Preprint
Review

The Impact on Greenhouse Gas Emissions of Rice Crop Management Under the System of Rice Intensification: A Review

Altmetrics

Downloads

337

Views

224

Comments

0

A peer-reviewed article of this preprint also exists.

This version is not peer-reviewed

Submitted:

29 October 2023

Posted:

01 November 2023

Read the latest preprint version here

Alerts
Abstract
Rice provides ~20% of human dietary energy and, for many people, a similar share of their protein. Rice cultivation, however, produces significant greenhouse gas (GHG) emissions, comparable to those from the aviation sector. The main GHG from rice production is methane, mostly a result of conventional rice cultivation (CRC) keeping rice fields continuously flooded during the crop cycle. There is extensive evidence that alternate wetting and drying (AWD) of rice fields substantively reduces methane emissions. AWD is one component of the System of Rice Intensification (SRI), an agroecological approach to the management of plants, water, soil and nutrients practiced by millions of farmers in both lowland irrigated rice and upland rainfed cultivation. Thirteen countries have included SRI in their Nationally Determined Contributions to GHG reduction or climate change mitigation. This article reviews 16 field studies of the net reduction in GHG emissions from the adoption of AWD, nine from the adoption of SRI, and two that compared SRI and AWD. Where available, the review includes data on yield and therefore on carbon dioxide-equivalent GHG emissions per kilogram of rice produced. The evidence indicates that AWD and SRI offer a similar and substantial reduction (~35–41%) in GHG emissions per hectare compared with conventional rice cultivation. However, SRI offers ~66% greater yield than CRC, and therefore greater reduction in emissions per kilogram of rice, ~54% more than AWD. The limited data directly comparing SRI and AWD support this finding. SRI also appears to have greater potential to sequester carbon in the soil. SRI lowers rice farmers’ costs of production, adds to their income and can make climate-friendly methods more attractive. Both AWD and SRI are greatly preferable to current conventional practices, but SRI offers opportunities to contribute to food security while directly addressing the drivers of climate change.
Keywords: 
Subject: Biology and Life Sciences  -   Agricultural Science and Agronomy

1. Introduction

Rice is one of the world’s three main staple crops, providing more than a fifth of the calories consumed by people worldwide [1] and cultivated on ~195 million hectares, ~12% of the global cropped area [2]. Traditional lowland rice cultivation includes the continuous flooding of paddy fields. In India, ~65% of the ~44 million hectares under rice production in 2019 were irrigated [3]. Farmers mostly irrigate to suppress the growth of weeds and some plant pests, but also because many believe rice is an aquatic plant that benefits from flooding. In fact, while rice can survive under flooded conditions, its root systems deteriorate under constant inundation due to hypoxia [4].
Continuous flooding also leads to methanogenesis, the biological process whereby the anaerobic respiration of certain microbes (archaea) in the soil produces methane (CH4) as a by-product of their metabolism [5]. Other factors also affect this process [6]. The production of methane from rice cultivation is particularly harmful because methane is a potent GHG with a global warming potential (GWP) that is 27 times greater than carbon dioxide (CO2) over 100 years and 80 times greater over 20 years [7].
Reducing the rate at which the atmospheric concentration of methane is increasing is critical if we are to keep the average global temperature from rising to more than 1.5°C above its pre-industrial level [8]. Reducing anthropogenic emissions of methane is one of the most urgent and cost-effective ways for staying below the 1.5°C threshold and limiting the worst degrees of environmental change [9]. Rice cultivation represented ~8% of global methane emissions in 2020 [10], with a similar GHG effect as the whole aviation sector [11]. Expanding low-emission rice cultivation methods rapidly could therefore contribute materially to the achievement of global climate-mitigation targets. While we use the GWP100 metric in this paper, as discussed below, a GWP20 metric would arguably present a more realistic picture of the benefits from achieving these reductions in GHG emission.

2. Impacts of Rice Production Methods on Greenhouse Gas Emissions

SRI is a methodology for improving rice cultivation that includes keeping paddy soils moist but mostly aerobic, i.e., not inundated [12]. Irrigation water is provided to rice fields intermittently, usually through what is referred to as alternate wetting and drying (AWD) with no continuous flooding. This reduces the amount of water that is required for rice production and constrains the biotic process of methanogenesis in the soil, thereby reducing the amount of methane gas that gets emitted into the atmosphere. As the more aerobic soil conditions created by AWD can increase the emission of N2O, this must be taken into account when assessing the net GHG emissions changes from AWD and SRI.
Initial interest in and research into SRI focused on its yield increases and on some other development advantages, e.g., lower costs of production, higher farmer income, better grain quality, and crop resistance to the hazards of climate change [13]. However, once reductions in GHG emissions began to be documented [14], interest grew in what SRI crop management could do to mitigate global warming. This paper seeks to help scholars, policymakers, and practitioners by identifying and synthesizing studies of the GHG emissions benefits associated with SRI and AWD.

3. Materials and Methods

Researchers have conducted field trials in several countries to compare the GHG emissions of SRI and AWD with those from conventional rice cultivation (CRC) practices. We compiled the published results from field trials that made direct, field-level measurements of GHG emissions, rather than estimates of emissions through modeling based on factors such as flooding days. While this criterion limited the number of studies that were included, it provides a firmer empirical basis.
The absolute values of GHG emissions can vary significantly across locations due to climatic, soil and other conditions, so the focus here is on the percentage changes in emissions per hectare of rice cultivation. Where the studies reported yield data, these are also considered. With yield data, we could also calculate changes in GHG emissions per kilogram of rice produced.
Emissions changes (𝚫) have been recorded in terms of GWP over a 100-year period (GWP100), referred to as carbon dioxide-equivalent (CO2e) emissions. This figure provides a basis for aggregating and comparing the respective masses of absolute emissions per year, or per growing season, and multiplying the constituent gases (N2O, CH4, CO2) by their relevant multiplication factors to arrive at a summed GWP. Such a calculation enables comparison between data sources. The GWP100 factors used are 27 for (non-fossil) CH4 and 273 for N2O [7].
We converted values for emissions reduction into per-hectare values where necessary and calculated changes in emissions per kilogram of rice produced where yield data were available.
Although values for CO2 reduction were reported in some studies, we did not include them in the calculation of GHG/GWP percentage changes. The main factor here is energy savings from reduced irrigation which can be material but vary depending on the type of irrigation system [15]. Where AWD is applied alone, reduced electricity costs and water savings will be the principal benefit for the farmer, although other secondary benefits have been identified [16].
Data sources were identified from the Cornell University SRI-Rice Zotero database [17] by selecting for articles on GHG emissions. This was cross-checked and expanded upon with a search of the Google Scholar database using search terms including 'system of rice intensification greenhouse gas' and 'alternate wetting and drying greenhouse gas.' Finally, some additional studies were identified through a literature review. One study [14] was excluded as it did not provide numbers, although it showed an unspecified reduction in methane and an unspecified increase in nitrous oxide emissions. Another, significant study [15] was excluded because it did not provide the actual data, although its results are noted in the Discussion.
It is possible that one or more studies have not been captured in this review, but the resulting data set gives a reasonable representation of the variation and direction of the research results in this field. All the source data and calculations are available in the Supplementary Data file.

4. Results

Table 1 presents the results of 9 studies that compared GHG emissions from SRI and CRC practices. All these studies were carried out in India or Nepal, and most investigated emissions of both methane and nitrous oxide. One study measured carbon sequestration and observed a 115% increase in carbon sequestration in rice soils that used SRI compared to CRC practices [18]. However, we could not pursue the important subject of carbon sequestration because so little research has been done and reported on this.
Table 2 presents the results of 16 studies in which GHG emissions from AWD were compared with those from CRC practices. These data are more geographically diverse, coming from Asia, and North and South America.
Table 3 presents the results from the two studies that compared SRI and AWD directly. Just two studies do not provide the basis for generalizing, but they have some value when considered in the context provided by the other data sets.

5. Discussion

5.1. Overview

To provide an overview of these studies, the results of the above tables are summarized in Table 4 below. By showing ranges and median values, not just mean values, readers can get a better idea of what central tendencies can be discerned from the data. As stated already, GHG emissions are subject to many factors, which makes for both variation and variability.
Table 4a. Improvement (reduction) in CO2e emissions per hectare.
Table 4a. Improvement (reduction) in CO2e emissions per hectare.
n range median mean
SRI 𝚫 from CRC 8 –1% to –74 –34% –35%
AWD 𝚫 from CRC 16 +6% to –89% –39% –41%
SRI 𝚫 from AWD 2 –5% to –6% -5%
Table 4b. Improvement (increase) in yield (tonnes rice produced per hectare).
Table 4b. Improvement (increase) in yield (tonnes rice produced per hectare).
n range median mean
SRI 𝚫 from CRC 7 –3% to +150% +51% +66%
AWD 𝚫 from CRC 15 –10% to +11% +3% +2%
SRI 𝚫 from AWD 2 +17% to +37% +27%
Table 4c. Improvement (reduction) in CO2e emissions per kg rice produced.
Table 4c. Improvement (reduction) in CO2e emissions per kg rice produced.
n range median mean
SRI 𝚫 from CRC 7 –11% to –88% –62% –54%
AWD 𝚫 from CRC 15 +5% to –88% –45% –42%
SRI 𝚫 from AWD 2 –20% to –30% –27%
Overall, the data show that both SRI and AWD offer a significant reduction in GHG emissions on a per hectare basis (mean reductions of 35% and 41%, respectively) compared with CRC practices. SRI, however, offered a 27% greater reduction in emissions per kilogram of rice produced (mean reductions of 54% vs 42%, respectively). While AWD and SRI have similar capacity to reduce GHG emissions, SRI has greater capacity to improve yields, with a mean increase of 66% vs 2%. Such agronomic performance has been demonstrated in many studies not included here as they do not address or analyze GHG emissions [13].
The study by Gathorne-Hardy et al. [15], which was not included in the above analysis as noted above, found that SRI management reduced GHG emissions by 61% per kg of rice, which is close to the mean value of the seven studies that included both yield and per kg data. The increase in grain yield reported of ~60%, was also well within the range above, and the authors noted that this increase was achieved despite somewhat lower inputs of nitrogen, phosphorus and potassium (NPK) fertilizers [15].
The studies that compared SRI and AWD respectively with CRC practices do not provide direct evidence of the differences between AWD and SRI because the CRC bases for comparison were not the same. The data in Table 1 and Table 2 are consistent with a conclusion that SRI yields are higher than AWD yields on average. The two studies that directly compared SRI and AWD also support this inference, both showing that SRI achieved yields of 17% and 37% more than AWD under similar soil and other conditions. Both studies also found a modest 5–6% improvement in GHG emissions in SRI compared with AWD, which is not a material difference. The two SRI-AWD studies concluded with a significant difference in the GHG emissions per kg of rice produced, which is consistent with the inference that can be drawn from Table 1 and Table 2.

5.2. Carbon Sequestration

GHG emissions are not the only factor affecting climate change. Agricultural soils and vegetation are also an important carbon sink, and farming practices that increase soil organic carbon serve to reduce the atmospheric accumulation of carbon. One study found in the literature search [18] found that soil carbon sequestration in SRI-managed rice fields ranged from 27.5 to 96.2 t CO2e ha-1 year-1, more than double the soil carbon sequestration found in CRC fields in the same study. SRI enhances the soil's potential for carbon sequestration because of the greater biomass of rice plants both above and below ground [18], without the trade-off in higher methane emissions that can be caused by greater soil organic matter [42].
The role of carbon sequestration should not be underestimated. The potential increases in soil carbon sequestration as a result of SRI are an order of magnitude greater than the CO2e emissions reduction in GHG emissions [18]. If substantiated by further research, the carbon sequestration potential of SRI not only extends the climate change mitigation advantages that SRI has over CRC practices, but may also put it ahead of AWD in terms of GHG benefits alone. Further research on this is therefore highly desirable.

5.3. Synergies Between AWD and SRI in Farmer Transitions

While SRI offers a broader range of benefits than AWD, the latter offers some important benefits in its own right and, in some circumstances, it may be a good stepping-stone to SRI. Changing water management practices can be a challenging step for farmers in adopting SRI. Implementing AWD is a significant step towards SRI. Even if AWD does not offer improved yields, the saving in water and electricity costs for pumping may be material. Water consumption can be lowered with AWD by as much as 25-30% without negatively affecting yield [43]. In many countries, farmers do not have to pay for water consumed (and maybe not even for electricity). However, increasing competition for scarce fresh water supplies may encourage or even necessitate the adoption of AWD or SRI in some areas.
Once farmers have overcome the challenges of water management by implementing AWD, they will find the transition to SRI – managing plants, soil and nutrients differently – less challenging. Once there, they can enjoy the numerous other benefits of SRI. Aside from improved yield, input costs are reduced for seed, energy and fertilizer, leading to higher returns for farmers [44]. SRI also produces rice seed and grains that are of higher quality than CRC rice [45], and the plants are more resistant to biotic and abiotic stresses [13] as well as being more resilient to cold temperatures, storm damage, and pests and diseases [46,47]. Of course, if farmers can move directly from CRC to SRI practices, so much the better.

6. Conclusions

This paper reviewed the published literature on greenhouse gas emissions from AWD and SRI and compared these to the emissions from CRC practices. Our findings show that both the System of Rice Intensification (SRI) and alternate wetting and drying (AWD) outperform CRC practices by significantly reducing per hectare GHG emissions. The higher yields observed in these trials with SRI management suggest that it will perform better than AWD alone in terms of per kg of rice produced. Also, there is evidence that the gains from practicing SRI for reducing GWP will be further increased when carbon sequestration in the soil is taken into consideration.
This review offers evidence that for the sake of both climate change mitigation and adaptation, farmers should be encouraged and assisted to move to SRI methods of rice production. SRI offers additional benefits in terms of crop resilience to increasingly extreme and unreliable weather patterns. Seven rice-producing nations have already included SRI in their Nationally Determined Contributions (NDCs) for mitigation of GHG emissions, and six have endorsed it to aid farmer in adaptation to climate change [48].
While the GHG emissions can be reduced by AWD alone, when viewed in total, SRI provides multiple benefits beyond AWD, even if it requires some greater effort in agricultural extension. Where water management is a significant barrier to adoption, it may make tactical sense to help farmers adopt AWD first, and then transition to SRI for the additional benefits that it offers. In either case, AWD and SRI are not competing methods, since AWD is a component of SRI, as well as a logical stepping-stone towards it. SRI can also be combined with conservation agriculture practices such as no-tillage, cover cropping, and mulching [12,49].
Yields are not a matter of concern only to farmers. Food security is an increasingly critical and urgent issue for policymakers, and one that is arguably more important for them in the short run than climate change, albeit that food supply will be affected by climate change as well as policy responses, as has already been seen in the case of rice [50]. When food security is considered by policymakers, SRI becomes an even more compelling policy option. In addition to national agricultural extension programs, international development efforts, climate financing, and loss and damage funds should be directed towards SRI as a matter of urgency.

References

  1. FAO. Dimensions of need - Staple foods: What do people eat? https://www.fao.org/3/u8480e/u8480e07.htm (2023).
  2. FAO. FAOStat: Crops and Livestock Products. https://www.fao.org/faostat/en/#data/QCL (2021).
  3. Directorate of Economics and Statistics (India). Agriculture Statistics at a Glance. https://desagri.gov.in/document-report-category/agriculture-statistics-at-a-glance/ (2023).
  4. Sauter, M. Root responses to flooding. Current Opinion in Plant Biology 16, 282–286 (2013). [CrossRef]
  5. Buan, N. R. Methanogens: Pushing the boundaries of biology. Emerging Topics in Life Sciences 2, 629–646 (2018). [CrossRef]
  6. Kumar, A., Nayak, A., Mohanty, S. & Das, B. Greenhouse gas emission from direct seeded paddy fields under different soil water potentials in Eastern India. Agriculture, Ecosystems & Environment 228, 111–123 (2016). [CrossRef]
  7. Forster, P. et al. The Earth’s Energy Budget, Climate Feedbacks and Climate Sensitivity. in Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (ed. Intergovernmental Panel on Climate Change (IPCC)) 923–1054 (Cambridge University Press, 2021). [CrossRef]
  8. Fletcher, S. E. M. & Schaefer, H. Rising methane: A new climate challenge. Science 364, 932–933 (2019). [CrossRef]
  9. Ocko, I. B. et al. Acting rapidly to deploy readily available methane mitigation measures by sector can immediately slow global warming. Environ. Res. Lett. 16, 054042 (2021). [CrossRef]
  10. UNEP & CCAC. Global Methane Assessment: Benefits and Costs of Mitigating Methane Emissions. http://www.unep.org/resources/report/global-methane-assessment-benefits-and-costs-mitigating-methane-emissions (2021).
  11. Emissions Trends and Drivers. in Climate Change 2022 - Mitigation of Climate Change: Working Group III Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (ed. IPCC) 215–294 (Cambridge University Press, 2023). [CrossRef]
  12. Uphoff, N. SRI 2.0 and Beyond: Sequencing the protean evolution of the System of Rice Intensification. Agronomy 13, 1253 (2023). [CrossRef]
  13. Thakur, A. K. & Uphoff, N. T. How the System of Rice Intensification can contribute to climate-smart agriculture. Agronomy Journal 109, 1163–1182 (2017). [CrossRef]
  14. Kimura, S. D. Methane and Nitrous Oxide Emissions from paddy rice fields in Indonesia: Comparison of SRI and surrounding conventional fields. Presentation to Ministry of Public Works (June 2008). https://www.slideshare.net/SRI.CORNELL/0890-dorotheamethane-and-nitrous-oxide-emissions-from-paddy-rice-fields-in-indonesia-comparison-of-sri-and-surrounding-conventional-fields (2008).
  15. Gathorne-Hardy, A., Reddy, D., Motkuri, V. & Harriss-White, B. A Life Cycle Assessment (LCA) of greenhouse gas emissions from SRI and flooded rice production in SE India. Taiwan Water Conservancy 61, (2013).
  16. Allen, J. & Sander, B. O. The Diverse Benefits of Alternate Wetting and Drying (AWD). (2019).
  17. SRI-Rice System of Rice Intensification Research Database. https://www.zotero.org/groups/344232/sri_-_system_of_rice_intensification_research_network (2023).
  18. Gangopadhyay, S. et al. Carbon sequestration and greenhouse gas emissions for different rice cultivation practices. Sustainable Production and Consumption 34, 90–104 (2022). [CrossRef]
  19. Karki, S. System of Rice Intensification: An analysis of adoption and potential environmental benefits (Masters Thesis). (Norwegian University of Life Sciences, Ås, Norway, 2011).
  20. Suryavanshi, P., Singh, Y. V., Prasanna, R., Bhatia, A. & Shivay, Y. S. Pattern of methane emission and water productivity under different methods of rice crop establishment. Paddy Water Environ 11, 321–329 (2013). [CrossRef]
  21. Rajkishore, S. K., Doraisamy, P., Subramanian, K. S. & Maheswari, M. Methane emission patterns and their associated soil microflora with SRI and conventional systems of rice cultivation in Tamil Nadu, India. Taiwan Water Conservancy 61, (2013).
  22. Jain, N. et al. Mitigation of greenhouse gas emission with system of rice intensification in the Indo-Gangetic Plains. Paddy Water Environ 12, 355–363 (2014). [CrossRef]
  23. Rajesh Krishnan, R. K., Lakshmanan, A., Ajith, K. & Shajeeshjan, P. Sobering rice production from conventional to climate smart. Intl J Curr Microbiol Appl Sci 6, 2804–2813 (2017). [CrossRef]
  24. Ramesh, T. & Rathika, S. Evaluation of rice cultivation systems for greenhouse gases emission and productivity. Int. J. Ecol. Environ. Sci 2, 49–54 (2020).
  25. Gangopadhyay, S. et al. A new methodological approach to the establishment of sustainable agricultural ecology in drought vulnerable areas of eastern India. Ecological Informatics 75, 102013 (2023). [CrossRef]
  26. Yang, S., Peng, S., Xu, J., Luo, Y. & Li, D. Methane and nitrous oxide emissions from paddy field as affected by water-saving irrigation. Physics and Chemistry of the Earth, Parts A/B/C 53–54, 30–37 (2012). [CrossRef]
  27. Kim, G.-Y. et al. Effect of intermittent drainage on methane and nitrous oxide emissions under different fertilization in a temperate paddy soil during rice cultivation. J Korean Soc Appl Biol Chem 57, 229–236 (2014). [CrossRef]
  28. Linquist, B. A. et al. Reducing greenhouse gas emissions, water use, and grain arsenic levels in rice systems. Global Change Biology 21, 407–417 (2015). [CrossRef]
  29. Xu, Y. et al. Effects of water-saving irrigation practices and drought resistant rice variety on greenhouse gas emissions from a no-till paddy in the central lowlands of China. Science of The Total Environment 505, 1043–1052 (2015). [CrossRef]
  30. Zschornack, T. et al. Mitigation of yield-scaled greenhouse gas emissions in subtropical paddy rice under alternative irrigation systems. Nutr Cycl Agroecosyst 105, 61–73 (2016). [CrossRef]
  31. LaHue, G. T., Chaney, R. L., Adviento-Borbe, M. A. & Linquist, B. A. Alternate wetting and drying in high yielding direct-seeded rice systems accomplishes multiple environmental and agronomic objectives. Agriculture, Ecosystems & Environment 229, 30–39 (2016). [CrossRef]
  32. Liang, K. et al. Grain yield, water productivity and CH4 emission of irrigated rice in response to water management in south China. Agricultural Water Management 163, 319–331 (2016). [CrossRef]
  33. Camargo, E. S., Pedroso, G. M., Minamikawa, K., Shiratori, Y. & Bayer, C. Intercontinental comparison of greenhouse gas emissions from irrigated rice fields under feasible water management practices: Brazil and Japan. Soil Science and Plant Nutrition 64, 59–67 (2018). [CrossRef]
  34. Sibayan, E. B. et al. Effects of alternate wetting and drying technique on greenhouse gas emissions from irrigated rice paddy in Central Luzon, Philippines. Soil Science and Plant Nutrition 64, 39–46 (2018). [CrossRef]
  35. Tran, D. H., Hoang, T. N., Tokida, T., Tirol-Padre, A. & Minamikawa, K. Impacts of alternate wetting and drying on greenhouse gas emission from paddy field in Central Vietnam. Soil Science and Plant Nutrition 64, 14–22 (2018). [CrossRef]
  36. Tirol-Padre, A., Minamikawa, K., Tokida, T., Wassmann, R. & Yagi, K. Site-specific feasibility of alternate wetting and drying as a greenhouse gas mitigation option in irrigated rice fields in Southeast Asia: A synthesis. Soil Science and Plant Nutrition 64, 2–13 (2018). [CrossRef]
  37. Setyanto, P. et al. Alternate wetting and drying reduces methane emission from a rice paddy in Central Java, Indonesia without yield loss. Soil Science and Plant Nutrition 64, 23–30 (2018). [CrossRef]
  38. Chidthaisong, A. et al. Evaluating the effects of alternate wetting and drying (AWD) on methane and nitrous oxide emissions from a paddy field in Thailand. Soil Science and Plant Nutrition 64, 31–38 (2018). [CrossRef]
  39. Oo, A. Z. et al. Methane and nitrous oxide emissions from conventional and modified rice cultivation systems in South India. Agriculture, Ecosystems & Environment 252, 148–158 (2018). [CrossRef]
  40. Islam, S. F. et al. Reducing greenhouse gas emissions and grain arsenic and lead levels without compromising yield in organically produced rice. Agriculture, Ecosystems & Environment 295, 106922 (2020). [CrossRef]
  41. Mohapatra, K. K. et al. Multi-criteria assessment to screen climate smart rice establishment techniques in coastal rice production system of India. Front Plant Sci 14, 1130545 (2023). [CrossRef]
  42. Das, S. R. et al. Potential soil organic carbon sequestration vis-a-vis methane emission in lowland rice agroecosystem. Environmental monitoring and assessment 195, 1099–1099 (2023). [CrossRef]
  43. Suwanmaneepong, S. et al. Alternate wetting and drying as water-saving technology: An adoption intention in the perspective of good agricultural practices (GAP) suburban rice farmers in Thailand. Water 15, 402 (2023). [CrossRef]
  44. Mishra, A., Ketelaar, J. W., Uphoff, N. & Whitten, M. Food security and climate-smart agriculture in the lower Mekong basin of Southeast Asia: evaluating impacts of system of rice intensification with special reference to rainfed agriculture. International Journal of Agricultural Sustainability 19, 152–174 (2021). [CrossRef]
  45. Kumar, G., Subba Rao, L. V. & Keshavulu, K. Comparative evaluation of seed and grain quality parameters of rice (Oryza sativa L.) varieties under SRI and conventional methods of rice cultivation. International Journal of Current Microbiology and Applied Sciences 6, 3653–3660 (2017). [CrossRef]
  46. Adhikari, P. et al. System of crop intensification for more productive, resource-conserving, climate-resilient, and sustainable agriculture: experience with diverse crops in varying agroecologies. International Journal of Agricultural Sustainability 16, 1–28 (2018). [CrossRef]
  47. Thakur, A. K., Mandal, K. G., Mohanty, R. K. & Uphoff, N. How agroecological rice intensification can assist in reaching the Sustainable Development Goals. International Journal of Agricultural Sustainability 20, 216–230 (2022). [CrossRef]
  48. McCallum, J. SRI-2030 Live. Exploring the Role of SRI and Nationally Determined Contributions for Climate Action https://www.sri-2030.org/blog-post/exploring-the-role-of-the-system-of-rice-intensification-and-nationally-determined-contributions-towards-achieving-global-climate-goals (2023).
  49. Zampaolo, F. C., Kassam, A., Friedrich, T., Parr, A. & Uphoff, N. Compatibility between Conservation Agriculture and the System of Rice Intensification. Preprint at. [CrossRef]
  50. Parkin, B., Savage, S., Singh, J. & Adeoye, A. The return of the rice crisis. Financial Times (2023).
Table 1. Field trials comparing GHG emissions and yield of SRI and CRC practices.
Table 1. Field trials comparing GHG emissions and yield of SRI and CRC practices.
Study SRI 𝚫 from CRC
in Net Emissions
t CO2e ha-1
SRI 𝚫 from CRC
in Net Emissions
kg CO2e kg-1 rice
SRI 𝚫 from CRC
in Yield
t ha-1
Nepal (2011) [19] -74% -88% +118%
India (2012) [20] -38% -44% +11%
India (2013) [21] -31% n/a n/a
India (2014) [22] -39% -37% -3%
India (2017) [23] -42% -62% +51%
India (2020) [24] -1% -11% +11%
India (2022) [18] -25% -67% +127%
India (2023) [25] -27% -71% +150%
Table 2. Field trials comparing GHG emissions and yield of AWD and CRC practices.
Table 2. Field trials comparing GHG emissions and yield of AWD and CRC practices.
Study AWD 𝚫 from CRC
in Net Emissions
t CO2e ha-1
AWD 𝚫 from CRC
in Net Emissions
kg CO2e kg-1 rice
AWD 𝚫 from CRC
in Yield
t ha-1
China (2012) [26] -24% -26% +3%
Korea (2014) [27] -48% -49% +1%
USA (2015) [28] -89% -88% -9%
China (2015) [29] -64% -60% -10%
Brazil (2016) [30] -38% n/a n/a
USA (2016) [31] -66% -68% +9%
China (2016) [32] -59% -60% +2%
India (2017) [23] -39% -45% +11%
Brazil, Japan (2018) [33] -59% -62% +9%
Philippines (2018) [34] +6% 5% +2%
Vietnam (2018) [35] -26% -31% +7%
SE Asia (2018) [36] -13% -15% +3%
Indonesia (2018) [37] -36% -35% -1%
Thailand (2018) [38] -4% -1% -4%
India (2018) [39] -25% -31% +8%
Philippines (2020) [40] -65% -67% +6%
Table 3. Field trials comparing GHG emissions of AWD and SRI.
Table 3. Field trials comparing GHG emissions of AWD and SRI.
Study SRI 𝚫 from AWD
in Net Emissions
t CO2e ha-1
SRI 𝚫 from AWD
in Net Emissions
kg CO2e kg-1 rice
SRI 𝚫 from AWD
in Yield
t ha-1
India (2017) [23] –5% –30% +37%
India (2023) [41] –6% –20% +17%
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2024 MDPI (Basel, Switzerland) unless otherwise stated