Skip to main content

The Future of Forest Tree Improvement in New Zealand

  • Chapter
  • First Online:
Book cover Tree Breeding and Genetics in New Zealand

Abstract

The NZ breeding programme is based on the populations evolved during the last 67 years. Clonal testing for within-family ‘forwards’ selection, recently begun in the RPBC breeding program, will increase gains in the breeding population without reducing its genetic variation. ‘Quicker’ selection is the key programme target to give higher gains per year in breeding and deployment. OP breeding methods can obviate grafted archives and shorten forwards-selected progeny testing while getting gains similar to CP. A single breeding population, utilising mate selection by algorithms developed by Kinghorn, has replaced the previous strategy. Efficiency gains can come from improved methods, such as the use of multiple environment trial (MET), BLUP reduced animal model and factor analysis. The implementation of genomic selection (GS) will mainly be for earlier selection than can be achieved using current screening methods. Somatic cloning is one method of cloning the breeding population. In spite of only 10–15% of seeds and few families yielding somatic clones, after field testing, they can be immediately mass-propagated from cryogenic storage and deployed. Direct deployment of somatic clones is the best means of using genomic selection, as well as CRISPR-type gene editing and gene transfer methods.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Jayawickrama, K.J.S. and M.J. Carson, 2000; A breeding strategy for New Zealand radiata pine. Silvae Genetica 49 (2000), pp. 82–90.

    Google Scholar 

  • Shelbourne, C. J. A., R. D. Burdon, S. D. Carson, A. Firth and T. G. Vincent. 1986: Development plan for radiata pine breeding. Forest Research Institute, Rotorua, New Zealand. 142pp.

    Google Scholar 

  • H. S. Dungey, J. T. Brawner, F. Burger, M. Carson, M. Henson, P. Jefferson and A. C. Matheson. 2009. A New Breeding Strategy for Pinus radiata in New Zealand and New South Wales. Silvae Genetica 58, 1–2 (2009).

    Article  Google Scholar 

  • Kinghorn, B.P., Shepherd, R.K. 1999. Mate selection for the tactical implementation of breeding programs. Assoc. Advmt. Anim. Breed. Genet. 13, 130–133, http://www.aaabg.org/livestocklibrary/1999/AB99025.pdf.

    Google Scholar 

  • Harry X. Wu, Henrik R. Hallingbäck, and Leopoldo Sánchez. 2016. Performance of Seven Tree Breeding Strategies Under Conditions of Inbreeding Depression, Genes/Genomes/Genetics Volume 6, pages 529–540| March 2016.

    Google Scholar 

  • Borralho, N. M. G., and G. W. Dutkowski, 1998 Comparison of rolling front and discrete generation breeding strategies for trees. Can. J. Res. 28: 987–993.

    Article  Google Scholar 

  • Alzamora, R.M., (2010) Valuing breeding traits for appearance and structural timber in radiata pine. PhD thesis. School of Forestry, University of Canterbury, 2010.

    Google Scholar 

  • Ivkovic M., H. Wu and S. Kumar. 2010. Development of breeding objectives for structural and appearance grade products: Bioeconomic modelling as a method for determining economic weights for optimal multiple trait selection. Silvae Geneticae, 59, 2–3 (2010).

    Article  Google Scholar 

  • Evison D and L. Apiolaza. 2014. Incorporating economic weights into radiata pine breeding selection decisions. Can J For Res 45:135–140.

    Article  Google Scholar 

  • Luis A. Apiolaza and Dorian J. Garrick. 2001. Breeding objectives for three silvicultural regimes of radiata pine, Can. J. For. Res. 31: 654–662 (2001).

    Article  Google Scholar 

  • King, J. N. and Burdon, R.D. 1991. Time trends in inheritance and projected efficiencies of early selection in a large 17-year-old progeny test of Pinus radiata. Can. J. For. Res. 21: 1200–1207.

    Article  Google Scholar 

  • Li Li and Harry X Wu. 2005. Efficiency and early selection for rotation-aged growth and wood density in Pinus radiata. Can.J. For. Res. 35 2015–2029.

    Article  Google Scholar 

  • S. Kumar & J. Lee. 2002 Age-Age correlations and early selection for end-of-rotation wood density in radiata pine. Forest Genetics 9 (4) 323–330.

    Google Scholar 

  • Shelbourne, C. J. A., S. Kumar, R. D. Burdon, L. D. Gea and H. S. Dungey. 2007: Deterministic Simulation of Gains for Seedling and Cloned main and Elite Breeding Populations of Pinus radiata and Implications for Strategy. Silvae Genetica 56: 253–300.

    Article  Google Scholar 

  • Alison B. Smith and Brian R. Cullis (In Press) Plant breeding selection tools built on factor analytic mixed models for multi-environment trial data. TAG.

    Google Scholar 

  • Cullis, B.R., Jefferson, P, Thompson, R, Smith, A.B. 2014. Factor analytic and reduced animal models for the investigation of additive genotype by environment interaction in outcrossing plant species with application to a Pinus radiata breeding program. Theoretical and Applied Genetics 127:2193–2210.

    Article  CAS  Google Scholar 

  • Carson, M.J. and C. S. Inglis, 1988. Genotype and location effects on internode length of Pinus radiata in New Zealand. New Zealand Journal of Forestry Science 18 (3): 267–79 (1988).

    Google Scholar 

  • Apiolaza, L.A., (2009). Very early selection for solid wood quality: screening for early winners. Ann For Sci. 66 (2009) 601 Available online at: c_ INRA, EDP Sciences, 2009 www.afs-journal.org DOI: https://doi.org/10.1051/forest/2009047.

    Article  Google Scholar 

  • Apiolaza, L.A., John C.F. Walker, Hema Nair, Brian Butterfield, 2008 Very early screening of wood quality for radiata pine: pushing the envelope. Proceedings of the 51st International Convention of Society of Wood Science and Technology November 10-12, 2008 Concepción, CHILE.

    Google Scholar 

  • Carson, S. D. 1989. Selecting radiata pine for resistance to Dothistroma needle blight. N. Z. J. For. Sci. 19 (1):3–21. (Reprint No. 2233).

    Google Scholar 

  • Carson, S. D., and M. J. Carson. 1989. Breeding for resistance in forest trees - a quantitative genetic approach. Ann. Rev. Phytopathology 27:373–95. (Reprint No. 2226).

    Article  Google Scholar 

  • Heidi S Dungey, Nari M. Williams, Charlie B. Low and Graham T. Stovold, 2014. First evidence of genetic-based tolerance to red needle cast caused by Phytophthora pluvialis in radiata pine. N Z J F. Science, December, 2014.

    Google Scholar 

  • Matheson, A.C.; Devey, M.E.; Gordon, T.R.; Balocchi, C.; Carson, M.J.; Werner, W. 2006. The genetics of response to inoculation by pine pitch canker (Fusarium circinatum Nirenberg and O’Donnell) infection by seedlings of radiata pine (Pinus radiata D. Don). Australian Forestry. 69 (2): 101–106.

    Article  Google Scholar 

  • Isik F, Bartholome J, Farjat A, Chancerel E, Raffin A, Sanchez L, Plomion C, Bouffier L. 2016: Genomic selection in maritime pine. Plant Sci 242:108–119.

    Article  CAS  Google Scholar 

  • Resende M.D.V., Resende M.F.R., Sansaloni C.P., Petroli C.D., Missiaggia A.A., Aguiar A.M., Abad J.M.,Takahashi E.K., Rosado A.M., Faria D.A., Pappas G.J., Kilian A, Grattapaglia D. 2012 Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. New Phytol 194:116–128.

    Article  Google Scholar 

  • Dario Grattapaglia. 2017. Status and Perspectives of Genomic Selection in forest Tree Breeding. Chapter 9 InGenomic Selection for Crop Improvement New Molecular Breeding Strategies for Crop Improvement. Eds. Rajeev K. Varshney, Manish Roorkiwal, Mark E. Sorrells. Springer.

    Google Scholar 

  • M.B. Powell, T.A. McRae, H.X. Wu, G.W. Dutkowski, D.J. Pilbeam (2004) Breeding Strategy for Pinus radiata in Australia. 2004 IUFRO joint conference of division 2, forest genetics and tree breeding in the age of genomics: progress and future, Charleston, South Carolina, USA – 1-5 November 2004.

    Google Scholar 

  • Carson, S. D., M. O. Kimberley, J. D. Hayes, M. J. Carson. 1999a. The effect of silviculture on genetic gain in growth of Pinus radiata at one-third rotation. Canadian Journal of Forestry Research 28 (2):248–258.

    Article  Google Scholar 

  • Carson, S.D., D. J. Cown, R. McKinley, and J. R. Moore. 2014. Effects of site, silviculture and seedlot on wood density and estimated wood stiffness in radiata pine at mid-rotation. New Zealand Journal of Forestry Science 44 (1).

    Google Scholar 

  • Carson, S. D., O. Garcia, and J. D. Hayes. 1999b. Realised gain and prediction of yield with improved Pinus radiata in New Zealand. Forest Science 45 (2):186–200.

    Google Scholar 

  • Mark O. Kimberley, John R. Moore, Heidi S. Dungey. 2015: Quantification of realised genetic gain in radiata pine and its incorporation into growth and yield modelling systems. Canadian Journal of Forest Research, 45 (12): 1676–1687, https://doi.org/10.1139/cjfr-2015-0191.

    Article  Google Scholar 

  • Mark Kimberley, John Moore and Heidi Dungey (In Press) Quantification of realised genetic gain for wood stiffness in New Zealand radiata pine.

    Google Scholar 

  • Mason E.G., Holmström E. and Nilsson U. 2018. Using hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot study. Scandinavian Journal of Forest Research 33 (2): 147–154. https://doi.org/10.1080/02827581.2017.1348539.

    Article  Google Scholar 

  • Walter, C., Carson, M. and Carson, S.D. 2005: Biotechnology applications to conifer plantation forestry. In Walter, C. and Carson, M. (eds.) Forest Biotechnology for the 21st Century. Research Signpost. Trivandrum, Kevali, India.

    Google Scholar 

  • Li Y, and Dungey H.S. (2018) Expected benefit of genomic selection over forward selection in conifer breeding and deployment. PLOS ONE 13(12): e0208232. https://doi.org/10.1371/journal.pone.0208232

    Article  Google Scholar 

Download references

Acknowledgements

A large number of colleagues at the NZFRI over many years have provided the basis for the NZ radiata pine tree improvement programme. Recent discussions with a number of current tree breeding colleagues have also contributed ideas and analysis, and in particular we thank Luis Apiolaza, Brian Cullis, Rob Woolaston, Shaf van Ballekom, Ruth McConnochie, Fred Burger, (the late) Paul Jefferson, Tony Shelbourne, Phil Wilcox, John McEwan, Dave Evison and Heidi Dungey for their inputs.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Carson, M. (2019). The Future of Forest Tree Improvement in New Zealand. In: Tree Breeding and Genetics in New Zealand. Springer, Cham. https://doi.org/10.1007/978-3-030-18460-5_16

Download citation

Publish with us

Policies and ethics