Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management

Xinrui Wang; Qing Wang; Qiang Jia; Yousry A. El-Kassaby; Sailesh Ranjitkar; Junjie Wang; Qiuhong Xiang; Kurt von Kleist; Wenbin Guan

doi:10.1002/fes3.500

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Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management

Journal article

Open access

Peer reviewed

Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management

Xinrui Wang, Qing Wang, Qiang Jia, Yousry A. El-Kassaby, Sailesh Ranjitkar, Junjie Wang, Qiuhong Xiang, Kurt von Kleist and Wenbin Guan

Food and Energy Security, Vol.12(5), pp.1-10

2023

DOI: https://doi.org/10.1002/fes3.500

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Abstract

fruit trait

high yield

tree architecture

Woody oil species

Yellowhorn

Tree architectural attributes demonstrate a significant association with fruit yield. Yellowhorn is the future bioenergy tree in China; however, the species suffers from high reproductive energy and exceedingly low reproductive output. To optimize yellowhorn management and pinpoint priority trees featuring optimal architecture, we employed machine learning modeling to develop high fruit yielding predictive models using five yield indicators (dependent variables: FrW, SeW, ShW, FrW, and SeN) and five tree characteristics (independent variables: CA, TH, DGL, HLC, and MBN) of yellowhorn. Results showed that trees characterized by a substantial canopy area (>1.70 m2) and a large diameter at ground level (>3.71 cm) have been found to yield a higher fruit production. However, increased tree height does not invariably correlate with an elevated yield. Effective selection of high-yielding individuals can be accomplished by restricting tree height within the range of 192–232.4 cm. This approach emphasizes the importance of integrating considerations of tree architecture into forestry management practices. Such integration can bolster productivity, thereby contributing to both the sustainability and economic viability of yellowhorn forests.

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Title: Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management
Authors: Xinrui Wang (Author) - Beijing Forestry University
Qing Wang (Author) - Ecological Technical Research Institute (Beijing)
Qiang Jia (Author) - Ecological Technical Research Institute (Beijing)
Yousry A. El-Kassaby (Corresponding Author) - Department of Forest and Conservation Sciences, Faculty of Forestry The University of British Columbia Vancouver British Columbia Canada
Sailesh Ranjitkar (Author) - World Agroforestry Centre
Junjie Wang (Author) - Ecological Technical Research Institute (Beijing)
Qiuhong Xiang (Author) - Beijing Forestry University
Kurt von Kleist (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research Centre
Wenbin Guan (Corresponding Author) - Beijing Forestry University
Publication details: Food and Energy Security, Vol.12(5), pp.1-10
Publisher: John Wiley & Sons Ltd.
Date published: 2023
DOI: 10.1002/fes3.500
ISSN: 2048-3694
Copyright note: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Grant note: 2020133101 / Central department budgets forestry and grassland science and technology projects
Organisation Unit: Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; USC Business School - Legacy
Language: English
Record Identifier: 99749698702621
Output Type: Journal article

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