[BURDON, R. D. (1989): Early selection in tree breeding: Principles for applying index selection and inferring input parameters. Canadian Journal of Forest Research 19: 499-504.10.1139/x89-076]Search in Google Scholar
[DANJON, F. (1994): Heritabilities and genetic correlations for estimated growth curve parameters in maritime pine. Theor Appl Genet 89: 911-921.10.1007/BF00224517]Search in Google Scholar
[ERICSSON, T. and A. Fries (2004): Genetic analysis of fibre size in a full-sib Pinus sylvestris L. progeny test. Scand. J For Res 19: 7-14.]Search in Google Scholar
[FOSTER, G. and F. BRIDGWATER (1986): Genetic analysis of fifth-year data from a seventeen-parent partial diallel of loblolly pine. Silv. Gen. 35(2-3): 118-122.]Search in Google Scholar
[FOSTER, G. S. (1986): Trends in genetic parameters with stand development and their influence on early selection for volurne growth in loblolly pine. For. Sci. 32: 944-959.]Search in Google Scholar
[FRANKLIN, E. (1979): Model relating levels of genetic variance to stand development of four North American conifers. Silv. Gen. 28(5-6): 207-212.]Search in Google Scholar
[FRIES, A. (2012): Genetic parameters, genetic gain and correlated responses in growth, fibre dimensions and wood density in a Scots pine breeding population. Annals of Forest Science 69: 783-794.10.1007/s13595-012-0202-7]Search in Google Scholar
[FRIES, A. and T. ERICSSON (2006): Estimating genetic parameters for wood density of Scots pine (Pinus sylvestris L.). Silvae Genet 55: 84-92.10.1515/sg-2006-0013]Search in Google Scholar
[FRIES, A. and T. ERICSSON (2009): Genetic parameters for earlywood and latewood densities and development with increasing age in Scots pine. Ann For Sci 66: 404.10.1051/forest/2009019]Search in Google Scholar
[GILMOUR, A. R., B. R. CULLIS, S. J. WELHAM, B. J. GOGEL and R. THOMPSON (2004): An efficient computing strategy for prediction in mixed linear models. Comput. Stat Data An. 44, 571-586.10.1016/S0167-9473(02)00258-X]Search in Google Scholar
[GWAZE, D. P. and F. E. BRIDGWATER (2002): Determining the optimum selection age for diameter and height in Loblolly Pine. Forest genetics 9(2): 159-165.]Search in Google Scholar
[GWAZE, D. P., F. E. BRIDGWATER and T. I. BYRA (2000): Predicting age-age genetic correlations in tree breeding programs: a case study of Pinus taeda L. Theor. Appl. Genet. 100: 199-206.]Search in Google Scholar
[GWAZE, D. P., F. E. BRIDGWATER, T. D. BYRAM and W. J. LOWE (2001): Genetic parameters estimates for growth and wood density in loblolly pine (Pinus taeda L.). For. Gen. 8: 47-55.]Search in Google Scholar
[GWAZE, D. P., F. E. BRIDGWATER and C. G. WILLIAMS (2002): Genetic analysis of growth curves for a woody perennial species, Pinus taeda L. Theor Appl Genet 105: 526-531.10.1007/s00122-002-0892-612582501]Search in Google Scholar
[GWAZE, D. P., J. A. WOOLLIAMS and P. J. KANOWSKI (1998): Optimum selection age for height in Pinus taeda L. in Zimbabwe. Silvae Genetica 46: 358-365.]Search in Google Scholar
[ISIK, F., B. L. LI, J. FRAMPTON and B. GOLDFARB (2004): Efficiency of Seedlings and Rooted Cuttings for Testing and Selection in Pinus taeda. For. Sci. 50(1): 44-53.]Search in Google Scholar
[KUMAR, S. and J. LEE (2002): age-age correlations and early selection for end-of-rotation wood density in radiate pine. Forest genetics 9(4): 323-330.]Search in Google Scholar
[LAMBETH, C. C. (1980): Juvenile-mature correlations in pinaceae and implication for early selection. Forest science 26(4): 571-580.]Search in Google Scholar
[LAMBETH, C. C. and L. A. DILL (2001): Prediction models for juvenile-mature correlations for loblolly pine growth traits within between and across test sites. Forest Genetics 8: 101-108.]Search in Google Scholar
[LAMBETH, C. C., J. P. VAN BUIJTENEN, S. D. DUKE and R. B. MCCULLOUGH (1983): Early selection is effective in 20- year-old genetic tests of loblolly pine. Silvae Genetica 32(5-6): 210-215.]Search in Google Scholar
[LI, L. and H. X. WU (2005): Efficiency of early selection for rotation-aged growth and wood density traits in Pinus radiata. Can. J. For. Res. 35: 2019-2029.]Search in Google Scholar
[LOO, J. A., C. G. TAUER and J. P. VAN BUIJTENEN (1984): Juvenile-mature relationships and heritability estimates of several traits in loblolly pine (Pinus taeda). Can. J. For. Res. 14: 822-825.]Search in Google Scholar
[MAGNUSSEN, S. (1988): Minimum age-to-age correlationsin early selections. Forest Science 34: 928-938. ]Search in Google Scholar
[MCKEAND, S., T. MULLIN, T. BYRAM and T. WHITE (2003): Deployment of genetically improved loblolly and slash pines in the south. J. For. 101(3): 32-37.]Search in Google Scholar
[MORAN, G. F., J. C. BELL and K. G. ELDRIDGE (1998): The genetic structure and the conservation of the five natural- populations of pinus radiate. Can J For Res 18: 506-514.10.1139/x88-074]Search in Google Scholar
[NANCE, W. L. and O. O. WELLES (1981): Estimating volume potential in genetic tests using growth and yield models. In: 16th South. For. Tree Improv. Conf., Blacksburg, VA. 39-46.]Search in Google Scholar
[NANSON, A. (1969): Juvenile and correlated trait selection. In: IUFRO second meeting working group and quantitative genetics. Sect. proc. 22: 17-25.]Search in Google Scholar
[NIKLES, D. G. (1966): Progeny tests of slash pine (pinus elliottii engelm.) in Queensland, Australia. Proc. Of the eighth southern conference on forest tree improvement. Silvae Genetica 112-121.]Search in Google Scholar
[R.2.15.1 (2012): The R Foundation for Statistical Computing, Vienna, Austria.]Search in Google Scholar
[SHELBOURNE, C. J. A. (1996): Studies on the inheritance and relationships of bole straightness and compression wood in southern pine. Unpublished PH.D thesis, Department of forest managemet, north Carolina state university at Raleigh, 1-257.]Search in Google Scholar
[SHELBOURNE, C. J. A., B. J. ZOBEL and R. W. STONECYPHER (1967): The inheritance of compression wood and its genetic and phenotypic correlations with six other traits in five-years-old loblolly pine. Silvae Genetica 43-47.]Search in Google Scholar
[SQUILLACE, A. E. and C. R. GANSEL (1974): Juvenilemature correlations in slash pine. Forest Science 20: 225-229. ]Search in Google Scholar
[STRAM, D. O. and J. W. LEE (1994): Variance component testing in the longitudinal mixed effects model. Biometrics 50(4): 1171-1177.10.2307/2533455]Search in Google Scholar
[SVENSSON, J. C., S. E. MCKEAND, H. L. ALLEN and C. AMPBELLRG (1999): Genetic Variation in Height and Volume of Loblolly Pine Open-Pollinated Families During Canopy Closure. Silvae Genetica 48: 3-4.]Search in Google Scholar
[TALBERT, J. T., J. B. JETT and R. L. BRYANT (1983): Inheritance of wood specific gravity in an unimproved loblolly pine population. Silvae Genetica 32: 33-37.]Search in Google Scholar
[VOGL, C., A. KARHU, G. MORAN and O. SAVOLAINEN (2002): High resolution analysis of mating systems: breeding in natural populations of pinus radiate. J Evol Biol 15: 433-439.10.1046/j.1420-9101.2002.00404.x]Search in Google Scholar
[WILLIAMS, C. G. and R. A. MEGRAW (1994): Juvenilemature relationships for wood density in Pinus taeda. Can. J. For. Res. 24: 714-722.]Search in Google Scholar
[WILLIAMS, C. G. and C. C. LAMBETH (1989): Bole straightness measurement for advanced-generation loblolly pine genetic test. Silvae Genetica 38(5-6): 212-217.]Search in Google Scholar
[WOESSNER, R. A. (1965): Growth, form, and disease resistance in four-year-old control- and five-year-old openpollinated progeny of loblolly pine selected for use in seed orchards. North Carolina state school forestry technical report, 28: 1-67.]Search in Google Scholar
[WU, H. X., M. B. POWELL, J. L. YANG, M. IVKOVIC and T. A. MCRAE (2007): Efficiency of early selection for rotationaged wood quality traits in radiate pine. Ann. For. Sci. 64: 1-9.]Search in Google Scholar
[XIANG, B., B. L. LI and S. MCKEAND (2003): Genetic gain and selection efficiency of Loblolly Pine in three geographic regions. For. Sci. 49(2): 19-208.]Search in Google Scholar
[ZHONG, W. H., B. Q. CHENG and Z. H. HE (1995): Ronguing in Seed Orchard of Loblolly Pine. In: Shen Xihuan ed. Forest Tree Improvement in the Asia-pacific Region[M]. Beijing: China Forestry Publishing House, 208-216. ZOBEL, B. (1961): Inheritance of wood properties in conifers. Silvae Genetica 10(3): 65-70.]Search in Google Scholar
[ZOBEL, B. and J. P. VAN BUIJTENEN (1989): Wood variation: its causes and control. Springer-Verlag, New York.10.1007/978-3-642-74069-5]Search in Google Scholar