文献类型：期刊文献

英文题名：Leveraging close-range UAV phenotyping and GWAS for enhanced understanding of slash pine growth dynamics

作者：Ding, Xianyin[1] Pelser, Pieter B.[2] Xu, Cong[3] Porth, Ilga[4,5] Cui, Mingming[4,5] El-Kassaby, Yousry A.[6] Diao, Shu[1] Luan, Qifu[1] Li, Yanjie[1]

第一作者：Ding, Xianyin

通信作者：Li, YJ[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, Ctr Smart Forestry Innovat & Res, Hangzhou 311400, Zhejiang, Peoples R China;[2]Univ Canterbury, Sch Biol Sci, Private Bag 4800, Christchurch 8140, New Zealand;[3]Univ Canterbury, Sch Forestry, Private Bag 4800, Christchurch 8140, New Zealand;[4]Laval Univ, Dept Wood & Forest Sci, Quebec City, PQ, Canada;[5]Univ Laval, Ctr Forest Res, Quebec City, PQ, Canada;[6]Univ British Columbia, Fac Forestry, Forest Sci Ctr, Dept Forest & Conservat Sci, Vancouver, BC V6T 1Z4, Canada

年份：2025

卷号：12

期号：4

起止页码：550-564

外文期刊名：INFORMATION PROCESSING IN AGRICULTURE

收录：;EI(收录号：20253118905880);Scopus(收录号：2-s2.0-105011938196);WOS:【SCI-EXPANDED(收录号:WOS:001666454900001)】；

基金：This work was funded by the Fundamental Research Funds of CAF, No. CAFYBB2022QA001 and the Biological Breeding-Major Projects (2023ZD040580105) .

语种：英文

外文关键词：Remote sensing imagery; Dynamic temporal response; Genetic variations; Genome-wide association studies; Genomic selection

摘要：Advances in high-throughput phenotyping and genomics have accelerated our comprehension of plant functional differentiation. Nevertheless, efficiently phenotyping long-lived tree breeding populations and studying their dynamic response to field conditions remains a challenge, hindering genetic dissection and selective breeding efforts. This study refined and employed a newly developed high-efficiency unmanned aerial vehicle (UAV) imaging system to assess the temporal response of a slash pine (Pinus elliottii) breeding population in field conditions quantitatively over 2 years, identifying six strongly interrelated dynamic growth traits. In a genomewide association study, 34 trait-associated loci explained between 1.1 % and -14.2 % of temporal phenotypic variation. These genes and regulatory loci influence signal reception, transduction, and transcriptional regulation networks in dynamic growth, impacting metabolic pathways such as cell membrane assembly, cell wall degradation, and cell differentiation. The enhanced UAV imaging system facilitates comprehensive analysis of dynamic growth response in trees, aiding in the discovery of informative alleles to unravel the genetic basis of complex phenotypic variation in conifers.