尼日利亚埃多州奥维亚河鱼类的生长分析和性别比例

Ukpamufo Cyril Olowo, Nkonyeasua Kingsley Egun, Aisosa Precious Ehigiator, Ijeoma Patience Oboh
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摘要

本研究调查了尼日利亚埃多州奥维亚河中fasciatus Hemichromis、Synodontis nigrita和Tilapia zillii的长重关系、条件因子和性别比例。在2021年2月至4月期间,在手工渔民的协助下,使用各种网目大小的渔网、鱼网和刺网收集了鱼类标本。对新鲜性腺进行了分类鉴定、形态测量和宏观检查。采用线性回归方程确定鱼长与体重之间的关系,并采用标准技术分析条件因子和性别比。长权关系(LWR)显著相关(p < 0.05),筋膜棘、黑棘和紫棘的生长指数b分别为2.973、2.340和2.565,呈负异速生长模式。平均条件因子值为2.34 ~ 5.68,表明鱼的健康状况良好。筋膜棘螨(1:1.11)、黑棘棘螨(1:0.89)和紫棘螨(1:0.93)的雌雄比例差异不显著(p > 0.05)。本研究提供了奥维亚河中半鱼(Hemichromis fasciatus)、黑齿鱼(Synodontis nigrita)和罗非鱼(Tilapia zillii)鱼类生物学的一些信息,为渔业管理和淡水鱼的保护提供了有益的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Growth analysis and sex ratio of fish species from the Ovia River, Edo State, Nigeria
This study investigated the length-weight relationships, the condition factor, and the sex ratio of Hemichromis fasciatus, Synodontis nigrita, and Tilapia zillii in the Ovia River, Edo State, Nigeria. Fish specimens were collected with the assistance of artisanal fishermen using fishing traps, cast and gill nets of various mesh sizes from February to April 2021. Taxonomical identification, morphometric measurements, and macroscopic examination of the fresh gonads were carried out. The linear regression equation was used to determine the relationship between fish length and body weight, while the condition factor and the sex ratio were analysed using standard techniques. Length-weight relationship (LWR) showed a significant (p < 0.05) correlation and the growth exponent b = 2.973, 2.340, and 2.565 for H. fasciatus, S. nigrita and T. zillii, respectively, indicated a negative allometric growth pattern. Mean condition factor values ranged from 2.34 to 5.68 and was indicative of good health condition for the fishes. Sex ratios did not differ significantly (p > 0.05) from the one male to one female distribution in H. fasciatus (1:1.11), S. nigrita (1:0.89), and T. zillii (1:0.93). The study has provided information on some aspects of the fish biology of Hemichromis fasciatus, Synodontis nigrita, and Tilapia zillii in the Ovia River, and these data are helpful tools for fisheries management and conservation of freshwater fishes.
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