Departamento de Producción Animal U.B.A.

Montana State University

University of Illinois


University of Guelph


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1. Cantet, R.J.C.; Kress, D.D.; Anderson, D.C., Doornbos, D.; Burfening, P.J. & R. Blackwell. 1988. Direct and maternal variances and maternal phenotypic effects on preweaning growth of beef cattle. J. Anim. Sci.,.66: 648-660.

2. Cantet, R.J.C.; C.Smith. 1991. Reduced animal model for marker assisted selection using best linear unbiased prediction. Genet. Sel. Evol. 23:221-233. pdf

3. Cantet, R.J.C.; L.R. Schaeffer; C. Smith. 1992. Reduced animal model with genetic grouping and maternal effects. J. Anim. Sci. 70:1730-1741. pdf

4. Cantet,R.J.C.; R.L.Fernando. 1995. Prediction of breeding values with additive animal models for crosses from two populations. Genet.Sel.Evol. 27(4): 323-334. word

5. Lo,L.L.; R.L.Fernando; Cantet, R.J.C.; M.Grossman. 1995. Theory for modelling means and covariances in a two-breed population with dominance inheritance. Theoret.Appl. Genet. 90:49-62.

6. Cantet,R.J.C. 1997. Effects of excluding a set of random effects on prediction error variance of breeding value. J. Anim. Breed. Genet. 114:267-274. pdf

7. Santos Cristal, M.G.; Cantet, R.J.C. 1998. Análisis de la selección por características de crecimiento en la raza Brangus de Argentina. Zootecnia Tropical. 16:253-266. pdf

8. Cantet, R.J.C.; A.N.Birchmeier; M.G.Santos-Cristal de Sivak; V.S. de Avila. 2000.Comparison of Restricted Maximum Likelihood and Method R for Estimating Heritability and Predicting Breeding Value under Selection. J. Anim. Sci.78:2554-2560. pdf

9. Pruzzo,L.; Danelón, J. L.; Cantet,R.J.C. 2001. Calculating Economic Values for Milk Components in a Pasture-Based-Dairy-System: The case of Argentina. Arch. Latinoam. Prod. Anim. 9: 25-29. pdf

10. Birchmeier, A.N., Cantet, R.J.C.;Fernando,R.L; Morris,C.A.; Holgado, F.; Jara, A.; Santos Cristal, M.G. 2002. Estimation of segregation variance for birth weight in beef cattle. Livest.Prod.Sci. 76:27-35. pdf

11. Schneider, M. del P.; Cantet, R.J.C.; Santos Cristal, M. G. 2002. Aplicación del análisis de supervivencia en el mejoramiento genético para longevidad en rodeos lecheros. Rev.Arg.Prod.Anim. 22:127-140. pdf

12. Vitezica, Z. G.; Cantet, R. J.C. 2003.Ponderaciones de la información familiar e individual en modelos animales y BLUP: 1. Modelos con grupos genéticos, 2. Modelos con paternidad incierta. ITEA: Producción Animal (España) 99A(1): 80-89. pdf

13.Cantet, R. J. C.; Steibel, J. P. ; Birchmeier, A. N.; Santa Coloma, L.F. 2003. Bayesian estimation of genetic parameters for growth and carcass traits of grass-fed beef cattle by data augmentation. Archiv für Tierzucht.46: 435-444. pdf

14. Pruzzo, L.; Cantet, R. J. C.; C. Fioretti. 2003. Risk adjusted expected return for selection decisions. J. Anim. Sci. 81:2984-2988. pdf

15. Cantet, R. J. C.; Birchmeier, A. N; Steibel, J. P. 2004. Full conjugate analysis of normal multiple traits with missing records using a Generalized Inverted Wishart. Genetics, Selection, Evolution. 36:49-64. pdf

Other Research

1. Boca, R. T. ; Cantet, R. J.C. 2004. Estimation of additive and dominance variance components in maize using REML and relationship matrices. Maydica 49: 295-302. pdf

2. Biolatto, A.; Salitto, V.; Cantet, R.J.C.; Penzel, N.A. 2005. Influence of different postharvest treatments on nutritional quality of grapefruits. LWT Food Science and Technology. 38:131-134. pdf

3. Biolatto, A.; Sancho, A. M.; Cantet, R.J.C.; Guemes, D. R., Pensel, N. 2002. The use of Nootkatone as a senescence indicator for Rouge 'La Toma' Cv. Graperfruit (Citrus paradisi Macf.). J. Agricultural and Food Chemistry 50:4816-4819. pdf

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  • Aplications of mixed linear models to animal and plant genetic evaluations.
  • Quantitative genetics
  • Mixed linear models