Paper · 2023 · Soil Systems

Effects of Irrigation Regimes and Rice Varieties on Methane Emissions and Yield of Dry Season Rice in Bangladesh

Muhammad Ashraful Habib; S. M. Mofijul Islam; Md. Ashraful Haque; et al.

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claims
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verbatim quotes
34
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Open access · cc-by

Abstract

Adoption of the right rice variety and water-saving irrigation method could reduce greenhouse gas (GHG) emissions in lowland rice cultivation. A study was conducted at the research farm of Bangladesh Agricultural University, Mymensingh, Bangladesh, in 2019 during the Boro (dry) season to determine the impacts of different rice varieties (BRRI dhan29, BRRI dhan47, BRRI dhan69, Binadhan-8, Binadhan-10, and Binadhan-17) on methane (CH4) emissions under two irrigation methods, i.e., alternate wetting and drying (AWD) and continuous flooding (CF). The treatments were laid out in a split-plot design, considering water regime as the main plots and rice variety as the sub-plots. The emission rates of CH4 were determined by collecting air samples using the closed chamber technique and measuring the concentrations using a gas chromatograph. CH4 emission rates varied with the growth and development of the rice varieties. The lowest cumulative CH4 emission rate was observed in Binadhan-17, particularly under AWD irrigation. Across the rice varieties, AWD irrigation significantly reduced the cumulative CH4 emissions by about 35% compared with CF. No significant variation in rice yield was observed between AWD (5.38 t ha−1) and CF (5.16 t ha−1). This study suggests that the cultivation of Binadhan-17 under AWD irrigation could be effective at reducing the carbon footprint of lowland rice fields.

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Claims 5

Observationobservedoriginal resultmeasured

Claim · model-written summary

Methane emissions varied across rice growth and development.

Outcome
CH4 emission ratese0
Direction
variede0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“CH4 emission rates varied with the growth and development of the rice varieties”

✓ located verbatim in the source · abstract, characters 843–922 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Binadhan-17 had the lowest cumulative methane emissions, particularly with AWD irrigation.

Material
Binadhan-17e0
Treatment
AWD irrigatione0
Outcome
cumulative CH4 emission ratee0
Direction
loweste0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“The lowest cumulative CH4 emission rate was observed in Binadhan-17, particularly under AWD irrigation”

✓ located verbatim in the source · abstract, characters 924–1026 · show in text ↑
e1

“different rice varieties (BRRI dhan29”

✓ located verbatim in the source · abstract, characters 314–351 · show in text ↑
Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

AWD reduced cumulative methane emissions about 35% against continuous flooding.

Treatment
AWD irrigatione0
Outcome
cumulative CH4 emissionse0
Direction
reducede0
Value
about 35%e0
Comparator
CFe0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“Across the rice varieties, AWD irrigation significantly reduced the cumulative CH4 emissions by about 35% compared with CF”

✓ located verbatim in the source · abstract, characters 1028–1150 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Rice yield did not vary significantly between AWD and CF, at 5.38 and 5.16 t ha−1.

Treatment
AWDe0
Outcome
rice yielde0
Direction
No significant variatione0
Value
5.38 t ha−1e0
Qualifier
5.16 t ha−1e0
Comparator
CFe0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“No significant variation in rice yield was observed between AWD (5.38 t ha−1) and CF (5.16 t ha−1)”

✓ located verbatim in the source · abstract, characters 1152–1250 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors suggest Binadhan-17 under AWD to reduce lowland rice carbon footprint.

Material
Binadhan-17e0
Treatment
AWD irrigatione0
Outcome
reducing the carbon footprint of lowland rice fieldse0
Direction
reducinge0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Oryza sativa
Oryza sativa · Taxon · picture from its Wikimedia Commons categoryDesmanthus4food · CC BY-SA 3.0 us · Wikimedia Commons ↗

Verbatim

e0

“the cultivation of Binadhan-17 under AWD irrigation could be effective at reducing the carbon footprint of lowland rice fields”

✓ located verbatim in the source · abstract, characters 1277–1403 · show in text ↑

irrigation · environment: emissions · Oryza sativa (rice)Positive and negative results

127 papers: 109 positive, 18 negative or no effect

108 papers in the same direction as this paper · 17 in the opposite direction · 1 reporting no difference from an alternative

  1. no effect
  2. positive
  3. positive

123 papers more in this group

See all 127 papers →

irrigation · yield · Oryza sativa (rice)Positive and negative results

1,171 papers: 906 positive, 265 negative or no effect

264 papers in the same direction as this paper · 906 reporting no difference from an alternative

  1. positive
  2. no effect
  3. no effect

1,167 papers more in this group

See all 1,171 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.