| To clarify the current status of the county′s maize production system and to develop synergistic optimization strategies for yieldeconomic-carbon emissions, this study quantified the carbon footprint of maize production using life cycle assessment（LCA）based on farm household survey data. It also used data envelopment analysis（DEA）to assess the theoretical optimization potential of yield-economycarbon emissions within the county′s maize production system by integrating input and output data. The results showed that the inputs of N, P2O5, K2O, pesticides, diesel, and seeds were 279.2, 127.3, 115.1, 6.5, 80.3, and 31.9 kg·hm-2, respectively. The electricity input was 244.3 kWh·hm-2. The corresponding outputs included yield, net economic profit, and carbon footprint were 7 784.7 kg·hm-2, 9 306.6 yuan·hm-2, and 5.9 t CO2-eq·hm-2, respectively. By implementing management practices and intervention plans that set the application rates of N, P2O5, K2O, pesticides, and seeds at 248.1, 96.9, 91.0, 5.6, and 30.3 kg · hm-2, respectively, the maize production system achieved input reductions ranging from 5.1%-27.5%. At the same time, net economic profit and yields increased by 42.1% and 19.9%, respectively, while the carbon footprint was reduced by 18.3%. Therefore, the development of fertilizer, pesticide, and seeding management measures and implementation plans can achieve synergistic optimization of yield-efficiency-carbon emission reduction in the county ′ s maize production system, which is conducive to the transition of agriculture to sustainable production. |
