논문 상세보기
pp.47-55
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.
Ⅰ. 서 론
Ⅱ. 재료 및 방법
1. 자료 수집 및 가공
2. 통계분석
Ⅲ. 결 과
1. 기후요인 및 토양요인을 고려한 알팔파의 작물정보 및 재배환경
2. 알팔파의 DMY에 대한 기후요인 및 토양요인의 연관성
3. 알팔파 건물수량에 영향을 주는 기상변수의 선택
4. 알팔파 건물수량에 영향을 주는 기후요인 및 토양요인의 기여도 평가
Ⅳ. 고 찰
Ⅴ. 요 약
Ⅶ. REFERENCES
