This invention discloses a method for accurately measuring
tracheid wall thickness in *Pinus sylvestris* based on micro-CT images, a method for selecting
high carbon-fixing varieties of *Pinus sylvestris*, and a
system, belonging to the field of forest tree
genetics and breeding technology. Addressing the systematic underestimation of
tracheid wall thickness due to partial
volume effect in micro-
CT measurements, this invention employs the gray-scale
centroid method to calculate the sub-pixel position of the wall-cavity boundary, reducing the measurement error from ±1.5 μm to ±0.3 μm. Based on accurate wall thickness data, screening criteria are established: "average wall thickness ≥ 75th percentile of the
population,
coefficient of variation ≤ 15%, and proportion of thick-walled tracheids ≥ 60%". Combined with
carbon storage index
verification, this enables precise selection of
high carbon-fixing varieties. This method is non-destructive, efficient, and reproducible, and is applicable to the genetic improvement of *Pinus sylvestris* and similar coniferous trees.