Hatice Tekoğul, Hülya Eminçe Saygı, M. Fırat, Müge Aliye Hekimoğlu, Şahin Saka, Cüneyt Suzer, Osman Özden, Fatih Güleç, Deniz Çoban
{"title":"海洋鱼类幼体培养过程中畸形原因的元分析","authors":"Hatice Tekoğul, Hülya Eminçe Saygı, M. Fırat, Müge Aliye Hekimoğlu, Şahin Saka, Cüneyt Suzer, Osman Özden, Fatih Güleç, Deniz Çoban","doi":"10.1155/2023/9932995","DOIUrl":null,"url":null,"abstract":"The development of deformities in farmed fish is largely the result of abiotic, biotic, and xenobiotic factors, information deficiencies in optimizing nutrition, and the genetic background to which the fish are exposed in their early life stages. In general, skeletal anomalies are considered to have significant adverse effects on animal welfare, biological performance of farmed fish, product quality, and production costs. In the data obtained by the meta-analysis method, the presence of negative effects on the formal structures of fish was found, regardless of the region, duration, stage, factor, stock density, and method used to detect deformation. In this regard, in the studies considered within the deformation region/type, 46% of deformities were found in the spine, 37% in the head, and 16% in the total skeleton. In turn, the results of the meta-analysis showed that the percentages of the apparent value were 35.82% in the spine, 33.12% in the skeleton, and 31.06% in the head. The deformation rate had an overall negative effect on the functional characteristics of the fish, regardless of the variables considered. In addition, all statistically significant individual response variables had a negative effect size. In the future, advanced statistical tools such as Bayesian meta-analysis, network meta-analysis, and meta-regression analysis can be used to explore more complex data structures. The rapid development of artificial intelligence techniques will increase the efficiency of data collection and the robustness of results for meta-analysis studies in aquaculture and other fields.","PeriodicalId":8104,"journal":{"name":"Aquaculture Research","volume":"312 4","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-Analysis of the Causality of Deformations in Marine Fish Larvae Culture\",\"authors\":\"Hatice Tekoğul, Hülya Eminçe Saygı, M. Fırat, Müge Aliye Hekimoğlu, Şahin Saka, Cüneyt Suzer, Osman Özden, Fatih Güleç, Deniz Çoban\",\"doi\":\"10.1155/2023/9932995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of deformities in farmed fish is largely the result of abiotic, biotic, and xenobiotic factors, information deficiencies in optimizing nutrition, and the genetic background to which the fish are exposed in their early life stages. In general, skeletal anomalies are considered to have significant adverse effects on animal welfare, biological performance of farmed fish, product quality, and production costs. In the data obtained by the meta-analysis method, the presence of negative effects on the formal structures of fish was found, regardless of the region, duration, stage, factor, stock density, and method used to detect deformation. In this regard, in the studies considered within the deformation region/type, 46% of deformities were found in the spine, 37% in the head, and 16% in the total skeleton. In turn, the results of the meta-analysis showed that the percentages of the apparent value were 35.82% in the spine, 33.12% in the skeleton, and 31.06% in the head. The deformation rate had an overall negative effect on the functional characteristics of the fish, regardless of the variables considered. In addition, all statistically significant individual response variables had a negative effect size. In the future, advanced statistical tools such as Bayesian meta-analysis, network meta-analysis, and meta-regression analysis can be used to explore more complex data structures. The rapid development of artificial intelligence techniques will increase the efficiency of data collection and the robustness of results for meta-analysis studies in aquaculture and other fields.\",\"PeriodicalId\":8104,\"journal\":{\"name\":\"Aquaculture Research\",\"volume\":\"312 4\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aquaculture Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/9932995\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aquaculture Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1155/2023/9932995","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FISHERIES","Score":null,"Total":0}
Meta-Analysis of the Causality of Deformations in Marine Fish Larvae Culture
The development of deformities in farmed fish is largely the result of abiotic, biotic, and xenobiotic factors, information deficiencies in optimizing nutrition, and the genetic background to which the fish are exposed in their early life stages. In general, skeletal anomalies are considered to have significant adverse effects on animal welfare, biological performance of farmed fish, product quality, and production costs. In the data obtained by the meta-analysis method, the presence of negative effects on the formal structures of fish was found, regardless of the region, duration, stage, factor, stock density, and method used to detect deformation. In this regard, in the studies considered within the deformation region/type, 46% of deformities were found in the spine, 37% in the head, and 16% in the total skeleton. In turn, the results of the meta-analysis showed that the percentages of the apparent value were 35.82% in the spine, 33.12% in the skeleton, and 31.06% in the head. The deformation rate had an overall negative effect on the functional characteristics of the fish, regardless of the variables considered. In addition, all statistically significant individual response variables had a negative effect size. In the future, advanced statistical tools such as Bayesian meta-analysis, network meta-analysis, and meta-regression analysis can be used to explore more complex data structures. The rapid development of artificial intelligence techniques will increase the efficiency of data collection and the robustness of results for meta-analysis studies in aquaculture and other fields.
期刊介绍:
International in perspective, Aquaculture Research is published 12 times a year and specifically addresses research and reference needs of all working and studying within the many varied areas of aquaculture. The Journal regularly publishes papers on applied or scientific research relevant to freshwater, brackish, and marine aquaculture. It covers all aquatic organisms, floristic and faunistic, related directly or indirectly to human consumption. The journal also includes review articles, short communications and technical papers. Young scientists are particularly encouraged to submit short communications based on their own research.