LiDAR-estimated height in a young Scots pine (Pinus sylvestris L.) genetic trial supports high-accuracy early selection for height

Key message 

Enhancing the efficiency and precision of breeding programs necessitates the implementation of “high-throughput” phenotyping. By employing various sensors for rapid and frequent measurements, we can gather extensive datasets crucial for conventional breeding efforts. This approach not only holds promise for improving forest production but also for evaluating emerging challenges such as fungal infestations and drought damage. Our research demonstrates the efficiency of utilizing height data derived from LiDAR analysis to identify superior genotypes within the Scots pine breeding program, aimed at enhancing volume production.

Keywords 
Drones; UAV; Efficient phenotyping; Height measurements; Forest genetics

Publication
Liziniewicz, M., Almqvist, C., Helmersson, A. et al. LiDAR-estimated height in a young Scots pine (Pinus sylvestris L.) genetic trial supports high-accuracy early selection for height. Annals of Forest Science 82, 12 (2025). https://doi.org/10.1186/s13595-025-01283-w

Handling editor 
Shuguang Liu