By organism › Green plants › Poaceae › Oryza sativa

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

The consortium increased nitrogen release from rice straw by 16.13% relative to the control.

Taxon: riceOryza sativae1
Treatment: The consortiume1
Outcome: nitrogen (N) releasee1
Direction: increasede1
Value: 16.13%e1
Comparator: the controle1

Verbatim

e1
“The consortium significantly enhanced rice straw degradation by 37.18% and increased nitrogen (N) release by 16.13% compared to the control”
✓ located verbatim in the source · abstract, characters 692–831

Title

Construction and Functional Validation of a Cross-Niche Multifunctional Microbial Consortium for Straw-Returning Agricultural Systems

Shu Jia; Hang Qu; Bo Li; et al. Microorganisms 2026. doi:10.3390/microorganisms14010135

Other claims from this paper (9)

Method / resource The four-strain Bacillus consortium showed manganese peroxidase of 7709.33 U/L.
Method / resource The four-strain Bacillus consortium showed laccase of 450.65 U/L.
Method / resource The four-strain Bacillus consortium showed endo-β-1,4-glucanase of 154.67 U/mL.
Method / resource The four-strain Bacillus consortium showed filter paper activity of 309.18 U/L.
Intervention effect The consortium significantly enhanced rice straw degradation by 37.18% relative to the control.
Intervention effect The consortium inhibited Magnaporthe oryzae with a 67.56% inhibition rate.
Intervention effect The consortium reduced the incidence rate and disease index of leaf blast and panicle blast.
Intervention effect In field trials the consortium applied alone increased rice grain yield by 9.63% and 6.94%.
Intervention effect In field trials the consortium co-applied with straw residues increased rice grain yield by 6.75% and 5.18%.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In field trials the consortium applied alone increased rice grain yield by 9.63% and 6.94%.

Taxon: riceOryza sativae1
Treatment: applied alonee1
Outcome: grain yielde1
Direction: increasese1
Value: 9.63% and 6.94%e1
Setting: Field trialse1

Not reportedComparator

Verbatim

e1
“Field trials revealed increases in the rice grain yield of 9.63% and 6.94% when applied alone and 6.75% and 5.18% when co-applied with straw residues”
✓ located verbatim in the source · abstract, characters 1007–1156

Title

Construction and Functional Validation of a Cross-Niche Multifunctional Microbial Consortium for Straw-Returning Agricultural Systems

Shu Jia; Hang Qu; Bo Li; et al. Microorganisms 2026. doi:10.3390/microorganisms14010135

Other claims from this paper (9)

Method / resource The four-strain Bacillus consortium showed manganese peroxidase of 7709.33 U/L.
Method / resource The four-strain Bacillus consortium showed laccase of 450.65 U/L.
Method / resource The four-strain Bacillus consortium showed endo-β-1,4-glucanase of 154.67 U/mL.
Method / resource The four-strain Bacillus consortium showed filter paper activity of 309.18 U/L.
Intervention effect The consortium significantly enhanced rice straw degradation by 37.18% relative to the control.
Intervention effect The consortium increased nitrogen release from rice straw by 16.13% relative to the control.
Intervention effect The consortium inhibited Magnaporthe oryzae with a 67.56% inhibition rate.
Intervention effect The consortium reduced the incidence rate and disease index of leaf blast and panicle blast.
Intervention effect In field trials the consortium co-applied with straw residues increased rice grain yield by 6.75% and 5.18%.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In field trials the consortium co-applied with straw residues increased rice grain yield by 6.75% and 5.18%.

Taxon: riceOryza sativae1
Treatment: co-applied with straw residuese1
Outcome: grain yielde1
Direction: increasese1
Value: 6.75% and 5.18%e1
Setting: Field trialse1

Not reportedComparator

Verbatim

e1
“Field trials revealed increases in the rice grain yield of 9.63% and 6.94% when applied alone and 6.75% and 5.18% when co-applied with straw residues”
✓ located verbatim in the source · abstract, characters 1007–1156

Title

Construction and Functional Validation of a Cross-Niche Multifunctional Microbial Consortium for Straw-Returning Agricultural Systems

Shu Jia; Hang Qu; Bo Li; et al. Microorganisms 2026. doi:10.3390/microorganisms14010135

Other claims from this paper (9)

Method / resource The four-strain Bacillus consortium showed manganese peroxidase of 7709.33 U/L.
Method / resource The four-strain Bacillus consortium showed laccase of 450.65 U/L.
Method / resource The four-strain Bacillus consortium showed endo-β-1,4-glucanase of 154.67 U/mL.
Method / resource The four-strain Bacillus consortium showed filter paper activity of 309.18 U/L.
Intervention effect The consortium significantly enhanced rice straw degradation by 37.18% relative to the control.
Intervention effect The consortium increased nitrogen release from rice straw by 16.13% relative to the control.
Intervention effect The consortium inhibited Magnaporthe oryzae with a 67.56% inhibition rate.
Intervention effect The consortium reduced the incidence rate and disease index of leaf blast and panicle blast.
Intervention effect In field trials the consortium applied alone increased rice grain yield by 9.63% and 6.94%.

Intervention effectobservedreview summarypositivemeasured

Claim · model-written summary

Regenerative rice saves 45-60% of water across 16 reviewed studies.

Taxon: riceOryza sativat0
Treatment: Regenerative ricet0
Outcome: watere0
Direction: savese0
Value: 45-60%e0

Not reportedComparator

Verbatim

t0
“Regenerative rice farming”
✓ located verbatim in the source · title, characters 0–25

e0
“Regenerative rice saves 45-60% of water (n=16 studies)”
✓ located verbatim in the source · abstract, characters 182–236

Title

Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review

G.L. Sawargaonkar; S. Rakesh; S. Kale; et al. Results in Engineering 2026. doi:10.1016/j.rineng.2026.109197

Other claims from this paper (3)

Intervention effect Regenerative rice reduces methane emissions by 34-78% across 9 reviewed studies.
Intervention effect Regenerative rice reduces energy consumption by 6.4-42.5% across 9 reviewed studies.
Observation Traditional transplanted puddled rice cultivation consumes 1000-2000 mm of water.

Intervention effectobservedreview summarypositivemeasured

Claim · model-written summary

Regenerative rice reduces methane emissions by 34-78% across 9 reviewed studies.

Taxon: riceOryza sativat0
Treatment: Regenerative ricet0
Outcome: methane emissionse0
Direction: reducese0
Value: 34-78%e0

Not reportedComparator

Verbatim

t0
“Regenerative rice farming”
✓ located verbatim in the source · title, characters 0–25

e0
“reduces methane emissions 34-78% (n= 9 studies)”
✓ located verbatim in the source · abstract, characters 238–285

Title

Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review

G.L. Sawargaonkar; S. Rakesh; S. Kale; et al. Results in Engineering 2026. doi:10.1016/j.rineng.2026.109197

Other claims from this paper (3)

Intervention effect Regenerative rice saves 45-60% of water across 16 reviewed studies.
Intervention effect Regenerative rice reduces energy consumption by 6.4-42.5% across 9 reviewed studies.
Observation Traditional transplanted puddled rice cultivation consumes 1000-2000 mm of water.

Intervention effectobservedreview summarypositivemeasured

Claim · model-written summary

Regenerative rice reduces energy consumption by 6.4-42.5% across 9 reviewed studies.

Taxon: riceOryza sativat0
Treatment: Regenerative ricet0
Outcome: energy consumptione0
Direction: reducese0
Value: 6.4-42.5%e0

Not reportedComparator

Verbatim

t0
“Regenerative rice farming”
✓ located verbatim in the source · title, characters 0–25

e0
“reduces methane emissions 34-78% (n= 9 studies) and energy consumption 6.4-42.5% (n=9 studies)”
✓ located verbatim in the source · abstract, characters 238–332

Title

Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review

G.L. Sawargaonkar; S. Rakesh; S. Kale; et al. Results in Engineering 2026. doi:10.1016/j.rineng.2026.109197

Other claims from this paper (3)

Intervention effect Regenerative rice saves 45-60% of water across 16 reviewed studies.
Intervention effect Regenerative rice reduces methane emissions by 34-78% across 9 reviewed studies.
Observation Traditional transplanted puddled rice cultivation consumes 1000-2000 mm of water.

Observationobservedreview summarymeasured

Claim · model-written summary

Traditional transplanted puddled rice cultivation consumes 1000-2000 mm of water.

Taxon: riceOryza sativat0
Outcome: watere0
Value: 1000–2000 mme0

Verbatim

t0
“Regenerative rice farming”
✓ located verbatim in the source · title, characters 0–25

e0
“Traditional transplanted puddled rice cultivation consumes 1000–2000 mm of water”
✓ located verbatim in the source · abstract, characters 99–179

Title

Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review

G.L. Sawargaonkar; S. Rakesh; S. Kale; et al. Results in Engineering 2026. doi:10.1016/j.rineng.2026.109197

Other claims from this paper (3)

Intervention effect Regenerative rice saves 45-60% of water across 16 reviewed studies.
Intervention effect Regenerative rice reduces methane emissions by 34-78% across 9 reviewed studies.
Intervention effect Regenerative rice reduces energy consumption by 6.4-42.5% across 9 reviewed studies.

Intervention effectobservedreview summaryno effectmeasured

Claim · model-written summary

A spray drone application gave weed control in rice similar to a knapsack manual sprayer despite reduced spray volume, coverage and droplet deposits.

Taxon: riceOryza sativae1
Treatment: spray drone applicatione1
Outcome: weed controle1
Direction: similare1
Comparator: knapsack manual sprayere1

Verbatim

e1
“Paul et al. observed similar weed control in rice from a spray drone application compared to a knapsack manual sprayer”
✓ located verbatim in the source · abstract, characters 608–726

Title

Editorial: Innovative technology and techniques for effective weed control

Thomas R. Butts; Simerjeet Virk; Tom Wolf; et al. Frontiers in Agronomy 2026. doi:10.3389/fagro.2026.1783794

Other claims from this paper (5)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Of the 182 markers, 172 (94.5%) amplified and were polymorphic between rice and the CC-genome accessions, corresponding to an average marker interval of about 2.17 Mb across the rice genome.

Taxon: riceOryza sativae0
Outcome: successfully amplified and exhibited polymorphisme0
Value: 172 markers (94.5%)e0
Qualifier: average marker interval of ~2.17Mbe0
Comparator: the CC-genome accessionse0

Verbatim

e0
“Out of 182 markers, 172 markers (94.5%) successfully amplified and exhibited polymorphism between rice and the CC-genome accessions, corresponding to an average marker interval of ~2.17Mb across the rice genome”
✓ located verbatim in the source · abstract, characters 1064–1274

Title

Development and validation of genome-wide polymorphic InDel marker set for harnessing the CC-genome wild rice species in the genus Oryza

Patricia Izabelle M. Lopez; Sherry Lou Hechanova; Charng-Pei Li; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1733586

Other claims from this paper (5)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Validation of the yield model for rice gave r values of 0.51.

Taxon: riceOryza sativat0
Outcome: r valuese0
Value: 0.51e0

Verbatim

e0
“r values of 0.39, 0.51, and 0.52”
✓ located verbatim in the source · abstract, characters 857–889

t0
“rice”
✓ located verbatim in the source · title, characters 14–18

Title

A 10 m maize, rice and soybean yield dataset from 2016 to 2021 in Northeast China

Fei Teng; Minglei Wang; Wenjiao Shi; et al. Scientific Data 2026. doi:10.1038/s41597-026-06719-0

Other claims from this paper (9)

Method / resource A yield dataset at 10 m resolution was produced for major maize, rice and soybean regions of Northeast China for 2016 to 2021, with a method that estimates yields without field measurements.
Method / resource Validation of the yield model for maize gave r values of 0.39.
Method / resource Validation of the yield model for maize gave MREs of 12.14%.
Method / resource Validation of the yield model for maize gave rRMSEs of 16.97%.
Method / resource Validation of the yield model for rice gave MREs of 11.96%.
Method / resource Validation of the yield model for rice gave rRMSEs of 16.12%.
Method / resource Validation of the yield model for soybean gave r values of 0.52.
Method / resource Validation of the yield model for soybean gave MREs of 14.06%.
Method / resource Validation of the yield model for soybean gave rRMSEs of 17.26%.

Oryza sativa 577,275 claims

577,275 claims