Claim · model-written summary
Near-infrared reflectance predicted lignin of forages with a correlation coefficient of .96.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Verbatim
e0“samples of ground dry forages”
e1“the correlation coefficients were”
e2“.96 for L”
Title
Predicting Forage Quality by Infrared Replectance Spectroscopy
K. H. Norris; R. F. Barnes; J. E. Moore; et al. Journal of Animal Science 1976. doi:10.2527/jas1976.434889x
Other claims from this paper (12)
- Method / resource Near-infrared reflectance predicted crude protein of forages with a correlation coefficient of .99.
- Method / resource Near-infrared reflectance predicted NDF of forages with a correlation coefficient of .98.
- Method / resource Near-infrared reflectance predicted ADF of forages with a correlation coefficient of .96.
- Method / resource Near-infrared reflectance predicted in vitro dry matter disappearance of forages with a correlation coefficient of .95.
- Method / resource Near-infrared reflectance predicted in vivo dry matter digestibility of forages with a correlation coefficient of .88.
- Method / resource Near-infrared reflectance predicted dry matter intake of forages with a correlation coefficient of .80.
- Method / resource Near-infrared reflectance predicted digestible energy intake of forages with a correlation coefficient of .85.
- Method / resource Calibration equations from odd-numbered samples predicted even-numbered samples for CP within a standard error of ± .95%.
- Method / resource Calibration equations from odd-numbered samples predicted even-numbered samples for NDF within a standard error of ± 3.1%.
- Method / resource Calibration equations from odd-numbered samples predicted even-numbered samples for DMD within a standard error of ± 5.1%.
- Method / resource Calibration equations from odd-numbered samples predicted even-numbered samples for DMI within a standard error of ± 7.9 g.
- Recommendation The authors conclude that infrared reflectance has potential for rapid evaluation of forage quality.