Assessment of growing condition variables on alfalfa productivity

This study was conducted to assess the impact of growing condition variables on alfalfa (<italic>Medicago sativa</italic> L.) productivity. A total 197 yield results were acquired from field trials by South Korean National Agricultural Cooperative Federation or Rural Development Administration between 1983 and 2008. The corresponding climate soil data collected database Meteorological Administration. Twenty-three developed as explaining for forage biomass production. Among them, twelve chosen based significance partial-correlation coefficients potential agricultural values. selected partial correlation ranged -0.021 0.696. influence yearly production summarized into three dominant factors through factor analysis. Along with accumulated temperature variables, loading scores daily mean higher than 25°C over 0.88 in 1. sunshine duration at 0 ~ 0.939 2. Precipitation days 0.82, which greatest 3. Stepwise regression applied resulted 1, 2, 3 0.633, 0.485, 0.115, respectively, R-square model 0.602. environmental conditions limiting growth, such 25 °C affected annual most substantially among variables. Therefore, future cultivar selection should consider capability be tolerant extreme summer weather along potential.