Intervention effect 1,925,677 claims

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Compared with T1, T4 increased irrigation water productivity by 9.17 %.

Taxon
Brassica napusBrassica napust0
Treatment
T4e0
Outcome
irrigation water productivitye0
Direction
increasede0
Value
9.17 %e0
Comparator
T1e0

Verbatim

t0

“Brassica napus”

✓ located verbatim in the source · title, characters 19–33
e0

“Compared with T1, T3 and T4 increased shoot yield by 17.1 % and 9.31 %, irrigation water productivity (WP I ) by 17.1 % and 9.17 %, and partial factor productivity of N fertilizer (PFP N ) by 1.62 % and 7.63 %”

✓ located verbatim in the source · abstract, characters 1244–1453

Title

Toward sustainable Brassica napus production: Optimizing fertilization regimes for yield, water, and nutrient efficiency

Qiang Zheng; Peng Song; Xin Wang; et al. Agricultural Water Management 2026. doi:10.1016/j.agwat.2026.110145

Other claims from this paper (13)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Compared with T1, T3 increased partial factor productivity of N fertilizer by 1.62 %.

Taxon
Brassica napusBrassica napust0
Treatment
T3e0
Outcome
partial factor productivity of N fertilizere0
Direction
increasede0
Value
1.62 %e0
Comparator
T1e0

Verbatim

t0

“Brassica napus”

✓ located verbatim in the source · title, characters 19–33
e0

“Compared with T1, T3 and T4 increased shoot yield by 17.1 % and 9.31 %, irrigation water productivity (WP I ) by 17.1 % and 9.17 %, and partial factor productivity of N fertilizer (PFP N ) by 1.62 % and 7.63 %”

✓ located verbatim in the source · abstract, characters 1244–1453

Title

Toward sustainable Brassica napus production: Optimizing fertilization regimes for yield, water, and nutrient efficiency

Qiang Zheng; Peng Song; Xin Wang; et al. Agricultural Water Management 2026. doi:10.1016/j.agwat.2026.110145

Other claims from this paper (13)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Compared with T1, T4 increased partial factor productivity of N fertilizer by 7.63 %.

Taxon
Brassica napusBrassica napust0
Treatment
T4e0
Outcome
partial factor productivity of N fertilizere0
Direction
increasede0
Value
7.63 %e0
Comparator
T1e0

Verbatim

t0

“Brassica napus”

✓ located verbatim in the source · title, characters 19–33
e0

“Compared with T1, T3 and T4 increased shoot yield by 17.1 % and 9.31 %, irrigation water productivity (WP I ) by 17.1 % and 9.17 %, and partial factor productivity of N fertilizer (PFP N ) by 1.62 % and 7.63 %”

✓ located verbatim in the source · abstract, characters 1244–1453

Title

Toward sustainable Brassica napus production: Optimizing fertilization regimes for yield, water, and nutrient efficiency

Qiang Zheng; Peng Song; Xin Wang; et al. Agricultural Water Management 2026. doi:10.1016/j.agwat.2026.110145

Other claims from this paper (13)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Harvest-synchronized fertigation enhanced regrowth.

Taxon
Brassica napusBrassica napust0
Treatment
Harvest-synchronized fertigatione0
Outcome
regrowthe0
Direction
enhancede0

Not reportedComparator

Verbatim

t0

“Brassica napus”

✓ located verbatim in the source · title, characters 19–33
e0

“Harvest-synchronized fertigation enhanced regrowth and shoot yield”

✓ located verbatim in the source · abstract, characters 2066–2132

Title

Toward sustainable Brassica napus production: Optimizing fertilization regimes for yield, water, and nutrient efficiency

Qiang Zheng; Peng Song; Xin Wang; et al. Agricultural Water Management 2026. doi:10.1016/j.agwat.2026.110145

Other claims from this paper (13)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

At 1.19 x 10^6 spores per mL of the MXBP304 spore suspension, 88% of Chenopodium glaucum seeds failed to germinate.

Taxon
C . glaucumOxybasis glaucae0
Treatment
1.19 × 10 6 spores mL −1e0
Interactor
C . glaucumOxybasis glaucae0weed
Second interactor
MXBP304e1biocontrol_agent
Outcome
germinatee0
Direction
failed to germinatee0
Value
Eighty‐eight percente0

Not reportedComparator

Verbatim

e0

“Eighty‐eight percent of C . glaucum failed to germinate at 1.19 × 10 6 spores mL −1”

✓ located verbatim in the source · abstract, characters 605–688
e1

“Strain MXBP304”

✓ located verbatim in the source · abstract, characters 369–383

Title

Evaluating biocontrol potential and whole‐genome sequencing of a new species from Mortierella genus: a promising pre‐emergence bioherbicide in Medicago sativa

Yufang Xu; Xuzheng Yin; Xihu Qie; et al. Pest Management Science 2026. doi:10.1002/ps.70486

Other claims from this paper (7)
Intervention effectobservedoriginal resultno effectmeasured

Claim · model-written summary

The inhibitory effect of the spore suspension on weed germination did not differ from that of commercial pendimethalin.

Taxon
Chenopodium glaucumOxybasis glaucae1
Interactor
Chenopodium glaucumOxybasis glaucae1weed
Outcome
inhibitory effecte0
Direction
did not differe0
Comparator
commercial pendimethaline0

Not reportedTreatment

Verbatim

e0

“the inhibitory effect did not differ from that of commercial pendimethalin”

✓ located verbatim in the source · abstract, characters 695–769
e1

“Chenopodium glaucum is one of the most serious weeds”

✓ located verbatim in the source · abstract, characters 20–72

Title

Evaluating biocontrol potential and whole‐genome sequencing of a new species from Mortierella genus: a promising pre‐emergence bioherbicide in Medicago sativa

Yufang Xu; Xuzheng Yin; Xihu Qie; et al. Pest Management Science 2026. doi:10.1002/ps.70486

Other claims from this paper (7)
Intervention effectobservedreview summarypositivemeasured

Claim · model-written summary

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

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 effectobservedreview summarypositivemeasured

Claim · model-written summary

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

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 effectobservedreview summarypositivemeasured

Claim · model-written summary

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

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 effectobservedoriginal resultno effectmeasured

Claim · model-written summary

Row spacing and plant removal patterns had minimal effects on UAV prediction error.

Taxon
soybeanGlycine maxt0
Treatment
Row spacing and plant removal patternse1
Outcome
prediction errore1
Direction
minimal effectse1

Not reportedComparator

Verbatim

t0

“stand counts in soybean”

✓ located verbatim in the source · title, characters 41–64
e1

“Row spacing and plant removal patterns had minimal effects on prediction error”

✓ located verbatim in the source · abstract, characters 1393–1471

Title

Optimizing unmanned aerial vehicle–based stand counts in soybean: Effects of flight timing, altitude, and analytical method

Salem Ermish; Rachel Vann; Jason Ward; et al. Agronomy Journal 2026. doi:10.1002/agj2.70303

Other claims from this paper (7)