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Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F20%3A84467" target="_blank" >RIV/60460709:41210/20:84467 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12723" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/gcbb.12723</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/gcbb.12723" target="_blank" >10.1111/gcbb.12723</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production

  • Original language description

    Chemical composition is one of the key characteristics that determines wood quality and in turn its suitability for different end products and applications. The inclusion of chemical compositional traits in forest tree improvement requires high throughput techniques capable of rapid, nondestructive and cost efficient assessment of large scale breeding experiments. We tested whether Fourier transform infrared (FTIR) spectroscopy, coupled with partial least squares regression, could serve as an alternative to traditional wet chemistry protocols for the determination of the chemical composition of juvenile wood in Scots pine for tree improvement purposes. FTIR spectra were acquired for 1,245 trees selected in two Scots pine (Pinus sylvestris L.) full sib progeny tests located in northern Sweden. Predictive models were developed using 70 reference samples with known chemical composition (the proportion of lignin, carbohydrates (cellulose, hemicelluloses and their structural monosaccharides glucose, mann

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Global Change Biology Bioenergy

  • ISSN

    1757-1693

  • e-ISSN

    1757-1707

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    16

  • Pages from-to

    848-863

  • UT code for WoS article

    000548173800001

  • EID of the result in the Scopus database

    2-s2.0-85087742189