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A Population Level Temperature-Dependent Model of Seedling Johnsongrass (Sorghum halepense) Flowering

Published online by Cambridge University Press:  12 June 2017

David C. Bridges  and
James M. Chandler
David C. Bridges
Affiliation:
Dep. Agron., Univ. Georgia, Griffin, GA 302231797
James M. Chandler
Affiliation:
Dep. Agron., Univ. Georgia, Griffin, GA 302231797
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Abstract

A population level, two-compartment, temperaturedependent model that predicts date of seedling johnsongrass flowering was formulated. The model consisted of a fourparameter poikilotherm rate equation to describe development rate as a function of temperature and a temperature-independent Weibull function to distribute flowering times for the population. Experiments were conducted to determine the effect of temperature, nitrogen availability, and water availability on development of seedling johnsongrass. Development was most sensitive to temperature while the effect of nitrogen concentration and water availability was minimum and inconsistent. The model was tested against three independent field data sets and provided accurate prediction of flowering dates for each data set.

Keywords

Johnsongrass, Sorghum halepense (L.) Pers. ♯3 SORHADistributionphenologypoikilothermsimulationtemperaturerateSORHA
Type
Special Topics
Information
Weed Science , Volume 37 , Issue 3 , May 1989 , pp. 471 - 477
Copyright
Copyright © 1989 by the Weed Science Society of America 

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