Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Genetic improvement of the chemical composition of Scots pine (Pinus sylvestris L.) juvenile wood for bioenergy production
Popis výsledku anglicky
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
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40102 - Forestry
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Global Change Biology Bioenergy
ISSN
1757-1693
e-ISSN
1757-1707
Svazek periodika
12
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
16
Strana od-do
848-863
Kód UT WoS článku
000548173800001
EID výsledku v databázi Scopus
2-s2.0-85087742189