인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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 West African mangrove oyster, Crassostrea tulipa , exhibits high variability in shell morphology, which is influenced by both genetic and environmental factors. The current study investigated the plasticity of C. tulipa sub‐populations within the Densu Estuary, Ghana, from May 2017 to October 2018 with respect to shell morphology, as impacted by some environmental parameters. The study is aimed at providing useful information on the plasticity of oysters in the face of harsh environmental conditions with respect to shell development. The study was carried out in Stations 1, 2, 3 and 4 (a and b), where oysters were present in Stations 3, 4a and 4b. Allometric studies were carried out on oyster samples from three sub‐populations within the Densu Estuary. Temperature, DO, salinity, pH and turbidity were monitored. Bulk density of sediments at the sub‐populations was determined. There was no marked difference in the variations of the physico‐chemical parameters between Station 3 and Station 4 oysters, except for sediment bulk density. There was evidence of high mortality and low population density of oysters at Station 3, as compared to its counterparts. The slopes of the regression of shell height against shell length/total shell weight/wet meat weight of oysters from the various sampling stations showed negative allometry. Oysters at Station 3 showed isometric growth from the regression of shell width on shell height. Station 3 oysters demonstrated higher condition indices and gonadal indices indicative of better physiological status. The findings indicated that Station 3 oysters exhibited morphometric traits consistent with enhanced reproductive potential by demonstrating phenotypic plasticity through the development of bigger inner shell volume for gonadal development and maturation at small shell size in the face of harsh environmental conditions.
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.