Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine

Prediction of Needle Physiological Traits Using UAV Imagery for Breeding Selection of Slash Pine

Leaf nitrogen (N) content and nonstructural carbohydrate (NSC) content are 2 important physiological indicators that reflect the growth state of trees. Rapid and accurate measurement of these 2 traits multitemporally enables dynamic monitoring of tree growth and efficient tree breeding selection. Tr...

Full description

Bibliographic Details
Main Authors: Xiaoyun Niu, Zhaoying Song, Cong Xu, Haoran Wu, Qifu Luan, Jingmin Jiang, Yanjie Li
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2023-01-01
Series:Plant Phenomics
Online Access:https://spj.science.org/doi/10.34133/plantphenomics.0028

Similar Items

Similar Items