Free Access
| Issue |
Genet. Sel. Evol.
Volume 33, Number 5, September-October 2001
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|---|---|---|
| Page(s) | 473 - 486 | |
| DOI | https://doi.org/10.1051/gse:2001128 | |
References
- 1
- Boichard D., Lee A.J., Approximate accuracy of genetic evaluation under a single-trait animal model, J. Dairy Sci. 75 (1992) 868-877.
- 2
- Efron B., Tibshirani R.J., An introduction to the Bootstrap, Chapman and Hall, New York, 1993.
- 3
- Foulley J.L., Chevalet C., Méthode de prise en compte de la consanguinité dans un modèle simple de simulation de performances, Ann. Génét. Sél. Anim. 13 (1981) 189-195.
- 4
- Foulley J.L., Schaeffer L.R., Song H., Wilton J.W., Progeny size in an organized progeny test program of AI beef bulls using reference sires, Can. J. Anim. Sci. 63 (1983) 17-26.
- 5
- Foulley J.L., Hanocq E., Boichard D., A criterion for measuring the degree of connectedness in linear models of genetic evaluation, Genet. Sel. Evol. 24 (1992) 315-330.
- 6
- Gaenssler P., Welner J.A., Glivenko-Cantelli Theorems, in: Kotz S., Johnson N.L., Wiley and Sons (Eds.), Encyclopedia of Statistical Sciences, New York, 3, 1983, pp. 442-445.
- 7
- Gelfand A.E., Smith A.F.M., Sampling-based approaches to calculating marginal densities, J. Am. Stat. Assoc. 85 (1990) 398-409.
- 8
- Gengler N., Misztal I., Approximation of reliability for multiple-trait animal models with missing data by canonical transformation, J. Dairy Sci. 79 (1996) 317-328.
- 9
- Graser H.U., Tier B., Applying the concept of number of effective progeny to approximate accuracies of predictions derived from multiple trait analyses, Proc. Ass. Advmt. Anim. Breed. Genet., in: Proceedings of the 12th conference, Dubbo, NSW, Australia, 6th-10th April 1997: part 1. AAABG Distribution Service c/AGBU, Armidale, pp. 547-552.
- 10
- Greenhalg S.A., Quaas R.L., Van Vleck L.D., Approximation prediction error variances for multiple trait sire evaluations, J. Dairy Sci. 69 (1986) 2877-2883.
- 11
- Hageman L.A., Young D.M., Applied Iterative Methods. Computer Science and Applied Mathematics, Academic Press, Inc., San Diego, 1981.
- 12
- Harris B., Johnson D., Approximate reliability of genetic evaluations under an animal model, J. Dairy Sci. 81 (1998) 2723-2728.
- 13
- Henderson C.R., Applications of linear models in animal breeding, University of Guelph, Guelph, Ontario, 1984.
- 14
- Institut de l'élevage, Inra, Results of the genetic evaluation Iboval 2000 for the beef cattle breeds, Édition 2000/1, CR 2916, Institut de l'élevage, Paris, 2000.
- 15
- Jamrozik J., Schaeffer L.R., Jansen G.B., Approximate accuracies of prediction from random regression models, Livest. Prod. Sci. 66 (2000) 85-92.
- 16
- Kennedy B.W., Trus D., Considerations on genetic connectedness between management units under an animal model, J. Anim. Sci. 71 (1993) 2341-2352.
- 17
- Laloë D., Precision and information in linear models of genetic evaluation, Genet. Sel. Evol. 25 (1993) 557-576.
- 18
- Laloë D., Phocas F., Ménissier F., Considerations about measures of precision and connection in mixed linear models of genetic evaluation, Genet. Sel. Evol. 28 (1996) 359-378.
- 19
- Meyer K., Approximate accuracy of genetic evaluation under an animal model, Livest. Prod. Sci. 21 (1989) 87-100.
- 20
- Misztal I., Restricted maximum likelihood estimation of variance components in animal model using sparse matrix inversion and a supercomputer, J. Dairy Sci. 73 (1990) 163-172.
- 21
- Misztal I., Peres-Encizo M., Sparse matrix inversion for restricted maximum likelihood estimation of variance components by expectation-maximisation, J. Dairy Sci. 76 (1993) 1479-1483.
- 22
- NAG® , The NAG Fortran Library Manual, Mark 16. The Numerical Algorithm Group limited, 1993.
- 23
- Quaas R.L., Pollack E.J., Mixed model methodology for farm and ranch beef cattle testing programs, J. Anim. Sci. 51 (1980) 1277-1287.
- 24
- Thompson R., Wray N.R., Crump R.E., Calculation of prediction error variances using sparse matrix methods, J. Anim. Breed. Genet. 111 (1994) 102-109.
- 25
- Ufford G.R., Henderson C.R., Keown J.F., Van Vleck L.D., Accuracy of first lactation versus all lactation sire evaluations by Best Linear Unbiased Prediction, J. Dairy Sci. 62 (1979) 603-612.
- 26
- Weller J.I, Norman H.D., Wiggans G.R., Estimation of variances of prediction error for Best Linear Unbiased Prediction models with relationships included, J. Dairy Sci. 68 (1985) 930-938.
- 27
- Wilmink J.B., Dommerholt J., Approximate Reliability of Best linear Unbiased Prediction in models with and without relationships, J. Dairy Sci. 68 (1985) 946-952.
Abstract
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