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Articles 1 - 6 of 6
Full-Text Articles in Animal Sciences
The Effects Of Different Dietary Protein Sources On The Growth Performances And Body Composition Of The Rock Porgy, Oplegnathus Fasciatus, I-Hao Huang, Jen-Hong Chu, Angela Chien, Shyn-Shin Sheen
The Effects Of Different Dietary Protein Sources On The Growth Performances And Body Composition Of The Rock Porgy, Oplegnathus Fasciatus, I-Hao Huang, Jen-Hong Chu, Angela Chien, Shyn-Shin Sheen
Journal of Marine Science and Technology
This study investigated the effects of different dietary protein sources on the growth performance and muscle composition of the rock porgy, Oplegnathus fasciatus. Four isonitrogenous (48% crude protein) and isolipidic (10% crude lipid) diets were formulated with Peruvian fishmeal (PFM), Taiwanese fishmeal (TFM), poultry by-product meal (PBM) and meat and bone meal (MBM), respectively. The rock porgy (mean initial weight 10.58 g) were reared in 12 tanks and fed with one of the four treatment diets in triplicate for six weeks. The rock porgy fed with diet TFM had significantly higher weight gain than those fed with the other treatment …
Identification Of Preponderant Marine Bacteria And Their Biofouling Characteristics On Adsorbents Of Different Sizes And Shapes In Seawater, Seulki Jeong, Joo-Ae Kim, Hyunji Kim, Kang-Sup Chung, Hye-On Yoon
Identification Of Preponderant Marine Bacteria And Their Biofouling Characteristics On Adsorbents Of Different Sizes And Shapes In Seawater, Seulki Jeong, Joo-Ae Kim, Hyunji Kim, Kang-Sup Chung, Hye-On Yoon
Journal of Marine Science and Technology
We aimed to investigate biofouling characteristics on the surfaces of adsorbents and reservoirs used for lithium recovery from seawater. Three types of adsorbents (type 1, 2 m sphere-shaped; type 2, 2 mm circular; and type 3, 2 mm rod-shaped) and a reservoir (polyurethane sponge) were immersed in seawater for 30 days. Biofouling on the surface of adsorbents and the reservoir was initiated by Vibrio, Alteromonas, and Pseudoalteromonas, suggesting that primary colonization of Gammaproteobacteria was an important feature of the biofouling on the surface. We observed pore size-dependent bacterial composition on the adsorbents; only Alteromonas was found on type 1 adsorbent, …
Development Of A Flow-Driven, Self-Rotating Tank Deposit Remover For Grouper Nurseries, Chyng-Hwa Liou, Chung-Lee Lee, Jyh-Nain Pai, Yuan-Nan Chu
Development Of A Flow-Driven, Self-Rotating Tank Deposit Remover For Grouper Nurseries, Chyng-Hwa Liou, Chung-Lee Lee, Jyh-Nain Pai, Yuan-Nan Chu
Journal of Marine Science and Technology
Tank hygiene is an essential aspect for successful fingerling production but can involve substantial workload to maintain. The purpose of this research is to develop and test a new version of a flow-driven, self-rotating tank deposit remover to automatically and quickly remove the deposit for grouper nurseries. The deposit remover has a suction tube lying on the bottom of the tank. Water flowing through the suction tube drives a propeller to rotate the tube while sucking up the solids on the bottom. Previous versions of the deposit remover suffer from incomplete solid removal and a long operating time. An integrated …
Seasonal Variations In Trophic Links Between Microzooplankton And Nanoflagellates In A Coastal Ecosystem, An Yi Tsai
Seasonal Variations In Trophic Links Between Microzooplankton And Nanoflagellates In A Coastal Ecosystem, An Yi Tsai
Journal of Marine Science and Technology
Using incubation experiments with size-fractionated coastal waters, this study calculated the growth and loss rates of nanoflagellates in a coastal ecosystem of the subtropical western Pacific along a rocky shore in northeastern Taiwan. Samples were taken monthly from September 2014 to August 2015. Seasonal variations in growth rates of heterotrophic nanoflagellates (HNF) and pigmented nanoflagellates (PNF) ranged from 0.17 to 1.13 d-1 and 0.05 to 1.21 d-1, respectively. This study found that grazing had a significant impact on nanoflagellate community (PNF: 0.14 to 0.39 d-1; HNF: 0.12 to 0.52 d-1), accounting for about 15-30% for PNF and 18-60% for HNF …
Winter Abundance And Species Composition Of Anchovy Larvae Associated With Hydrological Conditions In The Coastal Waters Of Tanshui, Taiwan, Yi-Chen Wang, Wen-Yu Chen, Yu-Kai Chen, Yi-Chun Kuo, Ming-An Lee
Winter Abundance And Species Composition Of Anchovy Larvae Associated With Hydrological Conditions In The Coastal Waters Of Tanshui, Taiwan, Yi-Chen Wang, Wen-Yu Chen, Yu-Kai Chen, Yi-Chun Kuo, Ming-An Lee
Journal of Marine Science and Technology
The present study investigated changes in the winter abundance and composition of anchovy larvae associated with hydrological conditions in the coastal waters of Tanshui, Taiwan. A survey during the period of 2008-2014 revealed that the abundance of larvae caught using fyke nets varied from 123.9 to 28,314 ind/1000 m3 , whereas the surface water temperature and salinity ranged from approximately 17C to 18C and 32.84 psu to 33.72 psu, respectively. Engraulis japonicus (Japanese anchovy), Encrasicholina punctifer (buccaneer anchovy), and E. heteroloba (shorthead anchovy) were the dominant species of anchovy larvae, accounting for 0.17%-93.56%. In the La Niña years 2008 and …
Chlorophyll Concentration Derived From Microwave Remote Sensing Measurements Using Artificial Neural Network Algorithm, Young-Heon Jo, Dae-Won Kim, Hyuna Kim
Chlorophyll Concentration Derived From Microwave Remote Sensing Measurements Using Artificial Neural Network Algorithm, Young-Heon Jo, Dae-Won Kim, Hyuna Kim
Journal of Marine Science and Technology
Ocean color optic remote sensing has been used to estimate various biogeochemical constituents to monitor ocean environmental changes in coastal regions and global open oceans. However, the most problematic issue in utilizing ocean color measurements is cloud coverage. Thus, this study introduces a neural network (NN) algorithm to derive Chlorophyll a (Chl) concentrations, which are unavailable due to the presence of clouds. Because ocean color remote sensing depends on cloud coverage, microwave measurements, including sea-surface temperature, cloud, water vapor, precipitation, and winds, were used as inputs for the NN algorithm. Accordingly, the NN algorithm was designed to predict Chl using …