The effect of fishmeal quality on growth,feed conversion ratio and protein digestibility was studied in a growth experiment with shrimp and red seabream.The shrimp and fish were fed three diets varing in the quality o...The effect of fishmeal quality on growth,feed conversion ratio and protein digestibility was studied in a growth experiment with shrimp and red seabream.The shrimp and fish were fed three diets varing in the quality of the fishmeal used in the respective feeds: low quality fish meal,good quality fish meal,and Peru fish meal.The experiment lasted for 2 months.The shrimp and fish fed the feed with good quality fish meal showed significantly better feed conversion ratio,weight gain rate,protein digestibility than the other groups.展开更多
We investigated movement pattern of commercial important fish around Offshore Wind Turbine(OWT)and neighboring habitats in Goto Islands.We tagged 55 individuals of 2 fish species and released around the OWT in 2017.(2...We investigated movement pattern of commercial important fish around Offshore Wind Turbine(OWT)and neighboring habitats in Goto Islands.We tagged 55 individuals of 2 fish species and released around the OWT in 2017.(27 Pagrus major from 1st Feb 2017 to 16th Mar 2017(winter),8 P.major and 20 Seriola quinqueradiata from 13th July 2017 to 13th Oct 2017(summer)).Acoustic receivers were deployed at OWT,south artificial reef(AS),trapnet(TN),north FAD(F1)and south FAD(F2)in winter and two more receivers were deployed at north artificial reef(AN)and natural reef(NR)in summer.We observed 12 P.major at OWT for a day after released in winter,majority of fish(13 individuals)were detected at TN.In summer,7 P.major were observed at OWT,1 visited TN within the day,but others disappeared.Ten S.quinqueradiata stayed at OWT longer than P.major after released and disappeared within 2 days.They mostly moved around AS,AN,NR.Residence time from K-M curve was 10 days for P.major in winter,a day in summer and 3 days for S.quinqueradiata.Both species showed low affinity for OWT as recorded low residency index despite the season.展开更多
To identify the abnormal characteristics of the oplegnathus punctatus is great importance to the detection of iridovirus disease in the breeding environment.In this paper,an advanced neural network model to identify t...To identify the abnormal characteristics of the oplegnathus punctatus is great importance to the detection of iridovirus disease in the breeding environment.In this paper,an advanced neural network model to identify the characteristics of the oplegnathus puncta-tus and predict its different periods of suffering from iridovirus disease is proposed based on the establishment of a data set.First of all,a standard format data set of oplegnathus punctatus and an abnormal format date set are established in order to verify the effective-ness of the method in this paper.And then,the feature extraction fusion method is used for preprocessing in terms of the abnormal format data set,which combines the edge fea-tures extracted by the improved multi-template Sobel operator and the color features extracted by the HSV model.Finally,an improved VGG-GoogleNet network recognition model comes into being through the fusion and improvement of the VGG and GoogleNet neural network structure.The experiments results show that the prediction accuracy rate for oplegnathus punctatus suffering from iridovirus disease in the the abnormal format data set and the standard format data set are improved,which reach 98.55%and 69.18%.展开更多
文摘The effect of fishmeal quality on growth,feed conversion ratio and protein digestibility was studied in a growth experiment with shrimp and red seabream.The shrimp and fish were fed three diets varing in the quality of the fishmeal used in the respective feeds: low quality fish meal,good quality fish meal,and Peru fish meal.The experiment lasted for 2 months.The shrimp and fish fed the feed with good quality fish meal showed significantly better feed conversion ratio,weight gain rate,protein digestibility than the other groups.
文摘We investigated movement pattern of commercial important fish around Offshore Wind Turbine(OWT)and neighboring habitats in Goto Islands.We tagged 55 individuals of 2 fish species and released around the OWT in 2017.(27 Pagrus major from 1st Feb 2017 to 16th Mar 2017(winter),8 P.major and 20 Seriola quinqueradiata from 13th July 2017 to 13th Oct 2017(summer)).Acoustic receivers were deployed at OWT,south artificial reef(AS),trapnet(TN),north FAD(F1)and south FAD(F2)in winter and two more receivers were deployed at north artificial reef(AN)and natural reef(NR)in summer.We observed 12 P.major at OWT for a day after released in winter,majority of fish(13 individuals)were detected at TN.In summer,7 P.major were observed at OWT,1 visited TN within the day,but others disappeared.Ten S.quinqueradiata stayed at OWT longer than P.major after released and disappeared within 2 days.They mostly moved around AS,AN,NR.Residence time from K-M curve was 10 days for P.major in winter,a day in summer and 3 days for S.quinqueradiata.Both species showed low affinity for OWT as recorded low residency index despite the season.
基金The work of this paper is jointly supported by the National Natural Science Foundation of China (U1706220,61472172)the Yantai Key R&D Project (2017ZH057,2018ZDCX003,2019XDHZ084).
文摘To identify the abnormal characteristics of the oplegnathus punctatus is great importance to the detection of iridovirus disease in the breeding environment.In this paper,an advanced neural network model to identify the characteristics of the oplegnathus puncta-tus and predict its different periods of suffering from iridovirus disease is proposed based on the establishment of a data set.First of all,a standard format data set of oplegnathus punctatus and an abnormal format date set are established in order to verify the effective-ness of the method in this paper.And then,the feature extraction fusion method is used for preprocessing in terms of the abnormal format data set,which combines the edge fea-tures extracted by the improved multi-template Sobel operator and the color features extracted by the HSV model.Finally,an improved VGG-GoogleNet network recognition model comes into being through the fusion and improvement of the VGG and GoogleNet neural network structure.The experiments results show that the prediction accuracy rate for oplegnathus punctatus suffering from iridovirus disease in the the abnormal format data set and the standard format data set are improved,which reach 98.55%and 69.18%.
