Centre for Environment Science and Climate Resilient Agriculture, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Division of Design of Experiments, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
Environ Sci Pollut Res Int. 2021 Oct;28(37):51425-51439. doi: 10.1007/s11356-021-14210-z. Epub 2021 May 13.
Irrigated transplanted flooded rice is a major source of methane (CH) emission. We carried out experiments for 2 years in irrigated flooded rice to study if interventions like methane-utilizing bacteria, Blue-green algae (BGA), and Azolla could mitigate the emission of CH and nitrous oxide (NO) and lower the yield-scaled global warming potential (GWP). The experiment included nine treatments: T (120 kg N ha urea), T (90 kg N ha urea + 30 kg N ha fresh Azolla), T (90 kg N ha urea + 30 kg N ha Blue-green algae (BGA), T (60 kg N ha urea + 30 kg N ha BGA + 30 kg N ha Azolla, T (120 kg N ha urea + Hyphomicrobium facile MaAL69), T (120 kg N ha by urea + Burkholderia vietnamiensis AAAr40), T (120 kg N ha by urea + Methylobacteruim oryzae MNL7), T (120 kg N ha urea + combination of Burkholderia AAAr40, Hyphomicrobium facile MaAL69, Methylobacteruim oryzae MNL7), and T (no N fertilizer). Maximum decrease in cumulative CH emission was observed with the application of Methylobacteruim oryzae MNL7 in T (19.9%), followed by Azolla + BGA in T (13.2%) as compared to T control. NO emissions were not significantly affected by the application of CH-oxidizing bacteria. However, significantly lower (P<0.01) cumulative NO emissions was observed in T (40.7%) among the fertilized treatments. Highest yields were observed in Azolla treatment T with 25% less urea N application. The reduction in yield-scaled GWP was at par in T (Azolla and BGA) and T (Methylobacteruim oryzae MNL7) treatments and reduced by 27.4% and 15.2% in T and T, respectively, as compared to the T (control). K-means clustering analysis showed that the application of Methylobacteruim oryzae MNL7, Azolla, and Azolla + BGA can be an effective mitigation option to reduce the global warming potential while increasing the yield.
灌溉移栽水稻是甲烷(CH)排放的主要来源。我们在灌溉水稻中进行了为期两年的实验,以研究甲烷利用细菌、蓝藻(BGA)和满江红等干预措施是否可以减轻 CH 和氧化亚氮(NO)的排放,并降低产量标准化的全球变暖潜势(GWP)。该实验包括 9 种处理:T(120kgNha 尿素)、T(90kgNha 尿素+30kgNha 新鲜满江红)、T(90kgNha 尿素+30kgNha 蓝藻(BGA)、T(60kgNha 尿素+30kgNha BGA+30kgNha 满江红、T(120kgNha 尿素+HyphomicrobiumfacileMaAL69)、T(120kgNha 尿素+Burkholderia vietnamiensisAAAr40)、T(120kgNha 尿素+MethylobacteruimoryzaeMNL7)、T(120kgNha 尿素+BurkholderiaAAAr40、HyphomicrobiumfacileMaAL69、MethylobacteruimoryzaeMNL7 的组合)和 T(不施氮肥)。与 T 对照相比,应用 MethylobacteruimoryzaeMNL7 处理 T 时,累积 CH 排放量最大减少(19.9%),其次是应用满江红+蓝藻处理 T(13.2%)。CH 氧化细菌的应用对 NO 排放没有显著影响。然而,在施肥处理中,T(40.7%)的累积 NO 排放量显著较低(P<0.01)。在施用满江红的 T 处理中观察到最高的产量,尿素 N 施用量减少了 25%。与 T(对照)相比,T(满江红和蓝藻)和 T(MethylobacteruimoryzaeMNL7)处理的产量标准化 GWP 减少了 27.4%和 15.2%。K-均值聚类分析表明,应用 MethylobacteruimoryzaeMNL7、满江红和满江红+蓝藻可以是一种有效的缓解选择,以减少全球变暖潜势,同时增加产量。