Log in

Family Selection Improves the Efficiency and Effectiveness of Selecting Original Seedlings and Parents

  • Research Article
  • Published:
Sugar Tech Aims and scope Submit manuscript

Abstract

Family selection has been used in several sugarcane breeding programs for many years, and has been shown to be superior to individual selection (also known as mass selection), in terms of gains from selection, resource efficiency, and cost of operation. Other breeding programs have expressed interest in family selection, but the technique has not been widely adopted for logistical reasons. Suggestions for overcoming the constraints to family selection are made. Family selection has also been shown to provide a superior method for estimating the breeding value of parent clones. Objective data on the performance of families provides invaluable information on the breeding performance of parent clones. Best Linear Unbiased Predictors (BLUPs) can be estimated for a range of traits from the results of family selection trials, and these are estimates of breeding value. In Australia, current research is aimed at improving the BLUP estimates by combining data across all selection programs, including family × environment interactions, and partitioning the genetic effects of each parent into additive and non-additive genetic effects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Atkin, F.C., M.J. Dieters, and J.K. Stringer. 2009. Impact of depth of pedigree and inclusion of historical data on the estimation of additive variance and breeding values in a sugarcane breeding program. Theoretical and Applied Genetics 119: 555–565.

    Article  PubMed  Google Scholar 

  • Barbosa, M.H.P., M.D.V. de Resende, L.A. Peternelli, J.A. Bressiani, L.C.I. da Silveira, F.L. da Silva, and I.C.R. de Figueiredo. 2004. Use of REML/BLUP for the selection of sugarcane families specialised in biomass production. Crop Breeding and Applied Biotechnology 4: 218–226.

    Google Scholar 

  • Barbosa, M.H.P., M.D.V. de Resende, J.A. Bressiani, L.C.I. da Silveira, and L.A. Peternelli. 2005. Selection of sugarcane families and parents by Reml/Blup. Crop Breeding and Applied Biotechnology 5: 443–450.

    Article  Google Scholar 

  • Bond, R.S. 1989. Observations on family selection in the Mount Edgecombe sugarcane breeding programme. Proceedings of the South African Sugar Technologists Association 63: 132–135.

    Google Scholar 

  • Bressiani, J.A., R. Vencovsky, and W.L. Burnquist. 2005. Modified family selection in sugarcane. Proceedings of the International Society of Sugar Cane Technologists 25: 459–467.

    Google Scholar 

  • Chang, Y.S., and S.B. Milligan. 1992a. Estimating the potential of sugarcane families to produce elite genotypes using bivariate prediction methods. Theoretical and Applied Genetics 84: 633–639.

    CAS  PubMed  Google Scholar 

  • Chang, Y.S., and S.B. Milligan. 1992b. Estimating the potential of sugarcane families to produce elite genotypes using univariate cross prediction methods. Theoretical and Applied Genetics 84: 662–671.

    CAS  PubMed  Google Scholar 

  • Costa e Silva, J., N.M.G. Borralho, and B.M. Potts. 2004. Additive and non-additive genetic parameters from clonally replicated and seedling progenies of Eucalyptus globulus. Theoretical and Applied Genetics 108: 1113–1119.

    Article  PubMed  Google Scholar 

  • Cox, M.C. and D.M. Hogarth. 1993. The effectiveness of family selection in early stages of a sugarcane improvement program. In: Focussed Plant Improvement: Towards Responsible and Sustainable Agriculture, eds. B.C. Imrie, and J.B. Hacker, 53–54, vol 2. Proceedings of the Tenth Australian Plant Breeding Conference, Gold Coast, Australia.

  • Cox, M.C., T.A. McRae, J.K. Bull, and D.M. Hogarth. 1996. Family selection improves the efficiency and effectiveness of a sugarcane improvement program. In Sugarcane: Research towards efficient and sustainable production, eds. J.R. Wilson, D.M. Hogarth, J.A. Campbell, and A.L. Garside, 42–43. Brisbane: CSIRO Division of Tropical Crops and Pastures.

    Google Scholar 

  • Cox, M.C., and J.K. Stringer. 1998. Efficacy of early generation selection in a sugarcane improvement program. Proceedings of the Australian Society of Sugar Cane Technology 20: 148–153.

    Google Scholar 

  • Gilmour, A.R., B.R. Cullis, and A.P. Verbyla. 1997. Accounting for natural and extraneous variation in the analysis of field experiments. Journal of Agricultural, Biological and Environmental Statistics 2: 269–293.

    Article  Google Scholar 

  • Gilmour, A.R., B.J. Gogel, B.R. Cullis, R. Thompson, et al. 2006. ASReml User Guide Release 2.0. Hemel Hempstead: VSN International Ltd.

    Google Scholar 

  • Hazel, D.L. 1943. The genetic basis for constructing selection indices. Genetics 28: 476–490.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Henderson, C.R. 1984. Applications of linear models in animal breeding. Guelph: University of Guelph.

    Google Scholar 

  • Hogarth, D.M. 1971. Quantitative inheritance studies in sugarcane II. Correlations and predicted responses to selection. Australian Journal of Agricultural Research 22: 103–109.

    Article  Google Scholar 

  • Hogarth, D.M. 1987. Genetics of sugarcane. In Sugarcane improvement through breeding, ed. D.J. Heinz, 255–271. Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Hogarth, D.M., and R.T. Mullins. 1989. Changes in the BSES plant improvement program. Proceedings of the International Society of Sugar Cane Technologists 20: 956–961.

    Google Scholar 

  • Hogarth, D.M., and J.C. Skinner. 1967. A sampling method for measuring yields in sugar cane in replicated trials. Technical Communication Bureau of Sugar Experiment stations, Queensland, No. 1.

  • Hogarth, D.M., and J.C. Skinner. 1986. Computerisation of plant breeding records. Proceedings of the International Society of Sugar Cane Technologists 19: 478–491.

    Google Scholar 

  • Hogarth, D.M., and J.C. Skinner. 1987. Computerisation of parental selection. 87–101 Copersucar International Sugarcane Breeding Workshop. Piracicaba: Copersucar Technology Center.

    Google Scholar 

  • Jackson, P.A., J.K. Bull, and T.A. McRae. 1995. The role of family selection in sugarcane breeding programs and the effect of genotype × environment interactions. Proceedings of the International Society of Sugar Cane Technologists 22(2): 261–270.

    Google Scholar 

  • Kennedy, A.J., and S. Bellamy. 1997. The experimental basis and practical application of family selection as a tool in the early stages of selection of varieties of sugar cane in Barbados. Proceedings of the WIST XXVI Conference, Guyana. 56–63.

  • McRae, T.A., D.M. Hogarth, J.W. Foreman, and M.J. Braithwaite. 1993. Selection of sugarcane families in the Burdekin district. In: Focused Plant Improvement: Towards Responsible and Sustainable Agriculture, eds. B.C. Imrie, and J.B. Hacker, 77–82, vol 1. Proceedings of the Tenth Australian Plant Breeding Conference, Gold Coast, Australia.

  • Mrode, R.A. 2005. Linear models for the prediction of animal breeding values. Wallingford: CABI Publishing.

    Book  Google Scholar 

  • Ortiz, R., and A. Caballero. 1989. Effectiveness of early sugarcane selection procedures in Cuba. Proceedings of the International Society of Sugar Cane Technologists 20: 932–937.

    Google Scholar 

  • Skinner, J.C. 1961. Sugar cane selection experiments. 2. Competition between varieties. Technical Communication Bureau of Sugar Experiment stations, Queensland, No. 1.

  • Skinner, J.C. 1967. Grading varieties for selection. Proceedings of the International Society of Sugar Cane Technologists 12: 938–949.

    Google Scholar 

  • Skinner, J.C., D.M. Hogarth, and K.K. Wu. 1987. Selection methods, criteria, and indices. In Sugarcane improvement through breeding, ed. D.J. Heinz, 409–453. Amsterdam: Elsevier.

    Chapter  Google Scholar 

  • Smith, H.F. 1936. A discriminant function for plant selection. Annals of Eugenics 7: 240–250.

    Article  Google Scholar 

  • Stringer, J.K., T.A. McRae, and M.C. Cox. 1996. Best linear unbiased prediction as a method of estimating breeding value in sugarcane. In Sugarcane: research towards efficient and sustainable production, eds. J.R. Wilson, D.M. Hogarth, J.A. Campbell, and A.L. Garside, 39–41. Brisbane: CSIRO Division of Tropical Crops and Pastures.

    Google Scholar 

  • Stringer, J.K., X. Wei, F.C. Atkin, M.C. Cox, P.J. Lethbridge, and P.A. Jackson. 2009. An optimised sugarcane improvement program using advanced experimental design, analysis methods and a genetic evaluation system. SABRAO Journal of Breeding and Genetics, 41: Special Supplement, CD-ROM.

  • Sukarso, G. 1986. Assessment of family selection on original seedlings of sugarcane at Pasuruan. Proceedings of the International Society of Sugar Cane Technologists 19: 440–446.

    Google Scholar 

  • Tai, P.Y.P., and J.D. Miller. 1989. Family performance at early stages of selection and frequency of superior clones from crosses among Canal Point cultivars of sugarcane. Journal of American Society of Sugar Cane Technologists 9: 62–70.

    Google Scholar 

  • Wei, X., P. Jackson, M. Cox, and J. Stringer. 2006. Maximising economic benefits to the whole sugarcane industry from the BSES-CSIRO sugarcane improvement program. Proceedings of Australian Society of Sugar Cane Technologists 28: 181–186.

    Google Scholar 

  • Wu, K.K., and T.L. Tew. 1989. Evaluation of sugarcane crosses by family yields. Proceedings of the International Society of Sugar Cane Technologists 20: 925–930.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. K. Stringer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Stringer, J.K., Cox, M.C., Atkin, F.C. et al. Family Selection Improves the Efficiency and Effectiveness of Selecting Original Seedlings and Parents. Sugar Tech 13, 36–41 (2011). https://doi.org/10.1007/s12355-011-0073-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12355-011-0073-5

Keywords

Navigation