Variability of key-performance-indicators in commercial gilthead seabream hatcheries

Author:

Kourkouta Chara,Tsipourlianos Andreas,Power Deborah M.,Moutou Katerina A.,Koumoundouros George

Abstract

AbstractSkeletal abnormalities are one of the most important key-performance-indicators (KPIs) in finfish hatcheries. Coping with the problem of skeletal abnormalities relies on the understanding of the link between the variability in the rearing conditions, and the variability in abnormalities incidence. Here, 74 seabream larval populations, from four commercial hatcheries, were examined for the presence of abnormalities and monitored with respect to the applied conditions. The inward folding of gill-cover and pugheadedness were the most frequent abnormalities present, with a mean (± SD) frequency of 11.3 ± 17.9 and 6.0 ± 7.2%, respectively. Other abnormalities were observed at very low mean rates (≤ 1%). A new abnormality type, ray-resorption syndrome, was also found. The recorded rate of normally inflated swimbladder was 92.3 ± 7.4% and mean survival rate was 25.9 ± 21.0%. Classification tree analysis indicated six rearing variables as potentially important predictors for pugheadedness, six variables for caudal-fin abnormalities and 10 variables for survival rate. Complementary genetic analysis, revealed differentiating genetic diversity and significant genetic distances among participating hatcheries, suggestive of the role of company-specific management of genetic resources in KPIs’ variability. The results are discussed with respect to their potential use in the control of skeletal abnormalities by commercial hatcheries, as well as for benchmarking among different hatcheries.

Funder

Horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3