Nitrogen losses and greenhouse gas emissions under different N and water management in a subtropical double-season rice cropping system

Liang, Kun; Zhong, Xuhua; Nongrong, Huang; Lampayan, Rubenito M.; Liu, Yanzhuo; Pan, Junfeng; BiLin, Peng; Hu, Xiangyu; Fu, Youqiang

doi:10.1016/j.scitotenv.2017.07.118

Cited by 64 publications

(29 citation statements)

References 28 publications

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“…For example, increase in N 2 O emissions (up to 4.5 kg N 2 O ha −1 ) was observed in studies that applied intermittent irrigation as compared to traditional irrigation or continuous flooding [65,72,77,83,[86][87][88]91]. Similarly, a number of studies demonstrated that continuous flooding leads to lower N 2 O emissions as compared to water-saving irrigation treatments in studies done in China, South Korea, and the USA [57,64,71,76,84,85].…”

Section: Effects Of Irrigation On N 2 O Emissionsmentioning

confidence: 98%

Irrigation and Greenhouse Gas Emissions: A Review of Field-Based Studies

et al. 2020

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Irrigation practices can greatly influence greenhouse gas (GHG) emissions because of their control on soil microbial activity and substrate supply. However, the effects of different irrigation management practices, such as flood irrigations versus reduced volume methods, including drip and sprinkler irrigation, on GHG emissions are still poorly understood. Therefore, this review was performed to investigate the effects of different irrigation management strategies on the emission of nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4) by synthesizing existing research that either directly or indirectly examined the effects of at least two irrigation rates on GHG emissions within a single field-based study. Out of thirty-two articles selected for review, reduced irrigation was found to be effective in lowering the rate of CH4 emissions, while flood irrigation had the highest CH4 emission. The rate of CO2 emission increased mostly under low irrigation, and the effect of irrigation strategies on N2O emissions were inconsistent, though a majority of studies reported low N2O emissions in continuously flooded field treatments. The global warming potential (GWP) demonstrated that reduced or water-saving irrigation strategies have the potential to decrease the effect of GHG emissions. In general, GWP was higher for the field that was continuously flooded. The major finding from this review is that optimizing irrigation may help to reduce CH4 emissions and net GWP. However, more field research assessing the effect of varying rates of irrigation on the emission of GHGs from the agricultural field is warranted.

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Section: Effects Of Irrigation On N 2 O Emissionsmentioning

confidence: 98%

Irrigation and Greenhouse Gas Emissions: A Review of Field-Based Studies

et al. 2020

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“…In our study, higher NUE in the split application treatment (100 kg N ha −1 in three splits) might be attributed to reduced losses in the form of runoff, NH 3 volatilization, denitrification, and nitrification (Pan et al 2012b). Moreover, the application of N fertilizer in splits at later growth stages provides an opportunity to maximize the N uptake and its effectiveness to enhance NUEs and yield (Liang et al 2017). However, when N fertilizer rate under the split application treatments was increased from 100 to 150 kg N ha −1 , NUE (NUE B , AgNUE, and ARE) started to decline due to increased N losses, possibly in the form of increased NH 3 volatilization and reduced 1000-grain weight (Ogoshi et al 2020).…”

Section: Discussionmentioning

confidence: 53%

Influence of Nitrogen Fertilization Pattern on Productivity, Nitrogen Use Efficiencies, and Profitability in Different Rice Production Systems

Ishfaq

Akbar

Zulfiqar

et al. 2020

J Soil Sci Plant Nutr

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The major challenge in sustainable rice production is to achieve the goals of increasing crop productivity, profitability, and resource use efficiency. Production systems (PS) and nitrogen (N) management patterns are two key agronomic practices influencing crop performance, profitability, water use efficiency (WUE), and N use efficiency (NUE). So, this study was conducted to check the influence of split application of N on rice productivity, NUE and profitability under dry direct-seeded rice (DDSR) and transplanted rice (TPR) systems. A field study was conducted in the summer season of 2017 and 2018 to investigate the influence of two PS (dry direct-seeded rice = DDSR and transplanted rice = TPR) and six N management treatments (N 1 = control, N 2 = 50 kg N ha −1 as basal, N 3 = 100 kg N ha −1 as basal, N 4 = 150 kg N ha −1 as basal, N 5 = 100 kg N ha −1 in three splits and N 6 = 150 kg N ha −1 in three splits) on crop productivity, profitability, and resource use efficiency. Yield-related traits, spikelet sterility, WUE, and profitability aspects were significantly influenced by PS. All aspects of crop performance, kernel quality, N uptake, and NUE (except NUE on biomass basis = NUEB) were affected by N management pattern, while no significant interaction between PS and N management was observed for any aspect. On average, DDSR improved the productive tiller density (26%), biological yield (16%), WUE (14%), and NUEB (27%) as compared with TPR. Similarly, DDSR reduced the cost of production (31-43%), while maintaining statistically similar paddy yields and reducing total water inputs (5-17%) in comparison with TPR. Among N management pattern, 100 kg N ha −1 in three splits increased paddy yields (44%), and WUE (42%) as compared with the basal application of 100 kg N ha −1. Similarly, application of N at 100 kg ha −1 in three splits improved the total N uptake (42%), agronomic NUE (146%), apparent recovery efficiency (226%) while reducing the spikelet sterility (28%) as compared with the basal application of 100 kg N ha −1. The DDSR has the potential to maintain or increase yield, WUE, NUE, and economic returns. While, split application of N at 100 kg ha −1 either in DDSR or TPR not only increased the SPADchlorophyll value, WUE, NUE, and economic returns but also reduced the spikelet sterility.

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“…The fallow left in the field during summer-autumn season translates into carbon sources for anaerobic bacteria populations, responsible for methane production. For its part, results reported by Liang et al (2017) also showed seasonal differences in CSI. In the early season experiments, the CSI between AWD and CF was 0.04.…”

Section: Csi Of Contrasting Water Managements: Cf Vs Awdmentioning

confidence: 77%

A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice

Arenas-Calle

Challinor

2019

Front. Sustain. Food Syst.

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Efforts to increase agricultural productivity, adapt to climate change, and reduce the carbon footprint of agriculture are reflected in a growing interest in climate-smart agriculture (CSA). Specific indicators of productivity, adaptation and mitigation are commonly used in support of claims about the climate smartness of practices. However, it is rare that these three objectives can be optimized simultaneously by any one strategy. In evaluating the relative climate smartness of different agricultural practices, plans and policies, there is a need for metrics that can simultaneously represent all three objectives and therefore be used in comparing strategies that have different benefits and trade-offs across this triad of objectives. In this context, a method for developing a Climate Smartness Index (CSI) is presented. The process of developing the index follows four steps: (1) defining system specific climate smartness; (2) selecting relevant indicators; (3) normalizing against reference values from a systematic literature review; and (4) aggregating and weighting. The CSI presented here has been developed for application in a systematic review of rice irrigation strategies and it combines normalized water productivity (WP) and greenhouse gas intensity (GHGI) The CSI was developed for application to data from published field experiments that assessed the impact of water management practices in irrigated rice, focusing on practices heralded as climate-smart strategies, such as Alternate Wetting and Drying (AWD). The analysis shows that the CSI can provide a consistent judgment of the treatments based on the evidence of water efficiency and reduced GHGI reported in such studies. Using a measurable and replicable index supports the aim of generating a reliable quantification of the climate smartness of agricultural practices. The same four step process can be used to build metrics for a broad range of CSA practice, policy and planning.

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Nitrogen losses and greenhouse gas emissions under different N and water management in a subtropical double-season rice cropping system

Cited by 64 publications

References 28 publications

Irrigation and Greenhouse Gas Emissions: A Review of Field-Based Studies

Irrigation and Greenhouse Gas Emissions: A Review of Field-Based Studies

Influence of Nitrogen Fertilization Pattern on Productivity, Nitrogen Use Efficiencies, and Profitability in Different Rice Production Systems

A Climate Smartness Index (CSI) Based on Greenhouse Gas Intensity and Water Productivity: Application to Irrigated Rice

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