| Literature DB >> 29054672 |
Yitao Zhang1, Hongyuan Wang2, Qiuliang Lei2, Jiafa Luo3, Stuart Lindsey3, Jizong Zhang2, Limei Zhai2, Shuxia Wu2, Jingsuo Zhang4, Xiaoxia Liu4, Tianzhi Ren5, Hongbin Liu6.
Abstract
Optimizing the nitrogen (N) application rate can increase crop yield while reducing the environmental risks. However, the optimal N rates vary substantially when different targets such as maximum yield or maximum economic benefit are considered. Taking the wheat-maize rotation cropping system on the North China Plain as a case study, we quantified the variation of N application rates when targeting constraints on yield, economic performance, N uptake and N utilization, by conducting field experiments between 2011 and 2013. Results showed that the optimal N application rate was highest when targeting N uptake (240kgha-1 for maize, and 326kgha-1 for wheat), followed by crop yield (208kgha-1 for maize, and 277kgha-1 for wheat) and economic income (191kgha-1 for maize, and 253kgha-1 for wheat). If environmental costs were considered, the optimal N application rates were further reduced by 20-30% compared to those when targeting maximum economic income. However, the optimal N rate, with environmental cost included, may result in soil nutrient mining under maize, and an extra input of 43kgNha-1 was needed to make the soil N balanced and maintain soil fertility in the long term. To obtain a win-win situation for both yield and environment, the optimal N rate should be controlled at 179kgha-1 for maize, which could achieve above 99.5% of maximum yield and have a favorable N balance, and at 202kgha-1 for wheat to achieve 97.4% of maximum yield, which was about 20kgNha-1 higher than that when N surplus was nil. Although these optimal N rates vary on spatial and temporal scales, they are still effective for the North China Plain where 32% of China's total maize and 45% of China's total wheat are produced. More experiments are still needed to determine the optimal N application rates in other regions. Use of these different optimal N rates would contribute to improving the sustainability of agricultural development in China.Entities:
Keywords: Crop yield; Economic income; Environmental cost; N uptake; N utilization; Optimal N application rate
Year: 2017 PMID: 29054672 DOI: 10.1016/j.scitotenv.2017.09.183
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963