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A Causality Analysis of Climates Affecting Production of Whole Crop Barley (Hordeum vulgare L.) Under the Climate Network via Structural Equation Model

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  • URLhttps://db.koreascholar.com/Article/Detail/411916
구독 기관 인증 시 무료 이용이 가능합니다. 4,200원
동물자원연구 (Annals of Animal Resources Sciences)
강원대학교 동물자원공동연구소 (Institute of Animal Resources Kangwon National University)
초록

This study aimed to analyze causality of climatic factors that affecting the yield of whole crop barley (WCB) by constructing a network within the natural ecosystem via the structural equation model. The WCB dataset (n=316) consisted of data on the forage information and climatic information. The forage information was collected from numerous experimental reports from New Cultivars of Winter Crops (1993-2012) and included details of fresh and dry matter yield, and the year and location of cultivation. The climatic information included details of the daily mean temperature, precipitation, and sunshine duration from the weather information system of the Korea Meteorological Administration. The variables were growing days, accumulated temperature, precipitation, and sunshine duration in the season for the period of seeding to harvesting. The data was collected over 3 consecutive seasons—autumn, winter, and the following spring. We created a causality network depicting the effect of climatic factors on production by structural equation modeling. The results highlight: (i) the differences in the longitudinal effects between autumn and next spring, (ii) the factors that directly affect WCB production, and (iii) the indirect effects by certain factors, via two or more paths. For instance, the indirect effect of precipitation on WCB production in the following spring season via its effect on temperature was remarkable. Based on absolute values, the importance of WCB production in decreasing order was: the following spring temperature (0.45), autumn temperature (0.35), wintering (-0.16), and following spring precipitation (0.04). Therefore, we conclude that other climatic factors indirectly affect production through the final pathway, temperature and growing days in the next spring, in the climate-production network for WCB including temperature, growing days, precipitation and sunshine duration.

목차
Ⅰ. 서론
Ⅱ. 재료 및 방법
    1. 자료 수집 및 변수생성
    2. 통계적 분석방법
Ⅲ. 결과 및 고찰
    1. 청보리의 생산량 및 기후의 특성
Ⅳ. 결론
Ⅴ. 요약
사사
Ⅵ. 참고문헌
저자
  • 김문주(강원대학교 동물생명과학연구소 연구원) | Moonju Kim (Researcher, Institute of Animal Life Science, Kangwon National University, Chuncheon 24341, Korea)
  • 조무환(강원대학교 동물생명과학대학 강사) | Mu Hwan Jo (Instructor, Department of Animal Life Science, Kangwon National University, Chuncheon 24341, Korea)
  • 성경일(강원대학교 동물생명과학대학 교수) | Kyung Il Sung (Professor, Department of Animal Life Science, Kangwon National University, Chuncheon 24341, Korea) Corresponding author