Meta‐analysis of dietary supplementation effect of turmeric and curcumin on growth performance in fish

Abstract

Plant‐based additives are currently used in aquaculture for their various beneficial properties. Curcumin and turmeric are usually applied for their interesting results on growth performance of fish. In this paper, the effect of dietary inclusion of curcumin and turmeric powder on growth performance in fish was studied. Twenty data sets from 5 studies and 29 data sets from 8 publications were respectively computed for curcumin and turmeric in this analysis. Specific growth rate (SGR) was the quantitative criteria recorded for each data set. After, a brief systemic summary of each study, the quantitative analysis was performed. Results showed a significant increase in pooled standard mean difference (SMD) for both fixed and random model in curcumin and turmeric. Although fish species were categorized into family (subcategory), high heterogeneity (>96%) was found in all random and fixed model analysis. Contrary to turmeric, higher curcumin inclusion results in lower specific growth rate. The higher effect sizes observed when fed curcumin at lower inclusion levels suggests that feeding low levels of phytochemicals might be beneficial and its content in turmeric should be analysed for quite homogeneous feed. This study contributes to the analysis of overall growth performance properties of turmeric and curcumin incorporation in fish diet, irrespective to their strong antioxidant and anti‐inflammatory activities.

Systematic review and meta‐analysis of production performance of aquaculture species fed dietary insect meals

“…Furthermore, the discrepancy in feeding protocols, experimental facilities among studies could explain significant heterogeneity in the present study. 41 Regarding publication bias observed in all sub-group analyses, the effect sizes (mean and 95% confidential interval) remained consistent after removing outliers. Therefore, this inefficiency did not affect the conclusions of the present study.…”

“…The covariates, including fishmeal level, fish oil level, chitin level, trophic level, experimental duration and temperature, are important sources of heterogeneity, significantly influencing Hedges’ g effect sizes (Table ). Furthermore, the discrepancy in feeding protocols, experimental facilities among studies could explain significant heterogeneity in the present study 41 . Regarding publication bias observed in all sub‐group analyses, the effect sizes (mean and 95% confidential interval) remained consistent after removing outliers.…”

Environmental enrichment increases aquatic animal welfare: A systematic review and meta‐analysis

“…16 Initially, this statistical method is mainly implemented within the fields of social and medical science, and recently, it has gradually become a powerful tool in ecological and evolutionary science. 14 Despite some researchers successfully applying this method to solve several questions, [17][18][19][20] meta-analyses are generally still relatively rare in aquaculture and fisheries. Here, we provide a systematic review and meta-analysis to comprehensively evaluate the effects of EE on AAW across multiple animal species (fish, cephalopods, crustaceans and aquatic mammals) and developmental stages (egg, larvae, postlarvae, juvenile and adult), various welfare measurements (see below) and diverse enrichment modes (type, colour and duration).…”

The benefits of the microalgae Spirulina and Schizochytrium in fish nutrition: a meta-analysis

“…Maximizing the value of feeding studies using microalgae Microalgae can provide substantial bene ts to aquaculture nutrition but only if results can be replicated and can be used by the aquafeed industry 8,128 . In common with other meta-analysis in aquaculture 129 , we found it di cult to extract the necessary information from sh feeding trials to ascertain effect sizes. A surprisingly large number of studies do not provide enough information to replicate the work, or to ascertain the experimental validity of the results.…”