메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Kang Seok Jung (Chungnam National University) Hyun Min Cho (Chungnam National University) Hyung Suk Lee (Woosong College) Jung Min Heo (Chungnam National University) Soo Kee Lee (Chungnam National University)
저널정보
충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.45 No.2
발행연도
2018.6
수록면
169 - 176 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This study evaluated the effects of Glycine soja (GS) and hairy vetch supplementation on the quality of corn silage. The feeding regimen consisted of a corn silage (Control) and a control supplemented either with 20% GS or 20% hairy vetch with four replicates. All experimental diets were stored for 40 days at room temperature (20 - 25℃). The control had a higher (p < 0.05) dry matter level but had a lower level (p < 0.05) of crude protein, crude fat, acid detergent fiber and neutral detergent fiber than any other treatments. Hairy vetch had a higher level (p < 0.05) of acetic acid and butyric acid than any other groups but had a lower level (p < 0.05) of lactic acid than that of the control. A lower silage pH was observed (p < 0.05) in the control compared to the other treatments. The control had lower (p < 0.05) sucrose and fructose concentrations compared to the other treatments. Corn silage supplemented with hairy vetch showed a higher level (p < 0.05) of crude protein and buffer solution protein and a higher ratio of soluble protein to insoluble protein than any of the other groups. Thus, the results of the present study suggest that GS and hairy vetch supplementation of corn silage would be beneficial for maintaining quality and elevating protein levels when compared to the control.

목차

Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References

참고문헌 (30)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2018-520-003133195