the N-P excretion of dairy cattle is first needed. Quantification of N-P is crucial because both managed and unmanaged N-P lead to environmental emissions. Mathematical models are often used to predict N-P excretion of dairy cows. Most N-P excretion models, however, are developed for dairy farming systems in developed countries, and not for smallholder systems in Indonesia. A generic model to predict N-P excretion of dairy cows on smallholder dairy farms is not available.Information on N-P excretion can subsequently be used to estimate the flows and losses of nutrients on smallholder dairy farms. Flows and losses in dairy farming systems, however, may also depend on manure management system (MMS). Different MMSs exist in smallholder dairy farms in Indonesia (de Vries et al., 2017). So far, it is unknown how nutrient flows and losses differ across systems.Furthermore, it is unknown to what extent the dairy sector contributes to the pollution of the Citarum river, being the longest river in the province of West Java (Garg et al., 2018;Yoshida et al., 2017; Kerstens et al., 2013). Though the dairy sector is presumed to contribute to the pollution of this river, its exact contribution is so far unknown.Whereas estimating N-P losses is relevant with regard to local environmental impacts such as eutrophication and contamination of drinking water, climate change happens at a global scale, and quantification of GHGE therefore requires a value chain level approach. So far, most studies that assessed GHGE on smallholder farms in tropical regions used data collected at one particular moment in time (i.e., cross-sectional observation) or used data based on farmers' recall. The climate of Indonesia, however, is characterized by a dry and a rainy season, and dairy farmers adapt their practices to these seasons, mainly with regard to feeding and manure management. Such seasonal differences can be an important source of variability in estimates of the GHGE-intensity (GHGEI)i.e. the GHGE per kg milk. Longitudinal studies could provide insight into the impact of seasonal differences on GHGEI estimates, and into the implications of the number of farm visits on the accuracy of the estimate but are currently not available.In order to reduce GHGE from dairy farms, insight into the impact of mitigation strategies is needed.An important mitigation strategy proposed is increasing milk yield per cow. This strategy is promising General introduction | 13 3 1 because there is a non-linear negative association between milk yield and GHGE per unit of milk output (Gerber et al., 2011). However, this strategy often appears difficult to adopt at smallholder dairy farms because it requires a combination of improving feed supply and quality, improving animal health and cow fertility, and improving genetic potential. Therefore, alternative strategies for mitigating GHGE are required. So far, however, strategies to reduce GHGE from smallholder dairy farms in Indonesia beyond milk yield increases are unexplored.Proper manure management is presently no...