Claim · model-written summary
Second-derivative NIR models calibrated calorific value well.
PopulusNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The best calibration models were built from the NIR second spectral derivative with good calibration statistics for both calorific value ( r = 0 97, RMSEC = 0 05 kJ/g) and specific gravity ( r = 0 98; RMSEC = 0 005).”
t0“Populus spp.”
Title
Analysis of Energy Traits of Populus spp. Clones by Near-Infrared Spectroscopy
Melchor C. Maranan; Marie-Pierre G. Laborie Journal of Biobased Materials and Bioenergy 2007. doi:10.1166/jbmb.2007.1989
Other claims from this paper (8)
- Method / resource Second-derivative NIR models calibrated specific gravity well.
- Method / resource First-derivative NIR calibration was good for specific gravity.
- Method / resource First-derivative NIR calibration was moderate for calorific value.
- Method / resource First-derivative NIR models performed best in validation for specific gravity.
- Method / resource First-derivative NIR models performed best in validation for calorific value.
- Method / resource NIRS prediction errors were less than twice laboratory measurement errors.
- Association Parentage was a factor for choosing wood specific gravity and biomass yield.
- Observation Calorific value was uniform in the evaluated hybrid poplar population.