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 The low fertilizer utilization efficiency and metal(loid) contamination have become dual challenges that constrain the production of rice and thus food security. To address these issues, a life-cycle greenhouse study was conducted with rice ( Oryza sativa ) grown in soil co-contaminated with cadmium (Cd) and arsenic (As) and treated with several synthetic fertilizers. These fertilizers included regular fertilizers (F), biochar-based fertilizers (BF) and nano-biochar-based fertilizers (NBF), each formulated with varying nitrogen:phosphorus:potassium (N:P:K) ratios (I, II, and III). The results revealed a differential suppression of Cd (strongest under F-I, followed by NBF-III) and As (strongest under F-II, followed by NBF-I) in rice grains, attributable to disparities in their environmental chemistry, bioavailability, and plant-mediated uptake and translocation mechanisms. While BF enhanced catalase and alkaline phosphatase activities, NBF more effectively stimulated urease activity throughout the 0–10 cm layer and sucrase activity in the deeper 5–10 cm zone. Notably, NBF increased soil metabolic diversity under Cd and As stress while strengthening the genetic regulatory capacity and environmental adaptability of microbial communities. Furthermore, NBF dynamically regulated the migration of Cd and As into porewater, resulting in more stable and effective immobilization compared to BF and F treatments. These findings highlight that the application of biochar, particularly nano-biochar, for paddy soil remediation necessitates a contaminant-specific and nutrient-managed strategy. Tailoring both the biochar type and the accompanying N:P:K ratio is crucial for targeting the biogeochemical behavior of the dominant contaminant, thereby ensuring grain safety and supporting sustainable rice production. Graphic Abstract
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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