Abstract

AbstractAn existing varying coefficient calibration method for estimating herbage mass from rising plate meter reading was validated using datasets for different years and pastures, and the variation among these in the coefficients of the model was structurally assessed using a linear mixed effects model to develop a versatile calibration equation. The calibration's advantage was confirmed by the lower Akaike's information criterion values in the two current pooled models than those in the model that assumes fixed coefficients throughout the year. While sites affect the degree of gradual change after the reproductive stage in the slope coefficient, years affect the degree of steep change before the reproductive stage in the intercept coefficient. Further, the shift in the levels of both coefficients was detected by site and year.

Full Text
Paper version not known

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 call

Disclaimer: 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.