Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging

作     者：Zhaoying Song Federico Tomasetto Xiaoyun Niu Wei Qi Yan Jingmin Jiang Yanjie Li Zhaoying Song;Federico Tomasetto;Xiaoyun Niu;Wei Qi Yan;Jingmin Jiang;Yanjie Li

作者机构：Research Institute of Subtropical ForestryChinese Academy of ForestryNo.73Daqiao RoadFuyangHangzhou311400 Zhejiang ProvinceChina College of Landscape and TravelAgricultural University of HebeiBaodingChina AgResearch Ltd.Christchurch 8140New Zealand Auckland University of TechnologyAuckland 1010New Zealand 

出 版 物：《Plant Phenomics》 (植物表型组学（英文）)

年 卷 期：2022年第4卷第1期

页      面：310-323页

核心收录：

学科分类：0710[理学-生物学] 0907[农学-林学] 08[工学] 0829[工学-林业工程] 09[农学] 0701[理学-数学] 0713[理学-生态学] 

基　　金：This work was funded by the Zhejiang Science and Technol-ogy Major Program on Agricultural(forest)New Variety Breeding(2021C02070-1) the National Natural Science Foundation of China(31901323) 

主　　题：pine breeding Biomass 

摘      要：Traditional methods used to monitor the aboveground biomass(AGB)and belowground biomass(BGB)of slash pine(Pinus elliottii)rely on on-ground measurements,which are time-and cost-consuming and suited only for small spatial *** this paper,we successfully applied unmanned aerial vehicle(UAV)integrated with structure from motion(UAV-SfM)data to estimate the tree height,crown area(CA),AGB,and BGB of slash pine for in slash pine breeding plantations sites.