Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (1): 215-224.doi: 10.3864/j.issn.0578-1752.2013.01.025

• RESEARCH NOTES • Previous Articles    

Dynamic Simulation on Leaf Curve in Rice Based on Gaussian Function

 ZHANG  Yong-Hui, TANG  Liang, LIU  Xiao-Jun, LIU  Lei-Lei, CAO  Wei-Xing, ZHU  Yan   

  1. College of Agriculture, Nanjing Agricultural University/National Engineering and Technology Center for Information Agriculture/Jiangsu Key Laboratory for Information Agriculture, Nanjing 210095
  • Received:2012-08-15 Online:2013-01-01 Published:2012-10-09

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Abstract: 【Objective】 The dynamic changes in leaf curve of rice under different nitrogen levels were analyzed using Gaussian function. 【Method】Based on rice pot experiments involving different years and nitrogen levels, a 3-D laser scanner was used to measure the spatial coordinate data of leaf curve at different leaf positions on main culm of rice under different nitrogen levels, then dynamic modeling technology was used to build the model of leaf curve changes at different leaf positions on main culm in rice. 【Result】 The results indicated that the angle between the end of leaf curve and positive direction of y-axis (AH) increased with growth degree days on the trend of slow-fast-slow, which could be described with the Logistic function. From the first leaf to the seventh leaf, the maximum value of AH increased with increasing leaf position, and then decreased with increasing leaf position. The significant linear relationship could be observed between sheath-leaf angle∠BFC and AH. The logistic equations were used to describe the changes of AH and the model parameter Sm in leaf curve model with growth degree day (GDD), respectively. The piecewise function was applied to describe the change of maximum AH with leaf position. A variety parameter (AH of the seventh leaf position on main culm in rice under optimal nitrogen conditions) and nitrogen factor were introduced to quantify the effects of variety and nitrogen rate on leaf drooping degree, respectively. Model validation with independent field experiment data showed that the average value of LTS-HD (least trimmed squares Hausdorff distances) between observed and predicted curve are less than 0.88 cm and 1.18 cm at tilling and jointing stages, respectively. 【Conclusion】 The model showed a good predictability for spatial dynamic change of leaf curve on main culm under different nitrogen rates during main growth stages in rice. These results would provide a technical support for visualization of leaf and plant in rice.

Key words: rice , leaf curve , dynamic simulation , Gaussian function

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