海洋鱼类幼体培养过程中畸形原因的元分析

IF 1.9 4区 农林科学 Q2 FISHERIES
Hatice Tekoğul, Hülya Eminçe Saygı, M. Fırat, Müge Aliye Hekimoğlu, Şahin Saka, Cüneyt Suzer, Osman Özden, Fatih Güleç, Deniz Çoban
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引用次数: 0

摘要

养殖鱼类出现畸形主要是非生物、生物和异生物因素、优化营养方面的信息缺陷以及鱼类在生命早期阶段所接触的遗传背景造成的。一般来说,骨骼异常被认为会对动物福利、养殖鱼类的生物性能、产品质量和生产成本产生重大不利影响。通过荟萃分析法获得的数据显示,无论在哪个地区、持续时间、阶段、因素、种群密度和检测变形的方法,都存在对鱼类正规结构的负面影响。在这方面,根据变形区域/类型进行的研究发现,46%的变形发生在脊柱,37%发生在头部,16%发生在整个骨骼。而荟萃分析的结果显示,表观值的百分比分别为:脊柱 35.82%,骨骼 33.12%,头部 31.06%。无论考虑何种变量,变形率对鱼类的功能特征总体上都有负面影响。此外,所有具有统计意义的单个响应变量都具有负效应。未来,贝叶斯元分析、网络元分析和元回归分析等先进的统计工具可用于探索更复杂的数据结构。人工智能技术的快速发展将提高水产养殖和其他领域元分析研究的数据收集效率和结果的稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Aquaculture Research
Aquaculture Research 农林科学-渔业
CiteScore
4.60
自引率
5.00%
发文量
464
审稿时长
5.3 months
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.
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