Determination of relative economic weights for multitrait selection in coastal Douglas-fir

Canadian Journal of Forest Research

Volumn 28, Issue 8, 1998, Pages 1164-1170

  Aubry, Carol A ^a   Adams, W T ^b   Fahey, Thomas D ^c  

^a USDA FOREST SERVICE   (United States)

^b OREGON STATE UNIVERSITY   (United States)

^c PACIFIC NORTHWEST RESEARCH STATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY (SPECIFIC GRAVITY); DENSITY MEASUREMENT (SPECIFIC GRAVITY); ECONOMICS; ESTIMATION; LUMBER; PLANTS (BOTANY); PRODUCTION; REGRESSION ANALYSIS; RESOURCE VALUATION; SAWMILLS; VOLUME MEASUREMENT;

ECONOMIC WEIGHTS; MULTITRAIT SELECTION; SELECTION INDICES; X RAY DENSITOMETRY;

FORESTRY;

CONIFEROUS TREE; ECONOMIC ANALYSIS; FORESTRY PRODUCTION; LIFE HISTORY TRAIT; SELECTION;

PSEUDOTSUGA MENZIESII;

EID: 0032147399     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/x98-084     Document Type: Article

References (43)

1. Aubry, C.A. 1992. Multi-trait selection in coastal Douglas-fir. Ph.D. thesis, Oregon State University, Corvallis, Oreg.
2. Baker, R.J. 1986. Selection indices in plant breeding. CRC Press, Inc., Boca Raton, Fla.
3. Barbour, R.J., and Kellogg, R.M. 1990. Forest management and end-product quality: a Canadian perspective. Can. J. For. Res. 20: 405-414.
4. Bridgwater, F.E., and Stonecypher, R.W. 1979. Index selection for volume and straightness in a loblolly pine population. Proc. South. For. Tree Improve. Conf. 15: 132-138.
5. Bridgwater, F.E., Talbert, J.T., and Jahromi, S. 1983. Index selection for increased dry weight in a young loblolly pine population. Silvae Genet. 32: 157-161.
6. Briggs, D.G., and Fight, R.D. 1992. Assessing the effects of silvicultural practices on product quality and value of coast Douglas-fir trees. For. Prod. J. 42: 40-46.
7. Bruce, D. 1982. Butt log volume estimators. For. Sci. 28: 489-503.
8. Chollet, F., and Roman-Amat, B. 1987. Determination of economic coefficients for multi-trait selection on maritime pine. In Proceedings of a Conference on Breeding Theory/Progeny Testing/Seed Orchards, 13-17 Oct. 1986, Williamsburg, Va. IUFRO/North Carolina State University, Raleigh, N.C. pp. 567-582.
9. Christophe, C., and Birot, Y. 1983. Genetic structures and expected genetic gains from multitrait selection in wild populations of Douglas-fir and Sitka spruce. II. Practical application of index selection on several populations. Silvae Genet. 32: 173-181.
10. Cotterill, P.P., and Jackson, N. 1985. On index selection. I. Methods of determining economic weight. Silvae Genet. 34: 56-63.
11. Dean, C.A., Cotterill, P.P., and Cameron, J.N. 1983. Genetic parameters and gains expected from multiple trait selection of radiata pine in eastern Victoria. Aust. For. Res. 13: 271-278.
12. Dean, C.A., Cotterill, P.P., and Eisemann, R.L. 1986. Genetic parameters and gains expected from selection in Pinus caribaea var. hondurensis in Northern Queensland, Australia. Silvae Genet. 35: 229-236.
13. Desch, H.E., and Dinwoodie, J.M. 1981. Timber, its structure, properties and utilization. Timber Press, Forest Grove, Oreg.
14. Ernst, S., and Fahey, T.D. 1986. Changes in product recovery of Douglas-fir from old growth to young growth. In Proceedings of a Symposium, Douglas-fir: Stand Management for the Future, 18-20 June 1985, Seattle, Wash. Edited by C.D. Oliver, D.P. Hanley, and J.A. Johnson. College of Forest Resources, University of Washington, Seattle, Wash. pp. 103-107.
15. Fahey, T.D., Cahill, J.M., Snellgrove, T.A., and Heath, L.S. 1991. Lumber and veneer recovery from intensively managed young-growth Douglas-fir. U.S. For. Serv. Res. Pap. PNW-RP-437.
16. Galligan, W.L., Snodgrass, D.V., and Crow, G.W. 1977. Machine stress rating: practical concerns for lumber producers. U.S. For. Serv. Gen. Tech. Rep. FLP-7.
17. Gonzalez, J.S., and Richards, J. 1988. Early selection for wood density in young coastal Douglas-fir trees. Can. J. For. Res. 18: 1182-1185.
18. Grant, D.J., Anton, A., and Lind, P. 1984. Bending strength, stiffness, and stress-grade of structural Pinus radiata: effect of knots and timber density. N.Z. J. For. Sci. 14: 331-348.
19. Haynes, R.W., and Fight, R.D. 1992. Price projections for selected grades of Douglas-fir lumber, coast hem-fir, inland hem-fir, and ponderosa pine lumber. U.S. For. Serv. Res. Pap. PNW-RP-447.
20. Haynes, R.W., Fahey, T.D., and Fight, R.D. 1988. Price projections for selected grades of Douglas-fir lumber. U.S. For. Serv. Res. Note PNW-RN-473.
21. Hazel, L.N. 1943. The genetic basis for constructing selection indices. Genetics, 28: 476-490.
22. Hazel, L.N., and Lush, J.L. 1943. The efficiency of three methods of selection. J. Hered. 33: 393-399.
23. Hoag, M., and McKimmy, M.D. 1988. Direct scanning X-ray densitometry of thin wood sections. For. Prod. J. 38: 23-26.
24. Kellison, R.C., Deal, E., and Pearson, R.H. 1985. More plantation wood means quality problems. For. Ind. 9: 24-26.
25. Kellogg, R.M. 1982. Coming to grips with wood quality. For. Chron. 12: 254-257.
26. Kellogg, R.M., and Kennedy, R.W. 1986. Implications of Douglasfir wood quality relative to practical end use. In Proceedings of a Symposium, Douglas-fir: Stand Management for the Future, 18-20 June 1985, Seattle, Wash. Edited by C.D. Oliver, D.P. Hanley, and J.A. Johnson. College of Forest Resources, University of Washington, Seattle, Wash. pp. 103-107.
27. Kellogg, R.M., and Warren, W.G. 1984. Evaluating western hemlock stem characteristics in terms of lumber value. Wood Fiber Sci. 16: 583-597.
28. King, J.N., Yey, F.C., Heaman, J.C., and Dancik, B.P. 1988. Selection of wood density and diameter in controlled crosses of coastal Douglas-fir. Silvae Genet. 37: 152-157.
29. Larsen, D.N., and Bearden, D.A. 1989. 1986 Washington mill survey. Ser. Rep. No. 10, Washington State Department of Resources, Olympia, Wash.
30. Lin, C.Y. 1978. Index selection for genetic improvement of quantitative characters. Theor. Appl. Genet. 52: 49-56.
31. Megraw, R.A. 1985. Wood quality factors in loblolly pine. Tappi Press, Atlanta, Ga.
32. Meyer, H.A. 1953. Forest mensuration. Pennsylvania State College, State College, Pa.
33. Middleton, G.R., Munro, B.D., and Wright, D.M. 1985. Evaluating Douglas-fir tree quality in the British Columbia interior. Spec. Publ. No. SP 19. Forintek Canada Corp., Vancouver, B.C.
34. Neter, J., Wasserman. W., and Kutner, M.H. 1983. Applied linear regression models. Richard D. Irwin, Inc., Homewood, Ill.
35. Oswald, D.D., Hegyi, F., and Becker, A. 1986. The current status of coast Douglas-fir timber resources in Oregon. Washington, and British Columbia. In Proceedings of a Symposium, Douglas-fir: Stand Management for the Future, 18-20 June 1985, Seattle, Wash. Edited by C.D. Oliver, D.P. Hanley, and J.A. Johnson. College of Forest Resources, University of Washington, Seattle, Wash. pp. 103-107.
36. Smith, H.F. 1936. A discriminant function for plant selection. Ann. Eugen. (Lond), 7: 240-250.
37. Sokal, R.R., and Rohlf, F.J. 1981. Biometery. W.H. Freeman and Co., New York.
38. Talbert, C.B. 1984.An analysis of several approaches to multiple-trait index selection in loblolly pine (Pinus taeda L.). Ph.D. thesis, North Carolina State University, Raleigh, N.C.
39. USDA. 1987. Wood handbook: wood as an engineering material. U.S. Dep. Agric. Agric. Handb. 72.
40. Vargas-Hernandez, J., and Adams, W.T. 1991. Genetic variation of wood density components in young coastal Douglas-fir: implications for tree breeding. Can. J. For. Res. 21: 1801-1807.
41. Western Wood Products Association. 1988. Standard grading rules for western lumber. Western Wood Products Association, Portland, Oreg.
42. Western Wood Products Association. 1989. Coast FOB price summary. Western Wood Products Association. Portland, Oreg.
43. Zobel, B.J., and Talbert, J. 1984. Applied forest tree improvement. John Wiley & Sons, Inc., New York.