FIELD TESTING A RAPID METHOD FOR ESTIMATING ALFALFA QUALITY

Predictive equations for alfalfa quality (PEAQ) based on height of the tallest stem and maturity stage of the most mature stem in a sample w ere developed to estimate neutral-detergent fiber (NDF) and acid-deter gent fiber (ADF) concentrations in alfalfa (Medicago sativa L.), Field testing of these equations is limited outside the state of Wisconsin where they were developed. Our objectives were to test these equations for estimating alfalfa NDF and ADF across a wide geographic area and to evaluate the performance of PEAQ on a whole-field basis by using wi thin-field subsampling, Alfalfa samples varying in height and maturity were collected throughout the growing season from fields in New York (n = 28), Pennsylvania (n = 23), Ohio (n = 48), California (n = 45), a nd Wisconsin (n = 48) in 1994 to 1996. Additional samples were collect ed in Ohio and Wisconsin from producer-managed fields in which 5 to 10 subsamples per field were taken on each sampling date (n = 296 subsam ples from 51 fields), Observed NDF and ADF values were regressed on es timated values. The accuracy of PEAQ in other states was at least equa l to that observed in Wisconsin, Across all states, regression equatio ns for NDF and ADF were slightly biased (b not equal 1.0 and/or y-inte rcept not equal 0 at P < 0.01); however, prediction errors were suffic iently low to allow use of PEAQ as a preharvest management tool, Root mean square error values ranged from 19.1 to 23.9 g kg(-1) for NDF and 15.0 to 19.0 g kg(-1) for ADF, Prediction errors were 16.2 g kg(-1) f or NDF and 13.2 g kg(-1) for ADF across Ohio and Wisconsin when regres sing observed means on estimated means of five subsamples per field-sa mpling date combination, We conclude that predictive equations for alf alfa quality based on a combination of stem height and maturity were r obust across a wide range of environments.