혼파초지에서 지역별 건물수량과 하고일수 간 관계

서지정보

ㆍ발행기관 : 한국초지조사료학회 ㆍ수록지정보 : 한국초지조사료학회지 / 38권 / 1호
ㆍ저자명 : 오승민, 김문주, 팽경룬, 이배훈, 김지융, 베페카두, 김시철, 김경대, 김병완, 조무환, 성경일

목차

Ⅰ. 서 론
II. 재료 및 방법
1. 분석자료
2. 변수설명
3. 통계처리방법
Ⅲ. 결과 및 고찰
1. 평창 및 제주 지역을 제외한 건물수량과 하고일수 간상관관계 검토
2. 지역별 건물수량과 하고일수 간 상관관계 검토
Ⅳ. 요 약
Ⅴ. 사 사
Ⅵ. REFERENCES

영어 초록

Yield prediction model for mixed pasture was developed with a shortage that the relationship between dry matter yield (DMY) and days of summer depression (DSD) was not properly reflected in the model in the previous research. Therefore, this study was designed to eliminate the data of the regions with distinctly different climatic conditions and then investigate their relationships DMY and DSD using the data in each region separately of regions with distinct climatic characteristics and classify the data based on regions for further analysis based on the previous mixed pasture prediction model. The data set used in the research kept 582 data points from 11 regions and 41 mixed pasture types. The relationship between DMY and DSD in each region were analyzed through scatter plot, correlation analysis and multiple regression analysis in each region separately. In the statistical analysis, DMY was taken as the response variable and 5 climatic variables including DSD were taken as explanatory variables. The results of scatter plot showed that negative correlations between DMY and DSD were observed in 7 out of 9 regions. Therefore, it was confirmed that analyzing the relationship between DMY and DSD based on each region is necessary and 5 regions were selected (Hwaseong, Suwon, Daejeon, Siheung and Gwangju) since the data size in these regions is large enough to perform the further statistical analysis based on large sample approximation theory. Correlation analysis showed that negative correlations were found between DMY and DSD in 3 (Hwaseong, Suwon and Siheung) out of the 5 regions, meanwhile the negative relationship in Hwaseong was confirmed through multiple regression analysis. Therefore, it was concluded that the interpretability of the yield prediction model for mixed pasture could be improved based on constructing the models using the data from each region separately instead of using the pooled data from different regions.

참고 자료

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