1. bookVolume 56 (2007): Issue 1-6 (December 2007)
Journal Details
License
Format
Journal
eISSN
2509-8934
First Published
22 Feb 2016
Publication timeframe
1 time per year
Languages
English
access type Open Access

Age-related Trends in Genetic Parameters for Jack Pine and Their Implications for Early Selection

Published Online: 14 Oct 2017
Volume & Issue: Volume 56 (2007) - Issue 1-6 (December 2007)
Page range: 242 - 252
Received: 20 Jun 2006
Journal Details
License
Format
Journal
eISSN
2509-8934
First Published
22 Feb 2016
Publication timeframe
1 time per year
Languages
English
Abstract

Trends in genetic parameters for height growth of jack pine (Pinus banksiana Lamb.) were examined over three series of family tests throughout New Brunswick. Data were analyzed for each site and across sites within each series. Although individual narrow sense heritability estimates from single-site analyses varied substantially from site to site and showed no consistent age-related pattern, the estimates from across-site analyses showed an increasing trend to age 20. Similar as individual narrow sense heritability, the coefficient of additive genetic variance estimated from single site showed more variation than those estimated from across site analyses. Age-age (type-a) genetic correlations for height were high and could be well predicted by a LAR2 model, where LAR is the natural logarithm of the ratio between two ages at assessment. Type-b genetic correlations were high and of similar magnitude at different ages. Genetic correlations between height at different ages and volume at one-half rotation age were generally high. Taking the volume at one-half rotation age as the target trait, the selection for target trait from early selection at ages 5~7 could be more efficient per year than direct selection.

Keywords

BALOCCHI, C., F. BRIDGWATER, B. ZOBEL and S. JAHROMI (1993): Age trends in genetic parameters for tree height in a nonselected population of loblolly pine. Forest Science 39: 231-251.Search in Google Scholar

BOLDMAN, K. G., L. A. KRIESE, L. D. VAN VLECK, C. P. VAN TASSELL and S. D. KACHMAN (1995): A manual for use MTDFReml. A set of programs to obtain estimates of variances and covariances. U.S. Department of Agriculture, Agriculturical Research ServiceSearch in Google Scholar

BURDON, R. D. (1977): Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genetica 26: 168-175.Search in Google Scholar

CARTER, K. K., G. W. ADAMS, M. S. GREENWOOD, and P. NITSCHKE (1990): Early family selection in jack pine. Canadian Journal of Forest Research 20: 285-291.10.1139/x90-042Open DOISearch in Google Scholar

COSTA, P. and C. E. DUREL (1996): Time trends in genetic control over height and diameter in maritime pine. Canadian Journal of Forest Research 26: 1209-1217.10.1139/x26-135Open DOISearch in Google Scholar

COTTERILL, P. P. and C. A. DEAN (1988): Changes in the genetic control over height and diameter in maritime pine. Canadian Journal of Forest Research 26: 1209-1217.Search in Google Scholar

COTTERILL, P. P. and C. A. DEAN (1990): Successful tree breeding with index selection. Victoria, Australia: CSIRO, Division of Forestry and Forest Products.Search in Google Scholar

DIETERS, M. J., T. L. WHITE, R. C. LITTELL and G. R. HODGE (1995): Application of appropriate variances of variance components and their ratios in genetic tests. Theoretical and Applied Genetics 91: 15-24.10.1007/BF0022085324169662Search in Google Scholar

FALCONER, D. S. and T. F. C. MACKAY (1996): Introduction to quantitative genetics. Longman Group Ltd., London, UK.Search in Google Scholar

FOSTER, G. S. (1986): Trends in genetic parameters with stand development and their influence on early selection for volume growth in loblolly pine. Forest Science 32: 944-959Search in Google Scholar

FOSTER, G. S. (1989): Inter-genotypic competition in forest trees and its impact on realized genetic gain from family selection. P. 21-35. In: Proc. Of the 20th Southern Forest Tree Improvement Conference.Search in Google Scholar

FOWLER, D. P. (1986): Strategies for the genetic improvement of important tree species in the Maritimes. Natural Resources Canada, Canadian Forest Service - Atlantic Forestry Centre, Information Report M-X-156.Search in Google Scholar

FOWLER, D. P. and H. G. MACGILLIVRAY (1967): Seed zones for the Maritimes provinces. Environ. Canada, Canadian Forest Service, Maritime Forest Research Centre, Information Report M-X-137.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: 159-165.Search in Google Scholar

GWAZE, D. P., F. E. BRIDGWATER, T. D. BYRAM, J. A. WOOLLIAMS and C. G. WILLIAMS (2000): Predicting age-age genetic correlations in tree-breeding programs: a case study of Pinus taeda L. Theoretical and Applied Genetics 100: 199-206.10.1007/s001220050027Open DOISearch 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

HAAPANEN, M. (2001): Time trends in genetic parameter estimates and selection efficiency for Scots pine in relation to field testing method. Forest Genetics 8: 129-144.Search in Google Scholar

HODGE, G. R. and T. L. WHITE (1992): Genetic parameter estimates for growth traits at different ages in slash pine and some implications for breeding. Silvae Genetica 41: 252-262.Search in Google Scholar

HONER, T. G., M. F. KER and I. S. ALEMDAG (1983): Metric Timber Tables for the Commercial Tree Species of Central and Eastern Canada. Natural Resources Canada, Canadian Forest Service - Atlantic Forestry Centre, Fredericton, New Brunswick, Information Report M-X-140.Search in Google Scholar

JANSSON, G., A. JONSSON and G. ERIKSSON (1998): Efficiency of early testing in Pinus sylvestris L. grown under two different spacings in growth chamber. Silvae Genetica 47: 298-306.Search in Google Scholar

JANSSON, G., B. LI and B. HANNRUP (2003): Time trends in genetic parameters for height and optimum age for parental selection in Scots pine. Forest Science 49: 696-705.Search in Google Scholar

JOHNSON, G. R., R. A. SNIEZKO and N. L. MANDEL (1997): Age trends in Douglas-fir genetic parameters and implications for optimum selection age. Silvae Genetica 46: 349-358.Search in Google Scholar

KLEIN, J. I. (1995): Multiple-trait combined selection in jack pine family test plantations using best linear prediction. Silvae Genetica 44: 362-375.Search in Google Scholar

KUSNANDAR, D., N. W. GALWEY, G. L. HERTZLER and T. B. BUTCHER (1998): Age trends in variances and heritabilities for diameter and height in maritime pine (Pinus pinaster) in western Australia. Silvae Genetica 47: 136-141.Search in Google Scholar

LAMBETH, C. C. (1980): Juvenile-mature correlations in Pinaceae and implications for early selection. Forest Science 26: 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

LITTELL, R. C., G. A. MILLIKEN, W. W. STROUP and R. D. WOLFINGER (1996): SAS system for mixed models. SAS Institute Inc. Cary, NC, USA.Search in Google Scholar

LOPEZ-UPTON, J., T. L. WHITE and D. A. HUBER (1999): Effects of site and intensive culture on family differences in early growth and rust incidence of loblolly and slash pine. Silvae Genetica 48: 284-292.Search in Google Scholar

MAGNUSSEN, S. and C. T. KEITH (1990): Genetic improvement of volume and wood properties of jack pine: selection strategies. The Forestry Chronicle 6: 281-286.10.5558/tfc66281-3Open DOISearch in Google Scholar

MAGNUSSEN S. and C. W. YEATMAN (1989a): Predictions of genetic gains from various selection methods in open pollinated Pinus banksiana progeny sites. Silvae Genetica 39: 140-153.Search in Google Scholar

MAGNUSSEN, S. and C. W. YEATMAN (1989b): Height growth components in inter- and intra-provenance jack pine families. Canadian Journal of Forest Research 19: 962-972.10.1139/x89-148Open DOISearch in Google Scholar

McKEAND, S. E. (1988): Optimum age for family selection for growth in genetics tests of Loblolly pine. Forest Science 34: 400-411.Search in Google Scholar

NAMKOONG, G. and M. T. CONCLE (1976): Time trends in genetic control of height growth in ponderosa pine. Forest Science 22: 2-12.Search in Google Scholar

PARKER, W. H. and A. VAN NIEJENHUIS (1996): Seed zone delineation for jack pine in the former northwest region of Ontario using short-term testing and geographic information systems. NODA-NFP-Technical-Report. Natural Resources Canada, Canadian Forest Service - Great Lakes Forestry Centre; Sault Ste. Marie, Ontario; Canada.Search in Google Scholar

RIEMENSCHNEIDER, D. E. (1988): Heritability, age-age correlations, and inference regarding juvenile selection in jack pine. Forest Science 34: 1076-1082.Search in Google Scholar

STONECYPHER, R. W. (1992): Computational methods. Pages 195 to 201 in Handbook of quantitative forest genetics, edited by FINS, L., S. T. FRIEDMAN and J. V. BROTSCHOL (1992). Kluwer Academic Publishers, Dordrecht, The Netherlands.Search in Google Scholar

SVENSSON, J. C., S. E. MCKEAND, H. L. ALLEN and R. G. CAMPBELL (1999): Genetic variation in height and volume of loblolly pine open-pollinated families during canopy closure. Silvae Genetica 48: 204-208.Search in Google Scholar

VAN NIEJENHUIS, A. and W. H. PARKER (1996): Adaptive variation of jack pine from north central Ontario determined by short-term common garden tests. Canadian Journal of Forest Research 26: 2006-2014.10.1139/x26-226Open DOISearch in Google Scholar

WHITE, T. L. and G. R. HODGE (1989): Predicting breeding values with applications in forest tree improvement. Kluwer Academic Publishers, Dordrecht, the Netherlands.10.1007/978-94-015-7833-2Search in Google Scholar

XIE, C.-Y. and A. D. YANCHUK (2002): Genetic parameters of height and diameter of interior spruce in British Columbia. Forest Science 9: 1-10.Search in Google Scholar

XIE, C.-Y. and C. C. YING (1996): Heritabilities, age-age correlations, and early selection in lodgepole pine (Pinus contorta ssp. latifolia). Silvae Genetica 45: 101-107.Search in Google Scholar

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