《植物生理学报》 2014, 50(3): 297-302

温室盆栽金鱼草叶面积指数形成模拟模型

陈友根¹, 秦琳琳², 王国伟¹, 方鹏¹, 王冬良^1,*

1安徽农业大学园艺学院, 合肥230036; 2中国科学技术大学自动化系, 合肥230027

通信作者：王冬良；E-mail: wangdongliang@ahau.edu.cn；Tel: 0551-65786212

摘　要：

以温室中生长的金鱼草品种‘泛美夏粉’为研究对象, 依据盆栽金鱼草叶片生长与光温环境的关系, 构建了适合温室金鱼草叶面积指数模拟模型, 并用独立试验数据对模型进行了检验, 旨在提高温室金鱼草生长和蒸腾模型精度和适用性。结果表明, 金鱼草出叶数与出苗后累积辐热积呈指数函数关系; 叶片长度与出叶后累积辐热积呈负指数函数关系; 金鱼草出叶数、叶片长度和叶面积指数的模拟结果与实测值基于1:1直线间的决定系数R2分别为0.98、0.93、0.99, 其回归估计标准误RMSE分别为2.6、0.33 cm、0.17。本研究建立的模型能够较准确地预测温室盆栽金鱼草叶面积指数动态, 参数少且易获取、实用性强。

关键词：金鱼草; 光合有效辐射; 温度; 模拟模型; 叶面积指数

收稿：2013-10-30   修定：2013-12-18

资助：国家自然科学基金(31000672)

Model for Simulating Formation of Leaf Area Index of Pot Planted Antirrhinum majus Grown in Greenhouse

CHEN You-Gen¹, QIN Lin-Lin², WANG Guo-Wei¹, FANG Peng¹, WANG Dong-Liang^1,*

1College of Horticulture, Anhui Agricultural University, Hefei 230036, China; 2Department of Automation, University of Science and Technology of China, Hefei 230027, China

Corresponding author: WANG Dong-Liang; E-mail: wangdongliang@ahau.edu.cn; Tel: 0551-65786212

Abstract:

In order to optimize the climate management for pot planted Antirrhinum majus grown in greenhouse, a model for simulating formation of leaf area index of pot planted A. majus ‘Fanmeixiafen’ was structured according to the relation with leaf growth and photo-thermal effect. And independent experimental data were used to validate the model. The results showed that the number of unfolding leaves per plant was a positive exponential function of the product of thermal effectiveness and photosynthetically active radiation (TEP) accumulated after emergence, and the length of each leaf was a negative exponential function of the TEP accumulated after emergence. Based on the 1:1 line, the coefficient of determination (R²) and the root mean squared error (RMSE) between simulated and measured leaf number, leaf length, and leaf area index (LAI) were 0.98, 0.93, 0.99, and 2.6, 0.33 cm, 0.17, respectively. Based on the results obtained in this study, it can be concluded that the model developed can give satisfactory prediction of LAI variation of pot planted A. majus. Hence, it can be used for decision making for precision control of light and temperature in greenhouse A. majus production.

Key words: Antirrhinum majus; photosynthetically active radiation; temperature; simulation models; leaf area index