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

논문 기본 정보

자료유형
학술저널
저자정보
Quach Van Cao Thi (Faculty of Applied Biological Sciences Vinh Long University of Technology Education Vietnam) Nguyen Ngoc Trai (School of Agriculture and Aquaculture Tra Vinh University Vietnam) Bui Dang Khoa (School of Agriculture and Aquaculture Tra Vinh University Vietnam) Nguyen Hoang Xuan Thao (School of Agriculture and Aquaculture Tra Vinh University Vietnam) Vuong Tuan Phong (Institute of Environmental Sciences and Technology Tra Vinh University Vietnam) Quach Van Cao Thi (Faculty of Applied Biological Sciences Vinh Long University of Technology Education Vietnam)
저널정보
한국육종학회 Plant Breeding and Biotechnology Plant Breeding and Biotechnology Vol.11 No.2
발행연도
2023.6
수록면
117 - 129 (13page)

이용수

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

초록· 키워드

오류제보하기
Genetic variability and correlation analysis are fundamental references for the innovative development of breedingprograms to improve varieties and desirable traits. In the present study, the correlation and path analysis was conducted to understandthe association among yield, micronutrients (iron and zinc), and protein content under aerobic conditions in local rice landraces fromvarious agro ecological regions of Karnataka, India. The grain yield per plant showed a significant positive correlation with plantheight, the tiller number, spikelet fertility, flag leaf length, and test weight. The zinc content was negatively correlated with grain yieldper plant. The phenotypic path-coefficient analysis revealed that the total number of tillers, grain length, test weight, and harvest indexexhibited a positive direct effect on grain yield per plant, while Grain protein content showed a low direct effect on this trait. This studyalso indicated that harvest index, flag leaf length, spikelet fertility, and test weight could be considered to make for a higher yield.

목차

등록된 정보가 없습니다.

참고문헌 (0)

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