Year-end Sale % OFF 
Abstract
The objective was to evaluate the adequacy of near-infrared spectroscopy for predicting the chemical-bromatological composition of sorghum BRS 658 and BRS Ponta Negra silage, in PVC mini-silos, ensiled at grain maturation stages E7 or milky, E8 or pasty and hard mealy. The model using the Savitzky-Golay 1st Derivative for DIVMS showed lower RMSEC, RMSECV and RMSEP (5.96, 7.42, 6.96) respectively. For DIVMO, the Multiplicative Signal Correction (MSC) + Savitzky-Golay 1st Derivative model with two windows showed better performance, with higher R2 in calibration, validation and prediction (0.82, 0.72, 0.56) respectively. In the independent validation of the models, no significant difference was observed between the predicted and reference values for the BP, IVMSD and IVMOD variables. The NIRS methodology is capable of accurately predicting the protein content, in vitro digestibility of dry matter and in vitro digestibility of organic matter in sorghum silage.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
