeting. Lisbon,
Portugal. 35 pp.
J. L. Foulley, D. Gianola, M. San Cristobal and S. Im. 1989. Inference relative a l'heterogeneite
des variances residuelles en modele lineaire mixte Gaussien via une function de lien
logarithmique. XXI emes Journees de Statistiques, Vol. 2:99-102. Societe Francaise de
Biometrie.
J. L. Foulley, D. Gianola and S. Im. 1989. A simple algorithm for computing marginal maximum
likelihood estimates of variance component and its relation to EM. Proc. 47th Session of the Int.
Stat. Inst. 1:337-338.
M. San Cristobal, J. L. Foulley and D. Gianola. 1990. Inference about heterogeneous ucomponents
of variance in mixed linear models. European Association for Animal Production. 41st
Annual Meeting. Toulouse, France. 14 pp.
M. Perez-Enciso and D. Gianola. 1991. Estimates of direct, maternal and permanent
environmental variances for reproductive traits in Iberian pigs. European Association for Animal
Production. 42nd Annual Meeting, Berlin, Germany. 8 pp.
M. Perez-Enciso, R.L. Fernando and D. Gianola. 1992. The use of the uncertain relationship
matrix for computing inbreeding effective population size. European Association for Animal
Production. 43rd Annual Meeting, Madrid, Spain, 10 pp.
C.S. Wang and D. Gianola. 1993. Gibbs for pigs. European Association for Animal Production.
44th Annual Meeting, Århus, Denmark, 36 pp.
C.A.P. Matos, D.L. Thomas. L.D. Young and D. Gianola. 1994. Analysis of lamb survival using
linear and threshold models with maternal effects. Proc. 5th Wld. Cong. Genet. App. Liv. Prod.
18: 426-429.
R.J. Tempelman and D. Gianola. 1994. Estimation of genetic variance for overdispersed count
data with an animal breeding application. Joint Statistical Meetings, Toronto, Canada, 23 pp.
D. Gianola and D. A. Sorensen. 1996. A mixed effects threshold model with a t-distribution.
European Association for Animal Production. 47th Annual Meeting, Lillehammer, Norway, 15 pp.
I. Stranden and D. Gianola. 1997. Gaussian versus Student-t mixed effects linear models for milk
yield in Ayrshire cattle. European Association for Animal Production. 48th Annual Meeting,
Vienna, Austria, 16 pp.
I. R. Korsgaard, D. A. Sorensen and D. Gianola. 1998. Multivariate analysis of censored normal,
ordered categorical and Gaussian traits using Gibbs sampling and data augmentation. Proc. 6th
Wld. Cong. Genet. App. Liv. Prod. 25: 493-496.
S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 1998. Bayesian analysis of nonlinear mixed
effects models for somatic cell score lactation patterns in Holsteins. Proc. 6th Wld. Cong. Genet.
App. Liv. Prod. 25: 497-500.
I. Stranden and D. Gianola. 1998. Inferences about variance components in the univariate mixed
linear t-model using Laplacian-t approximations. Proc. 6th Wld. Cong. Genet. App. Liv. Prod. 25:
21

537-540.
I. Stranden and D. Gianola. 1998. Comparison of Gaussian and t mixed effects linear models in
analyses of milk yield in dairy cattle. Yearbook of the Finnish Statistical Society 1997: 71-80.
I. R. Korsgaard, M. S. Lund, D. Sorensen, D. Gianola, P. Madsen and J. Jensen. 1999. Multivariate
Bayesian analysis of Gaussian right censored Gaussian, ordered categorical data and binary traits
using Gibbs sampling. Proceedings of Computational Cattle Breeding 99 Workshop. INTERBULL
Bulletin 20, 79-92. Uppsala, Sweden.
B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel. 1999. Bayesian analysis of
heritability of liability to clinical mastitis in Norwegian cattle with a threshold model. European
Association for Animal Production, 50th Annual Meeting, Zurich, Switzerland, 8 pp.
R. Rekaya, K. A. Weigel, and D. Gianola. 1999 Estimation of parameters of a structural model for
genetic covariances in international genetic evaluations. Proceedings of the INTERBULL Open
Meeting, Zurich, Switzerland, August 26-27, INTERBULL Bulletin 22, 25-30. Uppsala, Sweden.
G. J. M. Rosa and D. Gianola. 1999. Inferences about the coefficient of correlation in the
standard bivariate normal distribution. Technical Report 99-04. Universidade Estadual Paulista,
Botucatu, SP, Brasil.
K. A. Weigel, R. Rekaya, F. Fikse, N. Zwald and D. Gianola. 2000. Preliminary report on
international dairy sire evaluation using individual performance records. Proceedings of the 2000
INTERBULL Meeting, Bled, Slovenia, May 14-15, 2000. Interbull Bulletin 25: 3-7.
K. A. Weigel, R. Rekaya, F. Fikse, N. Zwald and D. Gianola. 2000. Data structure and
connectedness issues in international dairy sire evaluations. Proceedings of the 2000 INTERBULL
Meeting, Bled, Slovenia, May 14-15, 2000. Interbull Bulletin 25: 26-30.
R. Rekaya, K. A. Weigel and D. Gianola. 2000. Threshold model for misclassified binary responses
with applications to animal breeding. European Association for Animal Production, 51th Annual
Meeting, the Hague, the Netherlands, 11 pp.
H. N. Kadarmideen, R. Rekaya and D. Gianola. 2000. Genetic analysis of repeated mastitis
episodes with Bayesian longitudinal threshold models. European Association for Animal
Production, 51th Annual Meeting, the Hague, the Netherlands, 5 pp.
J. H. Jakobsen, R. Rekaya, J. Jensen, D. Sorensen, D. Gianola, P. Madsen, L. G. Christensen and
J. Pedersen. 2000. Genetic correlations between milk yield persistency and disease liability in
Danish Holsteins. European Association for Animal Production, 51th Annual Meeting, the Hague,
the Netherlands, 15 pp.
M. Piles, A. Blasco, D. Gianola and L. Varona. 2000. Bayesian inference about parameters of
growth curves in rabbits when selection operates on growth rate. European Association for
Animal Production, 51th Annual Meeting, the Hague, the Netherlands, 8 pp.
B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K.A. Weigel. 2000. Bivariate analysis of
liability to clinical mastitis and to culling in first lactation Norwegian cattle. European Association
for Animal Production, 51th Annual Meeting, the Hague, the Netherlands, 6 pp.
A. Blasco, M. Piles, D. Gianola and L. Varona. 2001. Analisis bayesiano de datos longitudinales
con modelos no-lineales en poblaciones sometidas a un proceso de seleccion. VIII Conferencia
Española de Biometria. Pamplona, May 28-30, 23 pp.
22

B. Heringstad, R. Rekaya, D. Gianola. G. Klemetsdal and K. A. Weigel. 2001. Posterior distribution
of genetic trend for clinical mastitis in the Norwegian cattle population with a threshold model.
European Association for Animal Production, 52nd Annual Meeting, Budapest, Hungary, 8 pp.
B. Heringstad, G. Klemetsdal, R. Rekaya, and D. Gianola. 2001. Effect of 20 years of selection
against clinical mastitis in the Norwegian Cattle population. Proceedings of the 2nd International
Symposium on Mastitis and Milk Quality, 326-330. Vancouver, BC, Canada, September 13-15.
Y. M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2002. A multivariate-t threshold model
for clinical mastitis in Norwegian cattle. Proceedings of the 7 th World Congress of Genetics
Applied to Livestock Production 32, 189-192.
B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2002. Analysis of clinical mastitis in
Norwegian cattle with a longitudinal threshold model. . Proceedings of the 7 th World Congress of
Genetics Applied to Livestock Production 32, 501-504.
G. J. M. Rosa, N. De Leon, B. S. Yandell and D. Gianola. 2002. Joint QTL search and genetic map
construction using Bayesian MCMC methods. Proceedings of the 7 th World Congress of Genetics
Applied to Livestock Production 32, 601-604.
Y. M. Chang, D. Gianola, J. Ødegård, J. Jensen, P. Madsen, D. Sorensen, G. Klemetsdal and B.
Heringstad. 2003. Evaluation of a Monte Carlo EM algorithm for likelihood inference in a finite
normal mixture model with random effects. European Association for Animal Production, 54 th
Annual Meeting, Rome, Italy, 4 pp.
B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2003. Multivariate threshold model
analysis of clinical mastitis in the first three lactations of Norwegian dairy cattle. European
Association for Animal Production, 54 th Annual Meeting, Rome, Italy, 9 pp.
H. Jorjani and D. Gianola. 2003. A test of ignorability of selection under the infinitesimal model.
Interbull Bulletin 31, 37-44.
Heringstad, B., Chang, Y. M., Gianola, D. and Klemetsdal, G. 2003. Multivariate threshold model
analysis of clinical mastitis in the first three lactations of Norwegian Dairy Cattle. International
Cattle Breeders Round Table, Peebles, Scotland, December 15-17.
Bjørg Heringstad, Yu-Mei Chang, Daniel Gianola, and Gunnar Klemetsdal. 2005. Genetic
improvement of mastitis resistance in Norwegian Red cattle. Proceedings of the 4 th International
Dairy Federation International Mastitis Conference.
J. Ødegård, P. Madsen, D. Gianola, G. Klemetsdal, J. Jensen, B. Heringstad, and I. R. Korsgaard.
2005. Use of SCC in genetic selection for reduced incidence of mastitis: a mixture model
approach. Proceedings of the 4 th International Dairy Federation International Mastitis Conference.
B. Heringstad, I. M. Andersen-Ranberg, Y. M. Chang and D. Gianola. 2006. Genetics analysis of
mastitis and number of services to conception in Norwegian red using a censored threshold
model. Proceedings of the 8 th World Congress of Genetics Applied to Livestock Production (CD
Paper 01-19, 4 pp).
Y. Gevrecki, Y. M. Chang, K. Kizilkaya, D. Gianola, K. A. Weigel and Y. Akbas. 2006. Bayesian
inference for calving ease and stillbirth in Holsteins using a bivariate threshold sire-maternal
grandsire model. Proceedings of the 8 th World Congress of Genetics Applied to Livestock
Production (CD Paper 01-26, 4 pp). Belo Horizonte, Instituto Prociencia, Brasil.
23

E. Santellano-Estrada, J. de Alba, Y. M. Chang, D. Gianola, R. Ramirez-Valverde and C. M.
Becerril-Perez. 2006. Lactation curve in tropical milking criollo using random regression test-day
models. Proceedings of the 8 th World Congress of Genetics Applied to Livestock Production (CD
Paper 16-17, 4 pp). Belo Horizonte, Instituto Prociencia, Brasil.
H. Naya, J. I. Urioste, Y. M. Chang, M. Rodrigues-Motta, R. Kremer and D. Gianola. 2006. Poisson
and Zero inflated Possion regression applied to the modeling of black spots in Corriedale sheep.
Proceedings of the 8 th World Congress of Genetics Applied to Livestock Production (CD Paper 24-
09, 4 pp). Belo Horizonte, Instituto Prociencia, Brasil.
M. Rodrigues-Motta, D. Gianola, Y. M. Chang and B. Heringstad. 2006. A zero-inflated Poisson
model for genetic analysis of number of mastitis cases in Norwegian red cows. Proceedings of the
8 th World Congress of Genetics Applied to Livestock Production (CD Paper 26-05, 4 pp). Belo
Horizonte, Instituto Prociencia, Brasil.
J. I. Urioste, Y. M. Chang and D. Gianola. 2006. Genetic analysis of calving success in Uruguay
Aberdeen Angus cows using threshold models. . Proceedings of the 8 th World Congress of
Genetics Applied to Livestock Production (CD Paper 03-12, 4 pp). Belo Horizonte, Instituto
Prociencia, Brasil.
Abstracts
D. Gianola, G. E. Shook and W. J. Tyler. 1972. Variation in gestational traits of Holsteins. J.
Anim. Sci. 35:1087.
M. F. Rothschild, A. B. Chapman, R. H. Towner, D. Gianola and R. G. Cassens. 1975. Variation
in serum cholesterol levels of swine. J. Anim. Sci. 41:257.
D. Gianola, A. B. Chapman and J. J. Rutledge. 1976. Body weight of rats with and without
radiation history. J. Anim. Sci. 43:216.
D. Gianola, A. B. Chapman and J. J. Rutledge. 1976. Genetic parameters of body weight in
ancestrally irradiated rats. J. Anim. Sci. 43:216.
D. Gianola, A. B. Chapman and J. J. Rutledge. 1976. Selection for body weight in ancestrally
irradiated rats. J. Anim. Sci. 43:217.
D. Gianola. 1979. Interval estimation of percentage of heterosis. J. Anim. Sci. 49
(Suppl. 1):158.
S. Portnoy and D. Gianola. 1979. Maximizing the probability of correctly ordering random
variables using selection indexes. J. Anim.Sci. 49 (Suppl. 1):170.
D. Gianola. 1979. Maximum likelihood techniques for threshold characters. J. Anim. Sci. 49
(Suppl. 1):158.
D. Gianola. 1979. Distribution of offspring-parent and sib-sib statistics in relation to joint
estimation of genetic parameters. J. Anim. Sci. 49 (Suppl. 1):158.
D. Gianola. 1979. Confidence intervals on animal crossbreeding parameters. Proc. of the Xth
International Biometrics Conference, Guaruja, Sao Paulo, Basil. (p. 104).
D. Gianola. 1979. Estimation of genetic covariance from joint regression and analysis of
24

variance statistics. Proc. of the Xth International Biometrics Conference, Guaruja, Sao Paulo,
Brasil. (p. 103).
D. Gianola. 1980. Genetic evaluation of quasi-continuous traits with a mixed linear logistic
model. J. Anim. Sci. 51 (Suppl. 1):118.
R. L. Fernando, R. D. Billingsley, D. Gianola and G. E. Ricketts. 1981. Heritability estimates and
sire evaluations for frame score at weaning in Illinois Angus cattle. J. Anim. Sci. 53
(Suppl.1):139.
R. L. Fernando, D. Gianola and H. W. Norton. 1981. Methods of scaling ordered categories with
an underlying genetic component. J. Anim. Sci. 53 (Suppl. 1):139.
R. D. Billingsley, R. L. Fernando, D. Gianola and G. E. Ricketts. 1981. A possible source of bias
in sire evaluation for weaning weight. J. Anim. Sci. 53 (Suppl. 1):136.
L. H. Thompson, B. A. Pudalov and D. Gianola. 1981. Effects of breed, age and body weight on
scrotal circumference of young bulls. J. Anim. Sci. 53 (Suppl. 1).
R. L. Fernando, M. Grossman and D. Gianola. 1982. An algorithm to identify all connected
subsets in a two-way classification. J. Anim. Sci. 55 (Suppl. 1):146.
B. A. Pudalov, R. L. Baker, D. Gianola and L. P. Johnson. 1982. Alternative scales for genetic
evaluation of type traits in Holstein cattle. J. Anim. Sci. 55 (Suppl. 1):159.
M. W. A. Verstegen, S. E. Curtis and D. Gianola. 1982. Energetics of dry sows in stalls during
cold weather. J. Anim. Sci. 55 (Suppl. 1):203.
S. D. Kachman and D. Gianola. 1983. A predictor of genetic merit for parameters describing
growth in a nonlinear fashion. J. Anim. Sci. 57 (Suppl. 1):155.
S. D. Kachman, R. L. Baker and D. Gianola. 1983. Genetic and phenotypic variability of
estimated growth curve parameters in mice. J. Anim. Sci. 57 (Suppl. 1):155.
R. L. Fernando, R. L. Baker and D. Gianola. 1983. Assortative mating on a linear combination of
two traits. J. Anim. Sci. 57 (Suppl. 1):150.
D. Gianola and J. L. Foulley. 1983. Prediction of sire merit when the trait is an ordered
categorical response. J. Dairy Sci. (Suppl. 1)66:118.
D. Gianola and J. L. Foulley. 1983. Multiple trait sire evaluation for a mixture of "all or none"
and quantitative traits. J. Dairy Sci. (Suppl. 1)66:118.
W. N. Mwenya, D. Gianola, R. L. Baker and M. Grossman. 1983. Response to selection for pupa
weight with and without assortative mating in Tribolium castaneum. J. Dairy Sci. (Suppl.1)
66:114.
S. A. Knights, R. L. Fernando, D. Gianola and J. B. Gibb. 1983. Genetic correlations between
birth, weaning and yearling weight of bulls, and age at first calving in Angus cattle. J. Anim. Sci.
57 (Suppl. 1):80.
D. Gianola and S. D. Kachman. 1983. Prediction of breeding value in situations with nonlinear
structure: categorical responses, growth functions and lactation curves. 34th Annual Meeting,
European Association of Animal Production, Madrid. Summaries, p. 172.
25

R. L. Fernando, R. L. Baker and D. Gianola. 1983. Assortative mating and selection: some
computer simulation results. 34th Annual Meeting, European Association of Animal Production,
Madrid. Summaries, p. 116.
W. N. M. Mwenya, D. Gianola, R. L. Baker and M. Grossman. 1983. Assortative mating and
selection: an experimental study with Tribolium castaneum. 34th Annual Meeting, European
Association of Animal Production, Madrid. Summaries, p. 118.
J. L. Foulley, D. Gianola and R. Thompson. 1983. Multiple trait sire evaluation in the case of one
binary response and continuous variates. 34th Annual Meeting, European Association of Animal
Production, Madrid. Summaries, p. 66.
W. N. Mwenya and D. Gianola. 1984. Estimates of genetic parameters in randomly or
assortatively mated Tribolium castaneum. J. Anim. Sci. 58 (Suppl. 1):82.
R. L. Fernando and D. Gianola. 1984. Joint effect of assortative mating and selection on genetic
progress. J. Anim. Sci. 58 (Suppl. 1):82.
A. L. Carriquiry, R. L. Fernando, D. Gianola and M. Grossman. 1984. Effects of major genes on
response to selection: a computer simulation. J. Anim. Sci. 58 (Suppl. 1):82.
Hanford, K. J., S. D. Kachman and D. Gianola. 1984. Response to divergent selection for age or
weight at vaginal opening in mice. J. Anim. Sci. 59 (Suppl. 1):162.
S. D. Kachman and D. Gianola. 1984. A Bayesian estimator of variance and covariance
components in nonlinear growth models. J. Anim. Sci. 59 (Suppl. 1):176.
S. D. Kachman and D. Gianola. 1984. Genetic evaluation from models including "regulating"
traits. J. Anim. Sci. 59 (Suppl. 1):177.
R. L. Fernando and D. Gianola. 1984. Optimal properties of the conditional mean as a selection
criterion. J. Anim. Sci. 59 (Suppl. 1):177.
R. L. Fernando and D. Gianola. 1984. An optimal two-stage selection procedure. J. Anim. Sci.
59 (Suppl. 1):177.
A. L. Carriquiry, R. L. Fernando and D. Gianola. 1985. Estimation and prediction from a
censored multivariate normal distribution. J. Anim. Sci. 61 (Suppl. 1):79.
R. L. Fernando and D. Gianola. 1985. Effect of assortative mating on genetic change due to
selection in a finite population. J. Anim. Sci. 61 (Suppl. 1):80.
D. Gianola and R. L. Fernando. 1985. Inferences about breeding values when the variancecovariance
structure is unknown. J. Anim. Sci. 61 (Suppl. 1):80.
A. L. Carriquiry, R. L. Fernando and D. Gianola. 1985. Analysis of multiple traits when one
variate is censored. J. Anim. Sci. 61 (Suppl. 1):219.
R. L. Fernando, D. Gianola and C. R. Henderson. 1985. Inferences on breeding values and on
genetic and environmental parameters when selection and non-random mating occur. J. Anim.
Sci. 61 (Suppl. 1):219.
I. Hoschele, J. L. Foulley, J. J. Colleau and D. Gianola. 1985. Genetic evaluation for multiple
26

inary responses. 36th Annual Meeting, European Association for Animal Production, Kallithea.
Summaries, p. 86.
J. L. Foulley, D. Planchenault and D. Gianola. 1986. Sire evaluation with uncertain paternity. J.
Anim. Sci. 63 (Suppl. 1):91.
D. Gianola. 1986. Selection with heterogeneous variance. J. Anim. Sci. 63 (Suppl. 1):91.
J.L. Foulley and D. Gianola. 1986. Genetic evaluation for multiple binary responses when
information is missing on some traits. J. Dairy Sci. 69 (Suppl. 1):209.
I. Misztal and D. Gianola. 1987. Solving mixed model equations by iterating on data. J. Anim.
Sci. 65 (Suppl. 1):96.
I. Hoschele, M. F. Rothschild and D. Gianola. 1987. A Bayesian approach to recursive estimation
of breeding values with categorical data. J. Anim. Sci. 65 (Suppl. 1):97.
R. L. Fernando and D. Gianola. 1987. The exact distribution of the offspring-parent regression
estimator of heritability. J. Anim. Sci. 65 (Suppl. 1): 98.
D. Gianola, J. L. Foulley and S. Im. 1987. Quantitative genetic analysis of count variates. J.
Anim. Sci. 63 (Suppl. 1): 91.
D. Gianola, J. L. Foulley and S. Im. 1987. A model for joint genetic evaluation of prolificacy and
mortality (survival) in a polytocous species. J. Anim. Sci. 65 (Suppl. 1):92.
S. Im and D. Gianola. 1987. Mixed models for binomial data with an application to lamb
mortality. J. Anim. Sci. 65 (Suppl. 1):32.
H. L. Chang, D. Gianola, R. A. Easter, L. H . Thompson and S. A. Williamson. 1987. Joint effects
of fraternity size, plane of nutrition and nursing schedule on pig growth from birth to 20 weeks of
age. J. Anim. Sci. 65 (Suppl. 1): 99.
H. L. Chang, D. Gianola, R. A. Easter, L. H. Thompson and S. A. Williamson. 1987. Joint effects
of fraternity size, plane of nutrition and nursing schedule on reproduction in pigs. J. Anim. Sci.
65 (Suppl. 1): 99.
D. Gianola, S. Im, R. L. Fernando and J. L. Foulley. 1987. Transformations in variance
component estimation and sire evaluation. J. Dairy Sci. 70 (Suppl. 1):123.
I. Hoeschele, D. Gianola and J. L. Foulley. 1987. Estimation of variance components with quasicontinuous
data using Bayesian methods. J. Dairy Sci. 70 (Suppl. 1):124.
I. Misztal and D. Gianola. 1987. Computing aspects of a nonlinear method of sire evaluation for
categorical data. J. Dairy Sci. 70 (Suppl. 1):124.
S. Im, J. L. Foulley and D. Gianola. 1987. A linear model for genetic evaluation of categorical
traits. J. Dairy Sci. 70 (Suppl. 1):124.
J. A. Colaco, R. L. Fernando and D. Gianola. 1987. Variability in milk production among sires,
herds and cows in Portuguese dairy cattle. Summaries, 38th Annual Meeting of the EAAP,
Lisbon:188.
J. A. Colaco, R. L. Fernando and D. Gianola. 1987. Estimation and evaluation of age correction
27

factors for milk yield in Portuguese dairy cattle. Summaries, 38th Annual Meeting of the EAAP,
Lisbon:190.
I. Misztal, D. Gianola, I. Hoeschele and S. Im. 1988. Relaxing the assumption of normality and
constant variance in threshold models. J. Anim. Sci. 66 (Suppl. 1):103.
H. W. Soto, R. L. Baker, D. Gianola, D. B. Faulkner and G. F. Cmarik. 1988. Genotype x
environment interactions on pre-weaning performance of beef calves. I. Sire x pasture program
effects. J. Anim. Sci. 66 (Suppl. 1):106.
H. W. Soto, R. L. Baker, D. Gianola, D. B. Faulkner and G. F. Cmarik. 1988. Genotype x
environment interactions on pre-weaning performance of beef calves. II. Breed of sire x breed of
dam x pasture program effects. J. Anim. Sci. 66 (Suppl. 1):107.
H. L. Chang, R. L. Fernando and D. Gianola. 1988. A note on computing additive relationship.
J. Anim. Sci. 66 (Suppl. 1):99.
J. I. Weller, I. Misztal and D. Gianola. 1988. Genetic analysis of dystocia in the Israeli-Holstein
population by threshold and linear models. J. Anim. Sci. 66 (Suppl. 1):101.
D. Gianola and F. W. Macedo. 1988. Remarks on prediction of breeding values with unknown
variances. J. Anim. Sci. 66 (Suppl. 1):103.
S. Im and D. Gianola. 1988. Nonlinearity of offspring-parent regression with binary
observations. J. Anim. Sci. 66 (Suppl. 1):103.
H. L. Chang, R. L. Fernando and D. Gianola. 1988. A computationally efficient method to invert
an additive x additive relationship matrix. J. Anim. Sci. 66 (Suppl. 1):220.
H. L. Chang, R. L. Fernando and D. Gianola. 1988. A note on ranking sires for a trait with
epistatic variance. J. Anim. Sci. 66 (Suppl. 1):220.
R. L. Fernando, D. Gianola and S. Im. 1988. Ignorability of selection in estimation of parameters
by maximum likelihood. J. Dairy Sci. 71 (Suppl. 1):261.
D. Gianola, R. L. Fernando, S. Im and J. L. Foulley. 1988. Maximum likelihood estimation of
parameters in a mixed model under Henderson's conditional selection scheme. J. Dairy Sci. 71
(Suppl. 1):261.
D. Gianola, R. L. Fernando and S. Im. 1988. Maximum likelihood estimation of parameters
under two selection models. Genome 30 (Suppl. 1):25.
I. Hoschele and D. Gianola. 1988. Comparison of maximum quasi-likelihood and approximate
Bayes estimation with categorical data. J. Dairy Sci. 71 (Suppl. 1):263.
S. Im, R. L. Fernando and D. Gianola. 1988. Likelihood inferences in animal breeding under
selection: a missing data theory viewpoint. J. Dairy Sci. 71 (Suppl. 1):262.
J. I. Weller, I. Misztal and D. Gianola. 1988. Genetic analysis of dystocia and calf mortality in
Israeli Holsteins by threshold and linear models. J. Dairy Sci. 71 (Suppl. 1):241.
J. L. Foulley, D. Gianola and I. Misztal. 1988. Evaluation genetique Bayesienne pour des
responses polytomiques ordonees. XXemes Journees de Statistiques de Grenoble, France.
28

J. L. Foulley, S. Im, D. Gianola and I Hoschele. 1988. Estimation Bayesienne empirique des
parametres de position d'un modele a seuils multidimensionnel relatif a N caracteres
polygeniques binaires. XXemes Journees de Statistiques de Grenoble, France.
J. L. Foulley, D. Gianola and S. Im. 1988. Propositions pour une analyse genetique conjointe de
caracteres de reproduction et de viabilite. XXemes Journees de Statistiques de Grenoble, France.
R. J. C. Cantet, D. Gianola and R. L. Fernando. 1989. Comparison of some designs for
estimation of additive direct and maternal genetic parameters. J. Anim. Sci. (Suppl. 2):85.
J. L. Foulley, D. Gianola, M. San Cristobal, S. Im and R. J. C. Cantet. 1989. Modelling and
estimating heterogeneous residual variances in a mixed linear model using a log-link function. J.
Anim. Sci. 72(Suppl. 1):35.
K. J. Hanford, S. D. Kachman, R. L. Baker and D. Gianola. 1989. Genetic parameters for age or
weight at vaginal opening in mice. J. Anim. Sci. 72(Suppl. 1):64.
D. Gianola, J. L. Foulley, R. L. Fernando and C. R. Henderson. 1989. A Bayesian model for
estimation of heterogeneous variance. Summaries, 1:245. 40th Annual Meeting of the European
Association for Animal Production.
K. A. Weigel, C. A. Matos, I. H. C. Chen, R. J. Tempelman, L. L. Lo., R. Bunge, T. Wang, and D.
Gianola. 1990. Improving estimates of fixed effects in a mixed linear model. I. Theory. J. Anim.
Sci. 68(Suppl. 1):231.
K. A. Weigel, T. Wang, R. Bunge, L. L. Lo, R. J. Tempelman, I. H. C. Chen, C. A. Matos and D.
Gianola. 1990. Improving estimates of fixed effects in a mixed linear model. II. Evaluation of
estimators. J. Anim. Sci. 68(Suppl. 1):231-232.
R. J. Cantet, D. Gianola and R. L. Fernando. 1990. Comparison of quadratic and likelihood
estimators of direct and maternal genetic parameters. J. Dairy Sci. 73(Suppl.1): 249.
R. J. C. Cantet, D. Gianola and R. L. Fernando. 1990. Bayesian inference on dispersion
parameters in models with maternal affects: theoretical considerations. J. Dairy Sci. 73 (Suppl.
1): 249.
D. G. McLaren, B. R. White, M. B. Wheeler, W. L. Hurley, P. A. Clamp, H. W. Gonyou, F. K.
McKeith, J. Novakofski, R. I. Mackie, L. B. Schook, P. J. Dziuk and D. Gianola. 1990. Evaluation of
Chinese swine breeds: early results at the University of Illinois and research plans. In M. Molenat
and C. Legault (Eds.). Symposium sur le porc Chinois. pp. 115-116. INRA, Jouy-en-Josas.
J. L. Foulley, M. San Cristobal, D. Gianola and S. Im. 1990. Marginal likelihood and Bayesian
approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models.
5th Int. Workshop on Statistical Modelling. pp. 77-90. Toulouse, France.
R. J. Tempelman and D. Gianola. 1991. Evaluation of a Poisson animal model for genetic
evaluation of embryo yields in a MOET scheme. J. Dairy Sci. 74 (Suppl. 1): 157.
K. A. Weigel and D. Gianola. 1991. Empirical Bayes estimation of heterogeneous within-herd
variance components and implications in prediction of breeding values. J. Dairy Sci. 74 (Suppl.
1): 158.
M. Perez-Enciso and D. Gianola. 1991. Estimation of direct, maternal and permanent
29

environmental variances for reproductive traits in Iberian pigs. Zusammen fassungent, 42.
Jahrestagung der Europaischen Vereinigung fur Tierproduktion 1:204-205.
K.A. Weigel and D. Gianola. 1992. A simple Bayesian method for estimation of heterogeneous
phenotypic variances. J. Dairy Sci. 75(Suppl. 1):250.
R.J. Tempelman and D. Gianola. 1992. A normal-Poisson model with censoring for analysis of
reproductive traits. J. Dairy Sci. 75(Suppl. 1):249.
C.S. Wang, J.J. Rutledge and D. Gianola. 1992. Marginal inference about variance components
in a mixed linear model using Gibbs sampling. J. Anim. Sci. 70 (Suppl. 1):145.
M. Perez-Enciso, R.J. Tempelman and D. Gianola. 1992. A comparison between linear and
Poisson mixed linear models for litter size in Iberian pigs. Summaries. 43rd Annual Meeting of
the European Association for Animal Production 1:34-35.
M. Perez-Enciso, R.L. Fernando and D. Gianola. 1992. The use of the uncertain relationship
matrix for computing inbreeding effective population size. Summaries. 43rd Annual Meeting of
the European Association for Animal Production 1:264-265.
D. Gianola and M. Perez-Enciso. 1992. On the posterior distribution of the additive relationship
matrix. Summaries. 43rd Annual Meeting of the European Association of Animal Production
1:272-273.
C.S. Wang and D. Gianola. 1993. Gibbs for pigs. Abstracts. 44th Annual Meeting of the
European Association for Animal Production. 1: 263.
S. L. Rodriguez-Zas, G. E. Shook and D. Gianola. 1994. Experiments in Bayesian analysis with
Gibbs sampling. J. Dairy. Sci. 77 (Suppl. 1): 58.
S. L. Rodriguez-Zas, G. E. Shook and D. Gianola. 1995. Bayesian analysis of susceptibility to
mastitis via posterior mode approximation and Gibbs sampling. J. Dairy Sci. 78 (Suppl. 1): 245.
D. Sorensen and D. Gianola. 1995. Gibbs sampling for likelihood and Bayesian inference in
quantitative genetics. Abstracts. 46th Annual Meeting of the European Association for Animal
Production. 1: 1. (invited)
D. Gianola. 1995. Some Bayesian models in animal breeding. Abstracts. Third World Meeting of
the International Society for Bayesian Analysis, Oaxaca, Mexico. pages 30-31. (invited)
S. L. Rodriguez-Zas, B. R. Southey and D. Gianola. 1996. Bayesian analysis of ordered breeding
values. J. Anim. Sci 74 (Suppl. 1): 28.
D. Gianola and D. A. Sorensen. 1996. A mixed effects threshold model with a t-distribution. Book
of Abstracts of the 47th Annual Meeting of the European Association for Animal Production. 2:
47. Wageningen Pers.
J. L. Foulley and D. Gianola. 1996. A structural heteroskedastic threshold model. Book of
Abstracts of the 47th Annual Meeting of the European Association for Animal Production. 2: 48.
Wageningen Pers.
D. Gianola and I. Stranden. 1996. Mixed effects linear models with t-distributions and
applications in animal breeding. Abstracts. Fourth World Meeting of the International Society for
Bayesian analysis, Cape Town, South Africa, page 12. (invited)
30

S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 1997. Nonlinear mixed effects models for
somatic cell count test-day data in Holstein cattle. J. Dairy Sci. 80 (Suppl 1): 227.
I. Stranden and D. Gianola. 1997. Robust versus Gaussian mixed linear models under simulated
preferential treatment. J. Dairy Sci. 80 (Suppl 1) : 227.
I. Stranden and D. Gianola. 1997. Gaussian versus t mixed effects linear models for milk yield in
Ayrshire cattle. Book of Abstracts of the 48th Annual Meeting of the European Association for
Animal Production 3: 55. Wageningen Pers.
S. L. Rodriguez-Zas, D. Gianola and G. E. Shook. 1997. Nonlinear Bayesian modeling of somatic
cell score lactation patterns in dairy cows. Proc.Conf. on Statistical Analysis of Correlated Data: a
Conference Marking the 50th Anniversary of the Department of Statistics at Iowa State
University. Abstracts: 11.
G.J.M. Rosa, D. Gianola and J.I. Urioste. 1998. On the relationship between two genetic
evaluations of Holsteins in Uruguay. J. Anim Sci. 76 (Suppl. 1): 78.
R. Rekaya, S.L. Rodriguez-Zas, D. Gianola and G.E. Shook. 1998. Test-day models for
longitudinal binary responses: an application to mastitis in Holsteins. Book of Abstracts of the
49th Annual Meeting of the European Association for Animal Production.4: 44. Wageningen Pers.
D. Gianola, R. Rekaya, S.L. Rodriguez-Zas and G.E. Shook. 1998. Genetic analysis of mastitis in
dairy cattle with a longitudinal random effects probit model. Sixth Valencia International Meeting
on Bayesian Statistics. Abstracts: 76.
G. J. M. Rosa, D. Gianola and C. R. Padovani 1998. Bayesian analysis of some robust mixed linear
models with an application to birth weight in mice. Sixth Valencia International Meeting on
Bayesian Statistics. Abstracts: 122.
S.L. Rodriguez-Zas, B.R. Southey, R.L. Baker and D. Gianola. 1999. Multiple-trait analysis of
resistance to parasite end-points in pure and crossbred Red Maasai and Dorper sheep. J. Anim.
Sci. 77 (Suppl. 1): 32.
S.L. Rodriguez-Zas, R.L. Baker and D. Gianola. 1999. Nonlinear mixed effects models for
indicators of resistance to internal parasites in sheep. J. Anim. Sci. 77 (Suppl. 1): 34.
Rekaya, K.A. Weigel and D. Gianola. 1999. Comparison between traditional and fuzzy-logic
definitions of herd-year-season groups in Holsteins. J. Anim. Sci. 77 (Suppl. 1): 33.
R. Rekaya, K.A. Weigel and D. Gianola. 1999. Genetic parameters of persistency of milk yield in
the first three lactations. J. Dairy Sci. 82 (Suppl. 1): 52
Korsgaard, I. R., M. S. Lund, D. Sorensen, P. Madsen and D. Gianola. 1999. Multivariate analysis
of Gaussian, right-censored Gaussian, ordered categorical and binary traits. Book of Abstracts of
the 50th Annual Meeting of the European Association for Animal Production.5: 30. Wageningen
Pers.
D. Gianola. 1999. Statistical methods in animal breeding: wherefrom and whereto? Book of
Abstracts of the 50th Annual Meeting of the European Association for Animal Production.5: 25.
Wageningen Pers. (invited)
R. Rekaya, K. Weigel and D. Gianola. 1999. Bayesian estimation of parameters of a structural
31

model for genetic covariances between milk yield in five regions of the United States. Book of
Abstracts of the 50th Annual Meeting of the European Association for Animal Production.5: 29.
Wageningen Pers.
B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel. 1999. Bayesian analysis of
heritability to clinical mastitis in Norwegian cattle with a threshold model. Book of Abstracts of
the 50th Annual Meeting of the European Association for Animal Production.5: 59. Wageningen
Pers.
R. Rekaya, K. A. Weigel and D. Gianola. 1999. Structural model for genetic covariances between
milk yield in five regions of the USA. Journal of Dairy Science 82 (Suppl. 1): 116.
I. R. Korsgaard, M. S. Lund, D. Sorensen, D. Gianola, P. Madsen and J. Jensen. 1999.
Multivariate analysis of Gaussian, right-censored Gaussian, ordered categorical and binary traits.
Book of Abstracts of the 50th Annual Meeting of the European Association for Animal
Production.5: 30. Wageningen Pers.
G. J. M. Rosa and D. Gianola. 1999. Estimating the coefficient of correlation in the standard
bivariate normal distribution. Abstracts, 44th Annual Meeting of the International Biometrics
Society, Brazilian Region.
I. Korsgaard, I. R., M. S. Lund, D. Sorensen, P. Madsen and D. Gianola. 1999. Multivariate
Bayesian analysis of Gaussian, right-censored Gaussian, ordered categorical and binary traits
using Gibbs sampling. Journal of Animal Science 77 (Suppl. 1) :140.
K. A. Weigel, R. Rekaya and D. Gianola. 2000. International genetic evaluation of dairy sires
using individual performance records and herd clusters. Journal of Dairy Science (submitted)
Yu-Mei Chang, R. Rekaya, D. Gianola and D. L. Thomas. 2000. Genetic variation of lactation
curves in dairy sheep: Wood’s model versus a quadratic function. Journal of Animal Science 78
(Suppl. 1): 56
B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel. 2000. Associations
between liability to clinical mastitis and culling in Norwegian cattle. Journal of Dairy Science 78
(Suppl. 1): 73.
D. Gianola and R. Rekaya. 2000. Bayesian random regression models for longitudinal binary data
with applications to dairy cattle breeding. Symposium on Selected Topics in Variance Components
Analysis. University of Florida, Department of Statistics. (invited)
M. Piles, A. Blasco, D. Gianola and Varona L. 2000. Bayesian inference about parameters of
growth curves in rabbits when selection operates on growth rate. Book of Abstracts of the 51th
Annual Meeting of the European Association for Animal Production 6: 92. Wageningen Pers.
R. Rekaya, K. A. Weigel and D. Gianola. 2000. Structuring the residual covariance matrix in the
analysis of longitudinal binary data. Journal of Dairy Science 83 (Suppl. 1): 56
S. Guo, D. Gianola and T. Short. 2000. Bayesian analysis of lifetime performance and prolificacy
in Landrace sows using a linear mixed model with censoring. Journal of Animal Science 78
(Suppl. 1): 68.
R. Rekaya, K.A. Weigel, D. Gianola, B. Heringstad and G. Klemetsdal. 2000.Methods for
attenuating bias of variance component estimates in threshold models when herds are small.
Journal of Dairy Science 83 (Suppl. 1): 56.
32

B. Heringstad, R. Rekaya, D. Gianola, G. Klemetsdal and K. A. Weigel. 2000. Bivariate analyses of
liability to clinical mastitis and culling in first lactation Norwegian cattle. Book of Abstracts of the
51th Annual Meeting of the European Association for Animal Production, 6: 79. Wageningen Pers.
H.N. Kadarmideen, R. Rekaya and D. Gianola. 2000. Genetic analysis of repeated mastitis
episodes with Bayesian longitudinal threshold models. Book of Abstracts of the 51th Annual
Meeting of the European Association for Animal Production 6: 78. Wageningen Pers.
J.H. Jakobsen, R. Rekaya, J. Jensen, D.A. Sorensen, D. Gianola, P. Madsen, L.G.
Christensen and J. Pedersen. 2000. Genetic correlation between milk yield persistency and
disease liability in Danish Holsteins. Book of Abstracts of the 51th Annual Meeting of the
European Association for Animal Production 6: 79. Wageningen Pers.
H.N. Kadarmideen, R. Rekaya and D. Gianola. 2000. Genetic analysis of mastitis in dairy cattle
with a Bayesian threshold model. Proceedings of the British Society of Animal Science,
Scarborough, United Kingdom, March 20-22, page 16.
Y. M. Chang, R. Rekaya, D. Gianola and D. L. Thomas. 2000. Genetic variation of Wood’s
lactation curves in dairy sheep: a Bayesian approach. Journal of Animal Science (in press)
S. Guo, D. Gianola and T. Short. 2000. Analysis of length of productive life and of life-time
prolificacy using survival models. Journal of Animal Science (Suppl. 2) 78: 31
D. Gianola. 2000. Mixed models in animal breeding: from Henderson to Bayes. Proceedings of the
XXth International Biometric Conference at the University of California, Berkeley. Volume I, 79.
International Biometric Society, Washington DC. (invited)
G. J. M. Rosa, D. Gianola and C. Padovani. 2000. Bayesian robust longitudinal data analysis via
MCMC. Proceedings of the XXth International Biometric Conference at the University of California,
Berkeley. Volume I, 118. International Biometric Society, Washington DC.
R. Rekaya, K. A. Weigel and D. Gianola. 2000. Bayesian analysis of misclassified binary data.
Book of Abstracts of the 51th Annual Meeting of the European Association for Animal Production
6: 95. Wageningen Pers.
D. Z. Caraviello, K. A. Weigel and D. Gianola. 2001. Analysis of the relationship between linear
type traits, inbreeding, and survival in US Jersey cows. Journal of Dairy Science (Suppl. 1) 84: 24.
Y. M. Chang, R. Rekaya, D. Gianola, B. Heringstad and G. Klemetsdal. 2001.
Correlations between clinical mastitis at different stages of lactation in Norwegian
cattle using a multivariate threshold model. Journal of Dairy Science (Suppl. 1) 84: 110.
G. J. M. Rosa, R. Sartori, M. C. Wiltbank and D. Gianola. 2001. Bayesian analysis of skewed
Gaussian models: an application to reproductive traits in dairy cattle. Journal of Dairy Science
(Suppl. 1) 84: 111.
P. Lopez-Romero, R. Rekaya, Y. M. Chang, D. Gianola and M. J. Carabano. 2001. Comparison of
random regression test-day models using Bayes factors. Journal of Dairy Science (Suppl. 1) 84:
112.
G. J. M. Rosa, B. S. Yandell and D. Gianola. 2001. A Bayesian approach for constructing genetic
maps when genotypes are miscoded. Journal of Dairy Science (Suppl. 1) 84: 190.
33

R. Rekaya, K. A. Weigel and D. Gianola. 2001 Bayesian inference in linear mixed models using a
Dirichlet process prior. Book of Abstracts of the 52th Annual Meeting of the European Association
for Animal Production 7: 12. Wageningen Pers.
B. Heringstad, R. Rekaya, D. Gianola. G. Klemetsdal and K. A. Weigel. 2001. Posterior distribution
of genetic trend for clinical mastitis in the Norwegian cattle population with a threshold model.
Book of Abstracts of the 52th Annual Meeting of the European Association for Animal Production
7: 23. Wageningen Pers.
D. Z. Caraviello, K. A. Weigel and D. Gianola. 2002. Analysis of the relationship between linear
type traits, inbreeding and survival in US Jersey cows using a Weibull model. Journal of Dairy
Science (Suppl. 1) 85: 88.
D. Gianola, R. Rekaya, G. J. M. Rosa and A. Sanches. 2002. Advances in Bayesian methods for
quantitative genetic analysis. Book of Abstracts, 7 th World Congress of Genetics Applied to
Livestock Production: 240.
Y. M. Chang, D. Gianola, B. Heringstad and G. Klemetsdal. 2002. A multivariate-t threshold model
for clinical mastitis in Norwegian cattle. Book of Abstracts, 7 th World Congress of Genetics
Applied to Livestock Production: 34.
B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2002. Analysis of clinical mastitis in
Norwegian cattle with a longitudinal threshold model. Book of Abstracts, 7 th World Congress of
Genetics Applied to Livestock Production: 260.
G. J. M. Rosa, N. De Leon, B. S. Yandell and D. Gianola. 2002. Joint QTL search and genetic map
construction using Bayesian MCMC methods. Book of Abstracts, 7 th World Congress of Genetics
Applied to Livestock Production: 284.
D. Gianola, D. Sorensen and R. Waagepetersen. 2003. Model choice in animal breeding: a case
study of litter size in pigs. Abstract Book: 309. American Statistical Association, Institute of
Mathematical Statistics, International Biometrics Society and Statistical Society of Canada.
B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2003. Multivariate threshold model
analysis of clinical mastitis in multiparous Norwegian cattle. Book of Abstracts of the 54th Annual
Meeting of the European Association for Animal Production 9: 25. Wageningen Academic
Publishers.
D. Gulisija, D. Gianola and K. A. Weigel. 2003. Nonparametric analysis of the relationship
between performance and inbreeding in Jersey cows with varying amounts of pedigree
information. Book of Abstracts of the 54th Annual Meeting of the European Association for Animal
Production 9: 26. Wageningen Academic Publishers.
Y. M. Chang, D. Gianola, J. Ødegård, J. Jensen, P. Madsen, D. Sorensen, G. Klemetsdal and B.
Heringstad. 2003. Evaluation of a Monte Carlo EM algorithm for likelihood inference in a finite
normal mixture model with random effects. Book of Abstracts of the 54th Annual Meeting of the
European Association for Animal Production 9: 78. Wageningen Academic Publishers.
J. Ødegård, J. Jensen, P. Madsen, D. Gianola, D. Sorensen, G. Klemetsdal and B. Heringstad.
2003. A Bayesian mixture model for detection of mastitis in dairy cattle by simulated test-day
somatic cell score. Book of Abstracts of the 54th Annual Meeting of the European Association for
Animal Production 9: 79. Wageningen Academic Publishers.
B. Heringstad, Y. M. Chang, D. Gianola and G. Klemetsdal. 2004. Assessment of genetic change
34

for clinical mastitis in Norwegian Dairy Cattle with a multivariate threshold model. Book of
Abstracts of the 55th Annual Meeting of the European Association for Animal Production 10: 13.
Wageningen Academic Publishers.
D. Gianola and D. Sorensen. 2004. Structural equation models for quantitative genetic analysis.
Book of Abstracts of the 55th Annual Meeting of the European Association for Animal Production
10: 89. Wageningen Academic Publishers.
P. Boettcher, D. Gianola, G. Pisoni, C. Vimercati, M. Rinaldi, and P. Moroni. 2004. Application of a
finite mixture model to somatic cell scores of Italian goats. Journal of Dairy Science (Suppl. 1)
87: 87.
D. Z. Caraviello, K. A. Weigel and D. Gianola. 2004. Prediction of longevity breeding values for U.
S. Holstein sires using survival analysis methodology. Journal of Dairy Science (Suppl. 1) 87: 85.
B. Heringstad, Y. M. Chang, D. Gianola and G. KlemetsdaL. 2005. Genetic correlations between
clinical mastitis, milk fever, ketosis, and retained placenta within and between the first three
lactations. Book of Abstracts of the 56th Annual Meeting of the European Association for Animal
Production 11: 45. Wageningen Academic Publishers.
G. de los Campos, D. Gianola and B. Heringstad. 2005. Bivariate recursive and simultaneous
models for milk yield and somatic cell scores. Journal of Animal Science (Suppl. 1) 83: 74.
D. Gulisija, D. Gianola and K. A. Weigel. 2005. Effects of ancestral consanguinity on inbreeding
depression for yield traits and somatic cell score in Jersey cows. Journal of Dairy Science (Suppl.
1) 88: 201.
D. Gulisija, D. Gianola, K. A. Weigel and M. A. Toro. 2005. Between-founder heterogeneity in
inbreeding depression for production and somatic cell score in Jersey cows. Journal of Dairy
Science (Suppl. 1) 88: 202.
D. Caraviello, K. A. Weigel, C. Rawson, N. Zwald, D. Gianola and M. Wiltbank. 2005. Prediction of
reproductive performance on large commercial dairies. Journal of Dairy Science (Suppl. 1) 88:
244.
Monographs
D. Gianola. 1975. Estimability associated with linear models. Mimeo. Department of Meat and
Animal Science and Department of Statistics, University of Wisconsin.
D. Gianola. 1975. A note on the exact variance of the ratio of two linearly related random
variables. Mimeo. Department of Meat and Animal Science, University of Wisconsin.
D. Gianola. 1984. Modelos lineares em Genetica Estatistica. Instituto Universitario de Tras-os-
Montes e Alto Douro, Vila Real, Portugal. 179 pages.
D. Gianola. 1987. Statistical aspects of quantitative genetics with reference to animal breeding.
Class Notes. University of Illinois. 600 pages.
D. Gianola. 1984. Documents de Travail. Cours International Variables Discretes. St. Ferreolle-lac.
ANCADI, Toulouse. 406 pages.
D. Gianola. 1987. Linear and non-linear statistical models for biologists. Class Notes. University
of Illinois. 225 pages.
35

D. Gianola. 1989. Application of Bayesian methods in animal breeding. Class Notes. University
of Illinois. 331 pp.
D. Gianola. 1989. Application of Bayesian methods in animal breeding. Supplementary materials
for course participants. 699 pp.
D. Gianola. 1994. Aplicaciones del método de muestreo Gibbs en biologia y estadistica. Instituto
Nacional de Investigaciones Agrarias, Madrid, Spain. 95 pp.
D. Gianola. 2001. Bayesian analysis of longitudinal data with quantitative genetic applications.
42pp. Class Notes. 46a Reuniao Annual da Regiao Brasileira da Sociedade Internacional de
Biometria e 90 Simposio de Estatistica Aplicada a Experimentacao Agronomica (SEAGRO)-
ESALQ/USP, Piracicaba, SP. Brasil. July 7-13, 2001.
D. Gianola. 2002. Bayesian Inference. 245 pp. Class Notes. Nordic course in animal breeding.
Lillehammer, Norway, October 10-21, 2002.
D. Gianola. 2002. Markov chain Monte Carlo. 187 pp. Class Notes. Nordic course in animal
breeding. Lillehammer, Norway, October 10-21, 2002.
Reports and Miscellaneous Publications
K. V. Ranganathan, J. Burfield, A. Shaw, D. Gianola, A. R. Lucas and E. Siegel. 1976. Appraisal
of a Second Population Project: Jamaica. World Bank Report 1040 b-JM.
D. Gianola and J. M. Fransen. 1976. A report on the progress of Agricultural Research and
Extension Projects supported by the World Bank. Distributed to the Board of Executive Directors
and Regional Offices of the World Bank.
D. Gianola, J. M. Fransen and J. F. Berchesi. 1976. Strengthening of National Agricultural
Research Capabilities by the World Bank Group. Submitted to the Office of the Vice-President,
Development Policy Staff, World Bank.
K. Marshall, F. M. Patorni, R. Khouri and D. Gianola. 1977. Botswana: Second Livestock
Development Project. Appraisal Report 1630-BT, World Bank.
D. Gianola and D. Lallement. 1977. Note technique sur le developpement des ranches Muhila,
Mitwaba et Kayembe-Mukulu. Projet de Developpement de l'elevage-Credit 398-Zaire.
D. Gianola. 1978. Ranch Development. In Supervision Report of the First Livestock
Development Project Credit 398-Zaire, World Bank.
D. Gianola, R. L. Baker, D. J. Kesler, G. F. Cmarik and G. E. Ricketts. 1982. Beef cattle
improvement. In "Update 82," pp. 81-84. Research Report, Dixon Springs Agricultural Research
Center, University of Illinois.
D. Gianola. 1984. Report on short-term assignment. Portugal University Institutes Development
Project (Contract AID/NEC-1701). 26 pp. International Programs in Agriculture, Purdue
University, W. Lafayette.
D. Gianola. 1985. Report on short-term assignment. Portugal University Institutes Development
Project (Contract AID/NEC-1701). 30 pp. International Programs in Agriculture, Purdue
36

University, W. Lafayette.
D. G. McLaren and D. Gianola. 1987. The Chinese Pig Project. Yorkshire Journal. February, 55-
56.
D. Gianola. 1988. Some reflections on directions of beef cattle breeding research. Proc. Joint
Meeting of Regional Beef Cattle Breeding Research Committees. University of Nevada, Reno. 33
pp.
D. Gianola. 1989. Development of methods for genetic analysis of discrete traits of economic
importance in U.S. and Israeli populations. 40 pp. B.A.R.D. Bet Dagan, Israel.
D. Gianola. 1989. Consultoria en Mejoramiento Genetico Animal. Convenio MGAP-IICA: Proyecto
de Generacion y Transferencia de Tecnologia Agropecuaria. 42 pp. Instituto Nacional de
Investigacion Agropecuaria, Montevideo, Uruguay.
D. Gianola. 1995. Estrategia de desarrollo para la Catedra de Zootecnia (Area Mejoramiento
Genetico). 38 pp. Facultad de Agronomia, Universidad de la Republica, Montevideo, Uruguay.
R. R. Frahm, G. W. Anderson, J. E. Kinder, D. Gianola, G. W. Horn and J. D. Tatum. 2001.
Program Review: Animal Dairy Science Department, University of Georgia, November 4-9, 2001.
23 pp. United States Department of Agriculture, Cooperative State Research, Education and
Extension Service: On-site Program Review Report.
LIST OF INVITED RESEARCH PRESENTATIONS
1976 Oklahoma State University,
Stillwater OK
1977 University of Illinois, Urbana,
IL
1980 American. Society of Animal
Science. Ithaca, NY
Estimation of genetic parameters in irradiated
rats.
Selection for body weight in rats.
Theory and analysis of threshold characters.
1980 University of Wisconsin,
Madison, WI
Statistical genetics of discrete data.
1980 Swine Research Meeting.
Harbin, China. 1980
Objectives in pig improvement.
1980 Swine Research Meeting.
Shijazhuang, China
Crossbreeding of swine.
1981 Iowa State University Ames,
IA
New developments in sire evaluation.
1981 Swine Producers Symposium.
Columbus, OH
Conference moderador.
1981 Sociedad Criadores de Ultimos adelantos en genetica de ganado
Holando de Uruguay.
Montevideo, Uruguay
lechero.
1981 Asociacion de Ingenieros
Agronomos de
Uruguay,Montevideo,
Uruguay
Seleccion en ganado lechero.
1981 Facultad de Agronomia, Avances en mejoramiento genetico de ganado
Montevideo, Uruguay lechero.
1982 Centre de Recherches de Discrete data in genetics: methodology and
37

Toulouse, Castanet-Tolosan,
France.
1982 University of Liege at
Brussels, Belgium
1982 University of Edinburgh,
Edinburgh, UK.
problems.
Evaluation des reproducteurs sur un caracter
tout ou rien.
Prediction of genetic merit from jointly
distributed quantal and continuous vectors.
38

1982 Station de Genetique Jouy- Sur l'evaluation genetique des caracteres
en-Josas, France
discretes.
1983 University of Minnesota. St. Basic research needed in quantitative genetics
Paul, MN
to support animal breeding.
1983 European Association for Prediction of breeding value in situations with
Animal Production. Madrid,
Spain.
non-linear structure.
1983 Centre de Recherches de Theoretical consequences of heterospermic
Toulouse. Toulouse, France. progeny testing in polytocous species.
1984 American Society of Animal
Science. Columbia, MO.
Bayesian methods in animal breeding theory.
1985 Iowa State University Ames, Some animal breeding problems from a
IA
Bayesian perspective.
1985 Faculty of Veterinary
Medicine. Lisbon, Portugal
Sire evaluation and its feasibility in Portugal.
1985 Illinois Pork Producers
Association, Springfield, IL
Issues in Swine breeding.
1985 NCR-21 Quantitive Genetics,
Urbana IL
Unknown dispersion in genetic evaluation.
1986 International workshop on An overview of non-linear mixed models in
"Mixed models, applications
and analysis”, Irsee, W.
Germay
animal breeding.
1986 Cornell University Ithaca, NY Prediction of sire merit.
1986 World Congress of Genetics Prediction of breeding values with unknown
Applied to Livestock
Production, Lincoln NE
variances.
1986 Iowa State University Ames,
IA
1986 University of Guelph, Guelph,
Canada
1986 UNESCO, Montevideo,
Uruguay
1986 INTA, Buenos Aires,
Argentina
1987 University of New England
Armidale, Australia
1987 University of New England
Armidale, Australia
1987 New Zealand Dairy Board
Hamilton, New Zealand
1987 University of Chicago,
Chicago IL
1987 Oklahoma State University,
Stillwater OK
1987 University of Illinois, Urbana
IL
Breeding for resistance to disease:
methodological aspects.
Genetic selection with nonlinear models.
Bayes Theorem and Animal Breeding.
Bayes Theorem and Variance Components.
Mixed model methodology and the Box-Cox
Theory.
A framework for prediction of breeding value.
Transformations in animal breeding.
Bayesian estimation of quantitative genetic
parameters.
Beef Cattle breeding research needed for the
future.
Maximum likelihood estimation of genetic
parameters under selection.
39

1988 14 th International Biometrics
Conference, Namur Belgium
1988 XVI International Congress of
Genetics. Toronto, Canada
1988 Joint meeting of NC-1 SRDC
87-16, WRCC-1 Beef Cattle
Breeding Project. Reno NV
1988 Semana nacional de ganado
porcino. Murcia Spain
1988 Symposium in Animal
Breeding, Vila Real, Portugal
1988 Purdue University, Lafayette,
IN
1989 University of Nebraska,
Lincoln NE
1989 Seminar “La Agricultura en el
Siglo XXI” Seville, Spain
1989 Semana National de Ganado
porcino, Lorca Spain
1989 National Institute of Animal
Sciences, Foulum, Denmark
1990 4 th World Congress of
Genetics, Applied to Livestock
Production. Edinburgh,
Scotland
1990 Iowa State University Ames,
IA
1990 4 th World Congress of
Genetics, Applied to Livestock
Production. Edinburgh,
Scotland
1990 University of Wisconsin,
Madison WI
1991 Congresso Internacional de
Zootecnia Portugal
1991 European Association for
Animal Production. Berlin,
Germany
1991 Congreso sobre Mejoramiento
Genetico en el Uruguay.
Montevideo, Uruguay
1991 Congreso sobre Mejoramiento
Genetico en el Uruguay.
Montevideo, Uruguay
1991 Semana Nacional de Ganado
Porcino. Lorca, Spain
Inference on quantitative genetic parameters
from data on natural populations
Statistical genetics and analysis of DNA
sequences (Moderator).
Maximum likelihood of estimation of genetic
parameters under two selection models.
Beef cattle breeding research at national levels:
issues and strategies.
Methodological aspects of genetic evaluation
for prolificacy in pigs.
Mixed model methodology
Estimation of genetic parameters.
The role of Bayesian statistics in animal
breeding.
Bayesian solution to some statistical problems
in animal breeding.
Aspects of animal genetic improvement in the
next two decades.
Estimation of variance components: Bayesian
approaches.
Approaches to estimation of heterogeneous
variances.
Can BLUP and REML be improved?
Beyond REML.
Advances in Selection Theory (Moderator).
Variance component estimation from
integrated likelihoods.
New developments in estimation of breeding
values.
Bayesian estimation of genetic parameters.
Theory of genetic evaluation and its application
in developed countries.
Sobre el mejoramiento genetico en el Uruguay.
Advances in prediction and estimation in
quantitative genetics.
40

1991 Iowa State University. Ames
IA
1992 C.R. Henderson Memorial
Seminar, Cornell University.
Ithaca NY
1992 C.R. Henderson Memorial
Seminar, Cornell University.
Ithaca NY
1992 C.R. Henderson Memorial
Seminar, Cornell University.
Ithaca NY
Inferences about heritability.
A shrinkage approach to estimation of withinherd
components of variance.
Beyond REML estimation of components of
variance.
Uncertainty about the relationship matrix and
application to prediction of breeding values.
1992 Cornell University. Ithaca NY Marginal inferences about variance
components in mixed linear models using Gibbs
sampling.
1992 C.R. Henderson Memorial
Lecture, Cornell University,
Ithaca NY
Bayesian inferences about heritability.
1992 Semana Nacional de Ganado
Porcino,Lorca, Spain
1992 Institut National de la
Recherche Agronomique
Jouy-en-Josas, France
1992 Institut National de la
Recherche Agronomique
Jouy-en-Josas, France
1992 Institut National de la
Recherche Agronomique
Jouy-en-Josas, France
1992 Asociacion Nacional de
Productores de Leche
Montevideo, Uruguay
1992 National Institute of Animal
Sciences Foulum, Denmark
1992 National Institute of Animal
Sciences Foulum, Denmark
1992 EEC Invitational Workshop on
Behavioral Genetics, Foulum,
Denmark
1992 Agricultural University of
Norway, Aas, Norway
1992 Agricultural University of
Norway, Aas, Norway
1992 Agricultural University of
Norway, Aas, Norway
1993 Mejoramiento Lechero.
Montevideo, Uruguay
Nuevos metodos de estimacion de
componentes de varianza.
Posterior distribution of the matrix A.
Gibbs sampling and variance estimation.
Heterogeneous variance: issues and
approaches.
Scope for genetic improvement of dairy cattle
in Uruguay.
Empirical Bayes estimation of within-herd
variances.
Factors affecting variances for milk and fat
yield in U.S. Holsteins.
Poisson models with random effects for
counted data.
Introduction to Bayesian estimation.
Gibbs sampling in variance component
inferences.
Heterogeneous variances and dairy cattle
breeding.
Sire evaluation in the presence of
heterogeneous variance.
41

1993 Latin American Association for
Animal Production, Santiago,
Chile
1993 Agricultural University of
Norway, Aas, Norway
1993 Agricultural University of
Norway, Aas, Norway
1993 USDA Agricultural Research
Service. Beltsville MD
1994 Associaçao Portuguesa de
Engenheiros Zootecnicos. Vila
Real, Portugal
1994 Instituto de Recerca e
Tecnologia Agroalimentaria
Lleida, Spain
1994 Instituto de Recerca e
Tecnologia Agroalimentaria
Lleida, Spain
1994 Universidad Politecnica de
Valencia, Valencia, Spain
1994 Universidad Politecnica de
Valencia, Valencia, Spain
1994 University of Pretoria,
Pretoria, South Africa
1994 Livestock Improvement
Schemes, Irene, South Africa
1994 Livestock Improvement
Schemes, Irene, South Africa
1994 5th World Congress of
Genetics Applied to Livestock
Production, Guelph, Canada
1994 Institut National de la
Recherche Agronomique, La-
Colle-sur-Loup, France
1994 Universidade de Tras-os
Montes e Alto Douro Vila
Real, Portugal
Jornadas Luso-Espanolas de
Genetica. Lleida, Spain
Louisiana State University
Medical Center. New Orleans
LA
Louisiana State University.
Baton Rouge LA
Heterogeneous variance in dairy cattle
breeding.
Bayesian analysis of litter size in pigs. I.
Genetic parameters in Iberian strains.
Bayesian analysis of litter size in pigs. II.
Response to selection in Danish Landrace.
Assessment of response to selection: a
Bayesian view.
Bayesian inference about heritability in a model
with additive effects.
Bayesian assessment of response to selection.
I. Theory.
Bayesian assessment of response to selection.
II. Applications.
Bayesian assessment of response to selection.
I. Theory.
Bayesian assessment of response to selection.
II. Applications.
Statistical genetics and Bayesian inference.
Bayesian assessment of response to selection.
I. Theory.
Bayesian assessment of response to selection.
II. Applications.
Estimation of genetic parameters (Chair).
The Gibbs sampler in the animal model: a
primer.
Estimation of genetic parameters: a critique.
Algunas aplicaciones del metodo de muestreo
de Gibbs en genetica cuantitativa.
Some applications of Gibbs sampling in
quantitative genetics using mixed linear
models.
Bayesian analysis of selection experiments.
42

University of Wisconsin,
Madison WI
1995 Taiwan Livestock Research
Institute Tainan, Taiwan
1995 Taiwan Livestock Research
Institute, Tainan, Taiwan
1995 Spanish Biometric Society
Valencia, Spain
1995 Sociedade Brasileira de
Genetica, Caxambu, Brasil
1995 International Society for
Bayesian Analysis, Oaxaca,
Mexico
1995 Colegio de Postgraduados en
Ciencias Agricolas, Texcoco,
Mexico
1995 Colegio de Postgraduados en
Ciencias Agricolas, Texcoco,
Mexico
1995 Colegio de Postgraduados en
Ciencias Agricolas, Texcoco,
Mexico
1995 University of Edinburgh,
Osborne Memorial Lecture,
Edinburgh, Scotland
1995 Roslin Research Institute,
Edinburgh, Scotland
1995 Danish Institute of Animal
Science, Foulum, Denmark
1996 Michigan State University,
East Lansing MI
1996 Universidad Politencia de
Valencia, Valencia, Spain
1996 Universidade de Tras os
Montes e Alto Douro, Vila
Real, Portugal
1996 University of Copenhagen,
Department of Biostatistics,
Copenhagen, Denmark
1996 Instituto Nacional de
Investigaciones Agrarias,
Madrid, Spain
Applications of Gibbs sampling in hierarchical
linear models for quantitative genetic analysis.
An Introduction to Hierarchical Models is
in Quantitative Genetics.
Selection for prolificay in pigs: a Bayesian
Assessment.
Modelos lineales mixtos con distribuciones-t:
potencial en genética cuantitativa.
Inferences about best, worst and ordered
genetic values in a small population with
unknown variance.
Bayesian methods in animal breeding and
genetics.
Bayesian foundations: an animal breeder’s
point of view.
A Bayesian tour of heritability.
Monte Carlo Markov Chain methods in animal
genetics.
Bayesian models in genetics.
Why Bayesian methods in animal breeding?
Mixed linear models with t-distributed random
effects.
Robust mixed-effects models: a therapy for the
effects of preferential treatment?
Estimacion Bayesiana de la heredabilidad.
Es posible incrementar la prolificidad en suinos
a traves de la seleccion genetica?
Robust mixed effects linear models and
applications in animal breeding.
Nuevos desarrollos en metodos estadisticos
para la genetica cuantitativa.
43

1996 University of Wisconsin
Department of Biostatistics,
Madison WI
1996 Orange Free State University,
Department of Mathematical
Statistics, Bloemfontein,
South Africa
1996 International Society for
Bayesian Analysis, Cape
Town, South Africa
1997 Instituto Nacional de
Investigaciones Agrarias,
Madrid, Spain
1997 Instituto Nacional de
Investigaciones Agrarias,
Madrid, Spain
1997 Instituto Nacional de
Investigaciones Agrarias,
Madrid, Spain
1997 Universidad Politecnica de
Valencia, Valencia, Spain
1997 Universidad Politecnica de
Valencia, Valencia, Spain
1997 Universidad Politecnica de
Valencia, Valencia, Spain
1997 University of Copenhagen,
Department of Biostatistics,
Copenhagen, Denmark
1997 Instituto Nacional de
Investigacion Agropecuaria,
Las Brujas, Uruguay
1997 Instituto Nacional de
Investigacion Agropecuaria,
Las Brujas, Uruguay
1997 Iowa State University, Ames
IA
1998 6 th International Meeting on
Bayesian Statistics,
Alcossebre, Spain
1998 Edigenossiche Technische
Hochschule, Zurich,
Switzerland
1998 Edigenossiche Technische
Hochschule, Zurich,
Switzerland
1998 Italian Holstein Association,
Cremona, Italy
1998 Station de genetique
quantitative et appliquee,
Jouy-en-Josas, France
Bayesian implementation of robust mixed
effects models in animal breeding, with
applications.
Frequentist performance of Bayesian point
estimators in robust mixed effects linear
models.
Mixed-effects linear models with t-distributions
and applications in animal breeding.
An introduction to robust linear mixed models.
A comparison between Gaussian and robust
mixed models.
Univariate and bivariate Gaussian or robust
mixed models for analysis of milk yields in
Finnish Ayrshire cattle.
An introduction to robust linear mixed models.
A comparison between Gaussian and robust
miexed models.
Univariate and bivariate Gaussian or robust
mixed models for analysis of milk yields in
Finnish Ayrshire cattle.
A comparison between Gaussian and t mixed
effects linear models for milk yield in dairy
cattle.
Genetic evaluation of dairy cattle
developments, problems and prerspectives.
On the relationship between two dairy sire
proofs in Uruguay.
Genetic analysis with robust models.
Section on Optimal Design and Spatial
Regressions (Chair).
An introduction to robust linear models for
genetics analysis.
Comparison between Gaussian and robust
models for milk yield in dairy cattle.
Exploiting longitudinal disease data: an
application to mastitis.
Genetic analysis of longitudinal 0-1 variates in
animal breeding.
44

1998 Station de genetique
quantitative et appliquee,
Jouy-en-Josas, France
1998 Institute of Cell, Animal and
Population Biology, University
of Edinburgh, United Kingdom
1998 Instituto Nacional de
Investigacion Agropecuaria,
Montevideo, Uruguay
1998 University of Copenhagen,
Department of Biostatistics,
Copenhagen, Denmark
1998 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
1998 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
1998 University of Wisconsin-
Madison, Madison WI
1999 Agricultural University of
Norway, Aas, Norway
1999 Wageningen Agricultural
University, Wageningen,
Netherlands
1999 University of Valencia,
Department of Mathematics,
Valencia, Spain
1999 European Association for
Animal Production, Zurich,
Switzerland
1999 Universidade Federal de
Vicosa, Vicosa, Brazil
1999 Instituto Nacional de
Investigacion Agropecuaria,
Las Brujas, Uruguay
1999 University of Wisconsin-
Madison, Madison WI
1999 University of Copenhagen,
Copenhagen, Denmark
1999 Universidade de Tras-os
Montes e Alto Douro, Vila
Real, Portulgal
2000 University of Florida,
Gainsville FL
2000 University of Wisconsin-
Madison, Madison WI
Robust genetic analysis with applications in
animal breeding.
Test-day models for longitudinal binary
responses: application to mastitis in Holsteins.
Some novel selection criteria against mastitis in
dairy cattle.
Probit models with random effects for
longitudinal binary responses.
Best linear unbiased prediction under stabilizing
selection.
Test-day models for longitudinal binary
responses: application to mastitis in Holsteins.
Best linear unbiased predition under stabilizing
selection.
A primer on quantitiative genetic analysis with
robust linear models.
An introduction to robust models for
quantitative geneic analysis with applications in
dairy cattle.
Hierarchical models for longitudinal binary
responses.
Statistical methods in animal breeding: where
from and where to?
Statistical methods in animal breeding: an
overview.
Aspectos históricos de los métodos estadísticos
en la mejora genética animal.
Statistical methods in animal breeding.
Statistical methods in quantitative genetics and
animal breeding.
Statistical methods in animal breeding, past
and present.
Bayesian random regression models for
longitudinal binary data with applications to
dairy cattle breeding.
An overview of statistical methods in animal
breeding.
45

2000 Universidad Politecnica de
Valencia, Valencia, Spain
2000 X Reunion de Mejora
Genetica Animal, Caldes de
Montbui, Catalunya, Spain
2000 XXth International Biometric
Conference, Berkeley,
California
2000 University of New England,
Armidale, Australia
2000 University of New England,
Armidale, Australia
2000 University of New England,
Armidale, Australia
2000 University of New England,
Armidale, Australia
2000 University of New England,
Armidale, Australia
2000 New South Wales Department
of Agriculture, Orange,
Australia
2000 AgResearch – New Zealand,
Dunedin, New Zealand
2000 AgResearch – New Zealand,
Hamilton, New Zealand
2000 Iowa State University
Statistics Department, Ames
IA
2000 Iowa State University
Department of Animal
Science, Ames IA
2001 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
2001 Agricultural University of
Norway, Aas, Norway
2001 Agricultural University of
Norway, Aas, Norway
2001 7 th Quantitative Trait Locus
Mapping and Marker Assisted
Selection Workshop, Valencia,
Spain
2001 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
Introduction to Bayesian model averaging.
Inferring the trajectory of genetic variance in
the course of artificial selection.
Mixed models in animal breeding: from
Henderson to Bayes.
Statistical methods in animal breeding: where
from, where to?
Inferring the trajectory of genetic variance in
the course of artificial selection.
Improving predictions via Bayesian model
averaging.
Application for multi-trait and longitudinal
Bayesian threshold modles to dairy cattle
breeding.
A threshold model for misclassified binary
responses.
Statistical methods in animal breeding: where
from, where to?
Statistical methods in animal breeding: where
from, where to?
Inferring the trajectory of genetic variance in
the course of selection.
Bayesian analysis of misclassified binary
responses.
Statistical methods in animal breeding: where
from and where to?
Introduction to Bayesian model averaging.
Introduction to Bayesian model averaging.
Monitoring the genetic variance in the course
of selection.
Section Chair
Introduction to Bayesian model averaging.
46

2001 Agricultural University of
Norway, Aas, Norway
2002 Swedish University of
Agricultural Sciences,
Uppsala, Sweden
2002 Swedish University of
Agricultural Sciences,
Uppsala, Sweden
2002 7 th World Congress of
Genetics Applied to Livestock
Production, Montpellier,
France
2002 7 th World Congress of
Genetics Applied to Livestock
Production, Montpellier,
France
2002 University of Copenhagen,
Copenhagen, Denmakr
2002 Agricultural University of
Norway, Aas, Norway
2002 Panum Institutt, University of
Copenhagen, Copenhagen,
Denmark
2002 Instituto Nacional de
Investigacion Agropecuaria,
Montevideo, Uruguay
2002 Agricultural University of
Norway, Aas, Norway
2002 Universidad Estadual de Sao
Paulo, Ribeirao Preto, Brasil
2002 Danish Institute of
Agriculutural Sciences,
Foulum, Denmark
2003 Gordon Conference in
Quantitative Genetics and
Genomics, Ventura, California
2003 North Carolina State
University (Symposium in
honor of William G. Hill),
Raleigh NC
2003 Agricultural University of
Norway, Aas, Norway
2003 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
2003 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
An introduction to gene expression data
analysis.
What is new in robust models for quantitative
genetic analysis?
An introduction to gene expression data
analysis.
Advances in Bayesian methods for estimation
of quantitative genetic parameters.
New techniques of statistical modeling (Chair)
An introduction to gene expression data
analysis.
Advances in Bayesian methods for estimation
of quantitative genetic parameters.
Advances in robust methods for generalized
linear models.
Advances in Bayesian methods for estimation
of quantitative genetic parameters.
What is new in robust models for quantitative
genetic analysis?
Advances in robust methods for quantitative
genetics.
An introduction to gene expression data
analysis.
Canons and fugues in Bayesian quantitative
genetics.
Statistical genetics and livestock improvement:
where from, where to?
Non-parametric exploration of inbreeding
depression for yield and somatic cell count in
Jeresy cattle.
Statistical genetics in animal breeding in the
age of genomics.
Non-parametric exploration of inbreeding
depression for milk yield and somatic cell count
in Jersey cattle.
47

2003 University of Wisconsin-
Madison, Madison WI
2003 University of Wisconsin-
Madison, Madison WI
2003 American Statistical
Association, San Francisco,
California
2003 Beef Improvement
Federation, Kansas City,
Missouri
2003 National Institute of
Agricultural Research,
Montevideo, Uruguay
2003 Fundacion Zonamerica, Free
Trade Zone, Montevideo,
Uruguay
2003 University of Wisconsin-
Madison, Madison, Wisconsin
2003 University of Oslo, Oslo,
Norway
2004 University of Wisconsin-
Madison, Madison WI
2004 University of Oslo, Oslo,
Norway
2004 Instituto Tecnico Superior,
Lisbon, Portugal
2004 Universidad Politencia de
Valencia, Valencia, Spain
2004 Universidad de Gran
Canarias, Las Palmas, Spain
2004 Universidad Politecnica de
Valencia, Valencia, Spain
2004 Danish Institute of
Agricultural Sciences, Foulum,
Denmark
2004 Medical Statistics,
Rikshospitalet, University of
Oslo, Oslo, Norway
2004 Department of Animal and
Aquacultural Sciences,
Agricultural University of
Norway, Aas, Norway
2004 Facultad de Agronomia,
Montevideo, Uruguay
Introduction to gene expression data analysis:
I. Basic Concepts.
Introduction to gene expression data analysis:
II. Some models for assessing variability of
measurements.
Model choice in animal breeding: a case study
of litter size in pigs.
Marker assisted selection in the post genomics
era.
Quantitative genetics of simultaneity.
Sobre el uso de marcadores moleculares e
informacion post-genomica en el mejoramiento
genetico animal.
Model choice in animal breeding: a case study
of litter size in pigs.
Model choice in animal breeding: a case study
of litter size in pigs.
Quantitative genetics of simultaneous or
recursive relationships.
Quantitative genetics of simultaneous or
recursive relationships.
Quantitative genetics of simultaneous or
recursive relationships.
Non-parametric exploration of inbreeding
depression.
Non-parametric exploration of inbreeding
depression.
Quantitative genetics of simultaneous or
recursive relationships.
Quantitative genetics of simultaneous or
recursive relationships.
Inferring fixed effects in mixed linear models
from integrated likelihoods.
Inferring fixed effects in mixed linear models
from integrated likelihoods.
Non-parametric exploration of inbreeding
Depression.
48

2004 Institut National de la
Recherche Agronomique,
Toulouse, France
2004 Colorado State University,
NCR 199 Meeting
2005 Joint USDA-Norway Seminar,
Lillehammer, Norway
2005 Norwegian University of Life
Sciences, Aas, Norway.
2005 Asociacion de Criadores de
Ganado Criollo Lechero
(ACROLET), Tuxpan, Mexico
2005 XV Congresso de Zootecnia-
1 er Congresso Ibero-
Americano de Zootecnia, Vila
Real, Portugal
2005 Parco Tecnologico Padano,
Lodi, Italy
Quantitative genetics of simultaneous or
recursive relationship.
Quantitative genetics of simultaneous or
recursive relationships.
Some novel statistical approaches for analysis of health and
health and fertility traits in cattle.
Some novel statistical approaches for analysis of health and
health and fertility traits in cattle.
Consideraciones sobre el analisis genetico de
curvas de lactacion en ganado tropical.
Some novel statistical approaches for analysis of health and
health and fertility traits in livestock.
Some novel statistical approaches for analysis of health and
health and fertility traits in livestock.
2005 University of California, Davis Genomic assisted prediction of genetic value with
semi-parametric procedures.
2005 Norwegian University of Life
Sciences, Aas, Norway
2005 University of Wisconsin,
Madison.
2005 Fundacion Zonamerica,
Montevideo, Uruguay.
2005 Facultad de Agronomia,
Montevideo, Uruguay
2006 Newton Institute of
Mathematical Sciences,
Cambridge University, U.
Kingdom
2006 8 th World Congress of
Genetics Applied to Livestock
Production, Belo-Horizonte,
Brazil.
2006 Statistical Genetics Workshop,
Weimar, Germany
Genomic assisted prediction of genetic value with
Semi-parametric procedures.
Inferring fixed effects in mixed linear models
from integrated likelihoods.
Some novel statistical approaches for analysis of
health and fertility traits in livestock.
Some novel statistical approaches for analysis of
health and fertility traits in livestock.
Advances in Monte Carlo Methods, invited
workshop participant.
Statistics in animal breeding: angels and demons.
Semi-parametric procedures for prediction of
genetic value using massive genomic data.
2006 INRA, Jouy-en-Josas, France Novel statistical approaches for quantitative
genetic analysis.
2006 Universite D’Orsay, Paris,
France.
2006 Universite D’Orsay, Paris,
France.
Bayesian analysis of structural equation models
with applications in quantitative genetics.
Inferences about fixed effects in mixed linear
Models using integrated likelihoods.
49

2006 Iowa State University, Ames,
Iowa.
2006 Bayern Institute of
Agricultural Research, Grub,
Germany
2006 Humboldt University, Berlin,
Germany
2006 Martin Luther- University
Halle-Wittenberg, Germany
2006 Christian-Albrechts University,
Kiel, Germany
2006 International Symposium
“Advances in statistical
genetics and bioinformatics’,
Georg August University,
Goettingen, Germany
2006 NCERA 199 and NC1010,
Lincoln, Nebraska.
2006 Norwegian University of Life
Sciences, Ås, Norway.
2006 Universidad Politecnica de
Valencia, Spain.
2007 University of Wisconsin,
Madison.
2007 Symposium in Honor of Prof.
Daniel A. Sorensen,
Sandbjerg Estate, Aarhus
University Conference Centre,
Sønderborg, Denmark.
RESEARCH AND TEACHING SUPPORT
A view of the J. L. Lush Endowed Chair in
Animal Breeding and Genetics.
Simultaneous and recursive models for
quantitative genetic analysis with applications to
animal breeding.
Genomic assisted prediction of breeding value.
Simultaneous and recursive models for
quantitative genetic analysis with applications to
animal breeding.
Simultaneous and recursive models for
quantitative genetic analysis with applications to
animal breeding.
Simultaneous and recursive models for
quantitative genetic analysis with applications to
animal breeding.
Statistics in animal breeding: angels and
demons.
Statistics in animal breeding: angels and
demons.
Semi-parametric procedures for prediction of
genetic value using massive genomic data.
Statistics in animal breeding: angels and demons
The post- posteriozoic: non-parametrics and
machine learning in animal breeding?
Genetic evaluation and monitoring of performance tested beef cattle (HATCH FUNDS,
$50,000, 1978-1983)
Modeling selection strategies with laboratory mice (UNIVERSITY OF ILLINOIS RESEARCH
BOARD, $8,000, 1979; HATCH FUNDS, $28,000, 1980-1984)
Management systems in relation to productive and reproductive efficiency of
swine (ILLINOIS PORK PRODUCERS ASSOCIATION, $30,000, 1979-1982; with R. A.
Easter and L. H. Thompson)
Travel Award (BIOMETRIC SOCIETY, $500, 1979)
Exotic sources of germplasm for profitable pork production (ILLINOIS PORK PRODUCERS
ASSOCIATION, $10,500, 1979-1981)
50

George A. Miller Committee (Professorship for C. R. Henderson, $2,000, 1980)
George A. Miller Committee (Professorship for J. L. Foulley, $5,000, 1985)
George A. Miller Committee (Professorship for J. I. Weller, $7,000, 1987)
Genetic evaluation of categorical traits in Holstein-Friesian cattle (HOLSTEIN-FRIESIAN
ASSOCIATION OF AMERICA, $49,300, 1980-1983)
Improvement of Beef Cattle through Breeding Methods (RRF USDA, $2,000/YEAR, 1981-
1987)
Bayesian methods in animal breeding and quantitative genetics (HATCH FUNDS, $16,000
per year, 1986-1990)
International Program Development Award (MUCIA, $600, 1985)
Portugal University Institutes Development Project (USAID, $12,180, 1985)
Development of methods for genetic analysis of discrete traits of economic importance in
U. S. and Israeli dairy cattle populations (UNITED STATES-ISRAEL BINATIONAL
AGRICULTURAL, RESEARCH AND DEVELOPMENT FUND, $200,000, 1986-1988; with R. L.
Fernando, C. R. Henderson, J. Weller, R. Bar-Anan)
Estimation of additive and non-additive genetic effects in large probit models.
(NATIONAL CENTER FOR SUPERCOMPUTING APPLICATIONS, $10,000; 10 hours of CRAY
XMP time, 1987)
Approximation of prediction error variance and of restricted maximum likelihood
estimation of variance components with large scale animal models (HOLSTEIN
ASSOCIATION, $52,000, 1988-1989; research carried out in D. Gianola's laboratory by I.
Misztal)
Simulation of non-additive genetic situations and estimation of corresponding parameters
(CORNELL THEORY CENTER, $5,000; 5 hours of IBM-3090-600 VF supercomputer time,
1988)
Travel Award (THE GENETICS SOCIETY OF AMERICA, $750, 1988)
Evaluation of estimators of non-additive components of genetic variance based on
likelihood in threshold models (CORNELL THEORY CENTER; $95,000: 190 hours of IBM-
3090-600 VF supercomputer time, 1989)
George A. Miller (Professorship for St. Clair Taylor, $2,750, 1989)
Adjunct Professorship for Ignacy Misztal (HOLSTEIN ASSOCIATION, $70,000, 1989)
Development of a Poisson mixed model for a genetic analysis of litter size and similar
traits in swine (NATIONAL PORK PRODUCERS COUNCIL, $12,200; with I. Misztal, 1990.)
Flexible funds (GRADUATE SCHOOL, University of Wisconsin-Madison, $50,000, 1991-
1995).
Heterogeneous variances and analysis of reproductive events in dairy cattle breeding
51

(HOLSTEIN ASSOCIATION, $27,000, 1990; 21st CENTURY GENETICS, $20,000, 1992;
SIRE POWER, $5,000, 1992).
Bayesian assessment of genetic change in artificial selection programs (GRADUATE
SCHOOL, University of Wisconsin-Madison, $14,340, 1993-1994).
Bayesian inference on quantitative genetic parameters (HATCH FUNDS, $72,000, 1993-
1997)
Course on Generalized Linear Models for Analysis of Discrete Data in Genetics
(UNIVERSITY OF WISCONSIN SUMMER SESSION, $6,000.00, 1995)
Course on Applications of Bayesian and Likelihood Methods in Genetics (UNIVERSITY OF
WISCONSIN SUMMER SESSION, $9867, 1995)
Summer Courses 1995 (Foreign participants gifts, $2700)
Course on Linear Statistical Models in Genetics and Biology (UNIVERSITY OF WISCONSIN
SUMMER SESSION, $9966, 1996)
Course on Linkage Analysis (Research Division, College of Agricultural and Life Sciences,
UNIVERSITY OF WISCONSIN, $5000, 1996)
San Diego Supercomputer Center (10 Service units in the Cray C90, UNIVERSITY OF
WISCONSIN GRADUATE SCHOOL, 1990)
Quantitative genetic analysis of lactation curves with robust mixed effects models
(UNIVERSITY OF WISCONSIN GRADUATE SCHOOL, $12,232, 1998)
Bayesian analysis of longitudinal models for production, disease and prolificacy data in
animal breeding (USDA-HATCH, $87,368, 1998)
Development of an international dairy sire evaluation procedure which is resistant to
errors and biases in national sire evaluation data of participating countries (with K. A.
Weigel, National Association of Animal Breeders, $10,000, 1998)
Genetic relationships between marbling and milk volume and composition based on
ultrasound technology (with D. Schaefer, INDUSTRIAL AND ECONOMIC DEVELOPMENT
PROGRAM OF THE UNIVERSITY OF WISCONSIN, $24,000, 1998)
Longitudinal analysis of animal disease (International Livestock Research Institute, Kenya
and USAID, $25,000, 1998)
Fellowship Support of Guilherme Rosa (CAPES: Coordenacao de Aperfeicoamento de
Pessoal de Nivel Superior, Brazil, $16,120, 1998)
Travel Award (NATIONAL SCIENCE FOUNDATION, $750, 1998)
Development of recording systems and of methods of genetic evaluation for resistance to
mastitis in dairy cattle in cooperation with Norway (BABCOCK INSTITUTE FOR
INTERNATIONAL DAIRY RESEARCH AND DEVELOPMENT, $12,438, 1999)
Travel Award (AMERICAN SOCIETY OF ANIMAL SCIENCE, $1000, 1999)
52

Estimation of genetic parameters using robust linear models (UNITED STATES
DEPARTMENT OF AGRICULTURE, NATIONAL RESEARCH INITITATIVES COMPETITIVE
GRANTS PROGRAM, $200,000, 1999)
Post-Doctoral Fellowship Support for Dr. Adhemar Sanches (CAPES: Coordenacao de
Aperfeicoamento de Pessoal de Nivel Superior, Brazil, $24,000, 1999)
Methods for quantitative genetic analysis of discrete disease data (UNIVERSITY OF
WISCONSIN GRADUATE SCHOOL, $8,521, 1999)
William F. Vilas Associate (WILLIAM F. VILAS TRUST ESTATE, $40,642, 2000)
Continued development of methods of genetic evaluation for resistance to mastitis in
dairy cattle in cooperation with Norway (BABCOCK INSTITUTE FOR INTERNATIONAL
DAIRY RESEARCH AND DEVELOPMENT, $12,140, 2001)
William F. Vilas Associate (WILLIAM F. VILAS TRUST ESTATE, $41,020, 2001)
Quantitative genetic analysis of longitudinal data using robust Bayesian methods
(NATIONAL SCIENCE FOUNDATION, $277,000, 2001)
Bayesian Mixture for Quantitative Genetic Analysis of Somatic Cell Count in Dairy Cattle
(UNITED STATES DEPARTMENT OF AGRICULTURE, NATIONAL RESEARCH INITITATIVES
COMPETITIVE GRANTS PROGRAM, $200,000, 2002)
Statistical procedures for genetic evaluation of susceptibility to mastitis in dairy cattle
(USDA-HATCH, $93,264, 2003)
Genetic evaluation for resistance to mastitis and other diseases in dairy cattle in
cooperation with Norway (BABCOCK INSTITUTE FOR INTERNATIONAL DAIRY RESEARCH
AND DEVELOPMENT, $12,540, 2004)
Bayesian methods for structural equation models in quantitative genetics with
applications to the study of mammary gland disease (NATIONAL SCIENCE FOUNDATION,
$540,000, 2005)
Statistical procedures for genetic analysis of diseases and fertility in dairy cattle in
cooperation with Norway ((BABCOCK INSTITUTE FOR INTERNATIONAL DAIRY
RESEARCH AND DEVELOPMENT, $5,200, 2006)
TEACHING EXPERIENCE
1. Classroom teaching and course develo pment
Dr. Gianola's contribution to the graduate teaching programs of the University of Illinois
and the University of Wisconsin is in the areas of animal breeding, quantitative genetics and
applied statistics.
Animal Sciences 415 (Linear and nonlinear statistical models for biologists) was
developed by Dr. Gianola and Dr. G. Gertner (Forestry) in an effort to improve course offerings in
statistics in the College of Agriculture of the University of Illinois; Dr. Gianola taught the entire
course the last four times it was offered. The objective of the course was to cover intermediate
and advanced statistical methods used in agricultural sciences, with emphasis on estimation of
parameters in linear models describing data from designed or non-designed experiments,
53

including complex unbalanced settings, and non-standard cases. The course provided a mix of
theory and applications, and it bridged the gap between classical experimental statistics and
modern theory of parameter estimation. Examples were drawn primarily from the animal
sciences. Dr. Gianola is a demanding instructor; he gives "take home" quizzes, involving the use
of a computer, so as to evaluate and monitor progress of students; the problems are seldom
trivial or standard. In addition, he assigns readings directly from primary sources (e.g., papers
from Biometrics, Applied Statistics and Journal of the Royal Statistical Society). This course was
particularly useful to students pursuing a Ph.D. in animal breeding or quantitative genetics. Dr.
Gianola updated and revised the course each time it was offered.
At Illinois, Dr. Gianola developed Animal Sciences 416, Statistical Genetics and Breeding
Plans, a course primarily for Ph.D. students in animal breeding and genetics. The course dealt
with applications of modern estimation and prediction techniques to animal breeding and
quantitative genetics problems. Emphasis was on genetic evaluation techniques for normal,
categorical and censored variates in populations undergoing selection. A set of class notes
prepared by Dr. Gianola "Statistical aspects of quantitative genetics with reference to animal
breeding" (600 pp) is in high demand, nationally and internationally. He revised the notes each
time the course was taught and plans to write a book using these materials. Several publishers,
e.g., Butterworths, Springer-Verlag, Longmans, Iowa State Press, have expressed interest. Only
two institutions in North America (Cornell and Guelph) offer similar courses.
In the Fall of 1985, Drs. Gianola and Fernando (also with the University of Illinois)
completely revised and taught Animal Sciences 417, Advanced Quantitative Genetics, to an
audience of about 20 persons, including 8 or 10 faculty members and visiting scholars. The
course had not been taught for a number of years. The material included discussion of 37
benchmark papers in quantitative genetics including foundations, covariances between relatives,
non-additive and maternal effects, prediction of response to selection, selection index theory,
selection experiments, and evolutionary aspects. The course gave the students an opportunity to
become familiar with difficult theoretical papers. Drs. Gianola and Fernando derived all
fundamental formulae and introduced theoretical and mathematical elements needed to master
this literature.
In view of the increasing importance of Bayesian inference in scientific endeavors
(Lindley, 1975, Adv. Appl. Prob., 7, 106-115), Dr. Gianola organized at Illinois an informal course
(workshop) for faculty and graduate students, Bayesian analysis of linear models. The course
covered foundations of Bayesian inference and the Bayesian treatment of several problems in
linear models, with emphasis on animal breeding issues including variance components. The
course was expanded and taught formally at the University of Wisconsin (1991).
In the Spring of 1988, Dr. Gianola taught jointly with Dr. C. R. Henderson at Illinois a
seminar-type course "Advances in estimation of variance components." The objective was to
discuss papers published primarily outside the field of animal breeding. The course consisted of
presentations made by Drs. Gianola and Henderson, and by students who prepared handouts and
contributed titles to a comprehensive bibliography on variance components that is still under
preparation.
During many years, Dr. Gianola led the Illinois graduate seminar in animal breeding. The
course attracted 15-20 graduate students (M.S. and Ph.D.) and faculty every semester. It
consisted of presentations of current research, discussion of key papers and critical evaluation of
research projects or proposed experiments. Students were exposed to invited speakers in
disciplines relevant to genetic improvement of animals, e.g., genetics, statistics and computer
science. Using evaluation forms completed by the faculty, Dr. Gianola held individual discussions
with the students aimed at correcting weaknesses, reinforcing strong points of their
presentations. He encouraged an informal structure leading to interaction between speaker and
54

audience, but students faced critical questions which needed to be fielded with rigor and
authority in order to satisfy course requirements. Dr. Gianola was concerned with the tendency
of some graduate students to be unfamiliar with literature in the field. Because of this,
preparation of abstracts sometimes has been an additional requirement for the course. Students
prepared summaries of about 200-250 words of current papers in the literature. These
summaries are then evaluated for syntax, conciseness, coverage and substance. In some years
the abstracts addressed exclusively literature from countries other than the United States.
Dr. Gianola has had an extensive involvement in continuing education courses. In 1979
he obtained support from the College of Agriculture of the University of Illinois to bring Dr. G. M.
van Dyne, Colorado State University, to campus. Dr. van Dyne taught a 10-day intensive course
in Modeling and Analysis of Animal Production Systems that attracted faculty and graduate
students from the U. S. and Canada. In 1980, the George A. Miller Committee funded a proposal
prepared by Dr. Gianola to bring Dr. C. R. Henderson, Cornell University, to the University of
Illinois. Dr. Henderson taught a five-week course in Advances in Analysis of Linear Models. In
1986 and 1987 the Miller Committee supported proposals prepared by Dr. Gianola to invite Drs.
Jean L. Foulley (INRA, France) and Joel Weller (The Volcani Institute, Israel) as visiting scholars.
Dr. Weller taught a course on Economic Aspects of Animal Breeding in the Spring of 1988. In
1989, Dr. Gianola's proposal to bring Dr. St. Clair Taylor (Edinburgh) to teach a course on
Aspects of Mammalian Growth in 1990, was also funded by the Miller Committee.
Dr. Gianola has also had an intensive teaching activity as a visiting professor in overseas
institutions of higher education. A list of courses taught follows:
United States
Year Course Institution Participants
1978 Plant and Animal Genetics, 3 cr U of I 30 undergrads
1978 Genetics of Domestic Animals, 3 cr U of I 13 undergrads
& grads
9 yrs Seminar in Animal Breeding, 0-1 cr U of I 15-20 grads
1979,1981 Matrix Algebra for Biologists, 2 cr U of I 2-4 grads per
year
1983,1985 Linear and nonlinear models, 4 cr U of I
5-8 grads per
1987,1989
year
1980,1981 Statistical Genetics & Breeding
U of I
6-12 grads per
1984,87,90 Plans, 3 cr
year
1985 Advanced Quantitative Genetics, 4 cr U of I 20 grads
1986 Topics in Population Biology (4 lectures) U of I 15 grads
1991 Likelihood and Bayesian Methods in
Quantitative Genetics
U of W
5 grads
1993 Linear Models in Quantitative Genetics U of W 10 grads
1993 Seminar in Statistical Genetics U of W 20-40
participants
1994 Estimation of quantitative genetic
parameters
U of W 8 grads
1994 Seminar in Animal Breeding U of W 15-20 grads
and faculty
1995 Bayesian Methods in Quantitative Genetics,
3 cr.
U of W
13 grads
1995 Generalized Linear Models in Genetics, 3
cr.
U of W 13 grads
(organizer)
55

1996 Linear Statistical Models in Genetics and
Biology , 4 cr.
U of W
4 grads.
1996 Seminar in Animal Breeding
U of W 15-20 grads
and faculty
1997 Statistical Models in Genetics and the
Gibbs sampler, 3 cr.
U of W
10 grads.
1999 Seminar in Animal Breeding U of W 15-20 grads
and faculty
2000 Mixed Linear Models with Applications in
Genetics, 3 cr.
U of W 8-10 grads
2001 Seminar in Animal Breeding U of W 15-20 grads
and faculty
2002 Mixed Linear Models with Applications in
Genetics, 3 cr.
U of W 8-10 grads
2003 Seminar in Animal Breding U of W 15-20 grads
and faculty
2003 Zoology 957 Guest lecturer on
U of W 20-25 grads
Bayesian methods applied to genetics
and faculty
2004 Bayesian Methods and Applications
to Biology, 3 cr.
U of W 12 grads
2005 Linear statistical models with applications U of W 13 grads and
in genetics and biology, 3 cr.
faculty.
2005 Workshop in analysis of finite mixtures U of W 10 grads and
visitors.
International
Year Course Institution Participants
1982 Animal breeding methodology
Wageningen 30 grad
(15 hours)
Agricultural students,
University, the faculty,
Netherlands extension
agents
1984 Analysis of categorical data in animal INRA France, 45 anim.
breeding (60 hours)
Course held in breeding
St. Ferreol research
workers &
statatiscians
from 20
countries
1984
1984
Linear models in statistical genetics
(30 hours, in Portuguese)
Statistical aspects of quantitative
genetics (30 hours, in Portuguese)
University of
Tras-os-
Montes e Alto
Douro,
Portugal
University of
Tras-os-Montes
e Alto Douro,
Portugal
20 students
& faculty
15 students
& faculty
56

1989
Application of Bayesian methods
in animal breeding (35 hours)
1989 Application of Bayesian methods in
animal breeding (35 hours)
1989
1990
1990
1992
1993
1994
1994
1994
Application of Bayesian methods in
animal breeding (50 hours)
Introduccion a la Estimacion de Valores
Mejorantes y Parametros Geneticos desde
una Perspectiva Bayesiana
(20 hours, in Spanish)
Likelihood and Bayesian methods
in quantitative genetics (60 hours)
Bayesian solution to some problems
in animal breeding (15 hours, in Spanish)
Mixed linear models in animal breeding
(40 hours, in Spanish)
Applications of Gibbs sampling in biology and
statistics (9 hours, in Spanish).
An introduction to the theory of genetic
evaluation of livestock (8 hours, in
Portuguese)
Gibbs sampling in animal breeding
(20 hours)
Swedish
University of
Agricultural
Sciences,
Uppsala,
Sweden
Hohenheim
University,
Federal
Republic of
Germany. Held
in
Achselschwang
, Bavaria
INRA, France
Course held in
Jouy-en-Josas
INIA, Madrid,
Spain
National
Institute
of Animal
Sciences,
Foulum,
Denmark.
INTA, Buenos
Aires,
Argentina
Facultad de
Agronomia,
Montevideo,
Uruguay
INIA, Madrid,
Spain
Universidade
de Tras-os-
Montes e
Alto Douro,
Vila Real,
Portugal
Die Universiteit
van die
Oranje-
Vrystaat,
Bloemfontein,
South Africa
40 researchers
from 7
countries
40 grad
students and
researchers
20 researchers
30 researchers
and students
25 grad
students and
researchers
15 grad
researchers
12 researchers
and faculty.
30 researchers
25 students
15 faculty in
statistics animal
breeding
57

1994 Introduction to likelihood and Bayesian
techniques, with Monte Carlo biometrics and
implementations (20 hours)
1994
1994
1994
1995
1996
1996
1996
Aplicacion de metodos bayesianos y de
verosimilitud, via el metodo de Gibbs
(14 hours, in Spanish)
An introduction a le methode d'echantillonage
de Gibbs (3 hours, in French)
Gibbs sampling in Bayesian analysis
(13 hours)
Applied Bayesian analysis
(25 hours, in Spanish)
Applied Bayesian analysis
(20 hours, in Spanish)
Applied Bayesian analysis
(25 hours, in Portuguese)
Bayesian hypothesis testing
(12 hours, in Spanish)
1996 Introduction to genetic prediction in
livestock (10 hours, in Portuguese)
1996
1997
Linear models and variance
components (30 hours)
Applied Bayesian analysis
(28 hours, in Spanish)
National
Institute
Of Animal
Sciences,
Foulum,
Denmark
Universitat de
Lleida, Spain
Station
d'amelioration
génétique des
animaux,
Toulouse,
France
Universita degli
Studi de
Milano, Italy
Universidad
Politecnica
de Valencia,
Spain
University of
Buenos Aires,
Argentina
University of
Sao Paulo,
Ribeirao Preto,
Brasil.
Universidad
Politecnica
de Valencia,
Spain
Universidade
de Tras os
Montes e Alto
Douro, Portugal
Wageningen
Agricultural
University, the
Netherlands.
Universidad
Politecnica
de Valencia,
Spain
25 researchers
in animal
breeding
20 researchers
in animal
breeding
8 researchers
animal
breeding
15 researchers
and faculty
10
researchers and
faculty.
10 graduate
students.
20 graduate
students
20 faculty,
researchers.
and grad
students
8 graduate
students.
40 graduate
students and
researchers.
10 graduate
students and
faculty.
58

1997
1998
1998
Aplicaçao dos métodos Bayesianos em
genetica quantitativa (18 hours, in
Portuguese)
An introduction to Bayesian methods and
computations (25 hours)
Bayesian analysis and MCMC methodsin
genetics (25 hours)
1999 Bayesian model comparison and analysis of
longitudinal data (14 hours, in Spanish)
1999
Bayesian statistics in animal breeding
(8 hours, in Portuguese)
2000 Introduction to Bayesian analysis with
applications in quantitative genetics
(40 hours, in Spanish)
2000
Introduction to Bayesian analysis and
MCMC computations (25 hours)
2000 Bayesian analysis of longitudinal data
(3 hours)
2001 Bayesian methods in quantitative genetics
(30 hours)
2001
Bayesian analysis of longitudinal data with
graduate quantitative genetic applications
(6 hrs.)
Universidade
de Sao Paulo,
Ribeirao Preto,
Brazil
Agricultural
Research
Centre of
Finland,
Jokioinen,
Finland.
University of
Edinburgh,
United
Kingdom
Universidad
Politecnica
de Valencia,
Spain
Universidade
Federal
de Vicosa,
Brazil students
Colegio de
Posgrado
Texcoco,
Mexico
Universidad de
Buenos Aires,
Argentina
CSIRO,
Armidale,
Australia
INRA, Toulouse
France
ESALQ/USP
Brasil
45 graduate
students and
faculty.
15 graduate
students and
researchers
25 students
15 graduate
students,
faculty and
researchers
30 graduate
and researchers
25 graduate
students
and faculty
15 graduate
students
and faculty
25 graduate
students and
researchers
10 graduate
students and
researchers
80 researchers
and students
59

2002 Bayesian and MCMC methods and
applications in quantitative genetics (60
hours, with R. Rekaya)
2002
2002
2004
Introduction to Bayesian Analysis
(15 hours, with D. Sorensen)
Introduction to gene expression data
analysis (4 hours)
Statistical Inference and Information Theory
(4 hours)
2004 An Introduction to Likelihood-Based
Infererence (12 hours)
2005 Workshop on Analysis of Finite Mixtures (12
hours)
2006 Introduction to analysis of Gaussian mixtures
in quantitative genetics (4 hours)
2006 Introduction to analysis of Gaussian mixtures
in quantitative genetics (4 hours)
2006 Maximum likelihood inference in the mixed
effects linear model (20 hours)
Inter-Nordic
course
Lillehammer,
Norway
Universidad
Politecnica
de Valencia,
Spain
Universidade
Estadual
Graduate de
Sao Paulo,
Ribeirao Preto,
Brazil
Universidad
Politecnica
De Valencia,
Spain
Agricultural
University of
Norway, Aas,
Norway
Norwegian
University of
Life Sciences,
?s, Norway.
Universidad
Politecnica de
Valencia, Spain
Georg-August
University,
Goettingen,
Germany
Georg-August
University,
Goettingen,
Germany
40 PhD
students
15 faculty and
graduate
students
50 students
10 graduate
students and
faculty.
15 graduate
students and
researchers.
15 graduate
students and
researchers.
14 faculty and
graduate
students.
10 faculty and
PhD students
10 faculty and
PhD students
60

2006 Bayesian analysis with applications in
quantitative genetics (40 hours)
2006 Maximum likelihood inference in the mixed
effects linear model (20 hours)
Available Student Evaluations:
Georg-August
University,
Goettingen,
Germany
Norwegian
University of
Life Sciences,
?s, Norway.
International
course. 30
faculty and PhD
students
12 PhD
students and
researchers
Course Course Content Instructor Preparation Knowledge Enthusiasm
AnS 110 3.8/6 5.4/6 4.8/5 5/5 4.6/5
AnS 416 5.3/6 4.7/6 4.3/5 5/5 4.4/5
(Fall 1981)
AnS 415 4.7/5 4.7/5 4.9/5 5/5 5/5
(Spring 1987)
AnS 415 4.4/5 5.5 n.a. n.a. 4.7/5
(Fall 1989)
AnS 875 4.6/5 4.8/5 4.2/5 5/5 4.7/5
(Summer 2004)
AnS 875 4.5/5 4.1/5 4.4/5 4.9/5 4.9/5
Included in the list of Teachers Ranked as Excellent by Their Students
2. Mentor teaching
a. M.S. Thesis/Projects supervised
1. Fernando, R. L. 1981. Scaling ordered categorical variables in relation
to sire evaluation for frame score at weaning in Angus cattle. University
of Illinois.
2. Pudalov, B. A. 1983. Effects of categorizing linear type traits on
estimates of genetic parameters and sire evaluation in Holstein cattle.
University of Illinois.
3. Knights, S. A. 1983. Association of young bull fertility characteristics
with bull growth and female fertility in Angus cattle. University of Illinois
(Supervised jointly with D. L. Thomas)
4. Carriquiry, A. L. 1985. The analysis of a censored normal distribution:
onset of puberty in mice. University of Illinois.
5. Kachman, S. D. 1986. Prediction of genetic merit for growth curve
parameters in outbred ICR mice. University of Illinois.
6. Chang, H. L. A. 1986. Joint effects of nutrition, fraternity size and
nursing schedule on growth and reproduction in swine. University of
61

Illinois.
7. Soto, H. W. 1987. Effects of breed of sire, breed of dam, pasture
programs and their interactions on pre-weaning performance of
crossbred beef calves. University of Illinois.
8. Weigel, K.A. 1992. Identification of factors causing heterogeneous
within-herd variance components using a structural model for variances.
University of Wisconsin-Madison.
9. Rodriguez-Zas, S. L. 1994. Maximum likelihood and Bayesian analysis of
mastitis variables in a Holstein herd. University of Wisconsin-Madison.
10. Chang, Yu-Mei 1998. Bayesian analysis of lactation curves in dairy sheep.
University of Wisconsin-Madison.
11. Guo, Shyh-Forng 1999. Application of survival and censored linear
models to the analysis of herd-life and lifetime prolificacy in Landrace
sows. University of Wisconsin-Madison.
12. Caraviello, Daniel 2002. Application of survival analysis methodology to
longevity data of US dairy cows. University of Wisconsin-Madison.
13. Gulisija, Davorka 2005. Novel approaches to the study of inbreeding
depression for yield traits and somatic cell score in US Jerseys. University
of Wisconsin-Madison.
14. De los Campos, Gustavo. 2005. Structural equation models with
applications to quantitative genetics. University of Wisconsin-Madison.
b. Ph.D. Theses Supervised
1. Mwenya, W. N. M. 1983. Response to selection for pupal weight with
and without assortative mating in Tribolium castaneum. University of
Illinois.
2. Fernando, R. L. 1984. Selection and assortative mating. University of
Illinois.
3. Chang, H. L. A. 1988. Studies on estimation of genetic variances under
nonadditive gene action. University of Illinois.
4. Colaco, J. A. 1989. Metodos de avaliacao genetica de reproductores e
sua aplicacao ao melhoramento de bovinos leiteiros em Portugal.
Universidade de Tras-os-Montes e Alto Douro.
5. Macedo, F. W. 1990. Analysis of mixed linear models with applications
in animal breeding. Universidade de Tras-os-Montes e Alto Douro.
6. Cantet, R. J. C. 1990. Estimation and prediction problems in mixed
linear models for maternal genetic effects. University of Illinois.
7. Soto, H. W. 1991. Methods for checking the goodness of fit of alternative
nonlinear mixed models with an application in fertility traits of beef cows.
62

University of Illinois.
8. Weigel, K.A. 1992. Estimation of heterogeneous components of
variance in mixed linear models with an application to dairy cattle
breeding. University of Wisconsin-Madison.
9. Tempelman, R.J. 1993. Poisson mixed models for the analysis of counts
with an application to dairy cattle breeding. University of Wisconsin-
Madison.
10. Wang, C.S. 1993. Bayesian analysis of Gaussian mixed linear models
using Gibbs sampling with applications in animal breeding. University of
Wisconsin-Madison.
11. Strandén, I. J. 1996. Robust mixed effects linear models with tdistributions
and application to dairy cattle breeding. University of
Wisconsin-Madison.
12. Rodriguez-Zas, S.L. 1998. Bayesian analysis of somatic cell score
lactation patterns in Holstein cows using nonlinear mixed effects models.
University of Wisconsin-Madison.
13. Rosa, G. J. M. 1998. Analise Bayesiana de modelos lineares mistos
robustos via a mostrador de Gibbs. Escola Superior de Agricultura ” Luis
de Queiroz ”, Piracicaba, Sao Paulo, Brazil.
14. Chang, Yu-Mei. 2002. Multivariate and longitudinal models for binary
data with applications to clinical mastitis in Norwegian cattle. University
of Wisconsin-Madison.
15. Caraviello, Daniel Z. 2005. Development and evaluation of models for
predicting reproductive performance in large commercial dairy herds.
University of Wisconsin-Madison.
16. Guo, Shyh-Forng. 2006. Statistical models for analysis of herd life and
prolificacy traits in swine. University of Wisconsin-Madison.
17. Rodrigues-Motta, Mariana. 2006. Zero-inflated Poisson models for
quantitative genetic analysis of count data with applications to mastitis in
dairy cows. University of Wisconsin-Madison.
c. Post-Doctorals and Visiting Scholars
1. Dr. G. H. van Dyne (1979), Colorado State University, Fort Collins.
2. Dr. Roger Billingsley (1979-1980), Kellogg Co., Battle Creek, MI.
3. Dr. R. L. Baker (1981-1983), Ruakura Animal Research Center, New
Zealand.
4. Dr. A. Meijering (1983), Institute for Animal Husbandry Research, Zeist,
Holland.
5. Dr. Miguel A. Toro (1986, 2002), Instituto Nacional de Investigaciones
63

Agrarias, INIA, Spain
6. Dr. C.R. Henderson (1984-1989), Department of Animal Science, Cornell
University, Ithaca.
7. Dr. J. L. Foulley (1985-1986, 1995), Department of Genetics, INRA,
France.
8. Dr. F. W. Macedo (1985-1986), Department of Mathematics, University
of Tras-Os-Montes e Alto Douro, Portugal.
9. Dr. S. Im (1985-1987), Department of Biometrics, INRA, France.
10. Dr. J. A. Colaco (1985, 1986), Department of Animal Science, University
of Tras-Os-Montes e Alto Douro, Portugal.
11. Dr. I. Misztal (1986-1991), Department of Cattle Breeding, Warsaw
Agricultural University, Poland.
12. Dr. I. Hoeschele (1987), Department of Dairy Science, Virginia
Polytechnic Institute and State University.
13. Dr. J. Weller (1987-1988), Department of Animal Science, Volcani
Institute, Bet-Dagan, Israel.
14. Dr. St. Clair Taylor (1989), Institute of Animal Physiology and Genetics
Research, Edinburgh, Scotland.
15. Dr. J. P. Bidanel (1990-1991), Department of Genetics, INRA, France.
16. Dr. M. Perez-Enciso (1990-1992, 2002), Instituto National de
Investigaciones Agrarias, INIA, Spain.
17. Dr. Ingrid Olesen (1992), Department of Animal Science, Agricultural
University of Norway, Aas, Norway.
18. Dr. Romdhane Rekaya (1997-2001), Instituto National de
Investigaciones Agrarias, INIA, Spain.
19. Dr. Sandra Rodriguez-Zas (1998), University of Wisconsin-Madison.
20. Dr. Daniel A. Sorensen (1998, 2001), Danish Institute of Agricultural
Sciences, Denmark.
21. Dr. Adhemar Sanches (1998-1999), Universidade Estadual de Sao Paulo,
Jaboticabal, Brazil.
22. Dr. Bjorg Heringstad (2000, 2002, 2003, 2004, 2005, 2006), Department
of Animal and Aquacultural Sciences, Agricultural University of Norway,
Aas, Norway.
23. Dr. Haja Kadarmideen (1999), Animal Breeding and Genetics
Department, Animal Biology Division. Scottish Agricultural College,
Edinburgh, Scotland.
64

24. Dr. Guilherme Rosa (2000), Department of Biostatistics, Universidade
Estadual de Sao Paulo, Botucatu, Brazil.
25. Dr. Maria M. Piles-Rovira (2000), Departmento de Ciencia Animal,
Universidad Politecnica de Valencia, Valencia, Spain.
26. Dr. Just Jensen (2001), Danish Institute of Agricultural Sciences, Foulum,
Denmark.
27. Dr. Carlos Becerril (2002), Colegio de Posgrado, Montecillo, Mexico.
28. Dr. Hossein Jorjani (2003), Swedish University of Agricultural Sciences
and Interbull Centre, Uppsala, Sweden.
29. Dr. Marijan Posavi (2003-2004), University of Zagreb, Croatia.
30. Dr. Yu-Mei Chang (2002- 2006), University of Wisconsin-Madison.
31. Dr. Paul Boettcher (2004), Istituto di Biologia e Biotecnologia Agraria-
Consiglio Nazionale delle Ricerche, Centro Ricerche e Studi
AgroAlimentari , Fondazione Parco Tecnologico Padano, Milan, Italy.
32. Dr. Alessandra Stella (2004), Centro Ricerche e Studi AgroAlimentari,
Fondazione Parco Tecnologico Padano, Milan, Italy.
33. Dr. Jorgen Ødegård (2005), Norwegian University of Life Sciences, Ås,
Norway.
34. Dr. Per Madsen (2005), Danish Institute of Agricultural Sciences, Foulum,
Denmark.
35. Dr. Hugo Naya (2005), Laboratorio de Organización y Evolución del
Genoma, Facultad de Ciencias, Montevideo, Uruguay
36. Dr. Xiao-Lin Wu, University of Wisconsin-Madison.
37. Prof. Jorge Urioste (2000, 2004, 2005), Departamento de Produccion
Animal, Universidad de la Republica, Montevideo, Uruguay.
38. M. S. Yakut Gevrecki (2005), Department of Animal Science, Ege
University, Izmir, Turkey.
39. Ing. Eduardo Santellano-Estrada (2005), Colegio de Posgrado, Texcoco,
Mexico.
40. Ing. Oscar Gonzalez-Recio (2005), Escuela Superior de Ingenieros
Agronomos, Madrid, Spain.
d. External Examinations
1. Parratt, A. C. 1983. Genetics of growth in mice with particular reference
to the application of nonlinear models. Ph. D., University of New
England, Australia.
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2. Hoschele, Ina. 1986. Estimation of breeding values and variance
components with quasi-continuous data. Dr. Agr. Sci., Hohenheim
University, Germany.
3. Klassen, David. 1992. A simulation-based algorithm for mixed model
estimation of genetic parameters with an application to the Australian
pig industry. Ph. D., University of New England, Australia.
4. Colaço, Jorge A. 1994. Aggregation Thesis. Universidade de Tras-os-
Montes Alto Douro, Portugal, Vila Real.
5. Argente, Maria Jose 1996. Dr. Sc., Selecccion divergente por eficiencia
uterina en conejo. Universidad Politecnica de Valencia, Valencia, Spain.
6. Schindler de Avila, Valeria 1996. Magister Scientiae. University of Buenos
Aires, Argentina.
7. Piles-Rovira, Maria M. 2000. Dr. Sc., Analisis bayesiano de los
efectos de la seleccion por velocidad de crecimiento sobre las
curvas de crecimiento y la calidad de la canal y de la carne de conejo.
Universidad Politécnica de Valencia, Spain.
8. Ortega-Gutierrez, Juan Angel 2002. Dr. Sc. Estimación bayesiana de la respuesta a la
selección por capacidad uterina en conejo. Universidad Politécnica de Valencia, Spain
9. Ros, Mathieu 2004. Selection canalisante et modelisation bayesienne de variantes
heterogenes: application a Helix aspersa Muller. Ecole Nationale Superieure d’ Agronomie
de Rennes, France.
10. Ibanez-Escriche, Noelia. 2006. Dr. Sc. Modelos para la varianza residual en genetica
cuantitativa: una aplicacion en capacidad utierina en conejo. . Universidad Politécnica de
Valencia, Spain
RESEARCH PROGRAM DESCRIPTION
Dr. Gianola is active in statistical genetic evaluation of animals with current emphasis on
applications of nonlinear models to discrete and censored distributions. Research includes
estimation of variance components, computing algorithms and Bayesian approaches. He is
currently formulating and extending the theory of quantitative genetics from a Bayesian
viewpoint. He has made theoretical contributions to estimation of genetic parameters and to the
development of selection criteria when variance is heterogeneous. He studied the effects of
assortative mating on genetic parameters and response to selection using computer simulation
and experimental approaches. Genetic control of growth curve parameters was studied by Dr.
Gianola, using mice. Dr. Gianola's research has also encompassed beef cattle (genotype x
environment interactions), swine (management systems, exotic sources of germplasm, theory of
heterospermic progeny testing), and Tribolium castaneum (selection with assortative mating).
At the request of the Illinois Pork Producers Association, Dr. Gianola traveled to the
People's Republic of China in 1980 as leader of a team to assess the value of Chinese swine
breeds to the U. S. swine industry. From information obtained on this trip and from French
scientists working with Chinese breeds in France, where Dr. Gianola took a sabbatical leave in
1982, he estimated that 5-8 extra pigs weaned per sow could be obtained by using this genetic
material in the U.S. Dr. Gianola was an integral part of a team composed of University of Illinois
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scientists, Illinois swine producers and the Dean of the College of Agriculture that campaigned,
against great obstacles, to bring Chinese pigs to campus. Largely due to the efforts of this
group, U.S.D.A. approved a protocol for importation of Chinese pigs, $1.75 million was approved
by the state legislature for the construction of new swine research facilities on campus for
Chinese pigs and about $1 million was appropriated by the state legislature for the actual
importation of the pigs, which occurred in July 1989. Dr. Gianola also engaged in collaborative
research dealing with postnatal factors affecting production and reproduction in pigs.
In the future, Dr. Gianola will continue working on Bayesian estimation problems in
quantitative genetics.
SERVICE
1. University Service
Dr. Gianola served the Department of Animal Sciences of the University of Illinois in a
variety of ways between 1978 and 1990. He served on the Graduate Study Committee for a
number of years, including a stint as Chairman for two years, on the Department's Advisory
Committee, on the Promotions and Tenure Committee, on the Research Committee and on the
Honors Committee. He also served on the University of Illinois Mathematical and Statistical
Consulting Committee, on the Coordinating Committee for the Graduate College Program in
Statistics and on a College of Agriculture Committee to review the teaching of Statistics in the
College. He was a member and Chairman of the Search Committee for a position in Application
of Supercomputers to Animal Agriculture, and a member of the Search Committee for a
Theoretical Biologist in the Department of Ecology, Ethology and Evolution. Dr. Gianola served
as advisor to 8 to 20 undergraduate students between 1978 and 1987.
Dr. Gianola has also informally assisted graduate students and faculty in Animal Science and
other departments with experimental design and statistical analysis problems. At Illinois, he was
a member of the Mathematical and Statistical Consulting Committee, a Charter Member of the
Graduate College Statistics program (GCSP), and an elected member of the Coordinating
Committee of the GCSP.
While at the University of Wisconsin, Dr. Gianola has been a member of the Graduate
Committee and of the Awards Committee of the Department of Animal Sciences, and of the
Research and Graduate Study Committees of the Dairy Science Department. He was a founding
member of the Sewall Wright Institute for Quantiative Biology and has served as University
Senator 2003-2005.
2. Professional and Public Service
Dr. Gianola has been active in the American Dairy Science Association, the American
Society of Animal Science, the American Statistical Association, the Royal Statistical Society and
the Biometrics Society. Dr. Gianola has been reviewer of research proposals submitted to the
National Sciences and Engineering Research Council of Canada, to F.C.A.C. (Fonds pour l'aide et
le soutien a la recherche, Programme d' actions structurantes), Canada, to the NC-1 North
Central Regional Project "Improvement of Beef Cattle through Breeding Methods," to BARD (U.S.-
Israel Binational Agricultural Research and Development Fund), to the University of Illinois
Research Board, to the Wisconsin Agriculture Experiment Station and to the National Science
Foundation.
Private and public organizations such as the Indianapolis Center for Advanced Research,
the World Bank, the U. S. Agency for International Development (through Purdue University), the
(France), and the Moorman Manufacturing Co., Quincy, Illinois, periodically seek Dr. Gianola's
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technical input. His work as an international public servant has been important and of quality.
He has appraised family planning-nutrition projects, prepared reports on support of agricultural
research in developing countries, reviewed livestock research programs in Africa, and developed
ranch models for commercial and tribal areas in Botswana. He has advised the University of
Tras-os-Montes e Alto Douro, Portugal on research and institutional development. He also
supervised the implementation and development of three large ranches in the Shaba (ex-
Katanga) region of Zaire. He has been a member of the Technical Committee of the NC-1
regional project "Improvement of beef cattle through breeding methods" from 1978 through
1987. He was on the Selection Committee for the Outstanding Young Researcher Award (1988),
American Society of Animal Science, Midwestern Region; for the J. L. Lush Award in Animal
Breeding and Genetics (1990, 1991, 1992), American Dairy Science Association; for the J.C.
Bouffault Memorial Award in International Agriculture (1994), American Society of Animal
Science. In 1994, he was elected President of the American Statistical Association, Wisconsin
Chapter.
3. Editorship of Journals or Other Learned Publications
Journal of Heredity (1980-1985): Editorial Board
Genetique, Selection, Evolution (1983-1989): Editorial Board
Journal of Dairy Science (1991-1996): Editorial Board
Genetics and Molecular Biology (1994-Present): Editorial Board
Biometrics (1997-1999): Editorial Board
Genética y Genómica Animal en Línea (2003-): Editorial Borrad
Frequent referee:
American Statistician, Animal Production, Animal Research, Biometrical Journal,
Biometrics, Evolution, Genetical Research, Genetics, Genetics-Selection-Evolution, Heredity,
Journal of Animal Science, Journal of Computational and Graphical Statistics, Journal of Dairy
Science, Livestock Production Science, Societe Francaise de Statistique, South African Journal of
Animal Science, Statistics in Medicine, Theoretical and Applied Genetics.
LANGUAGES
Fluent in English, French and Spanish. Operational in Portuguese.
March 8, 2007
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