Evaluation of the N₂O emissions from N in plant residues as affected by environmental and management factors

A review of the N₂O-N emission from crop residues was conducted based on new data published during the last decade. The result indicated that factors as type of crop, biochemical quality of residues, agricultural management, climate and season of the year, soil properties and soil moisture play a significant role in the rate of N₂O-N emissions. An emission factor (EF) equal to 1.055% of N applied in plant residues - derived from a simple linear regression of emitted N₂O-N (kg ha-¹) on N applied in crop residues (kg ha-¹) - represent an estimate that explains about 60% of emission variations. However, the EF of N applied in plant residues is not a constant but a variable coefficient that depends on environmental and management variables. The following two linear models - that estimate emitted N₂O-N (kg ha-¹) as a function of the variables N (kg ha-¹) applied in plant residues (NPR), rain (mm), temperature (°C) and temperature²(°C²) - were fitted to the dataset with 45 observations obtained from the reviewed literature. and Both models provided almost equally good statistical fit to the data, with R ²=0.832 and R ²=0.829, respectively, and most regression coefficients being significant at [graphic removed]. Because of its internal structure, the second model is more appealing as it represents N₂O-N emission as a transformation that is affected by management and environmental variables. The following expression - that correspond to the quantities in the square bracket at the right hand side of the second model - is the coefficient for the variable N applied in crop residues, and represent the emission factor as a function of application method of plant residues, rain, temperature and temperature². Standardization of research methodologies and data gathering and reporting, including kind of crop, N content of applied residues, agricultural management, length of the measuring period, climate, soils properties, soil temperature and water content, would facilitate further advances in studies oriented to increase the precision of N₂O-N emission estimates.