인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Blue mold rot of onion is one of the most damaging diseases, reported in Pakistan during the current studies, and is responsible for losses at a considerable level in onion growing areas, during transportation, and in storages. The aim of the present study is to evaluate the antifungal potential of four Trichoderma species against Penicillium expansum ; the causal agent of blue mold rot of onion in Pakistan. Results Efficacy of in vitro findings exhibited that T. harzianum and T. viride inhibited the growth of the test fungus by about 63%, whereas T. virion, followed by T. hamentum, inhibited the radial mycelial colony growth of P. expansum by 46%, followed by 33%; moreover, control Petri plates showed the maximum radial mycelial colony growth of test fungus. Efficacy of in vivo study exhibited that T. harzianum was found most potential antagonist with the highest antagonistic impact on onion against blue mold rot severity %, followed by T. viride . The antifungal potential against disease and blue mold rot of onion disease caused by P. expansum was efficient and the rot severity % on onion was recorded 37.3% followed by 51.0% treated with T. viride followed by T. harzianum , respectively, whereas control group showed 86.7% rottening in the onions. Conclusion Based on the findings of the present study, the Trichoderma species showed antifungal potential to reduce the mycelial growth of P. expansum in vitro condition and against the blue mold rot severity % on onion. T. harzianum reduced rot severity by 64% and T. viride by 41% indicating promising potential to control the blue mold rot of onion and are recommended for application as postharvest biocontrol agents in Pakistan for management of blue mold rot of onion. Future studies should focus on formulation development and commercial-scale validation.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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