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A model to predict the influence of temperature on rhizome johnsongrass (Sorghum halepense) development

Published online by Cambridge University Press:  20 January 2017

Enrique Rosales-Robles
Affiliation:
Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474
Hsin-i Wu
Affiliation:
Center for Biosystems Modeling, Department of Industrial Engineering, Texas A&M University, College Station, TX 77843-3131
Scott A. Senseman
Affiliation:
Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474
Jaime Salinas-García
Affiliation:
Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474

Abstract

Research was conducted to formulate a temperature-dependent population-level model to predict rhizome johnsongrass development to the four-leaf stage. A nonlinear poikilotherm rate equation was used to describe development rates as a function of temperature. Development rate was highest at 36 C and declined at higher temperatures. A temperature-independent Weibull function adequately distributed development times for the population. Coupling the poikilotherm rate equation and the Weibull distribution function yielded a model suitable for characterizing rhizome johnsongrass development to the four-leaf growth stage. The model was tested and validated against independent data sets. Model predictions of 80% of rhizome johnsongrass population at the four-leaf stage were used as the central point of a 4-d application window for using reduced rates of herbicides in johnsongrass management programs. This application window included an average interval of 85 to 99% of johnsongrass population at the desired growth stage in field validation experiments.

Type
Research Article
Copyright
Copyright © Weed Science Society of America 

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