References
- ANEKONDA, T. S. and W. J. LIBBY (1996): Effectiveness of nearest neighbor data adjustment in a clonal test of Redwood. Silvae Genet. 45(1): 46-51.
- CANTET, R. J. C., A. N. BIRCHMEIER, A. W. CANAZA CAYO and C. FIORETT (2005): Semiparametric animal models via penalized splines as alternatives to models with contemporary groups. J. Anim. Sci. 83: 2482-2494.
- CAPPA, E. P. and R. J. C. CANTET (2007): Bayesian estimation of a surface to account for a spatial trend using penalized splines in an individual-tree mixed model. Can. J. For. Res. 37: 2677-2688.
- CAPPA, E.P., A. D. YANCHUK and C. V. CARTWRIGHT (2012): Bayesian inference for multi-environment spatial individual-tree models with additive and full-sib family genetic effects for large forest genetic trials. Annals of Forest Science 69: 627-640. DOI: 10.1007/s13595-011-0179-7.
- COSTA E SILVA, J., G. W. DUTKOWSKI and A. R. GILMOUR (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.
- DE BOOR, C. (1993): B(asic)-spline basics. Fundamental Developments of Computer-Aided Geometric Modeling. L. Piegl, ed. Academic Press, San Diego, CA.
- DURBAN, M., I. CURRIE and R. KEMPTON (2001): Adjusting for fertility and competition in variety trials. J. Agric. Sci. (Camb.) 136: 129-140.
- DUTKOWSKI, G. W., J. COSTA E SILVA, A. R. GILMOUR and G. A. LOPEZ (2002): Spatial analysis methods for forest genetic trials. Can. J. For. Res. 32: 2201-2214.
- DUTKOWSKI, G. W., J. COSTA E SILVA, A. R. GILMOUR, H. WELLENDORF and A. AGUIAR (2006): Spatial analysis enhances modeling of a wide variety of traits in forest genetic trials. Can. J. For. Res. 36: 1851-1870.
- FINLEY, A. O., S. BANERJEE, P. WALDMANN and T. ERICSSON (2009): Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial data sets. Biometrics 65: 441-451.
- FOSTER, G. S. and D. T. LESTER (1983): Fifth-year height variation in western hemlock open pollinated families growing on four test sites. Can. J. For. Res. 13: 251-256.
- FU, Y. B., A. D. YANCHUK and G. NAMKOONG (1999): Spatial patterns of tree height variations in a series of Douglas-fir progeny trials: implications for genetic testing. Can. J. For. Res. 29: 714-723.
- FU, Y. B., G. P. Y. CLARKE, G. NAMKOONG and A. D. YANCHUK (1998): Incomplete block designs for genetic testing: statistical efficiencies of estimating family means. Can. J. For. Res. 28: 977-986.
- GILMOUR, A. R., B. J. GOGEL, B. R. CULLIS and R. THOMPSON (2006): ASReml User Guide Release 2.0 VSN International Ltd, Hemel Hempstead, HP1 1ES, UK.
- GREEN, P. J. and B. W. SILVERMAN (1994): Nonparametric Regression and Generalized Linear Model. Chapman & Hall, London, UK.
- GRONDONA, M. O., J. CROSSA, P. N. FOX and W. H. PFEIFFER (1996): Analysis of variety yield trials using 2-dimensional separable ARIMA processes. Biometrics 52: 763-770.
- HAMANN, A., M. KOSHY and G. NAMKOONG (2002): Improving precision of breeding values by removing spatially autocorrelated variation in forestry field experiments. Silvae Genet. 51: 210-215.
- HARVILLE, D. A. (1997): Matrix algebra from a statistician’s perspective. Springer-Verlag. New York.
- HENDERSON, C. R. (1984): Applications of Linear Models in Animal Breeding. Canada, University of Guelph, Guelph, Ont.
- HYNDMAN, R. J., M. L. KING, I. PITRUN and B. BILLAH (2005): Local lineal forecasts using cubic smoothing splines. Aust. N. Z. J. Stat. 47: 87-99.
- JAYAWICKRAMA, K. J. S. (2003): Genetic improvement and deployment of western hemlock in Oregon and Washington: Review and Future Prospects. Silvae Genet. 52(1): 26-36.
- JOYCE, D., R. FORD and Y. B. FU (2002): Spatial patterns of tree height variations in a black spruce farm-field progeny test and neighbors-adjusted estimations of genetic parameters. Silvae Genet. 51: 13-18.
- KING, J. N. (1990): The significance of geographic variation patterns for western hemlock genetic improvement. Technical Report, B.C. Ministry of Forests Research Branch, 12 p.
- KUSER, J. E. and K. K. CHING (1981): Provenance variation in seed weight, cotyledon number, and growth rate of western hemlock seedlings. Forest Science, 26: 463-470.
- KUSER, J. E. and K. K. CHING (1981): Provenance variation in seed weight, cotyledon number, and growth rate of western hemlock seedlings. Can. J. For. Res. 11: 662-670.
- KUSNANDAR, D. and N. GALWEY (2000): A proposed method for estimation of genetic parameters on forest trees without raising progeny: critical evaluation and refinement. Silvae Genet. 49: 15-21.
- MAGNUSSEN, S. (1993): Bias in genetic variance estimates due to spatial autocorrelation. Theor. Appl. Genet. 86: 349-355.
- MAGNUSSEN , S. (1994): A method to adjust simultaneously for statial microsite and competition effects. Can. J. For. Res. 24: 985-995.
- POJAR, J. and A. MACKINNON (1994): Plants of the Pacific Northwest Coast, Washington, Oregon, British Columbia & Alaska. Lone Pine Publishing, Vancouver, British Columbia.
- POLLARD, D. F. W. and F. T. PORTLOCK (1986): Intraspecific variation in stem growth of western hemlock. Can. J. For. Res. 16: 149-151.
- R DEVELOPMENT CORE TEAM (2011): R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
- RUPPERT, D., M. P. WAND and R. J. CARROLL (2003): Semiparametric Regression. Cambridge Univ. Press, Cambridge, UK.
- SAENZ-ROMERO, C., E. V. NORDHEIM, R. P. GURIES and P. M. CRUMP (2001): A Case Study of a Provenance/ Progeny Test Using Trend Analysis with Correlated Errors and SAS PROC MIXED. Silvae Genet. 50: 127-135.
- SCHUTZ, W. M. and C. C. COCKERHAM (1966): The Effect of Field Blocking on Gain from Selection. Biometrics 22(4): 843-863.
- SILVERMAN, B. (1986): Density Estimation for Statistics and Data Analysis, Chapman and Hall, London. SMITH, B. J. (2003): Bayesian Output Analysis Program (BOA) version 1.0 user’s manual. Available from http://www.public-health.uiowa.edu/boa/Home.html.
- SPIEGELHALTER, D. J., N. G. BEST, B. P. CARLIN and A. VAN DER LINDE (2002): Bayesian measures of model complexity and fit (with discussion). Journal of the Royal Statistical Society Series B 64: 583-639.
- WALDMANN, P., J. HALLANDER, F. HOTI and M. J. SILLANPÄÄ (2008): Efficient MCMC implementation of Bayesian analysis of additive and dominance genetic variances in non-inbred pedigrees. Genetics 179: 1101-1112.
- WEBBER, J. E. (2000): Western hemlock: a manual for tree improvement seed production. Res. Br., B. C. Min. For., Victoria, B.C.Work Pap. 44/2000.
- WHITE, T. L. (1996): Genetic parameter estimates and breeding value predictions: issues and implications in tree improvement programs. In: DIETERS, M. J., MATHESON, A. C., NIKLES, D. G., HARWOOD, C. E., WALKER, S. M. (eds) Proceedings of the QFRI-IUFRO Conference Tree Improvement for Sustainable Tropical Forestry. Caloundra, Queensland, Australia, pp 110-117.
- WILLIAMS, E. R. and A. C. MATHESON (1994): Experimental Design and Analysis for use in Tree Improvement. CSIRO, Melbourne, Australia.
- WU, H. X. and A. C. MATHESON (2004): General and specific combining ability from artial diallels of radiata pine: implications for utility of SCA in breeding and deployment populations. Theor. Appl. Genet. 108: 1503-1512.
- YANCHUK, A. (1996): General and specific combining ability from disconnected partial diallels of coastal Douglas-fir. Silvae Genet. 45: 37-45.
- YE, T. Z. and K. J. S. JAYAWICKRAMA (2008): Efficiency of using spatial analysis in firest-generation coastal Douglas-fir progeny tests in the US Pacific Northwest. Tree Genetics and Genomes 4: 677-692.
- ZAS, R. (2006): Iterative kriging for removing spatial autocorrelation in analysis of forest genetic trials. Tree Genetics and Genomes 2: 177-185.
- ZHELEV, P., I. EKBERG, G. ERIKSSON and L. NORELL (2003): Genotype environment interactions in four full-sib progeny trials of Pinus sylvestris (L.) with varying site indices. Forest Genetics 10: 93-102.