Multivariate analysis using a discriminant method for evaluating the techniques of weed management in soybean crop

Abstract Background:  The analysis of information generated from experiments involving different treatments, can be done by multivariate statistical analysis techniques, such as discriminant analysis, to analyze data obtained from predefined groups. Objective:  Verify, through discriminant analysis, the differences among cover crop (Avena strigosa, Chenopodium quinoa, Cichorium intybus, and fallow land) treatments with respect to main crop soybean yield. Methods:  For weed control, these cover crops were subjected to different management techniques, namely mowing, the application of glyphosate or the application of [...]