Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Beta vulgaris was the most sensitive indicator species.

Taxon: B. vulgarisBeta vulgarise0
Outcome: the most sensitivee0
Direction: most sensitivee0
Value: the most sensitivee0

Verbatim

e0
“being B. vulgaris (beet) the most sensitive”
✓ located verbatim in the source · abstract, characters 1384–1427

Title

Selection of Indicator Species of the Tembotrione Sorption in Soils with Different Attributes

A.T. FARIA; E.M.G. SILVA; G.A.M. PEREIRA; et al. Planta Daninha 2018. doi:10.1590/s0100-83582018360100128

Other claims from this paper (3)

Method / resource Beta vulgaris detected low soil tembotrione concentrations efficiently.
Method / resource Brassica oleracea var. capitata detected low soil tembotrione concentrations efficiently.
Recommendation The authors recommend beet as a tembotrione indicator in soil solution.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

DBI was the most sensitive detection assay.

Taxon: yamt0
Outcome: most sensitivee0
Comparator: DBIe0

Verbatim

e0
“DBI was most sensitive.”
✓ located verbatim in the source · abstract, characters 327–350

t0
“yam mosaic virus in yam tissues”
✓ located verbatim in the source · title, characters 85–116

Title

Development of serological procedures for rapid, sensitive and reliable detection of yam mosaic virus in yam tissues

AP Njukeng; GI Atiri; Jd'A Hughes; et al. Tropical Science 2004. doi:10.1002/ts.155

Other claims from this paper (3)

Method / resource DTBI detected YMV in yam tubers and sprouts.
Observation Three assays showed YMV concentration increasing from sprout base to tip.
Method / resource YMV-M24 decorated virus particles in ISEM.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Stalk tissue blot was the most sensitive RSD diagnostic assay.

Taxon: canee1
Outcome: most sensitive methode0
Direction: most sensitivee0
Comparator: ELISAe0

Verbatim

e0
“Tissue blot of stalk tissue was the most sensitive method followed closely by ELISA.”
✓ located verbatim in the source · abstract, characters 1337–1421

e1
“mature crops of cane”
✓ located verbatim in the source · abstract, characters 642–662

Title

COMPARISON OF RSD ASSAYS FOR DIAGNOSIS AND SCREENING VARIETIES FOR RESISTANCE

BJ Croft; J Green; K. S. Braithwaite 2012

Other claims from this paper (3)

Method / resource ELISA sensitivity closely followed stalk tissue blot.
Method / resource Leaf sheath tissue blot and phase-contrast microscopy had similar sensitivity, below stalk tissue blot and ELISA.
Association ELISA absorbance was highly correlated with the fraction of infected vascular bundles in leaf sheaths.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Conversion efficiency was among the most sensitive model factors.

Taxon: maizeZea mayst0
Outcome: most sensitive factorse0
Comparator: Conversion efficiencye0

Verbatim

t0
“maize”
✓ located verbatim in the source · title, characters 43–48

e0
“Conversion efficiency and characteristic surface are proved to be the most sensitive factors”
✓ located verbatim in the source · abstract, characters 572–664

Title

Sensitivity analysis of GreenLab model for maize

Paul-Henry Courny 2009

Other claims from this paper (4)

Method / resource With biomass production as output, the model was more than 94% linear in the SRC study.
Method / resource Characteristic surface was among the most sensitive model factors.
Method / resource After excluding the two most sensitive factors in Sobol’s measure, model linearity was weaker.
Method / resource The analysis produced detailed sensitivity indexes for other uncertain parameters across maize growth stages.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Characteristic surface was among the most sensitive model factors.

Taxon: maizeZea mayst0
Outcome: most sensitive factorse0
Comparator: characteristic surfacee0

Verbatim

t0
“maize”
✓ located verbatim in the source · title, characters 43–48

e0
“Conversion efficiency and characteristic surface are proved to be the most sensitive factors”
✓ located verbatim in the source · abstract, characters 572–664

Title

Sensitivity analysis of GreenLab model for maize

Paul-Henry Courny 2009

Other claims from this paper (4)

Method / resource With biomass production as output, the model was more than 94% linear in the SRC study.
Method / resource Conversion efficiency was among the most sensitive model factors.
Method / resource After excluding the two most sensitive factors in Sobol’s measure, model linearity was weaker.
Method / resource The analysis produced detailed sensitivity indexes for other uncertain parameters across maize growth stages.

Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

The Saponaria infectivity test appeared most sensitive.

Taxon: Saponaria vaccaria 'Pink Beauty'Gypsophila vaccariat0
Outcome: most sensitivee0

Not reportedComparatorValue

Verbatim

e0
“this method appeared to be the most sensitive.”
✓ located verbatim in the source · abstract, characters 799–845

t0
“Saponaria vaccaria 'Pink Beauty'”
✓ located verbatim in the source · title, characters 0–32

Title

Saponaria vaccaria 'Pink Beauty', for carnation mottle virus a new test plant

F. A. Hakkaart; M. van Olphen 1971

Other claims from this paper (6)

Method / resource Saponaria vaccaria 'Pink Beauty' was found to be a test plant for carnation mottle virus.
Method / resource Serological double-diffusion was quickest but least sensitive.
Intervention effect Adding 1 M urea did not increase serological test sensitivity.
Method / resource Detached C. amaranticolor leaves yielded countable local lesions after one week.
Method / resource Detached-leaf tests were about as sensitive as intact-plant tests.
Method / resource Saponaria vaccaria 'Pink Beauty' showed systemic symptoms 10 to 14 days after inoculation.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

NDVI was most sensitive to chlorophyll a at trumpet stage.

Taxon: spring maizeZea mayst0
Organ / stage: trumpet stagee0
Outcome: NDVIe0
Direction: most sensitivee0
Comparator: Chlae0

Verbatim

e0
“NDVI is most sensitive to Chla in trumpet stage”
✓ located verbatim in the source · abstract, characters 333–380

t0
“Spring Maize”
✓ located verbatim in the source · title, characters 50–62

Title

Diagnosis on Nitrogen Status Using GreenSeeker in Spring Maize

Lei Wang Yumi kexue 2008

Other claims from this paper (5)

Association Canopy NDVI tracked chlorophyll a and nitrogen over the growth stage.
Association Across leaf orders, NDVI followed chlorophyll a and nitrogen trends.
Association NDVI correlated significantly and linearly with chlorophyll a.
Association NDVI correlated significantly and linearly with nitrogen.
Method / resource GreenSeeker was judged effective for chlorophyll a and nitrogen diagnosis.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Amide nitrogen was the most sensitive sulphur index.

Taxon: wheatTriticum aestivumt0
Outcome: most sensitive indexe0
Direction: most sensitivee0
Comparator: sulphur-adequate plantse0

Verbatim

e0
“Amide nitrogen provided the greatest relative change in values between sulphur-deficient and sulphur-adequate plants, and on that basis was the most sensitive index”
✓ located verbatim in the source · abstract, characters 483–647

t0
“wheat”
✓ located verbatim in the source · title, characters 39–44

Title

The diagnosis of sulphur deficiency in wheat

JR Freney; K Spencer; MB Jones Australian Journal of Agricultural Research 1978. doi:10.1071/ar9780727

Other claims from this paper (7)

Association All four measured indices related strongly to current and subsequent sulphur status.
Method / resource Amide nitrogen had the greatest relative change between deficient and adequate plants.
Observation Each tested index had drawbacks limiting general acceptance.
Method / resource The sulphate share of total sulphur was the most promising status index.
Intervention effect Nitrogen supply did not affect the sulphate share criterion.
Association Plant age did not affect the sulphate share criterion.
Recommendation Wheat with over one-tenth of its sulphur as sulphate was considered adequately supplied.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

POM, POXC, and PMN were the most sensitive physicochemical indicators.

Outcome: most sensitive physicochemical indicatorse0
Direction: most sensitivee0
Comparator: POM, POXC, and PMNe0

Not reportedTaxon

Verbatim

e0
“POM, POXC, and PMN were the most sensitive physicochemical indicators, where sensitivity is expressed as responsiveness relative to variability”
✓ located verbatim in the source · abstract, characters 1480–1623

Title

Which soil health indicators best track diversification benefits in tropical agroecosystems?

Anna M. Visscher; Simon Fonteyne; Mirjam Pulleman; et al. Applied Soil Ecology 2026. doi:10.1016/j.apsoil.2026.107152

Other claims from this paper (9)

Intervention effect Diversified systems improved maize yield by 271% over the control.
Intervention effect Diversified systems improved residue cover by 210% over the control.
Intervention effect Diversified systems improved macrofauna abundance by 253% over the control.
Intervention effect Diversified systems improved fungal richness by 52% over the control.
Intervention effect Diversified systems enhanced aggregate stability by 18% over the control.
Intervention effect Diversified systems had SIR rates 34% higher than the control.
Method / resource Macrofauna metrics and enzyme activity showed high responsiveness but greater variability.
Recommendation The authors recommend soil cover, POM, POXC, PMN, and macrofauna as a practical low-cost core indicator set for smallholders.
Recommendation The authors recommend SIR for additional sensitivity when resources permit.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Conversion efficiency and characteristic surface were the most sensitive model factors.

Outcome: most sensitive factorse0
Comparator: Conversion efficiency and characteristic surfacee0

Verbatim

e0
“Conversion efficiency and characteristic surface are proved to be the most sensitive factors”
✓ located verbatim in the source · abstract, characters 572–664

Title

Sensitivity Analysis of GreenLab Model for Maize

Qiongli Wu; Paul-Henry Cournède 2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications 2009. doi:10.1109/pma.2009.37

Other claims from this paper (3)

Method / resource GreenLab biomass output was more than 94% linear in the SRC analysis.
Method / resource Excluding the two most sensitive factors weakened system linearity in Sobol analysis.
Method / resource Sensitivity indices identified different drivers of maize growth at different stages.

“most sensitive”

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