https://www.ahs.ac.cn/images/0513-353X/images/top-banner1.jpg|#|苹果
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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
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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

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

• 栽培·生理生化 • 上一篇    下一篇

基于3D技术分析蔬菜作物株型与光截获的相关性

鞠青青1,2, 王小丽1, 郑秀国2,3, 王取红4, 朱慧郅5, 钱婷婷2,3,*()   

  1. 1 上海师范大学生命科学学院,上海 200234
    2 上海市农业科学院农业科技信息研究所,上海 201403
    3 农业农村部长三角智慧农业技术重点实验室,上海 201403
    4 上海正义园艺有限公司,上海 201112
    5 上海市闵行区农业技术服务中心,上海 201199
  • 收稿日期:2024-12-17 修回日期:2025-06-10 出版日期:2025-10-25 发布日期:2025-10-28
  • 通讯作者:
  • 基金资助:
    上海市科技兴农技术创新项目(2023-02-08-00-12-F04621)

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 Published:2025-10-25 Online:2025-10-28

摘要:

解析作物株型结构与冠层光截获的相关性对于精确育种和栽培研究具有重要意义。利用三维数字化仪获取了5种蔬菜作物30个品种的株型参数,提取和比较分析了节间长度、叶柄长、叶长、叶宽、叶倾角等株型参数的品种差异,构建了5种蔬菜作物的单株和群体三维模型,并基于三维模型进行群体冠层光截获计算。采用多元线性回归方法开展了株型参数与冠层光截获量的相关性分析。结果表明,番茄、南瓜、茄子、黄瓜品种间叶倾角均存在明显差异,黄瓜品种间节间长度差异明显,辣椒品种间节间长度和叶柄长差异明显。光截获计算结果显示,番茄、黄瓜、茄子、辣椒品种间光截获量均有显著差异。其中,叶倾角是影响番茄、黄瓜、辣椒光截获量的关键因素,与光截获呈负相关;黄瓜、番茄短叶柄和辣椒宽椭圆形叶片有利于光截获。与传统株型参数获取方法相比,三维数字化技术为株型的评价与分析提供了一种快捷且可视化的手段。

关键词: 蔬菜, 三维数字化, 株型参数, 光截获, 相关性分析

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