文献类型：期刊文献

英文题名：Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging

作者：Song, Zhaoying[1,2] Tomasetto, Federico[3] Niu, Xiaoyun[2] Yan, Wei Qi[4] Jiang, Jingmin[1] Li, Yanjie[1]

第一作者：Song, Zhaoying

通信作者：Li, YJ[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, 73 Daqiao Rd, Hangzhou 311400, Zhejiang, Peoples R China;[2]Agr Univ Hebei, Coll Landscape & Travel, Baoding, Peoples R China;[3]AgResearch Ltd, Christchurch 8140, New Zealand;[4]Auckland Univ Technol, Auckland 1010, New Zealand

年份：2022

卷号：2022

外文期刊名：PLANT PHENOMICS

收录：;EI(收录号：20222212176421);Scopus(收录号：2-s2.0-85130911449);WOS:【SCI-EXPANDED(收录号:WOS:000834077000008)】；

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

语种：英文

外文关键词：Antennas - Biomass - Cost effectiveness - Forestry - Genes - Surveys - Trees (mathematics)

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 scales. In 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. The CA of each tree was segmented by using marker-controlled watershed segmentation with a treetop and a set of minimum three meters heights. Moreover, the genetic variation of these traits has been analyzed and employed to estimate heritability (h(2)). The results showed a promising correlation between UAV and ground truth data with a range of R-2 from 0.58 to 0.85 at 70m flying heights and a moderate estimate of h(2) for all traits ranges from 0.13 to 0.47, where site influenced the h(2) value of slash pine trees, where h(2) in site 1 ranged from 0.13 similar to 0.25 lower than that in site 2 (range: 0.38 similar to 0.47). Similar genetic gains were obtained with both UAV and ground truth data; thus, breeding selection is still possible. The method described in this paper provides faster, more high-throughput, and more cost-effective UAV-SfM surveys to monitor a larger area of breeding plantations than traditional ground surveys while maintaining data accuracy.