Determining the optimum selection age for diameter and height in loblolly pine

Forest Genetics

Volumn 9, Issue 2, 2002, Pages 159-165

  Gwaze, David P ^a   Bridgwater, Floyd E ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Early selection; Genetic correlation; Optimisation; Phenotypic correlation; Pinus taeda

Indexed keywords

EMBRYOPHYTA; PINUS TAEDA;

EID: 0037001431     PISSN: 1335048X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. BALOCCHI, C. E., BRIDGWATER, F. E. & BRYANT, R. 1993a: Selection efficiency in a nonselected population of loblolly pine. For. Sci. 40: 452-473.
2. BALOCCHI, C. E., BRIDGWATER, F. E., ZOBEL, B. J. & JAHROMI, S. 1993b: Age trends in genetic parameters for tree height in a nonselected population of loblolly pine. For. Sci. 39: 231-251.
3. BRAMLETT, D. L., WILLIAMS, C. G. & BURRIS, L. C. 1995: Surrogate pollen induction shortens the breeding cycle in loblolly pine. Tree Physiology 15: 531-535.
4. BRIDGWATER, F. E., TALBERT, J. T. & JAHROMI, S. 1983: Index selection for increased dry weight in a young loblolly pine population. Silvae Genetica 32: 157-161.
5. BURDON, R. D., BANNISTER, M. H. & LOW, C. B. 1992: Genetic survey of Pinus radiata. 5: between-trait and age-age correlations for growth rate, mophology, and disease resistance. N. Z. J. For. Sci. 22: 211-227.
6. FALCONER, D. S. 1989: Introduction to Quantitative Genetics. 3rd edition. Longman, London. 438 pp.
7. FOSTER, G. S. 1986: Trends in genetic parameters with stand development and their influence on early selection for volume growth in loblolly pine. For. Sci. 32: 944-959.
8. GILMOUR, A. R. 1996: ASREML, A Spatial REML program. NSW Agriculture, Orange, NSW, Australia (Mimeo), 54 pp.
9. GWAZE, D. P., WOOLLIAMS, J. A. & KANOWSKI, P. J. 1997a: Optimum selection age for height in Pinus taeda L. in Zimbabwe. Silvae Genetica 46: 358-365.
10. GWAZE, D. P., WOOLLIAMS, J. A. & KANOWSKI, P. J. 1997b: Genetic parameters for height and stem straightness in Pinus taeda L. in Zimbabwe. Forest Genetics 4: 159-169.
11. GWAZE, D. P., BRIDGWATER, F. E., BYRAM, T., WOOLLIAMS, J. A. & WILLIAMS, C. G. 2000: Predicting age-age genetic correlations in tree breeding programs: a case study of Pinus taeda L. Theor. Appl. Genet. 100: 199-206.
12. HAGEDORN, S. F. 1994: Results of a Pinus taeda progeny/provenance type trial in Natal, South Africa. S. A. For. J. 170: 17-25.
13. JOHNSON, G. R., SNIEZKO, R. A. & MANDEL, N. L. 1997: Age trends in douglas-fir genetic parameters and implications for optimum selection age. Silvae Genetica 46: 349-358.
14. KING, J. N. & 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.
15. LAMBETH, C. C. 1980: Juvenile-mature correlations in Pinaceae and implications for early selection. Forest Science 26: 571-580.
16. LAMBETH, C. & DILL, L. A. 2001: Prediction models for juvenile-mature correlations for loblolly pine growth traits within, between and across test sites. Forest Genetics 8: 101-108.
17. LAMBETH, C., VAN BUIJTENEN, J. P., MCCOLLOUGH, R. B. & DUKE, S. D. 1983: Early selection is effective in 20-year-old genetic tests of loblolly pine. Silvae Genetica 32: 210-215.
18. LI, B., MCKEAND, S. E. & WEIR, R. J. 1996: Genetic parameter estimates and selection efficiency for the loblolly pine breeding in the south-eastern USA. In Tree Improvement for Sustainable Tropical Forestry, Dieters, M. J., Matheson, A. C., Nikles, D. G., Harwood, C. E. and Walker, S. M. (eds.). pp. 164-168. Proc. QFRI - IUFRO Conf., Caloundra, Queensland, Australia, 27 October-1 November 1996.
19. MATHESON, A. C., SPENCER, D. J. & MAGNUSSEN, D. 1994: Optimum age for selection in Pinus radiata using basal area under bark for age-age correlations. Silvae Genetica 43: 352-357.
20. MCKEAND, S. E. 1988: Optimum age for family selection for growth in genetic tests of loblolly pine. For. Sci. 34: 400-411.
21. WHITE, T. L. & HODGE, G. R. 1992: Test designs and optimum age for parental selection in advanced-generation progeny tests of slash pine. Silvae Genetica 41: 293-302.
22. ZOBEL, B. & TALBERT, J. 1984: Applied Forest Tree Improvement. John Wiley & Sons, New York.