Correspondence between single-tree and multiple-tree plot genetic tests for production traits in Pinus sylvestris

Canadian Journal of Forest Research

Volumn 28, Issue 3, 1998, Pages 450-458

  Jansson, Gunnar ^a   Danell, Öje ^b   Stener, Lars Göran ^a  

^a THE FORESTRY RESEARCH INSTITUTE OF SWEDEN   (Sweden)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC CORRELATION; GENETIC SELECTION; GENETIC TRAIT; PLANT BREEDING; PLANT HEIGHT;

ALGORITHMS; CORRELATION METHODS; GENETIC ENGINEERING; PLANTS (BOTANY); STATISTICAL TESTS;

EXPECTATION MINIMIZATION ALGORITHM; MAXIMUM LIKELIHOOD METHODOLOGY; PINUS SYLVESTRIS;

FORESTRY;

PINUS SYLVESTRIS;

EID: 0032030414     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/x98-004     Document Type: Article

References (23)

1. Andersson, S.-O. 1954. Funktioner och tabeller för kubering av småträd. [In Swedish.] Medd. Statens Skogsforskningsinst. No. 44:12.
2. Baskerville, G.L. 1972. Use of logarithmic regression in the estimation of plant biomass. Can. J. For. Res. 2: 49-53.
3. Cannell, M.G.R. 1982. 'Crop' and 'isolation' ideotypes: evidence for progeny differences in nursery-grown Picea sitchensis. Silvae Genet. 31: 60-66.
4. Cornelius, J. 1994. Heritabilities and additive coefficients of variation of forest trees. Can. J. For. Res. 24: 372-379.
5. Dempster, A.P., Laird, N.M., and Rubin, D.B. 1977. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B, 39: 1-22.
6. Falconer, D.S. 1989. Introduction to quantitative genetics. 3rd ed. Longman, London.
7. Foster, G.S. 1989. Inter-genotypic competition in forest trees and its impact on realized gain from family selection. Proc. South. For. Tree Improv. Conf. 20: 21-35.
8. Franklin, E.C. 1979. Model relating levels of genetic variance to stand development of four North American conifers. Silvae Genet. 28: 207-212.
9. Gallais, A. 1976. Effects of competition on means, variances and covariances in quantitative genetics with an application to general combining ability selection. Theor. Appl. Genet. 47: 189-195.
10. Gladstone, W.T., Bean, P.M., Hughes, J.H., and Talbert, C.B. 1987. A challenge for tree improvement. Proc. South, For. Tree Improv. Conf. 19: 1-7.
11. Gullberg, U., and Vegerfors, B. 1987. Genotype-environment interaction in Swedish material of Pinus sylvestris. Scand. J. For. Res. 2: 417-432.
12. Haapanen, M. 1996. Impact of family-by-trial interaction on utility of progeny testing methods for Scots pine. Silvae Genet. 45: 130-135.
13. Henderson, C.R. 1975. Best linear unbiased estimation and prediction under a selection model. Biometrics, 31: 423-447.
14. Henderson, C.R. 1984. Applications of linear models in animal breeding. University of Guelph, Guelph, Ont.
15. Hodge, G.R., and White, T.L. 1992. Genetic parameter estimates for growth traits at different ages in slash pine and some implications for breeding. Silvae Genet 41: 252-262.
16. Magnussen, S. 1987. Early testing of jack pine. I. Phenotypic response to spacing. Can. J. For. Res. 17: 453-459.
17. Marklund, E. 1981. A production prognosis formed from the basis of older provenance trials of Scots pine. [In Swedish with English summary.] Skogsvårdsförb. Tidskr. 5: 9-14.
18. Namkoong, G., and Concle, M.T. 1976. Time trends in genetic control of height growth in ponderosa pine. For. Sci. 22: 2-12.
19. Näslund, M. 1947. Funktioner och tabeller för kubering av stående skog. Tall, gran och björk i södra Sverige samt i hela landet, [In Swedish.] Medd. Statens Skogsforskningsinst. 36:3.
20. Patterson, H.D., and Thompson, R. 1971. Recovery of inter-block information when block sizes are unequal. Biometrika, 58: 545-554.
21. Schaeffer, L.R., Wilton, J.W., and Thompson, R. 1978. Simultaneous estimation of variance and covariance components from multitrait mixed model equations. Biometrics, 34: 199-208.
22. St Clair, J.B., and Adams, W.T. 1991. Relative family performance and variance structure of open-pollinated Douglas-fir seedlings grown in three competitive environments. Theor. Appl. Genet. 81: 541-550.
23. von Euler, F. 1993. Plot design effects on phenotypic variability and dynamics of field competition between six Pinus sylvestris L. varieties. Scand. J. For. Res. 8: 163-173.