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Needle- and Canopy-Level Genetic Variation in Scots Pine (Pinus sylvestris L.) Revealed by Hyperspectral Phenotyping Across Sites and Seasons

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Needle- and Canopy-Level Genetic Variation in Scots Pine (Pinus sylvestris L.) Revealed by Hyperspectral Phenotyping Across Sites and Seasons

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Needle- and Canopy-Level Genetic Variation in Scots Pine (Pinus sylvestris L.) Revealed by Hyperspectral Phenotyping Across Sites and Seasons

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    R - Projekt Ramcoveho programu EK

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Evolutionary Applications

  • ISSN

    1752-4563

  • e-ISSN

    1752-4563

  • Svazek periodika

    18

  • Číslo periodika v rámci svazku

    NOV 12 2025

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    21

  • Strana od-do

    1-21

  • Kód UT WoS článku

    001613573700001

  • EID výsledku v databázi Scopus

    2-s2.0-105021602858