Plant Height Simulation Model and Growth Visualization of Reviving Winter Wheat

LI Shu-qin; ZHU Ye-ping; LIU Hai-long; LI Shi-juan; LIU Sheng-ping; ZHANG Hong-ying; GAO Wei

doi:10.19303/j.issn.1008-0384.2017.06.018

Volume 32 Issue 6

Aug. 2017

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Article Navigation > Fujian Journal of Agricultural Sciences > 2017 > 32(6): 670-675

LI Shu-qin, ZHU Ye-ping, LIU Hai-long, LI Shi-juan, LIU Sheng-ping, ZHANG Hong-ying, GAO Wei. Plant Height Simulation Model and Growth Visualization of Reviving Winter Wheat[J]. Fujian Journal of Agricultural Sciences, 2017, 32(6): 670-675. doi: 10.19303/j.issn.1008-0384.2017.06.018

Citation:

LI Shu-qin, ZHU Ye-ping, LIU Hai-long, LI Shi-juan, LIU Sheng-ping, ZHANG Hong-ying, GAO Wei. Plant Height Simulation Model and Growth Visualization of Reviving Winter Wheat[J]. Fujian Journal of Agricultural Sciences, 2017, 32(6): 670-675. doi: 10.19303/j.issn.1008-0384.2017.06.018

Citation:

LI Shu-qin, ZHU Ye-ping, LIU Hai-long, LI Shi-juan, LIU Sheng-ping, ZHANG Hong-ying, GAO Wei. Plant Height Simulation Model and Growth Visualization of Reviving Winter Wheat[J]. Fujian Journal of Agricultural Sciences, 2017, 32(6): 670-675. doi: 10.19303/j.issn.1008-0384.2017.06.018

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Plant Height Simulation Model and Growth Visualization of Reviving Winter Wheat

doi: 10.19303/j.issn.1008-0384.2017.06.018

1.
Information Center, North China University of Technology, Beijing 100144, China
2.
Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-Information Service Technology, Ministry of Agriculture, Beijing 100081, China
3.
Institute of Agricultural Resources and Environment Sciences, Tianjin Academy of Agricultural Sciences, Tianjin 300192, China

Received Date: 2016-12-22
Rev Recd Date: 2017-04-06
Publish Date: 2017-06-28

Abstract

Abstract

A mathematic model that can reliably simulate the growth of wheat would facilitate the management, production forecast and economic analysis for the farming operation. Thus, field experiments were conducted to generate data for establishing such a model. After winter dormancy and spring reviving, the growth (plant height) of 3 varieties of wheat, i.e., Hengguan 35 (Hg35), Jimai 22 (Jm22) and Heng 4399 (H4399), under varied nitrogen levels in relation to the effective accumulated atmosphere temperature during 2015-2016 was monitored. Subsequently, the logistic equations obtained were validated with data collected from separate experiments to show the plant height prediction by the models to be 0.01-2.72 cm on the absolute error, 0.4-1.26 cm on RMSE, 0.36-1.11cm on d_a, and 1.32%-3.46% on d_ap. It appeared that the models were accurate in simulating the growth of the 3 varieties of winter wheat. Based on the models, as well as relevant information gathered previously, virtual visualization of the morphology and dynamic growth process of the winter wheat was now realized.
- winter wheat,
- effective accumulated temperature,
- plant height simulation model,
- growth visualization

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References(16)

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