Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Gaseous and aqueous nitrogen (N) losses from corn (maize) production systems are concerns under projected climate change. In the present study, the Root Zone Water Quality Model (RZWQM2) was used to test the ability of agricultural management practices (N application rate, corn cultivar, planting date, tillage and controlled drainage) to mitigate future climate change effects on N losses and corn yield in a subsurface drained field in Iowa, USA. Under a future downscaled climate scenario, the simulated non-constant N2O emission factor (EF), yield-scaled global warming potential and N loss through drainage increased with increasing fertilization above an optimal N rate of 120źkgźNźha-1. This rate represents the optimal tradeoff point beten environmental issues and economic returns. While yields of the cultivar IB1068 DEKALB declined with climate change, yields of cultivar, IB 0090źGL 482 in the future climate re greater than historical yields of IB 1068 DEKALB. N2O emissions increased non-linearly with increased N fertilization rate.Emission factor ranged from 1.85 to 2.50 with N rates of 0-300źkgźNźha-1.The optimal N fertilization rate was 120źkgźNźha-1.Yields of cultivar, IB 0090 GL 482 in the future climate re greater than historical yields of IB 1068 DEKALB.
['Zhaozhi Wang', 'Zhiming Qi', 'Lulin Xue', 'Melissa Bukovsky']
I am writing a research paper on a idea RZWQM2 simulated management practices to mitigate climate change impacts on nitrogen losses and corn production
[{"from": "human", "value": "I am writing a research paper on a idea RZWQM2 simulated management practices to mitigate climate change impacts on nitrogen losses and corn production"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Gaseous and aqueous nitrogen (N) losses from corn (maize) production systems are concerns under projected climate change. In the present study, the Root Zone Water Quality Model (RZWQM2) was used to test the ability of agricultural management practices (N application rate, corn cultivar, planting date, tillage and controlled drainage) to mitigate future climate change effects on N losses and corn yield in a subsurface drained field in Iowa, USA. Under a future downscaled climate scenario, the simulated non-constant N2O emission factor (EF), yield-scaled global warming potential and N loss through drainage increased with increasing fertilization above an optimal N rate of 120\u017akg\u017aN\u017aha-1. This rate represents the optimal tradeoff point beten environmental issues and economic returns. While yields of the cultivar IB1068 DEKALB declined with climate change, yields of cultivar, IB 0090\u017aGL 482 in the future climate re greater than historical yields of IB 1068 DEKALB. N2O emissions increased non-linearly with increased N fertilization rate.Emission factor ranged from 1.85 to 2.50 with N rates of 0-300\u017akg\u017aN\u017aha-1.The optimal N fertilization rate was 120\u017akg\u017aN\u017aha-1.Yields of cultivar, IB 0090 GL 482 in the future climate re greater than historical yields of IB 1068 DEKALB."}]