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Part of the book series: Advanced Series in Agricultural Sciences ((AGRICULTURAL,volume 18))

Abstract

Criteria for design of experiments to estimate within-population genetic parameters such as heritabilities and correlations are reviewed. The design and relative efficiency of sib covariance, offspring-parent regression and combinations of these estimators are described. Problems of objectives and models for design and analysis of selection experiments are discussed. The design of field experiments, for example to estimate covariances between indicator and production traits, is reviewed in terms of convenience and efficiency.

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References

  • Atkins KD, Thompson R (1986) Predicted and realised responses to selection for an index of bone length and body weight in Scottish Blackface sheep. 1. Response in the index and component traits. Anim Prod 43:421–435

    Article  Google Scholar 

  • Blair HT, Pollak EJ (1984) Estimation of genetic trend in a selected population with and without the use of a control population. J Anim Sci 58:878–886

    PubMed  CAS  Google Scholar 

  • Bohren BB (1975) Designing artificial selection experiments for specific objectives. Genetics 80:205–220

    PubMed  CAS  Google Scholar 

  • Bulmer MG (1980) The mathematical theory of quantitative genetics. Clarendon Press, Oxford

    Google Scholar 

  • Cameron ND, Thompson R (1986) Design of multivariate selection experiments to estimate genetic parameters. Theor Appl Genet 72:466–476

    Article  Google Scholar 

  • Eisen EJ (1967) Mating designs for estimating direct and maternal genetic variances and direct maternal covariances. Canad J Genet and Cytology 9:13–22

    CAS  Google Scholar 

  • Falconer DS (1981) Introduction to quantitative genetics. 2nd edn Longman, London

    Google Scholar 

  • Gianola D (1979) Estimation of genetic covariance from joint offspring-parent and sib-sib statistics. Genetics 93:1039–1049

    PubMed  CAS  Google Scholar 

  • Guiard V, Herrendorfer G (1977) Estimation of the genetic correlation coefficient by half-sib analysis if the characters are measured on different offsprings. Biometrical J 19:31–36

    Article  Google Scholar 

  • Hill WG (1970) Design of experiments to estimate heritability by regression of offspring on selected parents. Biometrics 26:566–571

    Article  PubMed  CAS  Google Scholar 

  • Hill WG (1971) Design and efficiency of selection experiments for estimating genetic parameters. Biometrics 27:293–311

    Article  PubMed  CAS  Google Scholar 

  • Hill WG (1972) Estimation of realised heritabilities from selection experiments. I. Divergent selection. Biometrics 28:747–765

    CAS  Google Scholar 

  • Hill WG (1980a) Design of quantitative genetic selection experiments. In: Robertson A (ed) Selection experiments in laboratory and domestic animals. Common Agric Bur, Slough, pp 1–13

    Google Scholar 

  • Hill WG (1980b) Experimental design in quantitative genetics and animal breeding. Unpublished notes for course in Göttingen, West Germany

    Google Scholar 

  • Hill WG (1985) Detection and genetic assessment of physiological criteria of merit. In: Land RB, Robinson DW (eds) Genetics of reproduction in sheep. Butterworths, London, pp 319–331

    Google Scholar 

  • Hill WG, Nicholas FW (1974) Estimation of heritability by both regression of offspring on parent and intra-class correlation of sibs in one experiment. Biometrics 30:447–468

    Article  PubMed  CAS  Google Scholar 

  • Hill WG, Thompson R (1977) Design of experiments to estimate offspring-parent regression using selected parents. Anim Prod 24:163–168

    Article  Google Scholar 

  • James JW (1986) Cumulative selection differentials and realized heritabilties with overlapping generations. Anim Prod 42:411–415

    Article  Google Scholar 

  • Johnson DL (1977) Variance-covariance structure of group means with overlapping generations. In: Pollak E, Kempthorne O, Bailey TB Jr (eds) Proceedings of the International Conference on Quantitative Genetics. Iowa State Univ Press, Ames, pp 851–858

    Google Scholar 

  • Land RB (1981) An alternative philosophy for animal breeding. Livest Prod Sci 8:95–99

    Article  Google Scholar 

  • Latter BDH, Robertson A (1960) Experimental design in the estimation of heritability by regression methods. Biometrics 16:348–353

    Article  Google Scholar 

  • Nicholas FW (1980) Size of population required for artificial selection. Genet Res 35:85–105

    Article  PubMed  CAS  Google Scholar 

  • Reeve ECR (1955) The variance of the genetic correlation coefficient Biometrics 11:357–374

    Google Scholar 

  • Robertson A (1959a) Experimental design in the evaluation of genetic parameters. Biometrics 15:219–226

    Article  Google Scholar 

  • Robertson A (1959b) The sampling variance of the genetic correlation coefficient. Biometrics 15:469–485

    Article  Google Scholar 

  • Sales J, Hill WG (1976a) Effect of sampling errors on efficiency of selection indices. 1. Use of information from relatives for single trait improvement. Anim Prod 22:1–17

    Article  Google Scholar 

  • Sales J, Hill WG (1976b) Effect of sampling errors on efficiency of selection indices. 2. Use of information on associated traits for improvement of a single important trait. Anim Prod 23:1–14

    Article  Google Scholar 

  • Sorensen DA, Kennedy BW (1983) The use of the relationship matrix to account for genetic drift variance in the analysis of genetic experiments. Theor Appl Genet 66:217–220

    Article  Google Scholar 

  • Tallis GM (1959) Sampling errors of genetic correlation coefficients calculated from analyses of variance and covariance. Aust J Stat 1:35–43

    Article  Google Scholar 

  • Taylor S CS (1976a) Multibreed designs. 1. Variation between breeds. Anim Prod 23:133– 144

    Article  Google Scholar 

  • Taylor S CS (1976b) Multibreed designs. 2. Genetic variation within and between breeds. Anim Prod 23:145–154

    Article  Google Scholar 

  • Taylor S CS, Hnizdo E (1987) Multibreed designs. 3. Inter-breed relationships. Anim Prod 44:39–53

    Article  Google Scholar 

  • Thompson R (1976a) Design of experiments to estimate heritability when observations are available on parents and offspring. Biometrics 32:283–304

    Article  PubMed  CAS  Google Scholar 

  • Thompson R (1976b) The estimation of maternal genetic variances. Biometrics 32:903–917

    Article  PubMed  CAS  Google Scholar 

  • Thompson R (1982) Methods of estimation of genetic parameters. In: Proc 2nd World Congr Genet Appl Livest Prod. Garsi, Madrid 5:95–103

    Google Scholar 

  • Thompson R (1986) Estimation of realized heritability in a selected population using mixed model methods. Genet Sel Evol 18:475–483

    Article  Google Scholar 

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© 1990 Springer-Verlag Berlin Heidelberg

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Hill, W.G. (1990). Considerations in the Design of Animal Breeding Experiments. In: Gianola, D., Hammond, K. (eds) Advances in Statistical Methods for Genetic Improvement of Livestock. Advanced Series in Agricultural Sciences, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74487-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-74487-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74489-1

  • Online ISBN: 978-3-642-74487-7

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