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The objective of this research was to explore the influence that weed decision threshold (dt We conclude that the economic underpinning of the threshold concept is deceptive and does not provide a base for rational use of weed control in the long term. Expressed as plants m 2), weed spatial distribution patterns, and spatial resolution of sampling.

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As an extension of weed threshold models in which crop losses are based on weed density, an altemative model for grass weeds in cereal crops is proposed that incorporates the theoretical. Even with herbicide rates adjusted to compensate for soil properties there is a weed density effect on herbicide activity, with herbicide efficacy (success) decreasing with increasing weed density. Threshold concepts in weed science refer to the critical levels of weed infestation or density that trigger the need for control measures.