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Estimating economic thresholds for site-specific weed control using manual weed counts and sensor technology: an
Martina Keller1, Christoph Gutjahr, Jens Möhring
1Department of Weed Science, University of Hohenheim, Institute for Phytomedicine, Germany.
Pest Management Science
|April 5, 2013
Summary
Precision experimental design in winter wheat accurately estimated weed impact on yield, establishing economic thresholds for site-specific weed control. This approach aids farmers in making informed decisions for effective weed management.
Area of Science:
- Agricultural Science
- Agronomy
- Crop Science
Background:
- Precision experimental design integrates sensor technology and linear mixed models to analyze field heterogeneity.
- It estimates the impact of weeds, soil properties, and herbicides on crop yield, enabling economic threshold determination.
- Three field trials in winter wheat utilized this design, incorporating manual sampling, bi-spectral cameras, yield mapping, and soil property analysis.
Purpose of the Study:
- To present a novel approach for conducting agricultural field trials.
- To derive practical decision rules for weed control in farmers' fields.
- To assess the efficacy of precision experimental design in winter wheat cultivation.
Main Methods:
- Utilized precision experimental design in winter wheat field trials.
- Employed manual sampling and bi-spectral cameras for weed density assessment.
- Mapped yield and soil properties, applying linear mixed models to analyze data.
Main Results:
- Identified yield reductions caused by specific weeds (Galium aparine, broad-leaved weeds, Alopecurus myosuroides) and established control thresholds.
- Observed that spring drought mitigated weed effects on yield due to water limitation.
- Bi-spectral cameras showed potential for identifying large weed patches but require further refinement for accurate weed counting.
Conclusions:
- Introduced a new methodology for field trials and deriving weed control decision rules.
- Demonstrated the utility of precision experimental design for site-specific weed management in agriculture.
- Highlighted the need for continued development of sensor technologies for weed assessment.