Search claims · PlantClaims

Method / resourceobservedoriginal resultpositiveprojected

Claim · model-written summary

Long-term good agronomy could increase nitrogen use efficiency to 84%.

Outcome: nitrogen use efficiencye0
Value: 84%e0

Verbatim

e0
“improve nitrogen use efficiency (to 84%)”
✓ located verbatim in the source · abstract, characters 1447–1487

Title

Scope and strategies for sustainable intensification of potato production in Northern China

Na Wang; Pytrik Reidsma; Martin K. van Ittersum Agronomy Journal 2020. doi:10.1002/agj2.20269

Other claims from this paper (5)

Recommendation Short-term soil nitrogen mining could reduce fertilizer input, improve nitrogen efficiency and reduce surplus.
Recommendation Higher yield could increase potato water productivity.
Recommendation Better irrigation and rainfall management could reduce water surplus.
Method / resource Long-term good agronomy could raise potato yield from 33–43 to 46–57 t FM ha −1.
Method / resource Long-term good agronomy could lower nitrogen surplus from 50–156 to 16–34 kg N ha −1.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Dry matter weight, root/shoot ratio, N content, N accumulation, N-use efficiency and N use index were selected as nitrogen efficiency parameters.

Taxon: peanutArachis hypogaeat0
Outcome: N efficiency parameterse0
Value: dry matter weight, root/shoot ratio, N content, N accumulation, N-use efficiency, and N use indexe0

Verbatim

e0
“dry matter weight, root/shoot ratio, N content, N accumulation, N-use efficiency, and N use index were considered to be the N efficiency parameters”
✓ located verbatim in the source · abstract, characters 687–834

t0
“Peanut”
✓ located verbatim in the source · title, characters 117–123

Title

Establishment of a Comprehensive Evaluation System for Low Nitrogen and Screening of Nitrogen-Efficient Germplasm in Peanut

Ping Zhang; Dongming Gang; Yanliang Wang; et al. Horticulturae 2024. doi:10.3390/horticulturae10070669

Other claims from this paper (3)

Method / resource The authors identified 0.15 mM N for 24 days as the optimal seedling nitrogen efficiency screening condition.
Method / resource A regression model was established for nitrogen efficiency evaluation.
Method / resource Nitrogen-efficient and nitrogen-inefficient peanut genotypes were screened from the germplasm.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

ALG consistently improved nitrogen use efficiency indices versus TRD.

Taxon: sorghumSorghume1
Outcome: Nitrogen Use Efficiency (NUE)e0
Comparator: TRDe2

Verbatim

e0
“the indices calculated to evaluate the Nitrogen Use Efficiency (NUE) were consistently better in the ALG theses”
✓ located verbatim in the source · abstract, characters 1465–1576

e1
“sorghum crop”
✓ located verbatim in the source · abstract, characters 736–748

e2
“traditional application of fertilizer (TRD)”
✓ located verbatim in the source · abstract, characters 591–634

Title

Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization

Nicola Silvestri; Leonardo Ercolini; Nicola Grossi; et al. Precision Agriculture 2024. doi:10.1007/s11119-024-10185-2

Other claims from this paper (8)

Method / resource ALG saved 14 kg ha − 1 nitrogen in non-manured sorghum plots versus TRD.
Method / resource ALG saved 5 kg ha − 1 nitrogen in fertilized sorghum plots versus TRD.
Method / resource After ALG fertilization, NDVI relative standard deviation fell from 22 to 9% in manured plots.
Method / resource After ALG fertilization, NDVI relative standard deviation fell from 34 to 14% in unmanured plots.
Observation TRD NDVI relative standard deviation changed from 16 to 17% in manured plots.
Observation TRD NDVI relative standard deviation changed from 29 to 18% in unmanured plots.
Method / resource ALG and TRD yielded statistically equivalent aboveground biomass in manured plots.
Method / resource ALG yielded significantly more biomass than TRD in unmanured plots, by 0.74 t ha − 1 dry matter or 23%.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The nitrogen-difference calculation gave nitrogen use efficiency 6.6–31.3% higher than the 15N tracer technique.

Taxon: mung beanVigna radiatat0
Outcome: nitrogen use efficiency calculated based on nitrogen differencee0
Direction: highere0
Value: 6.6–31.3%e0
Comparator: 15N tracer techniquee0

Verbatim

e0
“The nitrogen use efficiency calculated based on nitrogen difference was 6.6–31.3% higher than that based on 15N tracer technique.”
✓ located verbatim in the source · abstract, characters 1424–1553

t0
“mung bean”
✓ located after whitespace/quote normalisation · title, characters 65–74

Title

Determining Nitrogen Accumulation and Nitrogen Use Efficiency of Mung Bean with Organic Nitrogen and ¹⁵N-labeled Chemical Fertilizer

Ji Xianglong; Wang Peng; He Xiaolei; et al. Communications in Soil Science and Plant Analysis 2022. doi:10.1080/00103624.2022.2046024

Other claims from this paper (19)

Intervention effect N2 had the highest yield among N0 to N3.
Association Rhizobia fresh weight declined as 15N increased.
Intervention effect ON1 improved 1000-grain weight, yield and grain crude protein content relative to N2.
Intervention effect ON2 improved 1000-grain weight, yield and grain crude protein content relative to N2.
Observation Mung bean obtained more soil nitrogen before R1 than during other growth periods.
Observation Absorbed nitrogen was exchanged out through root-Rhizobia interaction later in development.
Observation Mung bean accumulated more soil nitrogen again at R8.
Intervention effect N2 had the largest root-to-grain 15N translocation rate.
Association Nitrogen use efficiency increased with chemical nitrogen, reaching 14.0% in N1.
Association Nitrogen use efficiency increased with chemical nitrogen, reaching 22.5% in N2.
Association Nitrogen use efficiency increased with chemical nitrogen, reaching 26.1% in N3.
Observation ON1 nitrogen use efficiency was 23.0%.
Observation The 15N repart coefficient in grains ranged from 50.4–56.7%.
Observation The 15N repart coefficient in shells ranged from 3.0–3.1%.
Observation The 15N repart coefficient in leaves ranged from 18.7–27.2%.
Observation The 15N repart coefficient in stems ranged from 14.3–15.4%.
Observation The 15N repart coefficient in roots ranged from 4.9–8.3%.
Recommendation The authors concluded organic nitrogen fertilizer could alleviate inhibition of Rhizobia and reduce soil nitrogen loss.
Recommendation The authors concluded organic nitrogen fertilizer could improve mung bean yield.

Method / resourceobservedoriginal resultbasis n/a

Claim · model-written summary

A nitrogen demand model based on N use efficiency was proposed.

Taxon: pakchoit0
Outcome: N demand model based on N use efficiencye0

Not reportedComparatorValue

Verbatim

e0
“an N demand model based on N use efficiency was proposed”
✓ located verbatim in the source · abstract, characters 1501–1557

t0
“pakchoi”
✓ located verbatim in the source · title, characters 34–41

Title

Study on nitrogen demand model in pakchoi (Brassica campestris ssp. Chinensis L.) based on nitrogen contents and phenotypic characteristics

Liying Chang; Xin Xiong; Muhammad Khalid Hameed; et al. Frontiers in Plant Science 2023. doi:10.3389/fpls.2023.1111216

Other claims from this paper (3)

Method / resourceauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The study provides actionable genetic resources for enhancing nitrogen use efficiency in maize production systems.

Taxon: MaizeZea mayst0
Outcome: actionable genetic resources for enhancing NUEe1

Not reportedComparator

Verbatim

t0
“Nitrogen Use Efficiency in Maize”
✓ located verbatim in the source · title, characters 79–111

e1
“This study provides actionable genetic resources for enhancing NUE in maize production systems”
✓ located verbatim in the source · abstract, characters 1491–1585

Title

Genetic Improvement and Functional Characterization of AAP1 Gene for Enhancing Nitrogen Use Efficiency in Maize

Mo Zhu; Ziyu Wang; Shijie Li; et al. Plants 2025. doi:10.3390/plants14142242

Other claims from this paper (9)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Analyses shortlisted eight parameters for the nitrogen use efficiency phenotype.

Taxon: riceOryza sativae1
Outcome: parameters for NUE phenotypee0
Value: eighte0

Verbatim

e0
“enabled shortlisting of eight parameters for NUE phenotype”
✓ located verbatim in the source · abstract, characters 1191–1249

e1
“six indica rice genotypes”
✓ located verbatim in the source · abstract, characters 273–298

Title

Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass

Narendra Sharma; Vimlendu Bhushan Sinha; N. Arun Prem Kumar; et al. Frontiers in Plant Science 2021. doi:10.3389/fpls.2020.587464

Other claims from this paper (10)

Observation Genotype variation in nitrogen response differed by form and dose and rose from vegetative to reproductive parameters.
Method / resource Principal component analysis separated vegetative parameters from reproduction and germination.
Intervention effect Normal nitrogen facilitated rice germination relative to low nitrogen.
Intervention effect Normal nitrogen facilitated flowering relative to low nitrogen.
Intervention effect Normal nitrogen facilitated vegetative growth relative to low nitrogen.
Intervention effect Normal nitrogen limited yield relative to low nitrogen.
Intervention effect Normal nitrogen limited nitrogen use efficiency relative to low nitrogen.
Method / resource Six shortlisted parameters were shared between nitrate and urea.
Method / resource Field validation confirmed nitrogen use efficiency differences between two selected genotypes.
Observation Thirty-four nitrogen responsive genes associated with the phenotype were identified.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Integrated analyses identified genes and metabolites associated with nitrogen use efficiency.

Taxon: sorghumSorghumt0
Outcome: key genes and metabolites associated with NUEe0

Not reportedComparatorValue

Verbatim

e0
“Overall, integrated transcriptome and metabolome analyses identified key genes and metabolites associated with NUE.”
✓ located verbatim in the source · abstract, characters 1405–1520

t0
“Transcriptomic and metabolomic unraveling of nitrogen use efficiency in sorghum: the quest for molecular adaptations to low-nitrogen stress”
✓ located verbatim in the source · title, characters 0–139

Title

Transcriptomic and metabolomic unraveling of nitrogen use efficiency in sorghum: the quest for molecular adaptations to low-nitrogen stress

Wendong Gu; Yihao Feng; Chang Liu; et al. Plant Growth Regulation 2025. doi:10.1007/s10725-025-01296-5

Other claims from this paper (17)

Intervention effect Nitrogen deficiency reduced plant height in both sorghum genotypes.
Intervention effect Nitrogen deficiency reduced root dry weight in both sorghum genotypes.
Intervention effect Nitrogen deficiency reduced leaf dry weight in both sorghum genotypes.
Intervention effect Nitrogen deficiency increased root length in both sorghum genotypes.
Association 398B had a stronger increase in root length than CS3541.
Association 398B had higher nitrogen uptake efficiency than CS3541.
Association 398B had higher nitrogen utilization efficiency than CS3541.
Observation Starch and sucrose metabolism was significantly enriched in both genotypes.
Observation Phenylpropanoid biosynthesis pathways were significantly enriched in both genotypes.
Observation NRT1/PTR6.3 was upregulated in 398B roots under nitrogen deficiency.
Observation NRT1/PTR6.4 was upregulated in 398B roots under nitrogen deficiency.
Mechanism The authors suggest these nitrate transporters facilitate nitrogen uptake.
Observation Phenolic acids accumulated in 398B leaves under low nitrogen.
Observation Flavonoids accumulated in 398B leaves under low nitrogen.
Observation Flavanols accumulated in 398B leaves under low nitrogen.
Observation Saccharides accumulated in 398B leaves under low nitrogen.
Mechanism The authors interpret leaf metabolite accumulation as indicating improved nitrogen utilization and assimilation.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Province-specific nitrogen adjustment could sustain nitrogen use efficiency at 90–110 kg kg −1.

Taxon: riceOryza sativat0
Outcome: N use efficiency (NUE)e0
Value: 90–110 kg kg −1e0

Verbatim

e0
“with province-specific adjustments, capable of improving farm profitability (70–110%) while sustaining high N use efficiency (NUE) (90–110 kg kg −1 )”
✓ located verbatim in the source · abstract, characters 1291–1440

t0
“rice”
✓ located verbatim in the source · title, characters 89–93

Title

A hybrid machine-learning and process-based regional crop modelling framework to improve rice production strategies under data constraints

Qiang Li; Xia Liang; Maofang Gao; et al. Computers and Electronics in Agriculture 2026. doi:10.1016/j.compag.2026.111885

Other claims from this paper (4)

Method / resource The PSO and DSSAT framework simulated rice growth and environmental impacts across Laos from 2012 to 2022.
Association High fertilizer prices relative to rice prices reduced the economically optimum nitrogen rate.
Method / resource The model identified a national nitrogen guidance range of 25–30 kg N ha −1.
Method / resource Province-specific nitrogen adjustment could improve farm profitability by 70–110%.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Field validation confirmed nitrogen use efficiency differences between two selected genotypes.

Taxon: riceOryza sativae1
Outcome: NUE differencese0
Comparator: two genotypese0

Verbatim

e0
“Field-validation confirmed the NUE differences between two genotypes chosen phenotypically”
✓ located verbatim in the source · abstract, characters 1381–1471

e1
“six indica rice genotypes”
✓ located verbatim in the source · abstract, characters 273–298

Title

Nitrogen Use Efficiency Phenotype and Associated Genes: Roles of Germination, Flowering, Root/Shoot Length and Biomass

Narendra Sharma; Vimlendu Bhushan Sinha; N. Arun Prem Kumar; et al. Frontiers in Plant Science 2021. doi:10.3389/fpls.2020.587464

Other claims from this paper (10)

Observation Genotype variation in nitrogen response differed by form and dose and rose from vegetative to reproductive parameters.
Method / resource Principal component analysis separated vegetative parameters from reproduction and germination.
Intervention effect Normal nitrogen facilitated rice germination relative to low nitrogen.
Intervention effect Normal nitrogen facilitated flowering relative to low nitrogen.
Intervention effect Normal nitrogen facilitated vegetative growth relative to low nitrogen.
Intervention effect Normal nitrogen limited yield relative to low nitrogen.
Intervention effect Normal nitrogen limited nitrogen use efficiency relative to low nitrogen.
Method / resource Analyses shortlisted eight parameters for the nitrogen use efficiency phenotype.
Method / resource Six shortlisted parameters were shared between nitrate and urea.
Observation Thirty-four nitrogen responsive genes associated with the phenotype were identified.

“nitrogen use efficiency”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

Statistics