Abstract: At the spatial scale, non-point source pollution load estimation of planting system can be divided into field scale, watershed scale, and regional scale. The national scale belongs to regional scale, which is an important scale for understanding the general situation of non-point source pollution from the planting system in the entire country, testing the effectiveness of non-point source pollution control measures, and predicting the trend of non-point source pollution. This paper reviews the research methods of non-point source pollution load estimation from planting system at the national scale. These methods mainly include export coefficient method, improved export coefficient method, multiple regression method, Bayesian recursive regression tree, and progress module. Then the estimated results of these methods were compared. The estimated nitrogen runoff was between 0.30-2.40 Tg, nitrogen leaching was between 0.36-2.03 Tg, and phosphorus runoff was between 3.5-6.37 Mg in planting system of China. There are two main problems existed: 1) for source emissions process, these methods do not distinguish between background emissions and fertilizer emissions, and between multiple crops a year in South China; 2) for retention process, these models do not fully consider removal process along the pathway. Finally, it is proposed that the non-point source pollution load estimation for planting system at national scale should further detail the output coefficients of each land use, distinguish between background emissions and fertilizer emissions, take into account the regional differences in ripening system, and consider removals along the pathway from field to watershed outlet.