Abstract:

The study focused on weed management in summer season foxtail millet field by evaluating the weed damage and exploring competition between weeds and foxtail millet, a few fitting models were simulated and compared by employing field plot experiment and nonlinear regression analysis. The results showed that, the millet yield losses and weed density were highly significantly correlated. Among the tested models, the determination coefficient (R2) of hyperbolic model was 0.99712, and minimum sum of squared residuals was 16.174, which was considered the optimal model to simulate the competition relation between weeds and millet. The Predicted equation was Y=d/(1.733+0.018d). The competitiveness between weed species was 0.5770, within the species was 0.0103. The maximum millet yield loss was 55.56%. This study has established a prediction model with high goodness-of-fit and practical prediction which could help weed management in summer season millet field.