Abstract

The use of herbicide combinations is a common practice in modern agriculture. However, unexpected results may be observed due to herbicide and weed diversity, therefore, highlighting the need for a predictive strategy. To this end, a data set was made based on recent studies. This data set included herbicide attributes, such as active ingredient, chemical family, and mode of action, and weed attributes, namely, species, clade, type of leaves, family, and lifespan. Globally, additive interactions (46.30%) were more frequent than antagonistic (29.09%) and synergistic (24.61%) ones. The occurrence of these herbicide interactions with regard to herbicide and weed features is also discussed. Moreover, mesotrione and glyphosate have been, respectively, identified as the most promising or inadequate herbicides in predicting beneficial mixtures. The resulting global trend could guide farmers in their choice of beneficial herbicide companions.

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