Evidence map›Paper›PMID 40593992›Full record

ArticleScientific reports2025

Investigation of the effects of phytogenic dietary additives on growth performance, nutrient utilization, economic efficiency and health of Pangasius hypophthalmus : implications for sustainable aquaculture development.

Habib Ul Hassan, Amjad Ali, Basim S A Al Sulivany, Muhammad Bilal, Roohi Kanwal, Muhammad Ahsan Raza, Abdul Arslan, Meer Zeeshan Ijaz, Muhammad Kabir, Mohammad Rizwan Khan and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Phytochemical Profiling, Antioxidant and Antibacterial Activities ofAnimals : an open access journal from MDPI · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Habib Ul HassanDepartment of Zoology (MRC & RC), University of Karachi, Karachi, 75270, Pakistan. habib5447@gmail.com.ORCID http://orcid.org/0000-0003-3326-0143
Amjad AliCenter of Excellence in Marine Biology, University of Karachi, Karachi, 75270, Pakistan.
Basim S A Al SulivanyDepartment of Biology, College of Science, University of Zakho, Duhok, Zakho, Iraq.
Muhammad BilalSchool of Molecular and Life Science, Curtin University, Perth, 6845, Australia.
Roohi KanwalDepartment of Zoology (MRC & RC), University of Karachi, Karachi, 75270, Pakistan.
Muhammad Ahsan RazaDepartment of Biology, Government Postgraduate College Satellite Town, Gujranwala, Pakistan.
Abdul ArslanDepartment of Biology, Government Postgraduate College Satellite Town, Gujranwala, Pakistan.
Meer Zeeshan IjazDepartment of Zoology, University of Sialkot, Sialkot, Punjab, Pakistan.
Muhammad KabirDepartment of Biological Sciences, Thal University Bhakkar (University of Sargodha, Ex-Sub-Campus Bhakkar), Bhakkar, 30000, Punjab, Pakistan.
Mohammad Rizwan KhanDepartment of Chemistry, College of Science, , King Saud University, Riyadh, Saudi Arabia.
Nadiah Wan RasdiFaculty of Fisheries and Food Science, Universiti Malaysia, 21030, Kuala Terengganu, Malaysia.
Takaomi AraiEnvironmental and Life Sciences Programme, Faculty of Science, University Brunei Darussalam, Gadong, BE, 1410, Brunei.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants exhibit promising potential for the current needs in aquaculture production which is expected to grow in coming decades to feed a growing population and lead the blue revolution. Medicinal plants are a substitute for phytotherapy in treating fish disease outbreaks and enhance biological and growth performance providing a sustainable alternative to antibiotics and chemicals. A seventy-day trial investigated the active components of herbal extracts in improving fish health, survival, and growth of Thai pangus. Five diets were designed: T1 (Turmeric, 5%), T2 (Garlic, 5%), T3 (aloe vera, 5%), T4 (Mixed, 5%), and a control diet (T5). The fish were fed 30% dietary protein to apparent satiation four times per day. Two thousand individuals were stocked in each tank, with two replicates for each treatment, and an average body weight of 0.2 ± 0.04 g. The physicochemical parameters of tank water remained within the optimum range. The highest final body weight (42.22 ± 0.56), weight gain (42.01 ± 0.82), specific growth rate (7.57 ± 0.02), survival rate (100%) and overall health was observed in T4 with (Mixed, 5%), extract, which was significantly different from the other treatments (p < 0.05), although treatments T1, T2, and T3 also showed improvements compared to the control group, which displayed significant different. The lowest FCR was recorded in T4 (0.8 ± 0.02) which was significantly different compared to other treatment groups (p < 0.05).The T4 enhanced the viscerosomatic index (4.86 ± 0.21) hepatosomatic index (2.16 ± 0.01) and condition factor (0.98 ± 0.05) (p < 0.05). The blood parameters of Pangasius hypophthalmus across all mixed medicinal plant concentration showed significant differences (p < 0.05). The study concludes that medicinal plants are effective nutritional supplements for improving the development and health of P. hypophthalmus under hatchery conditions. They represent a valuable alternative to antibiotics and providing effective, safe, and eco-friendly solutions for sustainable aquaculture.

Indexed as

Animal FeedAquacultureDietary SupplementsFishesNutrientsPlant ExtractsAnimalsPlants, MedicinalNutrientsPlant ExtractsBiological performanceCost-benefit analysisNutritional strategiesPangasius hypophthalmus

Identifiers

PMID40593992
PMCPMC12219175

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.