Paper
1 July 2003 Growth analytic simulation of soybean and winter wheat crops under different doses of UV-B irradiance
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Proceedings Volume 4896, Ultraviolet Ground- and Space-based Measurements, Models, and Effects II; (2003) https://doi.org/10.1117/12.466190
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
A decrease in stratospheric ozone would lead to increases in Ultraviolet-B irradiances reaching the earth’s surface. The effect of UV-B enhancements on plants includes reduction in grain yield, alteration in species competition, decrease in photosynthetic activity, susceptibility to disease, and changes in plant structure and pigmentation. A substantial number of studies have been conducted that have evaluated the potential consequences of an increase in UV-B radiation on many plants, but there are few studies that consider the changes of plant growth curve under increased UV-B radiation. This study evaluated availability of the four existing plant growth models under ambient level of UV-B radiation and supplemental UV-B radiation for soybean and winter wheat plants. Both of the Monomolecular and Divided simulation models proved not suitable for use in simulating plant growth under supplemental UV-B radiation. The Logistic model can be used to simulate plant growth in early growing stages and in the condition of Ck and T1 while the Gompertz model simulates plant growth better under T2 and T3 for soybean crop. For winter wheat crop, both of the Logistic and Gompertz models can be used to simulate plant growth under supplemental UV-B treatments.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Youfei Zheng, Wei Gao, James R. Slusser, Yuhong He, and Richard H. Grant "Growth analytic simulation of soybean and winter wheat crops under different doses of UV-B irradiance", Proc. SPIE 4896, Ultraviolet Ground- and Space-based Measurements, Models, and Effects II, (1 July 2003); https://doi.org/10.1117/12.466190
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KEYWORDS
Data modeling

Lamps

Ozone

Meteorology

Radiotherapy

Statistical modeling

Agriculture

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