Search claims · PlantClaims

Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

The VSTE equation was not distinctly worse than VDLUFA calibration.

Taxon: oilseed rapeBrassica napust0
Outcome: prediction accuracye1
Direction: not distinctly worsee0
Comparator: VDLUFA calibration equatione1

Verbatim

e0
“the former was not distinctly worse”
✓ located verbatim in the source · abstract, characters 716–751

e1
“VSTE equation was compared to the prediction accuracy according to the VDLUFA calibration equation”
✓ located verbatim in the source · abstract, characters 537–635

t0
“oilseed rape”
✓ located verbatim in the source · title, characters 56–68

Title

Fast prediction of quality parameters in whole seeds of oilseed rape (Brassica napus L.)

V. Míka; P. Tillmann; R. Koprna; et al. Plant Soil and Environment 2003. doi:10.17221/4104-pse

Other claims from this paper (4)

Method / resource NIR calibration predicted XP with a coefficient of determinance of 0.83.
Method / resource NIR calibration predicted XL with a coefficient of determinance of 0.71.
Method / resource NIR calibration predicted GSL with a coefficient of determinance of 0.84.
Method / resource Nondestructive whole seed NIR analysis permits sowing selected seed in the harvest year and accelerates breeding.

Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

Forced wavelength equations had validation errors no different from the original equation.

Taxon: alfalfaMedicago sativat0
Outcome: Validation errore0
Direction: not differente0
Comparator: original calibration equatione0

Verbatim

e0
“Validation error of calibration equations with forced wavelengths was not different from that of the original calibration equation”
✓ located verbatim in the source · abstract, characters 1240–1370

t0
“Pasture mixtures of alfalfa ( Medicago sativa L.) and tall fescue ( Festuca arundinacea Schreb.)”
✓ located verbatim in the source · abstract, characters 456–552

Title

Ash in Forage, Esophageal, and Fecal Samples Analyzed Using Near‐Infrared Reflectance Spectroscopy

W. R. Windham; N. S. Hill; J. A. Stuedemann Crop Science 1991. doi:10.2135/cropsci1991.0011183x003100050053x

Other claims from this paper (8)

Method / resource The optimum NIRS equation gave a calibration error of 14.4 g kg −1.
Method / resource The optimum NIRS equation gave a validation error of 14.2 g kg −1.
Observation Selected equations had three wavelength pairs within 40 nm.
Recommendation The authors concluded wavelength pairs were necessary for spectral slope differences.
Method / resource Recalibration with pasture and esophageal samples improved SEC to 9.5 g kg −1.
Method / resource Recalibration with pasture and esophageal samples improved SEP to 9.8 g kg −1.
Method / resource Recalibration with fecal samples improved SEC to 10.6 g kg −1.
Method / resource Recalibration with fecal samples improved SEP to 12.7 g kg −1.

Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

The FT20 calibration for mango Brix had accuracy similar to the Foss NIRSystems 6500.

Taxon: mango fruitsMangifera indicae0
Outcome: accuracye1
Direction: similare1
Comparator: Foss NIRSystems 6500e1

Verbatim

e0
“was investigated using mango fruits”
✓ located verbatim in the source · abstract, characters 105–140

e1
“It was found that the calibration equation using spectral data obtained with the FT20 had similar accuracy to that using Foss NIRSystems 6500 spectra”
✓ located verbatim in the source · abstract, characters 320–469

Title

Performance of a Portable near Infrared Instrument for Brix Value Determination of Intact Mango Fruit

Innapa Saranwong; Jinda Sornsrivichai; Sumio Kawano Journal of Near Infrared Spectroscopy 2003. doi:10.1255/jnirs.364

Other claims from this paper (1)

Method / resource The calibration equations for Brix had a standard error of prediction of 0.40 °Brix for both instruments.

Observationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Variation in soil, climate, weather, growing period and maximum yield did not significantly change the equation constants.

Taxon: SUGAR BEETSt0
Outcome: constants 0.018 and 0.0084e0
Direction: not to change significantlye0

Verbatim

e0
“The variations in soil, climate, weather, length of growing period, and maximum yield level were found not to change significantly the constants 0.018 and 0.0084 used in the equation.”
✓ located verbatim in the source · abstract, characters 503–686

t0
“SUGAR BEETS”
✓ located verbatim in the source · title, characters 95–106

Title

CALIBRATION OF OLSEN SOIL PHOSPHORUS TEST VALUES WITH THE PHOSPHORUS FERTILIZER REQUIREMENT OF SUGAR BEETS UNDER TURKISH SOIL AND CULTURAL CONDITIONS

S. BARKER Soil Science 1977. doi:10.1097/00010694-197710000-00006

Other claims from this paper (2)

Method / resourceobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Plate metre calibration showed no significant difference between sward types

Taxon: perennial ryegrassLolium perennee1
Outcome: Plate metre calibratione7
Value: p > 0.05e7
Comparator: sward typese7

Verbatim

e1
“This study investigated the agronomic performance and root characteristics of perennial ryegrass and mixed perennial ryegrass–plantain swards under intensive rotational grazing by dairy cows in Northern Ireland over two full grazing seasons (2023–2024)”
✓ located verbatim in the source · abstract, characters 9–261

e7
“Plate metre calibration showed no significant difference ( p > 0.05) between sward types, validating the use of a common equation.”
✓ located verbatim in the source · abstract, characters 1325–1455

Title

Agronomic Performance of Perennial Ryegrass ( Lolium perenne L)—Ribwort Plantain ( Plantago lanceolata L) and Perennial Ryegrass Swards Under Intensive Dairy Cow Grazing

Lauren Elizabeth Chesney; Naomi Rutherford; Francesca Carnovale; et al. Grass and Forage Science 2026. doi:10.1111/gfs.70041

Other claims from this paper (17)

Observation Perennial ryegrass sward total seasonal yield was 11,683 kg DM/ha
Observation Ryegrass–plantain sward total seasonal yield was 11,766 kg DM/ha
Intervention effect Ryegrass–plantain swards showed greater herbage utilisation than PRG swards
Intervention effect Ryegrass–plantain swards had higher ash than perennial ryegrass
Intervention effect Ryegrass–plantain swards had higher acid detergent fibre than perennial ryegrass
Intervention effect Ryegrass–plantain swards had lower neutral detergent fibre than perennial ryegrass
Intervention effect Ryegrass–plantain swards had lower water-soluble carbohydrates than perennial ryegrass
Intervention effect Ryegrass–plantain swards had lower digestibility than perennial ryegrass
Intervention effect Ryegrass–plantain swards had lower gross energy than perennial ryegrass
Observation Botanical composition of ryegrass–plantain swards averaged about 29% plantain across years
Intervention effect Perennial ryegrass swards had greater fine root development than ryegrass–plantain swards to 30 cm depth
Intervention effect Perennial ryegrass swards had greater root biomass than ryegrass–plantain swards to 30 cm depth
Intervention effect Perennial ryegrass swards had greater root surface area than ryegrass–plantain swards to 30 cm depth
Intervention effect Ryegrass–plantain sward roots were fewer in number than perennial ryegrass roots
Intervention effect Ryegrass–plantain sward roots had slightly thicker diameters in deeper layers than perennial ryegrass roots
Intervention effect Ryegrass–plantain swards increased growth during periods of low rainfall
Recommendation Incorporating plantain into perennial ryegrass swards is recommended to enhance utilisation efficiency

Associationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

The correlation between real and regression-calibrated maximum snow cover depth was not significant for the verification period.

Taxon: Norway sprucePicea abiese0
Outcome: correlation coefficiente1
Qualifier: verification onee1
Comparator: real and calibrated (on the base of the regression equation) valuese1

Not reportedDirection

Verbatim

e0
“examine the correlation of Norway spruce tree-ring widths and the snow cover depth in the High Tauern mountains”
✓ located verbatim in the source · abstract, characters 27–138

e1
“the correlation coefficient between real and calibrated (on the base of the regression equation) values of maximum snow cover depth is statistically significant for calibration period and not significant for verification one”
✓ located verbatim in the source · abstract, characters 1576–1800

Title

Tree-Ring Widths and Snow Cover Depth in High Tauern

Malgorzata Falarz IOP Conference Series Earth and Environmental Science 2017. doi:10.1088/1755-1315/95/6/062005

Other claims from this paper (6)

“calibration equation”

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