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Genetic variation in wood properties

  • Chapter
New Perspectives in Wood Anatomy

Part of the book series: Forestry Sciences ((FOSC,volume 1))

Summary

The significance of genetic variation in commercially important technological characters of wood has been realised only in the last 50 years: most of the initial studies were made by silviculturists and later by tree breeders, occasionally in cooperation with wood technologists rather than anatomists. The wood properties examined were not always those considered by taxonomic anatomists; these anatomists recognised the existence of variation in cell and tissue size, composition and distribution but accounted for it only to the extent of estimating mean values mainly at the specific level. The fundamental sources of variation (mutation, migration and selection) apply as much to anatomy as to morphology and many anatomical features are under polygenic control (metric, quantitative traits). Differences between species, populations and trees have been demonstrated for a wide range of wood properties in species, provenance and progeny trials of many species; trees also vary genetically in the extent and pattern of intra-tree variation. The type of genetic control (additive or non-additive) varies between traits. For precise estimation of population parameters many samples are required and modern techniques such as densitometry and image-analysis, coupled with computing and statistical methods, facilitate rapid processing and evaluation of large numbers for several wood traits. For many species, characters, and plantation sites, attention is now being concentrated on estimating genetic parameters including correlations between anatomical traits and utilisation characteristics.

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Burley, J. (1982). Genetic variation in wood properties. In: Baas, P. (eds) New Perspectives in Wood Anatomy. Forestry Sciences, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2418-0_7

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  • DOI: https://doi.org/10.1007/978-94-017-2418-0_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8269-5

  • Online ISBN: 978-94-017-2418-0

  • eBook Packages: Springer Book Archive

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