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Calibration and validation of a common lambsquarters (Chenopodium album) seedling emergence model

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, P.O. Box 222, Ste-Anne-de-Bellevue, QC, Canada H9X 3R9
Katrine A. Stewart
Affiliation:
Department of Plant Sciences, McGill University, 21111 Lakeshore, Ste-Anne-de-Bellevue, QC, Canada H9X 3V9
Chantal Hamel
Affiliation:
Agriculture and Agri-Food Canada, P.O. Box 1030, Swift Current, SK, Canada S9H 3X2
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Abstract

Studies were conducted to calibrate and validate a mathematical model previously developed to predict common lambsquarters seedling emergence at different corn seedbed preparation times. The model was calibrated for different types of soil by adjusting the base temperature of common lambsquarters seedling emergence to the soil texture. A relationship was established with the sand mineral fraction of the soil and was integrated into the model. The calibrated model provided a good fit of the field data and was accurate in predicting cumulative weed emergence in different soil types. The validation was done using data collected independently at a site located 80 km from the original experimental area. There were no differences between observed and predicted values. The accuracy of the model is very satisfactory because the emergence of common lambsquarters populations was accurately predicted at the 95% probability level. This model is one of the first to take into consideration seedbed preparation time and soil texture. This common lambsquarters emergence model could be adapted to model other weed species whose emergence is limited by low spring temperature.

Keywords

Common lambsquarters, Chenopodium album L. CHEALcorn, Zea mays L. ‘Pioneer 3921’Degree-daysthermal timethermal unitsheat sumtemperature
Type
Weed Biology and Ecology
Information
Weed Science , Volume 52 , Issue 1 , February 2004 , pp. 61 - 66
Copyright
Copyright © Weed Science Society of America 

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