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近红外光谱作为一种高通量表型化方法,用于 loblolly松中的状抗性

Simone Lim-Hing1,2, Anna O Conrad3, Cristián R Montes4

  • 1D.B. Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, 30602, USA.

Plant phenomics (Washington, D.C.)
|December 19, 2025
PubMed
概括

近红外 (NIR) 光谱学可以改善状抗的表型化. 这种方法为选择抗病树木提供了比视觉检查更准确的替代方案,减少了错误分类的错误.

关键词:
分类算法分类算法分类算法聚合形式的生是如何形成的洛布洛利松树是一种松树.现型化 (Phenotyping) 是一种表现方式.振动光谱学是一种振动光谱法.

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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