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2002 | 49 | 2 |

Tytuł artykułu

Mieszany model oceny wartosci hodowlanej w programach genetycznego doskonalenia drobiu miesnego

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EN
Evaluation of the breeding value of poultry includes the results of performance and progeny testing. In pedigree flocks of egg-laying and meat-type hens and ducks, the breeder's attention is focused on the performance of progeny, parents, grandparents and collateral relatives (full- and half-sibs). In the case of geese and turkeys, where birds of different age are kept in the same fleck, the evaluatin includes also the reproductive performance in first, second and third seasons of reproductive utilization. Much attention has been paid to statistical models for estimation of progeny value. Modern meat-type poultry breeding programs generally have a sequential structure in which evaluation of growth traits and slaughter value in the first stage is followed by the evaluation of reproductive traits after the birds have attained the sexual maturity. Multiple trait genetic evaluation makes it possible to overcome selection bias and prevents the depression of the genetic progress in the population. In genetic evaluation, the estimating of variance matrices requires the use of ANOVA-type procedures which may yield heavily biased results. When an analysis includes all the necessary data for making selection decisions, the Restricted Maximum Likelihood (REML) method applied in the Individual Animal Model (IAM) can alleviate an undesirable selection bias. This method is very useful when the computations involve large numbers of birds. The paper discusses basic statistical procedures used for estimating the breeding value of meat-type poultry, with special regard to the BLUP-AM model; the ways of estimating genetic variance components and of predicting genetic effects; and the advantages and disadvantages of the methods for estimating the breeding value of poultry.

Wydawca

-

Rocznik

Tom

49

Numer

2

Opis fizyczny

s.81-102,bibliogr.

Twórcy

autor
  • Instytut Zootechniki, 32-083 Balice k.Krakowa
autor
autor

Bibliografia

  • [1] Beaumont C. 1991. Comparison of Henderson method I and Restricted Maximum Likehood estimation of genetic parameters of reproductive traits. Poult. Sci. 70: 1462-1468.
  • [2] Box.G.E.P., Cocx D.R. 1964. An analysis of transformations. J. Royal Statistical Soc. Series B 26: 211- 243.
  • [3] Brodacki A., Zięba G., Wężyk S. 1996. Comparison of estimation methods of laying hens performance traits. Rocz. Nauk. Zoot. 23: 87-94.
  • [4] Brodacki A., Wężyk S. 1993. Principles of creation and utilization of selection indices in poultry breeding. Results of Poultry Performance Evaluation. Ed. Institute of Animal Prod., Kraków, v. 22: 135-154.
  • [5] Buddiger N., Albers G. 2000. Futuretrend in turkey breeding. Zootechnica International 23(2): 24-29.
  • [6] Danbaro G., Oyama K., Mukai F., Tsuji S., Tateishi T., Mae M. 1995. Heritabilities and genetic correlations from a selection experiment in broiler breeders using restricted maximum likehood. Japanese Poult. Sci. 32(4): 257-266.
  • [7] Dempfle L., Grundl E. 1988. Identification of superior animals and their use in improvement programmes. Advances in Animal Breeding, Pudoc Wageningen: 56-72.
  • [8] Demster A.P., Larod N.M., Rubin R.B. 1977. Maximum likehood from incomplete data via the EM algorithm. J. of the Royal Statistical Society Series 839: 1-22.
  • [9] Emmerson D.A., Anthony N.B., Nestor K.E. 1991. Genetics of growth and reproduction in the turkey.II. Evidence of non-additive genetic variation. Poult Sci. 70: 1084-1091.
  • [10] Graser H.U., Smith S.P., Tier B. 1987. A derivative-free approach for estimating variance components in animal models by restricted maximum likehood. J. Animal Sci. 64: 1362-1370.
  • [11] Hagger C. 1986. Genetic effect estimated from cross and backcrosses of two related lines of White Leghorn chickens. J. Anim. Breed Genet. 106: 241-248.
  • [12] Hagger C. 1991. Phenotypic and genetic effects on feed intake of laying hens in different years. Poult. Sci. 70(3): 434-439.
  • [13] Hagger C. 1992. Two generations of selection on restricted best linear unbiased prediction breeding values for income minus feed cost in laying hens. J. of Animal Sci. 70: 2045-2052.
  • [14] Havenstein G.B., Toelle V.D., Nestor K.E., Bacon W.L. 1988. Estimates of genetic parameters in turkeys. 2. Body weightand carcass characteristics. Poult. Sci. 67: 1388-1399.
  • [15] Hazel L.N. 1953. The genetic basis for constructing selection indices. Geneties 28: 476-490.
  • [16] Henderson C.R. 1973. Sire evaluation and genetics trends. W: Proc. of Animal Breeding and Genetic Symposium in Honour of Dr Jay Lush, American Society: 10-41.
  • [17] Henderson C.R. 1975. Best linear unbiased estimation and prediction under a selection model. Biometries 31: 423-447.
  • [18] Henderson C.R. 1976. A simple method for computing the inverse of a numerator relationship matrix used in prediction of breeding value. Biometric 32: 69-83.
  • [19] Henderson C.R. 1980. A simple method for unbiased estimation of variance components in mixed model. J. Animal Sci. 51 (Suppl. 2): 119.
  • [20] Henderson C.R. 1988. Theoretical basis and computational methods for a number of different animal models. J. Dairy Sci. 71 (Suppl. 2): 1-6.
  • [21] Jeyaruban M.G., Gibson J.P., Gowe R.S. 1995. Comparison of index selection and best linear unbiased prediction for simulated layer poultry data. Poult. Sci. 74: 1566-1576.
  • [22] Kennedy B.W. 1989. Animal Model BLUP. Trinity College, Dublin: ss. 46.
  • [23] Koerhuis A.N.M. 1996. Non-normality egg production distributions in poultry and the effects of outlier elimination and transformation on size curvlinearity of heritability. Livestock Production Sci. 45: 69-85.
  • [24] Koerhuis A.N.M., McKay J.C. 1996. Restricted maximum likehood estimation of genetic parameters for egg production traits in relation to juvenile body weight in broiler chickens. Livestock Production Sci. 46: 117-127.
  • [25] Koerhuis A.N.M., McKay J.C., Hill W.G., Thopmson R. 1997. A genetic analysis of egg quality traits and their matemal influence on offspring-parental regression of juvenile body weight performance in broiler chickens. Livestock Production Sci. 49: 203-215.
  • [26] Malik S., Varna S.K., Gupta U.D. 1991. Genetic association of growth, production and feed efficiency traits in IWH strain of White Leghorn. Ind. Anim. Sci. 61: 215-217.
  • [27] Meyer K. 1989. Restricted maximum likehood to estimate variance components for animal model with several random effects using a derivate-free algorithm. Genetics, Selection, Evolution 21: 317-340.
  • [28] Mielenz N., Groeneveld E., Muller J., Spilke J. 1994. Simultaneous estimation of variance and covariances using REML and Henderson 3 in selected population of White Leghorn. British Paul. Sci. 35: 669-676.
  • [29] Misztal I., Gianola D., Schaeffer L.R. 1987. Extrapolation and convergence criteria with Jacobi and Gauss-Seidel iteration in animal models. J. Dairy Sci. 70: 2577-2584.
  • [30] Morris A.J., Pollott G.E. 1997. Comparison o selection based on phenotype, selection index and best linear unbiased prediction using data from closed broiler line. British Poult. Sci. 38: 249-254.
  • [31] Nordskog A.W., Hou Y.H., Singh H., Chang S. 1991. Selecting for efficiency of egg production using food-consumption records in layer-type chickens. Brit. Poult. Sci. 32(1): 87-101.
  • [32] Patterson H.D., Thomson R. 1971. Recovery in inter-block information when block sizes are unequal. Biometrica 58: 545-555.
  • [33] Pollak E.J., Werf J. van der, Quaas R.L. 1984. Selection bias and multiple trait evaluation. J. Animal Sci. 52: 267-264.
  • [34] Pribil J.., Pribilova J. 1991. The use of BLUP method for the construction of selection indexes in egg laying poultry. Scientia Agriculturae. Bohemoslovaca 23: 135-144.
  • [35] Quaas R.L. 1976. Computing the diagonal elements and inverse of a large numerator relationship matrix. Biometrix 32: 949-953.
  • [36] Quaas R.L., Pollak E.J. 1980. Mixed model methodology for farm and ranch beef cattle testing programs. J. Anim. Sci. 51: 1277-1287.
  • [37] Rao C.R 1971. Minimum variance quadratic unbiased estimation of variance components. J. Multivariate Analysis 1: 445-456.
  • [38] Robertson A. 1959. The sampling variance of the genetic correlation coefficient. Biometric 15: 285-289.
  • [39] Rosiński A. 2000. Analysis of direct and correlated effects of selection in two goose strains. Ed. Agricultural University, Poznań 309: 107.
  • [40] Rouvier R., Guy G., Rousselot-Pailley, Poujardieu B. 1994. Genetic parameters from factorial cross breeding in two duck strains (Anas Platyrhynchos) Brown Tsaiya and Pekin, for growth and fatty liver traits. British Poult. Sci. 35: 509-517.
  • [41] Shaeffer L.R. 1986. Pseudo expectation approach to variance component estimation. J. Dairy Science 69: 2894-2889.
  • [42] Szwaczkowski T., Wężyk S. 1994. Estimation of the heritability of performance traits in laying hens by Animal Model-Reml. Rocz. Nauk. Zoot. 21(1-2): 33-39.
  • [43] Szwaczkowski T., Wężyk S., Cywa-Benko K. 1997. Animal models vs classical selection index in the breeding value estimation of laying hens. Animal Sci. Papers and Reports 15: 47-53.
  • [44] Szwaczkowski T., Wężyk S. 1995. Genetic and phenotypic correlations between the productivity traits in laying hens estimated by REML-Animal Model for different transformed data-sets. Rocz. Nauk. Zoot. 22(1): 67-72.
  • [45] Thompson R., Hill 1990. Univariate REML analyses for mulvariate data with the animal model. Proc. 4th World. Congr. Genet. Livest. Prod. Edinburgh, UK: 231-246.
  • [46] Thompson R., Meyer K. 1986. A reviev of theoretical aspects in the estimation of breeding values for multitrait selection. Livestock Production Science 15: 299-313.
  • [47] Thompson R., Crump R.E., Juga J., Visscher P.M. 1995. Estimating variances for bivariate animal model using scaling and transformation. Genet. Sci. Eval. 27: 33-42.
  • [48] Van Raden P.M., Hoeschele I. 1991. Rapid inversion of additive by additive relationship matrices by including sire-dam combination effects. J. Dairy Sci. 74: 570-579.
  • [49] Wei M., van der Werf J.H.J. 1993. Animal model estimation of additive and dominance variance in egg production traits of poultry. J. Anim. Sci. 71: 57-63.
  • [50] Wężyk S. 1978. System SELECT dla stad zarodowych drobiu. Wyniki Prac Bad. Zakładu Hod. Drobiu. Wyd. Instytut Zootechniki, Kraków 7: 7-18.
  • [51] Wężyk S., Szewczyk A. 1993. An attempt of applying the animal model in estimating the breeding value of laying hens. Rocz. Nauk. Zoot. 20(2): 39-49.
  • [52] Wężyk S., Szwaczkowski T. 1997. Application of mixed model methodology in breeding strategies for laying fowl. World's Poult. Sci. J. 53(4): 325- 336.

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Bibliografia

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