Have a personal or library account? Click to login

A Combined Analysis in Complementary Progeny Tests: Effects on breeding value accuracies

Open Access
|Jun 2017

References

  1. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19:716–723. Available at http://dx.doi.org/10.1109/tac.1974.110070510.1109/TAC.1974.1100705
  2. Cappa EP, Yanchuk AD, Cartwright CV (2013) Bayesian inference for multi-environment spatial individual-tree models with additive and full-sib family genetic effects for large forest genetic trials. Ann For Sci 69:627–640. Available at http://dx.doi.org/10.1007/s13595-011-0179-710.1007/s13595-011-0179-7
  3. Costa e Silva J, Dutkowski GW, Gilmour AR (2001) Analysis of early tree height in forest genetic trials is enhanced by including a spatially correlated residual. Can J For Res 31:1887-1893. Available at http://dx.doi.org/10.1139/cjfr-31-11-188710.1139/x01-123
  4. Costa e Silva J, Potts BM, Dutkowski GW (2006) Genotype by environment interaction for growth of Eucalyptus globulus in Australia. Tree Genet Genomes 2:61–75. Available at http://dx.doi.org/10.1007/s11295-005-0025-x10.1007/s11295-005-0025-x
  5. Ding M, Tier B, Dutkowski GW (2008) Multi-environment trial analysis for Pinus radiata. New Zeal J For Sci 38:143-159
  6. Dutkowski GW, Costa e Silva J, Gilmour AR, Lopez GA (2002) Spatial analysis methods for forest genetics trials. Can J For Res 32:2201-2214. Available at http://dx.doi.org/10.1139/x02-11110.1139/x02-111
  7. Dutkowski GW, Costa e Silva J, Gilmour AR, Wellendorf H, Aguiar A (2006) Spatial analysis enhances modeling of a wide variety of traits in forest genetic trials. Can J For Res 36:1851-1870. Available at http://dx.doi.org/10.1139/x06-05910.1139/x06-059
  8. El-Kassaby YA, Cappa EP, Liewlaksaneeyanawin C, Klapste J, Lstiburek M (2011) Breeding without Breeding: Is a complete pedigree necessary for efficient breeding? PLoS ONE 6(10): e25737. Available at http://dx.doi.org/10.1371/journal.pone.002573710.1371/journal.pone.0025737318501421991342
  9. Gilmour AR, Culli BR, Verbyla AP (1997) Accounting for natural and extraneous variation in the analysis of field experiments. J Agr Biol Envir St 2:269-293. Available at http://dx.doi.org/10.2307/140044610.2307/1400446
  10. Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2009) ASReml User Guide Release 3.0 VSN International Ltd, Hemel Hempstead, HP1 1ES, UK. www.vsni.co.uk
  11. Hardner CM, Dieters M, Dale G, DeLacy I, Basford KE (2010) Patterns of geno-type-by-environment interaction in diameter at breast height at age 3 for eucalypt hybrid clones grown for reafforestation of lands affected by salinity. Tree Genet Genomes 6:833-851. Available at http://dx.doi.org/10.1007/s11295-010-0295-910.1007/s11295-010-0295-9
  12. Heaman JC, Woods JH (1989) The coastal Douglas-fir breeding program in British Columbia. Breeding Prog. Rev. Rep. Res. Br. Ministry of Forests, Victoria, BC. 42 p.
  13. Henderson CR (1984) Applications of linear models in animal breeding. Canada, University of Guelph, Guelph, Ontario. 439 p.
  14. Johnson GR (1998a) Parental GCA testing: how many crosses per parent. Can J For Res 28:540-545. Available at http://dx.doi.org/10.1139/cjfr-28-4-54010.1139/cjfr-28-4-540
  15. Johnson GR (1998b) Breeding design considerations for coastal Douglas-fir. USDA For. Ser. Gen. Tech. Rep. PNW-GTR-411. 40 p. Available at http://dx.doi.org/10.2737/pnw-gtr-41110.2737/PNW-GTR-411
  16. Kennedy BW, Trus D (1993) Considerations on genetic connectedness between management units under an animal model. J Anim Sci 71:2341-5210.2527/1993.7192341x8407646
  17. Mrode RA (2005) Linear models for the prediction of animal breeding values. CAB International, Wallingford, Oxon OX10 8DE, United Kingdom, 2 edition. 344 p.10.1079/9780851990002.0000
  18. Namkoong G (1979) Introduction to quantitative genetics in forestry. USDA For. Serv. Tech. Bull. 1588. 342 p.
  19. Stoehr MU, Yanchuk AD, Xie CY, Sanchez L (2008) Gain and diversity in advanced generation coastal Douglas-fir selections for seed production populations. Tree Genet Genomes 4:193-200. Available at http://dx.doi.org/10.1007/s11295-007-0100-610.1007/s11295-007-0100-6
  20. Whitacker D, Williams ER, John JA (2002) CycDesigN version 2 software. CSIRO Forestry and Forest Products, Australia. 41 p.
  21. White TL, Hodge GR, Powell GL (1993) Advanced-generation tree improvement plan for slash pine in the southeastern United States. Silvae Genet 42:359–371
  22. White TL, Matheson AC, Cotterill PP, Johnson RG, Rout AF, Boomsma DB (1999) A nucleus breeding plan for radiata pine in Australia. Silvae Genet 48:122-133
  23. White TL, Adams WT, Neale DB (2007) Forest genetics. CABI Publishing. 682 p.10.1079/9781845932855.0000
  24. Ye TZ, Jayawickrama KJS, Johnson GR (2007) Efficiency of including first-generation information in second-generation ranking and selection: results of computer simulation. Tree Genet. Genomes 3:319-328. Available at http://dx.doi.org/10.1007/s11295-006-0071-z10.1007/s11295-006-0071-z
  25. Ye TZ, Jayawickrama KJS (2008) Efficiency of using spatial analysis in firest-generation coastal Douglas-fir progeny tests in the US Pacific Northwest. Tree Genet Genomes 4:677-692. Available at http://dx.doi.org/10.1007/s11295-008-0142-410.1007/s11295-008-0142-4
DOI: https://doi.org/10.1515/sg-2016-0005 | Journal eISSN: 2509-8934 | Journal ISSN: 0037-5349
Language: English
Page range: 38 - 48
Published on: Jun 12, 2017
Published by: Johann Heinrich von Thünen Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2017 Eduardo P. Cappa, Michael U. Stoehr, published by Johann Heinrich von Thünen Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.