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Research article · 2025 · Full text

International Journal of Agriculture and Nutrition

Impact of alternate wetting and drying irrigation on methane emission from rice paddies

Lalita NegiChandni SrivastavaAakash Basumatary

Volume 7(6) · Pages 153–155 · DOI: 10.33545/26646064.2025.v7.i6c.451 ↗

Research areasRice Cultivation and Yield ImprovementAgricultural Systems and PracticesPeatlands and Wetlands Ecology

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Abstract

Author-written

What fraction of a rice field’s methane output can be eliminated simply by letting the soil breathe between irrigations? This research measured CH4 and N2O fluxes under alternate wetting and drying (AWD) irrigation versus continuous flooding (CF) in transplanted rice at Anand, Gujarat, during Kharif 2022 and 2023. Closed chambers sampled gas at weekly intervals. AWD reduced seasonal CH4 emission by 38.7% (from 4.10 to 2.51 t CO2-eq ha-1) without a statistically significant yield penalty (5.87 vs. 6.04 t ha-1). N2O rose slightly under AWD (+14.3%) because aerobic episodes favoured nitrification, but the increase was small in absolute terms (0.18 vs. 0.16 t CO2-eq ha-1). Net global warming potential fell by 34.2% under AWD. Irrigation water use declined by 24%, raising water productivity from 0.74 to 0.98 kg grain m-3. These data support AWD as a practical, low-cost strategy for reducing greenhouse gas intensity of rice in western India without compromising yield.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Traditional flooding of rice paddies is economically inefficient, with up to 40% of water lost to evaporation and seepage. View evidence ↗

      Why it matters

      Traditional flooding of rice paddies is economically inefficient, with up to 40% of water lost to evaporation and seepage.

      In the paper's own words

      “From a purely economic angle, flooding a rice paddy is wasteful: up to 40% of applied water is lost through seepage and evaporation without contributing to grain fill [1].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Standing water in rice fields creates anaerobic conditions that allow archaea to produce methane, contributing approximately 10% of global agricultural methane emissions. View evidence ↗

      Why it matters

      Standing water in rice fields creates anaerobic conditions that allow archaea to produce methane, contributing approximately 10% of global agricultural methane emissions.

      In the paper's own words

      “standing water creates the anaerobic conditions that methanogenic archaea need to convert soil organic carbon into CH4, making irrigated rice responsible for roughly 10% of global agricultural methane [2].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • There is limited data on greenhouse gas dynamics in western India, where sandy loam soils and high temperatures may influence emissions. View evidence ↗

      Why it matters

      There is limited data on greenhouse gas dynamics in western India, where sandy loam soils and high temperatures may influence emissions.

      In the paper's own words

      “But data from western India—where high ambient temperatures and sandy loam soils may alter gas dynamics—are limited [6].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to compare methane (CH4) and nitrous oxide (N2O) fluxes, global warming potential, and water productivity between alternate wetting and drying (AWD) and continuous flooding (CF) in transplanted rice. View evidence ↗

      The question

      The study aimed to compare methane (CH4) and nitrous oxide (N2O) fluxes, global warming potential, and water productivity between alternate wetting and drying (AWD) and continuous flooding (CF) in transplanted rice.

      In the paper's own words

      “This research aimed to (i) quantify season-long CH4 and N2O fluxes under AWD versus CF in transplanted rice on a sandy loam Entisol, (ii) calculate the net global warming potential and greenhouse gas intensity, and (iii) measure the water saving and its effect on water productivity.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The experiment was conducted at the Anand Agricultural University research farm in Gujarat on sandy loam Entisol soil. View evidence ↗

      What they did

      The experiment was conducted at the Anand Agricultural University research farm in Gujarat on sandy loam Entisol soil.

      In the paper's own words

      “The trial was established on a sandy loam Entisol (pH 7.4, OC 0.52%) at the Anand Agricultural University research farm (22°35′ N, 72°55′ E, 45 m a.s.l.).”

      Page 2

      Found in: Materials

      Read it in the full textOpen PDF at page 2 ↗
    • The study used a randomized block design with four replications of 10 m x 8 m plots, planting the 'GR-11' rice variety. View evidence ↗

      What they did

      The study used a randomized block design with four replications of 10 m x 8 m plots, planting the 'GR-11' rice variety.

      In the paper's own words

      “Two water management treatments (AWD and CF) were laid out in a randomised block design with four replications, plot size 10 m × 8 m separated by 1.5 m bunds lined with polythene to prevent lateral seepage. Rice variety ‘GR-11’ was transplanted at 20 cm × 15 cm in July of each year.”

      Page 2

      Found in: Materials

      Read it in the full textOpen PDF at page 2 ↗
    • Continuous flooding (CF) maintained 5±2 cm of water, while alternate wetting and drying (AWD) allowed the water table to drop to 15 cm below the surface before re-flooding. View evidence ↗

      What they did

      Continuous flooding (CF) maintained 5±2 cm of water, while alternate wetting and drying (AWD) allowed the water table to drop to 15 cm below the surface before re-flooding.

      In the paper's own words

      “In the CF treatment, 5±2 cm of standing water was maintained from transplanting to 14 days before harvest. In AWD, the field was flooded to 5 cm, then allowed to drain until the water table dropped to 15 cm below the surface (monitored by perforated PVC observation tubes installed in each plot) before re-flooding.”

      Page 1

      Found in: Water Balance and Irrigation Protocol

      Read it in the full textOpen PDF at page 1 ↗
  4. What they found

    • AWD irrigation reduced seasonal methane emissions by 38.7%, dropping from 4.10 to 2.51 t CO2-eq ha-1. View evidence ↗

      What they found

      AWD irrigation reduced seasonal methane emissions by 38.7%, dropping from 4.10 to 2.51 t CO2-eq ha-1.

      In the paper's own words

      “AWD reduced seasonal CH4 by 38.7% (Table 1).”

      Page 2

      “CH₄ (t CO₂-eq/ha) | 2.51 | 4.10 | -38.7”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • Nitrous oxide emissions increased by 14.3% under AWD (from 0.16 to 0.18 t CO2-eq ha-1), though this contribution to the total global warming potential was small. View evidence ↗

      What they found

      Nitrous oxide emissions increased by 14.3% under AWD (from 0.16 to 0.18 t CO2-eq ha-1), though this contribution to the total global warming potential was small.

      In the paper's own words

      “N2O increased by 14.3% under AWD but its absolute contribution to GWP was minor (4.2% of total).”

      Page 2

      “N₂O (t CO₂-eq/ha) | 0.18 | 0.16 | +14.3”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • The net global warming potential (GWP) decreased by 34.2%, falling from 4.62 to 3.04 t CO2-eq ha-1 under AWD. View evidence ↗

      What they found

      The net global warming potential (GWP) decreased by 34.2%, falling from 4.62 to 3.04 t CO2-eq ha-1 under AWD.

      In the paper's own words

      “Net GWP fell from 4.62 to 3.04 t CO2-eq ha-1 (−34.2%).”

      Page 2

      “Net GWP (t CO₂-eq/ha) | 3.04 | 4.62 | -34.2”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • There was no statistically significant difference in grain yield between AWD (5.87 t ha-1) and CF (6.04 t ha-1). View evidence ↗

      What they found

      There was no statistically significant difference in grain yield between AWD (5.87 t ha-1) and CF (6.04 t ha-1).

      In the paper's own words

      “Grain yield was statistically similar (5.87 vs. 6.04 t ha-1, p = 0.31).”

      Page 2

      “Grain yield (t/ha) | 5.87 | 6.04 | NS”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
    • Irrigation water use was reduced by 24% under AWD, decreasing from 1,142 mm to 868 mm. View evidence ↗

      What they found

      Irrigation water use was reduced by 24% under AWD, decreasing from 1,142 mm to 868 mm.

      In the paper's own words

      “Irrigation water use dropped by 24%, from 1,142 mm (CF) to 868 mm (AWD).”

      Page 2

      “Irrigation (mm) | 868 | 1,142 | -24.0”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Water productivity increased by 32.4%, rising from 0.74 to 0.98 kg grain m-3 under AWD. View evidence ↗

      What they found

      Water productivity increased by 32.4%, rising from 0.74 to 0.98 kg grain m-3 under AWD.

      In the paper's own words

      “Water productivity (kg/m³) | 0.98 | 0.74 | +32.4”

      Page 2

      Found in: Table 1

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors conclude that AWD is a zero-cost strategy for rice growers in western India to mitigate climate impact while improving water productivity. View evidence ↗

      What it means

      The authors conclude that AWD is a zero-cost strategy for rice growers in western India to mitigate climate impact while improving water productivity.

      In the paper's own words

      “For rice growers in western India, AWD is a straightforward, zero-cost climate mitigation strategy that simultaneously improves water productivity.”

      Page 2

      Found in: Conclusion

      Read it in the full textOpen PDF at page 2 ↗
    • The authors state that further multi-season monitoring and testing on heavier clay soils are needed to expand the applicability of these recommendations. View evidence ↗

      What it means

      The authors state that further multi-season monitoring and testing on heavier clay soils are needed to expand the applicability of these recommendations.

      In the paper's own words

      “Multi-season monitoring and testing on heavier clay soils will broaden the recommendation domain [15, 16, 17].”

      Page 2

      Found in: Conclusion

      Read it in the full textOpen PDF at page 2 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (rice plants in paddy soil). It explains the idea and does not show study data.↗ Enlarge
AWD vs CF Irrigation Cycle
AI-generated conceptual illustration (rice plants in paddy soil). It explains the idea and does not show study data.

AI-generated conceptual illustration (rice plants in paddy soil). It explains the idea and does not show study data.

Open full-size image ↗

AWD vs CF Irrigation Cycle

AI-generated conceptual illustration (rice plants in paddy soil). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
CH₄ (t CO₂-eq/ha): AWD vs CF
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

CH₄ (t CO₂-eq/ha): AWD vs CF

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Net GWP (t CO₂-eq/ha): AWD vs CF
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Net GWP (t CO₂-eq/ha): AWD vs CF

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Seasonal greenhouse gas emissions, yield, and water useTable 1Page 2Proportional contribution of emission sources to total GWPFigure 1Page 2Cumulative CH₄ emissions over the crop season underFigure 2Page 2
FULL TEXT Original article · reflowed for reading

Introduction

From a purely economic angle, flooding a rice paddy is wasteful: up to 40% of applied water is lost through seepage and evaporation without contributing to grain fill [1] . From a climate angle, it's worse: standing water creates the anaerobic conditions that methanogenic archaea need to convert soil organic carbon into CH 4 , making irrigated rice responsible for roughly 10% of global agricultural methane [2] . Alternate wetting and drying (AWD) breaks this cycle by allowing the soil to dry to a threshold (typically 15 cm below the surface) before re-flooding. The aerobic intervals suppress methanogenesis and may even promote methane oxidation by methanotrophs in the surface layer [3,4] . Trials across Southeast Asia have reported 20-50% CH 4 reduction with yield losses of 0-5% [5] . But data from western India-where high ambient temperatures and sandy loam soils may alter gas dynamics-are limited [6] . This research aimed to (i) quantify season-long CH 4 and N 2 O fluxes under AWD versus CF in transplanted rice on a sandy loam Entisol, (ii) calculate the net global warming potential and greenhouse gas intensity, and (iii) measure the water saving and its effect on water productivity.

Water Balance and Irrigation Protocol

In the CF treatment, 5±2 cm of standing water was maintained from transplanting to 14 days before harvest. In AWD, the field was flooded to 5 cm, then allowed to drain until the water table dropped to 15 cm below the surface (monitored by perforated PVC observation tubes installed in each plot) before re-flooding. Irrigation volumes were measured by inline flow meters. Rainfall was logged by an on-site tipping-bucket gauge. Effective rainfall was calculated as total rainfall minus runoff (estimated at 15% for the sandy loam soil) [7] .

Greenhouse Gas Measurement Protocol

Fluxes were measured weekly using static closed chambers (40 cm × 40 cm × 60 cm acrylic) placed on permanent aluminium bases. Gas samples (20 mL) were drawn at 0, 15, and 30 minutes after closure with polypropylene syringes and analysed within 24 hours on a Shimadzu GC-2014 equipped with FID (CH 4 ) and ECD (N 2 O) detectors. Fluxes were calculated from the linear rate of concentration increase and converted to CO 2 -equivalents using IPCC AR5 GWP factors (CH 4 = 28, N 2 O = 265) [8] .

Materials and Methods

Materials and Methods

Materials

The trial was established on a sandy loam Entisol (pH 7.4, OC 0.52%) at the Anand Agricultural University research farm (22°35′ N, 72°55′ E, 45 m a.s.l.). Two water management treatments (AWD and CF) were laid out in a randomised block design with four replications, plot size 10 m × 8 m separated by 1.5 m bunds lined with polythene to prevent lateral seepage. Rice variety 'GR-11' was transplanted at 20 cm × 15 cm in July of each year. Fertiliser: 120:60:40 kg N:P 2 O 5 :K 2 O ha -1 . Research covered Kharif 2022 and 2023 [9] .

Methods

Grain yield was harvested from the central 6 m × 6 m area at 14% moisture. Seasonal cumulative emissions were obtained by trapezoidal integration of weekly fluxes. Global warming potential (GWP) = cumulative CH 4 + cumulative N 2 O in CO 2 -eq. Greenhouse gas intensity (GHGI) = GWP / grain yield. Water productivity = grain yield / total water input. Data were analysed by paired t-test and ANOVA in R (v4.3.1). 4 by 38.7% (Table 1). The reduction was most pronounced during the tillering-topanicle initiation period, when CF plots had the deepest standing water and highest CH 4 fluxes. N 2 O increased by 14.3% under AWD but its absolute contribution to GWP was minor (4.2% of total). Net GWP fell from 4.62 to 3.04 t CO 2 -eq ha -1 (-34.2%). Grain yield was statistically similar (5.87 vs. 6.04 t ha -1 , p = 0.31). Irrigation water use dropped by 24%, from 1,142 mm (CF) to 868 mm (AWD). Comprehensive Interpretation GHGI dropped from 0.77 to 0.52 kg CO 2 -eq per kg grain under AWD, meaning each kilogram of rice produced 33% less warming impact. This metric is arguably more relevant than per-hectare GWP for climate policy because it accounts for maintained productivity [10] .

Table 1. Seasonal greenhouse gas emissions, yield, and water use
ParameterAWDCFChange (%)
CH₄ (t CO₂-eq/ha)2.514.10-38.7
N₂O (t CO₂-eq/ha)0.180.16+14.3
Net GWP (t CO₂-eq/ha)3.044.62-34.2
Grain yield (t/ha)5.876.04NS
Irrigation (mm)8681,142-24.0
Water productivity (kg/m³)0.980.74+32.4

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Seasonal greenhouse gas emissions, yield, and water use↗ Enlarge
Table 1
Seasonal greenhouse gas emissions, yield, and water use

Seasonal greenhouse gas emissions, yield, and water use

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Results

Results

AWD reduced seasonal CH

AWD reduced seasonal CH

Discussion

The 38.7% CH 4 reduction is within the 20-48% range reported in a global meta-analysis of AWD trials [5] and close to the 35-42% seen on alluvial soils in Bihar [11] . The N 2 O trade-off (14.3% increase) is expected because drying cycles create aerobic microsites where nitrifying bacteria convert NH 4+ to NO 3-, some of which is subsequently denitrified to N 2 O [4] . But the absolute N 2 O increase (0.02 t CO 2 -eq ha -1 ) was dwarfed by the CH 4 saving (1.59 t CO 2 -eq ha -1 ), so the net climate benefit was strongly positive [12] . The 24% water saving translates to roughly 274 mm per season, enough to irrigate an additional 0.3 ha of a second crop-an important consideration for water-scarce districts of Gujarat [13] . The non-significant yield difference confirms that the 15 cm AWD threshold used here was safe for GR-11; more aggressive drying (to 20-25 cm) has shown yield penalties in some cultivars and should be tested separately [14] .

Conclusion

AWD irrigation cut seasonal methane by 39% and net GWP by 34% without yield loss on a sandy loam Entisol in Gujarat, while saving 24% of irrigation water. The N 2 O trade-off was minor. For rice growers in western India, AWD is a straightforward, zero-cost climate mitigation strategy that simultaneously improves water productivity. Extension efforts should target the installation of simple observation tubes-the only additional hardware neededand train farmers to read water-table depth. Multi-season monitoring and testing on heavier clay soils will broaden the recommendation domain [15,16,17] .

Figures and tables from the paper

Figure 1. Proportional contribution of emission sources to total GWP
Proportional contribution of emission sources to total GWP↗ Enlarge
Figure 1
Proportional contribution of emission sources to total GWP

Proportional contribution of emission sources to total GWP

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 2. Cumulative CH₄ emissions over the crop season under
Cumulative CH₄ emissions over the crop season under↗ Enlarge
Figure 2
Cumulative CH₄ emissions over the crop season under

Cumulative CH₄ emissions over the crop season under

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

References

17 in the original paper
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  8. IPCC. Climate change 2013: the physical science basis. Cambridge University Press. Cambridge; 2013.
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