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%2F00216208%3A11310%2F25%3A10509456" target="_blank" >RIV/00216208:11310/25:10509456 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=i3TBhBv_Eu" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=i3TBhBv_Eu</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
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/LTAUSA19113" target="_blank" >LTAUSA19113: Genetic variability of hyper-spectral reflectance in Scots pine ecotypes for selection of drought-resistant individuals</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
1752-4571
e-ISSN
1752-4571
Volume of the periodical
18
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
e70176
UT code for WoS article
001613573700001
EID of the result in the Scopus database
2-s2.0-105021602858