Evidence map›Paper›PMID 36520017›Full record

ArticleAnimal biotechnology2023

Effect of varying dietary Azolla levels on growth, carcass characteristics, blood biochemical parameters and digestive enzymes of growing Egyptian geese.

Mai A E Ismail, Adel I Attia, Laila A Mohamed, Mahmoud Alagawany

Abstract read
In one paragraph

Article in Animal biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Mai A E IsmailDepartment of Poultry, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Adel I AttiaDepartment of Poultry, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Laila A MohamedDepartment of Poultry, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Mahmoud AlagawanyDepartment of Poultry, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.ORCID 0000-0002-8020-0971
Zagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was performed to determine the influence of dietary levels of Azolla on growth performance, blood parameters and digestive enzymes of growing geese. At 4 weeks old, 120 Egyptian goslings were randomly distributed to 4 groups, 30 to each group. Geese were fed four levels of Azolla (0, 4, 8 and 16%) during the experimental period (4-12 weeks of age). No significant differences were noticed among the experimental groups on growth parameters except body weight gain (BWG) during 4-8 wk of age and feed intake (FI) at 8-12 wk of age. Plasma total protein (TP), globulin, total cholesterol (TC) and low density lipoprotein (LDL) levels were significantly increased by 8% Azolla level. However, urea level was significantly decreased in geese fed on 8% and 16% Azolla levels compared to 4% level and control group. Super oxide dismutase (SOD), reduced glutathione (GSH), catalase (CAT), immunoglobulin (IgG), and lysozyme were significantly reduced by all dietary Azolla levels supplementation. Digestive enzymes were statistically affected by Azolla levels. It can be concluded that use of Azolla in Egyptian geese diets at 8 and 16% achieved positive effects on growth performance and most of blood biochemical parameters during the fattening period.

Indexed as

Animal FeedGeeseAnimalsDietDietary SupplementsDucksEgyptWeight GainAzollabloodGeeseimmunologicalperformance

Identifiers

PMID36520017
PMCPMC13353326
OpenAlexW4311577574

What OpenQuestion holds

Textmetadata
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.