鉴于华鳈(Sarcocheilichthys sinensis)地理分布广泛,不同水域的种群可能存在营养成分差异,为进一步评估钱塘江华鳈(S.sinensis from the Qiantang River)肌肉的营养价值,本研究根据国家相关标准,对钱塘江华鳈肌肉的常规营养成分、氨基...鉴于华鳈(Sarcocheilichthys sinensis)地理分布广泛,不同水域的种群可能存在营养成分差异,为进一步评估钱塘江华鳈(S.sinensis from the Qiantang River)肌肉的营养价值,本研究根据国家相关标准,对钱塘江华鳈肌肉的常规营养成分、氨基酸和脂肪酸组成进行了测定和分析。研究结果显示,钱塘江华鳈肌肉中粗蛋白含量为18.14%±0.49%,粗脂肪含量为2.25%±0.10%,粗灰分含量为1.24%±0.02%,水分含量为78.47%±0.13%;肌肉中含有15种常见氨基酸,氨基酸总量(TAA)为17.83%±0.45%,其中8种必需氨基酸(EAA)总量为7.35%±0.31%,鲜味氨基酸总量(DAA)为6.91%±0.10%;肌肉中富含18种脂肪酸,包括11种饱和脂肪酸(SFA,含量为32.34%±0.31%)、2种单不饱和脂肪酸(MUFA,含量为40.46%±0.53%)和5种多不饱和脂肪酸(PUFA,含量为27.19%±0.71%);肌肉中含有铁(Fe)、锌(Zn)、锰(Mn)和锡(Sn)等微量元素。总之,钱塘江华鳈肉质鲜美,且肌肉中氨基酸、脂肪酸及微量元素的组成丰富、合理,是一种有着丰富营养价值和开发价值的小型经济鱼类。展开更多
为了解古新河鱼类群落结构特征,于2022年12月对该河进行了1次调查,共采集鱼类13种,隶属于2目4科,其中76.92%为鲤科(Cyprinidae)鱼类。古新河水域鱼类群落优势种为蒙古鲌(Culter mongolicus)、银鲫(Carassius auratus gibelio);4种摄食...为了解古新河鱼类群落结构特征,于2022年12月对该河进行了1次调查,共采集鱼类13种,隶属于2目4科,其中76.92%为鲤科(Cyprinidae)鱼类。古新河水域鱼类群落优势种为蒙古鲌(Culter mongolicus)、银鲫(Carassius auratus gibelio);4种摄食功能群中,杂食性(46.15%)和肉食性(38.46%)鱼类物种数比例较高,共占总物种数的84.62%;3种生态类群中,淡水定居性鱼类占绝大多数(84.62%)。群落Shannon-Wiener多样性指数值偏低,平均值为1.15,且在空间上有差异,1#的H′为0.76,不到2#的1/2,引起原因应与蒙古鲌等优势种空间分布不均及采样点间物种数不同有关。To understand the status of biodiversity and community structure of fish assemblage in the Guxin River, the resource survey was conducted in December 2022. A total of 13 species of fish were collected, belonging to 2 orders and 4 families. Among them, Cyprinidae had the largest number of species, accounting for 76.92%. Culter mongolicus and Carassius auratus gibelio were the dominant species in winter. Omnivorous (46.15%) and Carnivorous (38.46%) fish specices were the most frequent of the four feeding functional groups, which account for 84.62% of the total, and sedentary fish species (84.62%) were the most frequent of three ecological groups. The Shannon-Wiener diversity index of the community was relatively low, with an average value of 1.15. And there were spatial differences, with H′of 1# being 0.76, which was less than half of 2#. The reason for this should be related to the uneven spatial distribution of dominant species such as Mongolian culter and the different number of species between sampling points.展开更多
文摘鉴于华鳈(Sarcocheilichthys sinensis)地理分布广泛,不同水域的种群可能存在营养成分差异,为进一步评估钱塘江华鳈(S.sinensis from the Qiantang River)肌肉的营养价值,本研究根据国家相关标准,对钱塘江华鳈肌肉的常规营养成分、氨基酸和脂肪酸组成进行了测定和分析。研究结果显示,钱塘江华鳈肌肉中粗蛋白含量为18.14%±0.49%,粗脂肪含量为2.25%±0.10%,粗灰分含量为1.24%±0.02%,水分含量为78.47%±0.13%;肌肉中含有15种常见氨基酸,氨基酸总量(TAA)为17.83%±0.45%,其中8种必需氨基酸(EAA)总量为7.35%±0.31%,鲜味氨基酸总量(DAA)为6.91%±0.10%;肌肉中富含18种脂肪酸,包括11种饱和脂肪酸(SFA,含量为32.34%±0.31%)、2种单不饱和脂肪酸(MUFA,含量为40.46%±0.53%)和5种多不饱和脂肪酸(PUFA,含量为27.19%±0.71%);肌肉中含有铁(Fe)、锌(Zn)、锰(Mn)和锡(Sn)等微量元素。总之,钱塘江华鳈肉质鲜美,且肌肉中氨基酸、脂肪酸及微量元素的组成丰富、合理,是一种有着丰富营养价值和开发价值的小型经济鱼类。
文摘为了解古新河鱼类群落结构特征,于2022年12月对该河进行了1次调查,共采集鱼类13种,隶属于2目4科,其中76.92%为鲤科(Cyprinidae)鱼类。古新河水域鱼类群落优势种为蒙古鲌(Culter mongolicus)、银鲫(Carassius auratus gibelio);4种摄食功能群中,杂食性(46.15%)和肉食性(38.46%)鱼类物种数比例较高,共占总物种数的84.62%;3种生态类群中,淡水定居性鱼类占绝大多数(84.62%)。群落Shannon-Wiener多样性指数值偏低,平均值为1.15,且在空间上有差异,1#的H′为0.76,不到2#的1/2,引起原因应与蒙古鲌等优势种空间分布不均及采样点间物种数不同有关。To understand the status of biodiversity and community structure of fish assemblage in the Guxin River, the resource survey was conducted in December 2022. A total of 13 species of fish were collected, belonging to 2 orders and 4 families. Among them, Cyprinidae had the largest number of species, accounting for 76.92%. Culter mongolicus and Carassius auratus gibelio were the dominant species in winter. Omnivorous (46.15%) and Carnivorous (38.46%) fish specices were the most frequent of the four feeding functional groups, which account for 84.62% of the total, and sedentary fish species (84.62%) were the most frequent of three ecological groups. The Shannon-Wiener diversity index of the community was relatively low, with an average value of 1.15. And there were spatial differences, with H′of 1# being 0.76, which was less than half of 2#. The reason for this should be related to the uneven spatial distribution of dominant species such as Mongolian culter and the different number of species between sampling points.
