A simulation model for managing perennial grass pastures. Part II—a simulated systems analysis of grazing management

Abstract

A model for managing perennial grass pastures was used to simulate a grazing experiment on common bermudagrass pastures at Booneville, Arkansas. The experiment used sixteen years' weather data from this location. The management variables included number of fields, rotation period, and simulated grazing rate. The grazing season was from 1 June to 22 September each year, and simulated performance data were obtained for successive six-day periods throughout the grazing season. The attributes of performance data included: daily harvest rate, digestible dry matter and cell content nitrogen harvested, potential tissue production, reserve carbohydrates at the end of the year and the ratio of forage on offer to the simulated grazing rate. Analyses of these simulated performance data provided an inference base to support a recommendation concerning the management variables. The recommendation is as follows: a four-field system, a nine-day rotation period and 84 kg/ha/day simulated grazing rate. The results along with other simulated grazing scenarios will be used to plan field experiments at Booneville, Arkansas.