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http://dx.doi.org/10.5333/KGFS.2021.41.1.47

Assessment of Contribution of Climate and Soil Factors on Alfalfa Yield by Yield Prediction Model  

Kim, Ji Yung (College of Animal Life Sciences, Kangwon National University)
Kim, Moon Ju (Institute of Animal Resources, Kangwon National University)
Jo, Hyun Wook (College of Animal Life Sciences, Kangwon National University)
Lee, Bae Hun (National Institute of Animal Science, RDA)
Jo, Mu Hwan (College of Animal Life Sciences, Kangwon National University)
Kim, Byong Wan (College of Animal Life Sciences, Kangwon National University)
Sung, Kyung Il (College of Animal Life Sciences, Kangwon National University)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.41, no.1, 2021 , pp. 47-55 More about this Journal
Abstract
The objective of this study was to access the effect of climate and soil factors on alfalfa dry matter yield (DMY) by the contribution through constructing the yield prediction model in a general linear model considering climate and soil physical variables. The processes of constructing the yield prediction model for alfalfa was performed in sequence of data collection of alfalfa yield, meteorological and soil, preparation, statistical analysis, and model construction. The alfalfa yield prediction model used a multiple regression analysis to select the climate variables which are quantitative data and a general linear model considering the selected climate variables and soil physical variables which are qualitative data. As a result, the growth degree days(GDD) and growing days(GD), and the clay content(CC) were selected as the climate and soil physical variables that affect alfalfa DMY, respectively. The contributions of climate and soil factors affecting alfalfa DMY were 32% (GDD, 21%, GD 11%) and 63%, respectively. Therefore, this study indicates that the soil factor more contributes to alfalfa DMY than climate factor. However, for examming the correct contribution, the factors such as other climate and soil factors, and the cultivation technology factors which were not treated in this study should be considered as a factor in the model for future study.
Keywords
Alfalfa; Climate; Soil Physical property; Yield prediction model; Assessment;
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