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Integrating Economics in the Critical Period for Weed Control Concept in Corn

Published online by Cambridge University Press:  20 January 2017

Martina Keller
Affiliation:
Department of Weed Science (360b), University of Hohenheim, 70599 Stuttgart, Germany
Geoffroy Gantoli
Affiliation:
Department of Weed Science (360b), University of Hohenheim, 70599 Stuttgart, Germany
Jens Möhring
Affiliation:
Bioinformatic Unit, Institute of Crop Science, University of Hohenheim, 70599 Stuttgart, Germany
Christoph Gutjahr
Affiliation:
Department of Weed Science (360b), University of Hohenheim, 70599 Stuttgart, Germany
Roland Gerhards
Affiliation:
Department of Weed Science (360b), University of Hohenheim, 70599 Stuttgart, Germany
Victor Rueda-Ayala*
Affiliation:
Department of Weed Science (360b), University of Hohenheim, 70599 Stuttgart, Germany
*
Corresponding author's E-mail: [email protected]
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Abstract

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The effect of weed interference on corn yield and the critical period for weed control (CPWC) were determined in Germany and Benin. Treatments with weed control starting at different crop growth stages and continuously kept weed-free until harvest represented the “weed-infested interval.” Treatments that were kept weed-free from sowing until different crop growth stages represented the “weed-free interval.” Michaelis–Menten, Gompertz, logistic and log–logistic models were employed to model the weed interference on yield. Cross-validation revealed that the log–logistic model fitted the weed-infested interval data equally well as the logistic and slightly better than the Gompertz model fitted the weed-free interval. For Benin, economic calculations considered yield revenue and cost increase due to mechanical weeding operations. Weeding once at the ten-leaf stage of corn resulted already profitable in three out of four cases. One additional weeding operation may optimize and assure profit. Economic calculations for Germany determined a CPWC starting earlier than the four-leaf stage, challenging the decade-long propagated CPWC for corn. Differences between Germany and Benin are probably due to the higher yields and high costs in Germany. This study provides a straightforward method to implement economic data in the determination of the CPWC for chemical and nonchemical weed control strategies.

Type
Weed Management
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-No Derivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits noncommercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited.
Copyright
Copyright © Weed Science Society of America

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