This paper reports results of regression analyses of the use of a capacitance meter to estimate herbage weight. Estimation of dry weights was found to be as accurate as estimation of green weights. Analysis of covariance for three factors, site, season of year, and year of data collection, showed only season significantly (P<.01) affected the relationship between herbage weight and meter reading. Simple linear regressions were compared to natural logarithmic regressions. Logarithmic regressions were found to be better predictors of herbage weight as determined by Furnival's Index. Winter and spring proved to be the best time to use the capacitance meter, probably due to decreased effect of moisture fluctuations on the meter's performance. This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020
Scholarly peer-reviewed articles published by the Society for Range Management. Access articles on a rolling-window basis from vol. 1, 1948 up to 5 years from the current year. Formerly Journal of Range Management (JRM). More recent content is available by subscription from SRM.