Method / resourcemodel-written summary

NIRS equations explained a high proportion of variability in the fermentation rate, the asymptotic GP and the lag phase of ear samples in calibration.

A claim from Prediction of gas production kinetics of maizestover and ear by near infrared reflectancespectroscopy · 2008

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

NIRS equations explained a high proportion of variability in the fermentation rate, the asymptotic GP and the lag phase of ear samples in calibration.

Taxon
maizeZea mayse0
Organ / stage
ear samplese1
Outcome
variability related to the fermentation rate (c), the asymptotic GP (A), and the lag phase (L)e1
Value
R: 0.81-0.87e1
Qualifier
in the calibration sub sete1

Not reportedMaterialGeneCompoundInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“gas production (GP) kinetics for maize ear and stover”

✓ located verbatim in the source · abstract, characters 70–123
e1

“NIRS pre dic tion equations could explain a high proportion of variability related to the fermen ta tion rate (c), the asymptotic GP (A), and the lag phase (L) of ear samples in the calibration sub set (R: 0.81-0.87), while for stover predictive ability was inferior”

✓ located verbatim in the source · abstract, characters 325–591

Title

Prediction of gas production kinetics of maizestover and ear by near infrared reflectancespectroscopy

S. Kruse; A. Herrmann; R. Loges; et al. Journal of Animal and Feed Sciences 2008. doi:10.22358/jafs/66636/2008

Other claims from this paper (4)

Record rev-00bbf8862bc6b92ad30a2595865c559724d5b45b652ae60947b6621e1eb260e6 · schema claims-v0.9 · position 1 in the model’s answer