The impact of different fertiliser management options and cultivars on nitrogen use efficiency and yield for rice cropping in the Indo-Gangetic Plain: Two seasons of methane, nitrous oxide and ammonia emissions

IF 6 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Arti Bhatia , Nicholas J. Cowan , Julia Drewer , Ritu Tomer , Vinod Kumar , Shikha Sharma , Ankita Paul , Niveta Jain , Sandeep Kumar , Girish Jha , Renu Singh , Radha Prasanna , Balasubramanium Ramakrishnan , Sanjoy K. Bandyopadhyay , Dinesh Kumar , Mark A. Sutton , Himanshu Pathak
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引用次数: 2

Abstract

This study presents detailed crop and gas flux data from two years of rice production at the experimental farm of the ICAR-Indian Agricultural Research Institute, New Delhi, India. In comparing 4 nitrogen (N) fertiliser regimes across 4 rice cultivars (CRD 310, IR-64, MTU 1010, P-44), we have added to growing evidence of the environmental costs of rice production in the region. The study shows that rice cultivar can impact yields of both grain, and total biomass produced in given circumstances, with the CRD 310 cultivar showing consistently high nitrogen use efficiency (NUE) for total biomass compared with other tested varieties, but not necessarily with the highest grain yield, which was P-44 in this experiment. While NUE of the rice did vary depending on experimental treatments (ranging from 41% to 73%), 73%), this did not translate directly into the reduction of emissions of ammonia (NH3) and nitrous oxide (N2O). Emissions were relatively similar across the different rice cultivars regardless of NUE. Conversely, agronomic practices that reduced total N losses were associated with higher yield. In terms of fertiliser application, the outstanding impact was of the very high methane (CH4) emissions as a result of incorporating farmyard manure (FYM) into rice paddies, which dominated the overall effect on global warming potential. While the use of nitrification and urease inhibiting substances decreased N2O emissions overall, NH3 emissions were relatively unaffected (or slightly higher). Overall, the greatest reduction in greenhouse gas (GHG) emissions came from reducing irrigation water added to the fields, resulting in higher N2O, but significantly less CH4 emissions, reducing net GHG emission compared with continuous flooding. Overall, genetic differences generated more variation in yield and NUE than agronomic management (excluding controls), whereas agronomy generated larger differences than genetics concerning gaseous losses. This study suggests that a mixed approach needs to be applied when attempting to reduce pollution and global warming potential from rice production and potential pollution swapping and synergies need to be considered. Finding the right balance of rice cultivar, irrigation technique and fertiliser type could significantly reduce emissions, while getting it wrong can result in considerably poorer yields and higher pollution.

不同施肥管理方案和品种对印度恒河平原水稻氮素利用效率和产量的影响:两个季节的甲烷、氧化亚氮和氨排放
这项研究提供了印度新德里ICAR印度农业研究所试验农场两年水稻生产的详细作物和气体通量数据。在比较4个水稻品种(CRD 310、IR-64、MTU 1010、P-44)的4种氮肥制度时,我们为该地区水稻生产的环境成本提供了越来越多的证据。研究表明,在特定情况下,水稻品种会影响粮食产量和总生物量,与其他试验品种相比,CRD310品种的总生物量氮利用效率(NUE)一直很高,但不一定是最高的粮食产量,在本试验中为P-44。虽然水稻的NUE确实因实验处理而异(从41%到73%不等,73%),但这并不能直接转化为减少氨(NH3)和一氧化二氮(N2O)的排放。不同水稻品种的排放量相对相似,与NUE无关。相反,减少总氮损失的农艺措施与更高的产量有关。在化肥施用方面,突出的影响是将农家肥(FYM)掺入稻田后产生的甲烷(CH4)排放量非常高,这主导了对全球变暖潜力的总体影响。虽然硝化和脲酶抑制物质的使用总体上减少了N2O排放,但NH3排放相对未受影响(或略高)。总的来说,温室气体排放的最大减少来自于减少农田灌溉用水,导致N2O增加,但CH4排放显著减少,与持续洪水相比,减少了温室气体净排放。总体而言,与农艺管理(不包括对照)相比,遗传差异在产量和NUE方面产生了更多的变化,而与气体损失相比,农艺产生了更大的差异。这项研究表明,在试图减少水稻生产带来的污染和全球变暖潜力时,需要采用混合方法,并需要考虑潜在的污染交换和协同作用。在水稻品种、灌溉技术和肥料类型之间找到正确的平衡可以显著减少排放,而错误的平衡可能会导致产量大幅下降和污染加剧。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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