Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning (TLS) Data.

IF 7.6 1区 农林科学 Q1 AGRONOMY
Plant Phenomics Pub Date : 2023-09-22 eCollection Date: 2023-01-01 DOI:10.34133/plantphenomics.0092
Wen Gao, Xiaoming Yang, Lin Cao, Fuliang Cao, Hao Liu, Quan Qiu, Meng Shen, Pengfei Yu, Yuhua Liu, Xin Shen
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引用次数: 0

Abstract

With the concept of sustainable management of plantations, individual trees with excellent characteristics in plantations have received attention from breeders. To improve and maintain long-term productivity, accurate and high-throughput access to phenotypic characteristics is essential when establishing breeding strategies. Meanwhile, genetic diversity is also an important issue that must be considered, especially for plantations without seed source information. This study was carried out in a ginkgo timber plantation. We used simple sequence repeat (SSR) markers for genetic background analysis and high-density terrestrial laser scanning for growth structural characteristic extraction, aiming to provide a possibility of applying remote sensing approaches for forest breeding. First, we analyzed the genetic diversity and population structure, and grouped individual trees according to the genetic distance. Then, the growth structural characteristics (height, diameter at breast height, crown width, crown area, crown volume, height to living crown, trunk volume, biomass of all components) were extracted. Finally, individual trees in each group were comprehensively evaluated and the best-performing ones were selected. Results illustrate that terrestrial laser scanning (TLS) point cloud data can provide nondestructive estimates of the growth structural characteristics at fine scale. From the ginkgo plantation containing high genetic diversity (average polymorphism information content index was 0.719) and high variation in growth structural characteristics (coefficient of variation ranged from 21.822% to 85.477%), 11 excellent individual trees with superior growth were determined. Our study guides the scientific management of plantations and also provides a potential for applying remote sensing technologies to accelerate forest breeding.

利用陆地激光扫描(TLS)数据筛选不同遗传群体中具有优良生长结构特征的银杏个体。
随着人工林可持续管理的理念,人工林中具有优良特性的单株受到了育种家的关注。为了提高和保持长期生产力,在制定育种策略时,准确、高通量地获取表型特征至关重要。同时,遗传多样性也是一个必须考虑的重要问题,尤其是对于没有种子来源信息的种植园。这项研究是在一个银杏人工林中进行的。我们使用简单序列重复(SSR)标记进行遗传背景分析,并使用高密度陆地激光扫描提取生长结构特征,旨在为遥感方法应用于森林育种提供可能性。首先,我们分析了遗传多样性和种群结构,并根据遗传距离对单株进行了分组。然后,提取生长结构特征(高度、乳高直径、冠宽、冠面积、冠体积、到活冠高度、树干体积、所有成分的生物量)。最后,对各组的单株进行综合评价,选出表现最好的一株。结果表明,地面激光扫描(TLS)点云数据可以在精细尺度上提供生长结构特征的无损估计。从具有高遗传多样性(平均多态性信息含量指数为0.719)和高生长结构特征变异(变异系数为21.822%-85.477%)的银杏林中,确定了11个生长优良的单株。我们的研究指导了种植园的科学管理,也为应用遥感技术加速森林育种提供了潜力。
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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