Search claims · PlantClaims

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Nitrogen index reflected nitrogen use efficiency at all nitrogen rates.

Taxon: summer maizeZea mayse1
Outcome: nitrogen use efficiencye0

Not reportedComparatorValue

Verbatim

e0
“the nitrogen index can well reflected the nitrogen use efficiency whatever nitrogen application rate”
✓ located verbatim in the source · abstract, characters 1506–1606

e1
“summer maize accurately”
✓ located verbatim in the source · abstract, characters 1367–1390

Title

Genotypic variation in nitrogen use efficiency in summer maize

Bingnian Zhai Plant Nutrition and Fertilizing Science 2006

Other claims from this paper (10)

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

The study obtained nitrogen use efficiency data for aerobic rice.

Taxon: riceOryza sativat0
Outcome: nitrogen use efficiencye0
Comparator: total nitrogene0

Verbatim

t0
“aerobic rice”
✓ located verbatim in the source · title, characters 38–50

e0
“In this work, the data several data of nitrogen derived from fertilizer (Ndff), total nitrogen, nitrogen uptake and nitrogen use efficiency was obtained.”
✓ located verbatim in the source · abstract, characters 721–874

Title

Nitrogen use efficiency evaluation of aerobic rice under field capacity water potential using 15N isotopic tracer technique

Ahmad Nazrul Abd Wahid; Sahibin Abd Rahim; Khairuddin Abdul Rahim; et al. AIP conference proceedings 2015. doi:10.1063/1.4931188

Other claims from this paper (1)

Method / resource The study obtained data on fertilizer-derived nitrogen, total nitrogen and nitrogen uptake.

Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

LNAE was proposed as an indicator of nitrogen use efficiency in maize inbred lines.

Taxon: maizeZea mayse0
Outcome: indicator in the evaluation of nitrogen use efficiencye0

Not reportedComparatorValue

Verbatim

e0
“LNAE could be used as an indicator in the evaluation of nitrogen use efficiency of maize inbred lines”
✓ located verbatim in the source · abstract, characters 1199–1300

Title

Evaluation on nitrogen use efficiency in main maize inbred lines of Guangxi

WU Yong-sheng Nanfang nongye xuebao 2012

Other claims from this paper (5)

Method / resourceobservedoriginal resultpositivebasis n/a

Claim · model-written summary

Sugarcane varieties were classified into three nitrogen use efficiency categories affecting nitrogen recommendations.

Taxon: sugarcanee0
Material: sugarcane varietiese0
Outcome: categories of N use efficiencye0
Value: three categoriese0

Verbatim

e0
“Classification of sugarcane varieties into one of three categories of N use efficiency and the impact on N recommendations”
✓ located verbatim in the source · abstract, characters 1110–1232

Title

Recent advances to improve nitrogen use efficiency of sugarcane in the South African sugar industry.

J. H. Meyer; Arnold W. Schumann; R. A. Wood; et al. 2007

Other claims from this paper (12)

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Simulated water use efficiency increased with nitrogen fertilizer application.

Taxon: cornZea mays subsp. mayse1
Outcome: water use efficiencye1
Direction: increasede0
Comparator: nitrogen fertilizer applicatione0

Verbatim

e0
“it´s value increased with increasing drought stress and nitrogen fertilizer application”
✓ located verbatim in the source · abstract, characters 1175–1262

e1
“water use efficiency of corn hybrids”
✓ located verbatim in the source · abstract, characters 1104–1140

Title

Evaluation of AquaCrop Model in Simulating Yield and Water Use Efficiency of Three Corn Hybrids under Hot-Dry Climatic Conditions

Yaser Esmaeilian; Mahmoud Ramroudi DOAJ (DOAJ: Directory of Open Access Journals) 2018

Other claims from this paper (14)

Method / resource AquaCrop simulated corn hybrid grain yield with high precision.
Method / resource Simulation precision decreased as drought stress increased.
Method / resource ZP 677 had the lowest grain yield nRMSE of 7.5%.
Method / resource ZP 677 had the highest grain yield R2 of 0.93.
Method / resource Biological yield predictions deviated more than grain yield predictions.
Method / resource The model predicted biological yield variation with drought stress or nitrogen fertilizer well.
Method / resource Biological yield nRMSE ranged from 6.8 to 10.9.
Method / resource Biological yield R2 ranged from 0.82 to 0.92.
Method / resource AquaCrop simulated corn hybrid water use efficiency with reasonable accuracy.
Method / resource Simulated water use efficiency increased with increasing drought stress.
Method / resource AquaCrop water use efficiency estimates were usually below measured values.
Method / resource ZP 677 gave best water use efficiency validation nRMSE of 6.4%.
Method / resource ZP 677 gave best water use efficiency validation R2 of 0.93.
Recommendation Authors considered AquaCrop reliable for simulating corn yield in similar climates.

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

The model reasonably simulated increased water use efficiency as nitrogen application increased.

Taxon: maizeZea mayse1
Outcome: water use efficiencye0
Direction: increasese0
Comparator: nitrogen applicatione0

Verbatim

e0
“Model simulated the increases of water use efficiency due to decrease of water supply and increase of nitrogen application, reasonably.”
✓ located verbatim in the source · abstract, characters 1117–1252

e1
“three mentioned maize varieties”
✓ located verbatim in the source · abstract, characters 832–863

Title

Simulation of Growth, Yield, Grain Nitrogen and Water Use Efficiency of Maize Hybrids by CERES-Maize Model

Y. Esmaeilian; M. Ramroudi; M. Galavi DOAJ (DOAJ: Directory of Open Access Journals) 2019

Other claims from this paper (8)

Method / resource CERES-Maize simulated maximum leaf area index with high precision but usually underestimated observations.
Method / resource The model predicted maize kernel yield reasonably.
Method / resource The model predicted maize biological yield reasonably.
Method / resource The model simulated kernel nitrogen yield variation very well but generally underestimated field measurements.
Method / resource The model reasonably simulated increased water use efficiency as water supply decreased.
Method / resource Model accuracy for water use efficiency decreased slightly with greater drought stress.
Method / resource Deviation between modeled and measured water use efficiency increased with greater drought stress.
Recommendation The authors suggest CERES-Maize for maize production decisions in climates similar to the experiment site.

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 grain yield efficiency index classified genotypes into three nitrogen use efficiency groups.

Taxon: Dry Beant0
Outcome: classified into efficient, moderately efficient, or inefficient group in N-use efficiencye0
Comparator: grain yield efficiency index (GYEI)e0

Verbatim

t0
“Dry Bean”
✓ located verbatim in the source · title, characters 103–111

e0
“Based on grain yield efficiency index (GYEI), genotypes were classified into efficient, moderately efficient, or inefficient group in N-use efficiency.”
✓ located verbatim in the source · abstract, characters 822–973

Title

Influence of Nitrogen on Growth, Yield, and Yield Components and Nitrogen Uptake and Use Efficiency in Dry Bean Genotypes

N. K. Fageria; L. C. Melo; M. C. S. Carvalho Communications in Soil Science and Plant Analysis 2015. doi:10.1080/00103624.2015.1081696

Other claims from this paper (11)

Intervention effect Nitrogen addition significantly increased straw yield.
Intervention effect Nitrogen addition significantly increased grain yield.
Intervention effect Nitrogen addition significantly increased yield components.
Intervention effect Nitrogen addition significantly increased maximum root length.
Intervention effect Nitrogen addition significantly increased root dry weight.
Association Responses of these traits to nitrogen varied among genotypes, with significant nitrogen by genotype interactions for most traits.
Observation Genotypes differed significantly in nitrogen uptake.
Observation Genotypes differed significantly in nitrogen use efficiency.
Association Most growth and yield components were significantly positively associated with grain yield.
Observation Nitrogen concentration was greater in grain than straw.
Mechanism Greater grain nitrogen concentration indicated greater nitrogen requirement of dry bean genotypes.

“nitrogen use efficiency”

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