Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management
Abstract 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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | Food and Energy Security |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fes3.500 |
| _version_ | 1797680952903729152 |
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| author | Xinrui Wang Qing Wang Qiang Jia Yousry A. El‐Kassaby Sailesh Ranjitkar Junjie Wang Qiuhong Xiang Kurt vonKleist Wenbin Guan |
| author_facet | Xinrui Wang Qing Wang Qiang Jia Yousry A. El‐Kassaby Sailesh Ranjitkar Junjie Wang Qiuhong Xiang Kurt vonKleist Wenbin Guan |
| author_sort | Xinrui Wang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T23:38:13Z |
| format | Article |
| id | doaj.art-9aa5fb8f2c304e53a342399c920e5feb |
| institution | Directory Open Access Journal |
| issn | 2048-3694 |
| language | English |
| last_indexed | 2024-03-11T23:38:13Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Food and Energy Security |
| spelling | doaj.art-9aa5fb8f2c304e53a342399c920e5feb2023-09-19T18:45:42ZengWileyFood and Energy Security2048-36942023-09-01125n/an/a10.1002/fes3.500Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) managementXinrui Wang0Qing Wang1Qiang Jia2Yousry A. El‐Kassaby3Sailesh Ranjitkar4Junjie Wang5Qiuhong Xiang6Kurt vonKleist7Wenbin Guan8School of Ecology and Nature Conservation Beijing Forestry University Beijing ChinaEcological Technical Research Institute (Beijing)CO., Ltd., CIECC Beijing ChinaEcological Technical Research Institute (Beijing)CO., Ltd., CIECC Beijing ChinaDepartment of Forest and Conservation Sciences, Faculty of Forestry The University of British Columbia Vancouver British Columbia CanadaWorld Agroforestry Centre, East and Central Asia Kunming ChinaEcological Technical Research Institute (Beijing)CO., Ltd., CIECC Beijing ChinaSchool of Ecology and Nature Conservation Beijing Forestry University Beijing ChinaTropical Forests and People Research Centre University of the Sunshine Coast Sippy Downs Queensland AustraliaSchool of Ecology and Nature Conservation Beijing Forestry University Beijing ChinaAbstract 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.https://doi.org/10.1002/fes3.500fruit traithigh yieldtree architectureWoody oil speciesYellowhorn |
| spellingShingle | Xinrui Wang Qing Wang Qiang Jia Yousry A. El‐Kassaby Sailesh Ranjitkar Junjie Wang Qiuhong Xiang Kurt vonKleist Wenbin Guan Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management Food and Energy Security fruit trait high yield tree architecture Woody oil species Yellowhorn |
| title | Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management |
| title_full | Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management |
| title_fullStr | Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management |
| title_full_unstemmed | Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management |
| title_short | Optimal tree architecture for high‐yield yellowhorn (Xanthoceras sorbifolium) management |
| title_sort | optimal tree architecture for high yield yellowhorn xanthoceras sorbifolium management |
| topic | fruit trait high yield tree architecture Woody oil species Yellowhorn |
| url | https://doi.org/10.1002/fes3.500 |
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