Abstract
Models describing pasture production are often constructed using a systems approach. However, as most of them contain too many variables to obtain the initial values for the equations for simulation, they cannot be useful for farmers and farmers' cooperatives. To overcome this shortcoming, models using the Logistic equation were developed in this study. Since pasture production depends heavily upon annual and seasonal changes in the meteorological conditions such as daily air-temperature, long-term prediction of seasonal changes in pasture production is difficult. If several typical changes in the patterns of meteorological conditions could be determined, it may become possible to predict roughly the course of pasture production with time for each pattern. In this study, the intrinsic plant growth rate changes in the Logistic equations for six patterns of daily air-temperature conditions wre derived, and aboveground pasture production at the Nishinasuno Area was calculated, as an example, for each of the six patterns.
