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Literature cited

  • Adams, W. T.1983. Application of isozymes in tree breeding. In S. D. Tanksley, and T. J. Orton, eds. Isozymes in Plant Genetics and Breeding, Part A, pp. 381400. Elsevier Science Publishers B.V. Amsterdam, The Netherlands.
  • Aiken, C. T., R. M. Kaake, X. Wang, and L. Huang. 2011. Oxidative stress-mediated regulation of proteasome complexes. Molecular and Cellular Proteomics10: R110.006924, doi: 10.1074/mcp.M110.006924.
  • Amos, W., J. Worthington Wilmer, K. Fullard, T. M. Burg, J. P. Croxall, D. Bloch, and T. Coulson. 2001. The influence of parental relatedness on reproductive success. Proceedings of the Royal Society B: Biological Sciences268:20212027.
  • Aparicio, J. M., J. Ortego, and P. J. Cordero. 2006. What should we weigh to estimate heterozygosity, alleles or loci?Molecular Ecology15:46594665.
  • Barton, N. H., and P. D. Keightley. 2002. Understanding quantitative genetic variation. Nature Reviews Genetics3:1121.
  • Beaulieu, J.1994. L’amélioration génétique de l’épinette blanche au Québec: une longueur d’avance. Aubelle101:1113.
  • Beaulieu, J.1996. Breeding Program and Strategy for White Spruce in Quebec. Information Report LAU-X-117E. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Sainte-Foy, Quebec, Canada.
  • Beaulieu, J., T. Doerksen, B. Boyle, S. Clément, M. Deslauriers, S. Beauseigle, S. Blais et al.2011. Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression. Genetics188:197214.
  • Belkhir, K., P. Borsa, L. Chikhi, N. Raufaste, and F. Bonhomme. 19962004. GENETIX 4.05, Logiciel sous WindowsTM pour la Génétique des Populations. Laboratoire Génome, Populations, Interactions, CNRS UMR 5000, Université de Montpellier II, Montpellier, France.
  • Bergmann, F., and W. Ruetz. 1991. Isozyme genetic variation and heterozygosity in random tree samples and selected orchard clones from the same Norway spruce populations. Forest Ecology and Management46:3947.
  • Bulmer, M. G.1971. The effect of selection on genetic variability. American Naturalist105:201211.
  • Carle, J., and P. Holmgren. 2008. Wood from planted forests. A global outlook 2005–2030. Forest Products Journal58:618.
  • Chaisurisri, K., and Y. A. El-Kassaby. 1994. Genetic diversity in a seed production population vs. natural populations of Sitka spruce. Biodiversity Conservation3:512523.
  • Charlesworth, D., and J. H. Willis. 2009. The genetics of inbreeding depression. Nature Reviews Genetics10:783796.
  • Cheliak, W. M., G. Murray, and J. A. Pitel. 1988. Genetic effects of phenotypic selection in white spruce. Forest Ecology and Management24:139149.
  • Clément, S., J. Fillon, J. Bousquet, and J. Beaulieu. 2010. TreeSNPs: a laboratory information management system (LIMS) dedicated to SNP discovery in trees. Tree Genetics and Genomes6:435438.
  • Corriveau, A., and M. Boudoux. 1971. Le Développement des Provenances d’Épinette Blanche de la Région Forestière des Grands-Lacs et du Saint-Laurent au Québec. Information Report Q-F-X-15. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Sainte-Foy, Quebec, Canada.
  • Coulon, A.2010. GENHET: an easy-to-use R function to estimate individual heterozygosity. Molecular Ecology Resources10:167169.
  • Danusevicius, D., and D. Lindgren. 2005. Optimization of breeding population size for long-term breeding. Scandinavian Journal of Forest Research20:1825.
  • Deng, H. W., and Y. X. Fu. 1998. Conditions for positive and negative correlations between fitness and heterozygosity in equilibrium populations. Genetics148:13331340.
  • Desponts, M., A. Plourde, J. Beaulieu, and G. Daoust. 1993. Impact de la sélection sur la variabilité génétique de l’épinette blanche au Québec. Canadian Journal of Forest Research23:11961202.
  • Dhir, N. K.1976. Stand, family, and site effects in Upper Ottawa Valley white spruce. In: Proceedings of the Twelfth Lake States Forest Tree Improvement Conference, pp. 8897. General Technical Report NC-26, USDA Forest Service, North Central Forest Experiment Station, St. Paul, MN, USA.
  • Dillens, S. Y., V. Storme, N. Marron, C. Bastien, S. Neyrinck, M. Steenackers, R. Ceulemans et al.2009. Genomic regions involved in productivity of two interspecific poplar families in Europe. I. Stem height, circumference and volume. Tree Genetics and Genomes5:147164.
  • El-Kassaby, Y. A., and K. Ritland. 1996. Impact of selection and breeding on the genetic diversity in Douglas-fir. Biodiversity and Conservation5:795813.
  • Eriksson, G., B. Schelander, and V. Åkebrand. 1973. Inbreeding depression in an old experimental plantation of Picea abies. Hereditas73:185193.
  • Falconer, D. S., and T. F. C. MacKay. 1996. Introduction to Quantitative Genetics, 4th edn. Longman, London and New York.
  • Fan, J. B., A. Oliphant, R. Shen, B. G. Kermani, F. Garcia, K. L. Gunderson, M. Hansen et al.2003. Highly parallel SNP genotyping. In: Cold Spring Harbor Symposia on Quantitative Biology, pp. 6978. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York, USA.
  • Farrar, J. L.1995. Trees of the Northern United States and Canada. Iowa State University Press, Ames, Iowa, USA.
  • Freeman, J. S., S. P. Whittock, B. M. Potts, and R. E. Vaillancourt. 2009. QTL influencing growth and wood properties in Eucalyptus globulus. Tree Genetics and Genomes5:713722.
  • Grattapaglia, D., and M. Kirst. 2008. Eucalyptus applied genomics: from gene sequences to breeding tools. New Phytologist179:911929.
  • Grattapaglia, D., C. Plomion, M. Kirst, and R. R. Sederoff. 2009. Genomics of growth traits in forest trees. Current Opinion in Plant Biology12:148156.
  • Griffing, B.1960. Theoretical consequences of truncation selection based on the individual phenotype. Australian Journal of Biological Sciences13:307343.
  • Hansson, B., and L. Westerberg. 2002. On the correlation between heterozygosity and fitness in natural populations. Molecular Ecology11:24672474.
  • Hartl, D. L., and A. G. Clark. 1997. Principles of Population Genetics, 3rd edn. Sinauer Associates, Sunderland, Massachusetts, USA.
  • Jaramillo-Correa, J. P., J. Beaulieu, and J. Bousquet. 2001. Contrasting evolutionary forces driving population structure at ESTPs, allozymes and quantitative traits in white spruce. Molecular Ecology10:27292740.
  • Johnson, R., B. St. Clair, and S. Lipow. 2001. Genetic conservation in applied tree breeding programs. In: Proceedings of the ITTO Conference on In Situ and Ex Situ Conservation of Commercial Tropical Trees, pp. 215230. ITTO, Yokohama, Japan.
  • Knowles, P.1985. Comparison of isozyme variation among natural stands and plantations: jack pine and black spruce. Canadian Journal of Forest Research15:902908.
  • Ledig, F. T., R. P. Guries, and B. A. Bonefeld. 1983. The relation of growth to heterozygosity in pitch pine. Evolution37:12271238.
  • Loopstra, C. A., and R. R. Sederoff. 1995. Xylem-specific gene expression in loblolly pine. Plant Molecular Biology27:277291.
  • Lynch, M., and B. Walsh. 1998. Genetics and Analysis of Quantitative Traits. Sinauer Associates, Sunderland, MA, USA.
  • Maruyama, T., and P. A. Fuerst. 1985. Population bottlenecks and nonequilibrium models in population genetics. III. Genic homozygosity in populations which experience periodic bottlenecks. Genetics111:691703.
  • Mitton, J. B., and M. C. Grant. 1984. Association among protein heterozygosity, growth rate, and developmental homeostasis. Annual Review of Ecology and Systematics15:479499.
  • Mueller, J. P., and J. W. James. 1983. Effect on linkage disequilibrium of selection for a quantitative character with epistasis. Theoretical and Applied Genetics65:2530.
  • Muona, O., and A. Hariu. 1989. Effective population sizes, genetic variability, and mating system in natural stands and seed orchards of Pinus sylvestris. Silvae Genetica38:221228.
  • Namkoong, G.1979. Introduction to Quantitative Genetics in Forestry. USDA Forest Service. Technical Bulletin No. 1588, Washington, DC, USA.
  • Namkoong, G., H. C. Kang, and J. S. Brouard. 1988. Tree Breeding: Principles and Strategies. Springer-Verlag, New York, NY, USA.
  • Namkoong, G., M. P. Koshy, and S. Aitken. 2000. Selection. In: A. Young, D. Boshier, and T. Boyle, eds. Forest Conservation Genetics: Principles and Practices, pp. 101111. CABI Publishing, Wallingford, UK.
  • Namroud, M.-C., J. Beaulieu, N. Juge, J. Laroche, and J. Bousquet. 2008. Scanning the genome for gene single nucleotide polymorphisms involved in adaptive population differentiation in white spruce. Molecular Ecology17:35993613.
  • Namroud, M.-C., C. Guillet-Claude, J. Mackay, N. Isabel, and J. Bousquet. 2010. Molecular evolution of regulatory genes in spruces from different species and continent: heterogeneous patterns of linkage disequilibrium and selection but correlated recent demographic changes. Journal of Molecular Evolution70:371386.
  • Narum, S. R.2006. Beyond Bonferroni: less conservative analyses for conservation genetics. Conservation Genetics7:783787.
  • Nei, M.1978. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics89:583590.
  • Nienstaedt, H., and J. C. Zasada. 1990. Picea glauca. White spruce. In: R. M. Burns, and B. H. Honkala, tech. coords eds. Silvics of North America: 1. Conifers, pp. 204226. Agriculture Handbook 654, USDA Forest Service, Washington, DC, USA.
  • Pavy, N., C. Paule, L. Parsons, J. A. Crow, M.-J. Morency, J. Cooke, J. E. Johnson et al.2005. Generation, annotation, analysis and database integration of 16,500 white spruce EST clusters. BMC Genomics6:144.
  • Pavy, N., L. S. Parsons, C. Paule, J. MacKay, and J. Bousquet. 2006. Automated SNP detection from a large collection of white spruce expressed sequences: contributing factors and approaches for the categorization of SNPs. BMC Genomics7:174.
  • Pavy, N., B. Pelgas, S. Beauseigle, S. Blais, F. Gagnon, I. Gosselin, M. Lamothe et al.2008. Enhancing genetic mapping of complex genomes through the design of highly-multiplexed SNP arrays: application to the large and unsequenced genomes of white spruce and black spruce. BMC Genomics9:21.
  • Pavy, N., M.-C. Namroud, F. Gagnon, N. Isabel, and J. Bousquet. 2012. The heterogenous levels of linkage disequilibrium in white spruce genes and comparative analysis with other conifers. Heredity. doi:10.1038/hdy.2011.72 (in press).
  • Pelgas, B., N. Isabel, and J. Bousquet. 2004. Efficient screening for expressed sequence tag polymorphisms (ESTPs) by DNA pool sequencing and denaturing gradient gel electrophoresis (DGGE) in spruces. Molecular Breeding13:263279.
  • Pelgas, B., J. Bousquet, S. Beauseigle, and N. Isabel. 2005. A composite linkage map from two crosses for the species complex Picea mariana×Picea rubens and analysis of synteny with other Pinaceae. Theoretical and Applied Genetics111:14661488.
  • Pelgas, B., S. Beauseigle, V. Acheré, S. Jeandroz, J. Bousquet, and N. Isabel. 2006. Comparative genome mapping among Picea glauca, P. mariana×P. rubens and P. abies, and correspondence with other Pinaceae. Theoretical and Applied Genetics113:13711393.
  • Pelgas, B., J. Bousquet, P. G. Meirmans, K. Ritland, and N. Isabel. 2011. QTL mapping in white spruce: gene maps and genomic regions underlying adaptive traits across pedigrees, years and environments. BMC Genomics12:145.
  • Prunier, J., J. Laroche, J. Beaulieu, and J. Bousquet. 2011. Scanning the genome for gene SNPs related to climate adaptation and estimating selection at the molecular level in boreal black spruce. Molecular Ecology20:17021716.
  • Rae, A. M., M. P. C. Pinel, C. Bastien, M. Sabatti, N. R. Street, J. Tucker, C. Dixon et al.2008. QTL for yield in bioenergy Populus: identifying GxE interactions from growth at three contrasting sites. Tree Genetics and Genomes4:97112.
  • Rajora, O. P.1999. Genetic biodiversity impacts of silvicultural practices and phenotypic selection in white spruce. Theoretical and Applied Genetics99:954961.
  • Raufaste, N., and F. Bonhomme. 2000. Properties of bias and variance of two multiallelic estimators of FST. Theoretical Population Biology57:285296.
  • Robertson, A., and W. G. Hill. 1984. Deviations from Hardy–Weinberg proportions: sampling variances and use in estimation of inbreeding coefficients. Genetics107:703718.
  • Savolainen, O., and P. Hedrick. 1995. Heterozygosity and fitness: no association in Scots pine. Genetics140:755766.
  • Sharma, K., B. Degen, G. von Wuehlisch, and N. B. Singh. 2007. An assessment of heterozygosity and fitness in Chir pine (Pinus roxburghii Sarg.) using isozymes. New Forests34:153162.
  • Shen, R., J.-B. Fan, D. Campbell, W. Chang, J. Chen, D. Doucet, J. Yeakley et al.2005. High-throughput SNP genotyping on universal bead arrays. Mutation Research573:7082.
  • Smouse, P. E.1986. The fitness consequences of multiple-locus heterozygosity under the multiplicative overdominance and inbreeding depression models. Evolution40:946957.
  • Storey, J. D., and R. Tibshirani. 2003. Statistical significance for genomewide studies. Proceedings of the National Academy of Sciences of the United States of America100:94409445.
  • Strauss, S. H.1986. Heterosis at allozyme loci under inbreeding and crossbreeding in Pinus attenuata. Genetics113:115134.
  • Szmidt, A. E., and O. Muona. 1985. Genetic effects of Scots pine (Pinus sylvestris L.) domestication. Lecture Notes in Biomathematics60:241252.
  • Taniguchi, Y., A. Ono, M. Sawatani, M. Nanba, K. Kohno, M. Usui, M. Kurimoto et al.1995. Cry j I, a major allergen of Japanese cedar pollen, has a pectate lyase enzyme activity. Allergy50:9093.
  • White, T. L., and G. R. Hodge. 1989. Predicting Breeding Values with Applications in Forest Tree Improvement. Kluwer Academic Publishers, Dordrecht, The Netherlands.
  • Williams, C. G., J. L. Hamrick, and P. O. Lewis. 1995. Multiple-population versus hierarchical conifer breeding programs: a comparison of genetic diversity levels. Theoretical and Applied Genetics90:584594.
  • Wu, Y., X. Qiu, S. Du, and L. Erickson. 1996. PO149, a new member of pollen pectate lyase-like gene family from alfalfa. Plant Molecular Biology32:10371042.
  • Yanchuk, A. D.2001. A quantitative framework for breeding and conservation of forest tree genetic resources in British Columbia. Canadian Journal of Forest Research31:566576.
  • Zouros, E., and D. W. Foltz. 1987. The use of allelic isozyme variation for the study of heterosis. Isozymes13:159.