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Mastering Threshold Concepts in Weed Science Threshold concepts in weed science refer to the critical levels of weed infestation or density that trigger the need for control measures These thresholds are essential because they help farmers and agronomists make informed decisions about when to implement weed control strategies, thereby optimizing crop yields and reducing unnecessary
ESTABLISHING TOLERANCE LEVELS (“ACTION THRESHOLDS”) Tolerance levels or action thresholds can be developed for agricultural crops by studying the effect of an insect or pathogen or weed on the ultimate yield of the crop These studies look at several different population densities and measure the ultimate yield
Level of threshold weed density does not affect the long-term . . . Weed control thresholds are often presented as a means to reduce unnecessary control measures, thereby increasing the effectiveness of weed management While the threshold is a useful tool for cost-effective application of control on a single-year base, its role over the longer term is more complicated It is shown that long-term application of thresholds results in a control frequency that is
An Imagery-Based Weed Cover Threshold Established Using . . . The authors concluded that multispecies weed thresh- (e g , competitive- olds are complex to implement ness with the crop and herbicide efficacy at lower rates vary considerably across weed species), but are necessary since single-species infestations are rare in
Spatial weed distribution: Can it be used to improve weed . . . If a patchy weed infestation increased the expected yield loss compared to a uniform infestation, threshold models would recommend leaving a weed infestation that might result in yield losses exceeding the cost of control
Economic Threshold Weed Control Farming: Smart Decision Guide Economic threshold weed control farming represents a science-based approach that helps farmers determine when weed populations justify the cost of control measures Rather than applying herbicides on a calendar schedule, this method evaluates weed density, crop stage, and treatment costs to make profitable decisions Understanding these thresholds can reduce input costs by 15-30% while