https://www.ahs.ac.cn/images/0513-353X/images/top-banner1.jpg|#|苹果
https://www.ahs.ac.cn/images/0513-353X/images/top-banner2.jpg|#|甘蓝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner3.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner4.jpg|#|灵芝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner5.jpg|#|桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner6.jpg|#|黄瓜
https://www.ahs.ac.cn/images/0513-353X/images/top-banner7.jpg|#|蝴蝶兰
https://www.ahs.ac.cn/images/0513-353X/images/top-banner8.jpg|#|樱桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner9.jpg|#|观赏荷花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner10.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner11.jpg|#|月季
https://www.ahs.ac.cn/images/0513-353X/images/top-banner12.jpg|#|菊花

Acta Horticulturae Sinica ›› 2025, Vol. 52 ›› Issue (10): 2774-2786.doi: 10.16420/j.issn.0513-353x.2024-0802

• Cultivation·Physiology & Biochemistry • Previous Articles     Next Articles

3D-Based Analysis of Plant Architecture-Light Interception Correlation in Vegetable Crops

JU Qingqing1,2, WANG Xiaoli1, ZHENG Xiuguo2,3, WANG Quhong4, ZHU Huizhi5, QIAN Tingting2,3,*()   

  1. 1 College of Life Sciences,Shanghai Normal University,Shanghai 200234,China
    2 Institute of Agricultural Science and Technology Information,Shanghai Academy of Agricultural Sciences,Shanghai 201403,China
    3 Key Laboratory of Intelligent Agricultural Technology(Yangtze River Delta),Ministry of Agriculture and Rural Affairs,P. R. China,Shanghai 201403,China
    4 Shanghai Zhengyi Horticulture Co.,Ltd.,Shanghai 201112,China
    5 Shanghai Minhang District Agricultural Technology Service Center,Shanghai 201199,China
  • Received:2024-12-17 Revised:2025-06-10 Online:2025-10-25 Published:2025-10-28
  • Contact: QIAN Tingting

Abstract:

Analyzing the relationship between crop architecture and canopy light interception using efficient parameter acquisition methods is crucial for precision breeding and cultivation research. In this study,3D digital technology was employed to acquire architectural parameters of 30 cultivars across five vegetable crops. The inter-varietal differences in stem length,petiole length,leaf length,leaf width,and leaf angle were extracted and analyzed. A 3D population model was constructed for each of the five vegetable crops,and canopy light interception calculation were conducted based on the 3D models. Multiple linear regression approach was used to analyze the correlation between architectural parameters and canopy light interception. The analysis results showed that,significant differences in leaf angle were observed among the cultivars of tomato,cucumber,eggplant,and pumpkin. Significant differences in stem length were observed in cucumber cultivars,while stem length and petiole length showed notable differences among pepper cultivars. Canopy light interception calculate revealed significant differences in light interception among the cultivars of tomato,cucumber,eggplant,and pepper. Leaf angle was found to be a key factor affecting light interception in tomato,cucumber,and pepper,with a negative correlation between leaf angle and light interception. Short petioles in cucumber and tomato cultivars were beneficial for light interception,while pepper cultivars with wide-elliptical leaves were favorable for light interception. Compared to traditional methods of obtaining architectural parameters,the 3D digital technology used in this study provides a rapid and visual approach for plant architecture evaluation and analysis.

Key words: vegetable, 3D digitization, plant architecture parameters, light interception, correlation analysis