Using Bacillus subtilis E20‐fermented soybean meal as replacement for fish meal in the diet of orange‐spotted grouper (Epinephelus coioides,Hamilton)

The potential of Bacillus subtilis E20‐fermented soybean meal (FSBM) as a partial alternative component of fish meal (FM) in fed diets of orange‐spotted grouper (Epinephelus coioides) was evaluated in this study. An FM‐based diet and seven diets containing 10%, 20% and 30% and 10%, 20%, 30% and 40% of FM replaced by soybean meal (SBM) and FSBM, respectively, were fed to grouper for 84 days to evaluate possible substitution levels of FM by tracking growth performance, digestive enzyme activity and morphological changes in the liver and distal intestine. No significant differences in survival and muscle composition of grouper were found between controls and treatments. Growth performance and feed efficiency of fish fed diets with FM replaced by FSBM up to 30% were not significantly different from controls, whereas significantly decreased growth performance and feed efficiency occurred with diets containing >20% of SBM. Based on the feed efficiency, the maximum substituted levels of FM by SBM and FSBM in grouper diets were 18.36% and 29.32%, respectively, based on broken‐line analyses. Histopathological changes in the liver and distal intestine, and significantly lower activity levels of digestive enzymes, including pepsin in the stomach and trypsin, chymotrypsin, amylase and lipase in the distal intestine, were found in fish fed a diet containing 30% of FM replaced by SBM. However, these parameters were improved by the substitution of FSBM. It is therefore believed that FSBM has great potential to be used as a protein source in grouper diets in partial replacement of FM.     

Lessons from the past: the collapse of Jamaican coral reefs

Since Pre-Columbian times, humans have exploited Jamaican marine ecosystems with significant consequences for flora and fauna. This study focuses on the history of reef fish exploitation in Jamaica, from first human occupation to the present day, to determine how past fishing activities contributed to subsequent declines in the coral reef ecosystem. The pattern of declining reef fish populations was nonlinear. Reef fish first declined in prehistoric times but then potentially recovered, following genocide of the native human population. Reduced fishing pressure lasted until the mid-19th century. At that time, depletion of reef fish populations again occurred with a precipitous decline from the 1850s to the 1940s. The final shift from relatively abundant to overfished marine fauna corresponded to subtle changes in fish trap design as well as development of recreational fishing. Government subsidies throughout the second half of the 20th century exacerbated the declines. This analysis shows that local artisanal fisheries with relatively low levels of effort and seemingly subtle shifts in technology can significantly impact the coral reef ecosystem and that declines occurred decades to centuries before modern ecological studies began. This research shows how historical analysis can be a powerful tool to minimize shifted baselines and establish realistic targets for recovery and sustainable management of marine ecosystems.     

浙江中北部沿岸春、夏季鱼卵和仔稚鱼种类组成与数量分布

根据2008年4,5,6月在浙江中北部沿岸禁渔区线内45个站位开展的产卵场调查资料,研究分析了该海域鱼卵、仔稚鱼的种类组成和数量分布。结果表明,本海区共出现鱼卵、仔稚鱼64个种类,分别隶属13目36科47属,能鉴定到种的有47种,鉴定到科的有17种。3个航次的调查共采集到鱼卵5 846个和仔稚鱼5 502个。其中4月最少,仅采集到鱼卵366个和仔稚鱼1 445个,分别占鱼卵和仔稚鱼总数量的6.26%、26.26%;5月份共采集到鱼卵1 530个和仔稚鱼1 551个,分别占鱼卵和仔稚鱼总数量的26.17%、28.19%;6月份数量最多,共采集到鱼卵3 950个和仔稚鱼2 506个,分别占总数的67.57%、45.55%,4—6月鱼卵、仔稚鱼的数量呈月递增趋势。鱼卵中石首鱼科未定种最多占10.06%,其次黄姑鱼占6.45%,再次为凤鲚占总数的6.06%。凤鲚仔稚鱼数量最多,占总种类数的34.06%,其次为虾虎鱼科仔稚鱼,占24.25%,再次为鲻科鱼类仔稚鱼,占23.57%。调查发现杭州湾是凤鲚的主要产卵场,其仔稚鱼也主要分布在杭州湾内,少量分布在舟山渔场和鱼山渔场。小黄鱼产卵场主要分布在舟山渔场、鱼山渔场外侧。从产卵时间和渔场分布来看,鱼山渔场是最早集中的水域,随着时间推移,产卵场的中心区向北部水域的舟山渔场转移。研究的海域内重要经济鱼类大黄鱼、小黄鱼、银鲳的鱼卵数量百分比明显下降,由1960年的优势种成为现在的非优势种;主要经济鱼类中鳓、凤鲚所占比例相对增加,但绝对数量有所下降。在某种程度上说明,沿岸水域资源补充量有所减少,这可能与水域环境变化及过度捕捞导致亲体量减少有关。     

以鲥为瘟:古代长江鲥鱼的污名化

鲥鱼在明清一些著作中被称为瘟鱼。历来关于瘟鱼的解释主要围绕鲥鱼本身来阐发,但这些观点不能很好地解释鲥鱼为何会在江西、两湖以及四川一带被称作瘟鱼,而在盛产鲥鱼的江东却没有这种指称。明人的“瘟鱼”观点源自唐人孟诜“发疳、痼”的说法,李时珍所说的蜀地瘟鱼并不是鲥鱼。一些清人认为瘟鱼并非来自鲥鱼本身。《见闻录》中记载了一个鲥鱼被虚构成瘟鱼的故事,揭示出瘟鱼是后人将瘟疫附会到鲥鱼身上的结果。显然,鲥鱼在特定地点被称为瘟鱼,是鲥鱼与地方文化结合的产物。     

鱼粉品质检测电子鼻传感器阵列的多特征数据融合优化

为了提高基于仿生嗅觉的鱼粉品质检测装置的鉴别能力,该文利用自主设计的仿生嗅觉鱼粉品质检测装置,提取鱼粉样本的响应特征信息,对其传感器阵列进行多特征数据融合优化。依据各传感器对样本的响应曲线,提取传感器特征值(10×6个)构成原始特征矩阵,后对传感器阵列特征值进行归一化处理,以紧凑性作为评价特征选择方法合理性的标准,采用了3种单特征排序方法(MIC、χ^2、F-test),3种多特征排序方法(RF、LR、SVM),4种特征递减消除方法(RFRFE、SVMRFE、DTRFE、LRRFE)对不同品质的鱼粉进行分类准确率检验,得到基于随机森林的特征递减消除算法(RFRFE)的紧凑性最好,此时最佳的分类准确率为98.3%,特征数目为33个。优化后的传感器阵列特征发生了明显的变化,传感器阵列由原来的10个变为了8个,去掉了传感器TGS2620和传感器TGS2600,特征值也减少了45%。为了避免选择偏差,采用了10折交叉验证方法,再次得到了RFRFE算法具有更佳的紧凑性。该特征选择方法为利用仿生嗅觉技术鉴别其他动物源性原料样本的特征优化提供了新的方法和参考。     

权重约束AdaBoost鱼眼识别及改进Hough圆变换瞳孔智能测量

针对传统鱼眼瞳孔直径测量方法耗时、耗力,且数据主观性强的问题,该文提出基于权重约束AdaBoost和改进Hough圆变换的鱼眼瞳孔直径智能测量方法。首先,利用工业相机采集实验板上的鱼图像,从正负鱼眼图像样本中训练出基于权重约束AdaBoost算法的鱼眼分类器;然后,采用该分类器对试验图像进行检测,将检测到的鱼眼局部图从整体图中分离出来;最后,采用改进的Hough圆变换检测出鱼眼的瞳孔,并计算得到瞳孔直径。对100条金鲳鱼进行试验,鱼眼分类精度达97.1%,瞳孔正确检测率达94.2%,相比改进前分别提升了1.7个百分点和10.5个百分点,与人工测量瞳孔直径值的平均偏差为6.5%,比改进前低了5.9个百分点,总的平均测量时间为324.371 ms,比改进前减少了10.707 ms。试验证明:该文提出的方法能够精确、实时、自动地测量出鱼眼瞳孔的直径,有效避免了传统测量方式的复杂性和测量数据的主观性,可为鱼体生长状况评估、良种选育提供重要参考。     

南极鱼类适应低温的分子进化研究进展

南大洋是地球上最冷的水域,水温常年在0℃以下,许多生物在南大洋降温过程中走向灭绝,而南极鱼亚目鱼类在南大洋逐渐变冷过程中快速进化,成为冰冻海域最繁盛的脊椎动物.随着越来越多的南极亚目鱼类基因组完成测序和分析,人们对这些鱼类在冰冻环境下生存和繁衍机制的认识也越来越深入和全面.本文从抗冻蛋白的起源、血液发生、抗过氧化机制、...     

Target-based Security Management Architecture Applied to Management Information System

In order to implement the security management of management information system (MIS), a target-based security management architecture is proposed. For MIS users, the user interface (UI) is the only way to interact with the MIS system, so all the objects (targets) which need to be managed on UI is registered first, thus for every target the state such as enabled, not enabled, visible, not visible, readonly etc., is assigned. For some users, a set of targets with some state is assigned so that the management granularity in MIS can reach any degree. This approach provides a very flexible way to the security management in MIS.     

基于双次Otsu算法的野外荔枝多类色彩目标快速识别

针对目前野外环境下多类目标识别速度偏慢,导致机器人视觉定位精度低和工作效率不高的难题,以野外环境下成熟荔枝的多类色彩目标识别为例,提出了一种双次Otsu分割算法对多类色彩目标进行识别。首先为了提高算法的效率,改进了传统的Otsu算式;然后对目标色彩图像的背景、果梗、果实分别用改进的Otsu算法进行粗分割和细分割。最后通过与K-均值聚类(K-means)算法、模糊C均值聚类(FCM)算法、Otsu和K-means结合算法、Otsu和FCM结合算法这4种算法进行对比,双次Otsu算法从分割质量及其正确分割率、运行时间、稳定性3方面都优于其他4种算法。实验结果表明,双次Otsu算法对色彩目标的成熟荔枝识别的时间少于0.2 s。