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Temperature- and Radiation-Based Models for Predicting SpatialGrowth of Purple Nutsedge (Cyperusrotundus)

Published online by Cambridge University Press:  20 January 2017

Ran Nisim Lati ,
Sagi Filin  and
Hanan Eizenberg
Ran Nisim Lati*
Affiliation:
Mapping and Geo-Information Engineering, Technion-Israel Institute of Technology, Haifa, Israel
Sagi Filin
Affiliation:
Mapping and Geo-Information Engineering, Technion-Israel Institute of Technology, Haifa, Israel
Hanan Eizenberg
Affiliation:
Department of Weed Research and Plant Pathology, Agricultural Research Organization, Newe Ya'ar Research Center, Israel
*
Corresponding author's E-mail: ranlati@tx.technion.ac.il
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Abstract

Purple nutsedge is a troublesome C4 weed, characterized by highphotosynthetic efficiency, compared to C3 weeds. As its dispersalis based on vegetative growth, accurate prediction of its growth could helpin arriving at favorable management decisions. This article details thedevelopment and validation of predictive models of purple nutsedge spatialgrowth, based on temperature (thermal model), and temperature and radiation(photothermal model) measurements. Plants were grown in six experiments inthe summers of 2008, 2009, and 2010, under different temperature andradiation conditions. Results indicate that under optimal temperatures,radiation becomes the main growth-limiting factor, and is highly related tothe final leaf-cover area (R2 = 0.89). Comparison of the thermal and photothermal modelsshowed that under all conditions, including varied temperature andradiation, the photothermal model performs significantly better, withdifferences in root-mean-square error values reaching up to 0.073, comparedto 0.195 with the thermal model. Validation experiments confirmed theability of the photothermal model to predict purple nutsedge spatial growthaccurately.

Keywords

Purple nutsedge, Cyperus rotundus L. CYPROTemperaturephotosynthetically active radiationeffective degree dayprediction modelleaf-cover area

Information

Type
Weed Biology and Ecology
Information
Weed Science , Volume 59 , Issue 4 , December 2011 , pp. 476 - 482
Copyright
Copyright © Weed Science Society of America 

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