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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (24): 19-24.doi: 10.11924/j.issn.1000-6850.casb15010229

所属专题： 水稻

• 农学 农业基础科学 • 上一篇    下一篇

水稻叶色RGB组分与SPAD的关系研究

龚刚猛1,杨 珺2,何火娇2,汪丽萍3,杨红云2,姜允志2   

  1. (1江西农业大学计算机与信息工程学院,南昌 330045；2江西农业大学软件学院,南昌 330045；3江西农业大学信息中心,南昌 330045）
  • 收稿日期:2015-01-29 修回日期:2015-07-16 接受日期:2015-03-25 出版日期:2015-08-26 发布日期:2015-08-26
  • 通讯作者: 何火娇
  • 基金资助:
    国家自然科学基金项目“基于生理生态水稻叶色建模及可视化仿真”(61363041)，“基于生理生态的虚拟水稻三维动态建模及可视化表达”(60963013)；江西省教育厅科技项目“基于图像处理水稻叶片活体几何参数测量系统的研究”(GJJ11712)。

The Relationship Between Leaf Color Components RGB and SPAD

Gong Gangmeng1, Yang Jun2, He Huojiao2, Wang Liping3, Yang Hongyun2, Jiang Yunzhi2   

  1. (1College of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang 330045;2College of Software,Jiangxi Agricultural University, Nanchang 330045;3Information Center of Jiangxi Agricultural University, Nanchang 330045)
  • Received:2015-01-29 Revised:2015-07-16 Accepted:2015-03-25 Online:2015-08-26 Published:2015-08-26

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摘要： 为在计算机上实现水稻叶片颜色的虚拟显示，建立水稻叶片颜色R(red) G(green) B(blue)组分随叶片叶绿素相对含量SPAD值动态变化的模拟模型。本研究以生产上推广的‘金优458’和‘中嘉早35’ 2个水稻品种的主茎叶色为研究对象，分别研究了2个水稻品种的叶绿素SPAD值随生育进程的动态变化规律和叶色RGB组分与SPAD值间的关系，并用Microsoft Excel软件进行了曲线拟合。研究结果表明，2个不同的水稻品种在返青至抽穗期内，SPAD值随有效积温的增加而增大，两者近似线性关系；SPAD值在20~50范围内，叶片的RGB组分与SPAD值也呈线性关系，并由拟合的曲线得到了叶色R、G、B与SPAD的水稻叶色模拟模型。通过对模型的检验，其RMSE均方根差值分别为4.56、4.73和3.55，它们之间呈极显著相关性；表明该模型可以用SPAD值的动态变化来描述水稻叶色的变化过程。

关键词: 月季, 月季, 双胚珠, 单心皮, 胚挽救

Abstract: In order to achieve the virtual display of rice leaf color on the computer, it needs to build the dynamic simulation model of rice leaf color components RGB with chlorophyll content SPAD values. This article mainly discussed about the main stem leaves of two varieties jy458 and zjz35 AS, which were taken as the research objects. It studied the dynamic variation of SPAD values of two rice varieties with the rice growth process and the relationship between RGB and SPAD; then conducted fitting curve with mapping software Microsoft Excel. The results showed that SPAD values of two varieties increased with the effective accumulated temperature, and there was approximate linear relationship between SPAD and the effective accumulated temperature from turning green to heading stage. Leaf components RGB and SPAD presented linear relationship when SPAD values in the range of 20-50. We obtained the relational model by fitting curve of rice RGB and SPAD values. The model was validated and the average RMSEs were 4.56, 4.73, and 3.55. The results indicate that the present model has highly significant correlation. So the results show the model can describe dynamically the changing process of rice leaf color.