Three dairy farm systems in China and New Zealand (NZ) varying in intensity based on level of use of brought-in crop feeds were selected from surveyed data. Nitrogen (N) emissions were estimated using country-specific N and life cycle assessment models. Milk production per cow increased with increased use of grain-based feeds but there was no whole-system difference in energy and land use resource efficiency. The N footprint (∑reactive-N emissions kg-1 milk for cradle-to-farm-gate) was 1.3-2.3 times higher for the housed-cow Chinese farm systems than the year-round pasture-grazing NZ farm systems, associated with greater emissions of all forms of reactive-N. It decreased with increased feed use in both countries, mainly due to decreased ammonia emissions. In NZ the N loss to water kg-1 milk increased due to the contribution from feed crops. The source of feed was an important determinant of environmental impacts, and changing to low N-footprint feeds decreased the N footprint of milk by up to 10% in both countries. However, manure management was the dominant contributor to the N footprint for all farms, and particularly in China. Mitigation analysis showed the potential to decrease the N footprint of milk by over 30% with improved manure management practices, particularly from utilizing manure that is currently discharged. The largest mitigation potential (up to -25%) in NZ was from ceasing N fertilizer use on pasture and relying on clover N2 fixation. Scenario analysis for late-autumn/winter housing of cows in NZ decreased N loss to water but greatly increased ammonia emissions, resulting in an increase in N footprint of up to 21%. Thus, while feed and manure management are key to reducing the N footprint of milk in both countries, the largest reduction opportunities require focus on system-specific hot-spots of N emissions.
Ledgard, S. F., Wei, S., Wang, X., Falconer, S., Zhang, N., Zhang, X., & Ma, L. (2019). Nitrogen and carbon footprints of dairy farm systems in China and New Zealand, as influenced by productivity, feed sources and mitigations. Agricultural Water Management, 213, 155–163. doi:10.1016/j.agwat.2018.10.009