The objective of this study was to construct a forage rye (FR) dry matter yield (DMY) estimation model based on climate data by locations in South Korea. The data set (n = 549) during 29 years were used. Six optimal climatic variables were selected through stepwise multiple regression analysis with DMY as the response variable. Subsequently, via general linear model, the final model including the six climatic variables and cultivated locations as dummy variables was constructed as follows: DMY = 104.166SGD + 1.454AAT + 147.863MTJ + 59.183PAT150 4.693SRF + 45.106SRD 5230.001 + Location, where SGD was spring growing days, AAT was autumnal accumulated temperature, MTJ was mean temperature in January, PAT150 was period to accumulated temperature 150, SRF was spring rainfall, and SRD was spring rainfall days. The model constructed in this research could explain 24.4 % of the variations in DMY of FR. The homoscedasticity and the assumption that the mean of the residuals were equal to zero was satisfied. The goodness-of-fit of the model was proper based on most scatters of the predicted DMY values fell within the 95% confidence interval.

Ⅰ. INTRODUCTION
 Ⅱ. MATERIALS AND METHODS
  1. Data collection and preparation
  2. Analysis Method
 Ⅲ. RESULTS AND DISCUSSION
 Ⅳ. CONCLUSION
 Ⅴ. ACKNOWLEDGEMENT
 Ⅵ. REFERRENCES

• Jing Lun Peng(Department of Feed Science and Technology, College of Animal Life Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea)
• Moon Ju Kim(Department of Feed Science and Technology, College of Animal Life Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea)
• Byong Wan Kim(Department of Feed Science and Technology, College of Animal Life Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea)
• Kyung Il Sung(Department of Feed Science and Technology, College of Animal Life Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea) Corresponding author