Possibility of Estimating Daily Mean Temperature for Improving the Accuracy of Temperature in Forage Yield Prediction Model |
Kang, Shin Gon
(National Institute of Animal Science, RDA)
Jo, Hyun Wook (College of Animal Life Sciences, Kangwon National University) Kim, Ji Yung (College of Animal Life Sciences, Kangwon National University) Kim, Kyeong Dae (Gangwondo Agricultural Research and Extension Services) Lee, Bae Hun (National Institute of Animal Science, RDA) Kim, Byong Wan (College of Animal Life Sciences, Kangwon National University) Sung, Kyung Il (College of Animal Life Sciences, Kangwon National University) |
1 | Choi, K.C. 2020. Damage assessment in forages and development of cultivation technology for their damage reduction according to extreme weather. Rural Development Administration, Jeonju, Republic of Korea. |
2 | Oh, S.M., Kim, M.J., Peng, J.L., Lee, B.H., Kim, J.Y., Kim, B.W., Jo, M.H. and Sung, K.I. 2017. A research on yield prediction of mixed pastures in Korea via model construction in stages. Journal of the Korean Society of Grassland and Forage Science. 37(1):80-91. DOI |
3 | Oh, S.M., Kim, M.J., Peng, J.L., Lee, B.H., Kim, J.Y., Chemere, B., Kim, S.C., Kim, K.D., Kim, B.W., Jo, M.H. and Sung, K.I. 2018. The relationships between dry matter yield and days of summer depression in different regions with mixed pasture. Journal of the Korean Society of Grassland and Forage Science. 38(1):53-60. DOI |
4 | Peng, J.L., Kim, M.J., Kim, B.W. and Sung, K.I. 2016a. A yield estimation model of forage rye based on climate data by locations in South Korea using general linear model. Journal of the Korean Society of Grassland and Forage Science. 36(3):205-214. DOI |
5 | Peng, J.L., Kim, M.J., Kim, B.W. and Sung, K.I. 2016b. Models for estimating yield of Italian Ryegrass in south areas of Korean Peninsula and Jeju Island. Journal of the Korean Society of Grassland and Forage Science. 36(3):223-236. DOI |
6 | Peng, J.L., Kim, M.J., Kim, Y.J., Jo, M.H., Kim, B.W., Sung, K.I. and Lv, S.J. 2017a. Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea. Grassland Science. 63(3):184-195. DOI |
7 | Peng, J.L., Kim, M.J., Jo, M.H., Min, D.H., Kim, K.D., Lee, B.H., Kim, B.W. and Sung, K.I. 2017b. Accuracy evaluation of the crop-weather yield predictive models of Italian Ryegrass and forage rye using cross-validation. Journal of Crop Science Biotechnology. 20(4):327-334. DOI |
8 | SPSS. 2017. IBM SPSS statistics ver. 24.0. IBM Corp., Somers, New York. U.S.A. |
9 | https://data.kma.go.kr/cmmn/main.do (2017.11.12.) |