Needle- and Canopy-Level Genetic Variation in Scots Pine (Pinus sylvestris L.) Revealed by Hyperspectral Phenotyping Across Sites and Seasons
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F25%3A102231" target="_blank" >RIV/60460709:41320/25:102231 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1111/eva.70176" target="_blank" >https://doi.org/10.1111/eva.70176</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/eva.70176" target="_blank" >10.1111/eva.70176</a>
Alternative languages
Result language
angličtina
Original language name
Needle- and Canopy-Level Genetic Variation in Scots Pine (Pinus sylvestris L.) Revealed by Hyperspectral Phenotyping Across Sites and Seasons
Original language description
As an essential species across European forests, Scots pine (Pinus sylvestris L.) plays a vital ecological and economic role, yet its physiological variability underlying its adaptive potential remains underexplored. Understanding this intraspecific variability is crucial for uncovering the genetic basis of adaptation. Traditional genetic evaluations require large sample sizes and are time-consuming, whereas hyperspectral sensing/imaging enables rapid, nondestructive assessment of physiological traits across many individuals, facilitating more efficient exploration of adaptive variation. We assessed needle functional traits (NFTs) linked to foliar structure, water content, and pigment composition in clonal seed orchards over two seasons, integrating hyperspectral measurements at needle and canopy levels with genotyping using a new 50 K single-nucleotide polymorphism (SNP) array. Linear mixed models revealed substantial genetic variation, with the carotenoid-to-total-chlorophyll ratio showing the highest heritability (0.29) among pigment traits, and structural/water-related traits reaching heritability values up to 0.38. Significant genetic correlations were observed between stress-related traits (pigment content, equivalent water thickness) and reflectance, suggesting that spectral traits could serve as proxies for indirect selection of adaptive traits or in breeding programs. Low genotype-by-environment interaction and stable clonal performance across years further underscore the reliability of these traits for identifying resilient genotypes. Overall, our findings highlight hyperspectral phenotyping and NFTs as promising tools for accelerating climate-adaptive breeding in Scots pine.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Evolutionary Applications
ISSN
1752-4563
e-ISSN
1752-4563
Volume of the periodical
18
Issue of the periodical within the volume
NOV 12 2025
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
21
Pages from-to
1-21
UT code for WoS article
001613573700001
EID of the result in the Scopus database
2-s2.0-105021602858