순환여과양식시스템 내 수온에 따른 넙치 (Paralichthys olivaceus)의 사료 공급-수온 의존 성장 모델의 개발

Abstract

Olive flounder(Paralichthys olivaceus) is a representative fish species in Korea, mostly farmed in flow-through aquaculture. However, flow-through aquaculture has the disadvantage of being greatly affected by changes in the external environment, and for this reason, the recirculating aquaculture system (RAS) is attracting attention. In order to increase the efficiency of RAS, it is important to predict the growth of fish, which requires the development of a growth model. Several growth models have been developed to predict the growth of fish. However, early growth models didn’t fit the aquaculture industry where fish were raised in a specific environment and fed with feed. The thermal growth coefficient (TGC), which was later developed, was confirmed to be related to the initial fish weight and water temperature, unlike the existing concept that it was not related to the initial heat and water temperature, and was confirmed to be related according to the results of various studies. It didn’t take into account the feed intake according to the water temperature, so it was related to the actual fish growth and has the error that there is a difference. Feed coefficient (FC), another concept used to view fish growth, also didn’t include the rearing period, making it impossible to know the exact fish growth. Hence, a new growth model was created through a new relation called fTGC, which combines the two concepts. In addition, in order to know the daily weight, it was predicted by taking pictures and analyzing them. For this purpose, an experiment was conducted with a total of 15 water tanks in 5 experimental zones at 16℃, 20℃, 24℃, 28℃, and 32℃, and fish was fully fed for 8 weeks. In addition, pictures were taken once every two days until the 4 week and every day until the end of the experiment, and the length was measured using an image analysis program. The difference between the length measured through image analysis and the actual length was not large, so the measurement through the image analysis program was highly reliable. We measured the length, weight, growth rate, TGC, and FC by water temperature and created relation for them. Based on this relation, the 3D model was completed by deriving accumulated fTGC and daily fTGC by water temperature and weight. The completed accumulated fTGC model was Z=447.27-470.66lnX-1530.20/Y+161.656ln(X)2-77943.195/Y2 +1904.009lnX/Y-18.19ln(X)3+210454.4/Y3+22606.27X/Y2-0430.199ln(X)2/Y and the daily fTGC model was Z=473.3762-480.57378lnX-4279.2427/Y+160.27994lnX/Y -17.595591ln(X)3 +172235.3/Y3+18761.922lnX/Y2-666.66939ln(X)2/Y. Through the two models, it was possible to determine the growth level of olive flounder when the water temperature ranged from 16 to 32°C and the total weight ranged from 41 g to 146 g.

Olive flounder(Paralichthys olivaceus) is a representative fish species in Korea, mostly farmed in flow-through aquaculture. However, flow-through aquaculture has the disadvantage of being greatly affected by changes in the external environment, and for this reason, the recirculating aquaculture system (RAS) is attracting attention. In order to increase the efficiency of RAS, it is important to predict the growth of fish, which requires the development of a growth model. Several growth models have been developed to predict the growth of fish. However, early growth models didn’t fit the aquaculture industry where fish were raised in a specific environment and fed with feed. The thermal growth coefficient (TGC), which was later developed, was confirmed to be related to the initial fish weight and water temperature, unlike the existing concept that it was not related to the initial heat and water temperature, and was confirmed to be related according to the results of various studies. It didn’t take into account the feed intake according to the water temperature, so it was related to the actual fish growth and has the error that there is a difference. Feed coefficient (FC), another concept used to view fish growth, also didn’t include the rearing period, making it impossible to know the exact fish growth. Hence, a new growth model was created through a new relation called fTGC, which combines the two concepts. In addition, in order to know the daily weight, it was predicted by taking pictures and analyzing them. For this purpose, an experiment was conducted with a total of 15 water tanks in 5 experimental zones at 16℃, 20℃, 24℃, 28℃, and 32℃, and fish was fully fed for 8 weeks. In addition, pictures were taken once every two days until the 4 week and every day until the end of the experiment, and the length was measured using an image analysis program. The difference between the length measured through image analysis and the actual length was not large, so the measurement through the image analysis program was highly reliable. We measured the length, weight, growth rate, TGC, and FC by water temperature and created relation for them. Based on this relation, the 3D model was completed by deriving accumulated fTGC and daily fTGC by water temperature and weight. The completed accumulated fTGC model was Z=447.27-470.66lnX-1530.20/Y+161.656ln(X)2-77943.195/Y2 +1904.009lnX/Y-18.19ln(X)3+210454.4/Y3+22606.27X/Y2-0430.199ln(X)2/Y and the daily fTGC model was Z=473.3762-480.57378lnX-4279.2427/Y+160.27994lnX/Y -17.595591ln(X)3 +172235.3/Y3+18761.922lnX/Y2-666.66939ln(X)2/Y. Through the two models, it was possible to determine the growth level of olive flounder when the water temperature ranged from 16 to 32°C and the total weight ranged from 41 g to 146 g.