Abstract

Simple SummaryThe use of haematological and blood biochemistry parameters has proven to be effective and repeatable ways to monitor fish health. Testing these parameters is becoming more common in aquaculture studies. Further, it is widely accepted that fish with better health status are more likely to grow faster as less energy should be consumed for non-growth purposes. Here, a new formula (Blood Performance) is introduced, which contains five common haematological and blood biochemistry parameters: red blood cells, white blood cells, haemoglobin, haematocrit, and total protein. The idea behind this formula is that any single component of this formula cannot be reliable enough as a biomarker of fish health and growth. However, interestingly, Blood Performance can be much more reliable and accurate for monitoring fish health and growth.Monitoring fish health in a repeatable and accurate manner can contribute to the profitability and sustainability of aquaculture. Haematological and blood biochemistry parameters have been powerful tools and becoming increasingly common in aquaculture studies. Fish growth is closely related to its health status. A fish with a higher growth rate is more likely to be a healthy one. Any change in the physiological status of the fish, from pollution to nutritional stress, can cause changes in the blood parameters. Various aquaculture studies have measured the following components: red blood cells, white blood cells, haemoglobin, haematocrit, and total protein. However, because these parameters do not always follow the same trend across experimental fish, it is difficult to draw a firm conclusion about which parameter should be considered. Therefore, Blood Performance (BP) as a new formula is introduced, which is a more reliable indicator. This formula is simple and sums up the natural logarithm of the five above-mentioned parameters. More than 90 published peer-reviewed articles that measured these five parameters in the last six years confirmed the reliability and validity of this formula. Regardless of which supplements were added to the diets, the fish with a higher growth rate had higher BP as well. In addition, in 44 studies out of 53 articles, there was a significant positive correlation between specific growth rate and BP. Under different stressful situations, from pollution to thermal stress, the fish under stress had a lower BP than the control. Fish meal and fish oil replacement studies were further evidence for this formula and showed that adding excessive alternative proteins decreased growth along with BP. In conclusion, BP can be a reliable indicator of fish health and growth when it is compared between groups in the same experiment or farm. Although there was a positive correlation between specific growth rate and BP, comparing BP between experiments is not recommended. Standardising the haematological assays can improve the reliability and accuracy of BP across experiments.

Highlights

  • Aquaculture has been considered a sustainable option to provide food for humans

  • Three objectives were pursued: (i) monitoring these parameters where treatment resulted in significantly higher growth (HG) compared to control (S1) to find the possible connection between growth and Blood Performance (BP), (ii) investigating these parameters in fish meal and oil (FM/FO) replacement studies where treatment resulted in no significant growth change compared to control or in cases where adverse effects by the inclusion of excessive alternative proteins or oils were observed

  • The UCR and p-value of coefficient regression both confirmed that all five parameters influence BP and that one unit change in BP results in 0.33, 0.28, 0.19, 0.15, and 0.08 change in total protein (TP), Ht, white blood cells (WBC), red blood cells (RBC), and Hb, respectively

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Summary

Introduction

Aquaculture has been considered a sustainable option to provide food for humans. According to the latest statistics [1], there is an upward trend in the contribution of aquaculture in the total production of aquatic animals (45% in 2018), showing this food sector is on the right track for sustainability when compared to previous decades, when fish capture accounted for the majority of total production. Numerous factors, ranging from environmental variables to the sample collection process, have impacts on blood data, causing it to fall outside of the reference interval [9,10,11,12,13] Despite these limitations, comparing haematological and blood biochemical parameters between treatments within the same experimental design can be a reliable monitoring tool. Three objectives were pursued: (i) monitoring these parameters where treatment resulted in significantly higher growth (HG) compared to control (S1) to find the possible connection between growth and BP, (ii) investigating these parameters in fish meal and oil (FM/FO) replacement studies where treatment resulted in no significant growth change compared to control or in cases where adverse effects by the inclusion of excessive alternative proteins or oils were observed This formula was modified by adding a natural logarithm, and regression coefficients for this formula and correlation analysis between BP and its component (five parameters) were calculated to test their relations. The stepwise method was tried as well, and the results showed the highest R square occurs when we include all five variables

Haemoglobin
Haematocrit
Red Blood Cells
White Blood Cells
Total Serum Protein
Blood Performance
Regression Coefficients and Correlation Analysis
Blood Performance and Growth
Blood Performance and Stress
Findings
Conclusions and Prospect
Full Text
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