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The use of thermal time to model common lambsquarters (Chenopodium album) seedling emergence in corn

Published online by Cambridge University Press:  20 January 2017

Maryse L. Leblanc ,
Daniel C. Cloutier ,
Katrine A. Stewart  and
Chantal Hamel
Daniel C. Cloutier
Affiliation:
Institut de malherbologie, Ste-Anne-de-Bellevue, QC, Canada H9X 3R9
Katrine A. Stewart
Affiliation:
Department of Plant Sciences, McGill University, Ste-Anne-de-Bellevue, QC, Canada H9X 3V9
Chantal Hamel
Affiliation:
Agriculture and Agri-Food Canada, Swift Current, SK, Canada S9H 3X2
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Abstract

A mathematical model was developed to predict common lambsquarters seedling emergence in southwestern Quebec. The model was based on the thermal-time concept, using air temperatures in the double-sine calculation method. The model was built using data from five experiment-years for corn naturally infested with weed populations. Once developed, the model was calibrated using different crop seedbed preparation times. The base temperature was then adjusted for each time of seedbed preparation. A power regression function was used to relate adjusted base temperatures and the accumulated thermal units at seedbed preparation time. A modified Weibull function was then fitted to the field emergence data, expressed as the cumulative proportion of the total seedling emergence over the growing season as a function of cumulative thermal units. The simplicity and accuracy of this model would make it an excellent tool to predict common lambsquarters seedling emergence in field situations, facilitating the determination of the timing of scouting in integrated weed management systems.

Keywords

Common lambsquarters, Chenopodium album L. CHEALcorn, Zea mays L. ‘Pioneer 3921’Degree daysheat sumtemperaturethermal timethermal unitsweed emergenceweed emergence modeling
Type
Weed Biology
Information
Weed Science , Volume 51 , Issue 5 , October 2003 , pp. 718 - 724
Copyright
Copyright © Weed Science Society of America 

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