Evidence map›Paper›PMID 41065063›Full record

ArticleVeterinary medicine and science2025

Individual and Combined Effects of Black Cumin Seeds and Turmeric Powder on Performance and Egg Quality Traits in Laying Hens.

Shanaz Alam Sunny, Md Mufazzal Hossain, Mofassara Akter, Md Imran Hossain, Md Ratan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary medicine and science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Shanaz Alam SunnyDepartment of Animal Nutrition, Genetics and Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0007-5065-1564
Md Mufazzal HossainDepartment of Animal Nutrition, Genetics and Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, Bangladesh.
Mofassara AkterDepartment of Animal Nutrition, Genetics and Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, Bangladesh.
Md Imran HossainDepartment of Animal Nutrition, Genetics and Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0008-1010-8273
Md RatanDepartment of Animal Nutrition, Genetics and Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, Bangladesh.

Funding

Sher-e-Bangla Agricultural University through Sher-e-Bangla Agricultural University Research System (SAURES)
6 · The paper itself

Abstract

backgroundRising feed costs and concerns over synthetic additives have increased interest in natural alternatives to improve poultry productivity.

objectivesThis study investigated the individual and synergistic effects of dietary black cumin seed and turmeric powder supplementation in laying hens.

methodsFour hundred eighty 19-week-old Isa Brown pullets were randomly allocated, in a completely randomised design, to four treatment groups with four replications of 30 birds each and raised from 19 to 30 weeks of age. The experimental diets were formulated as follows: T

resultsSupplementation with black cumin seed (T

conclusionBlack cumin seed supplementation (1%) is effective for improving overall egg production and quality, while turmeric powder (1%) is particularly beneficial for yolk pigmentation. Combined supplementation may not be advantageous. These findings highlight the potential of black cumin seed and turmeric powder as natural feed additives to enhance laying performance and egg quality in layer diets.

Indexed as

ChickensCuminumCurcumaEggsNigella sativaOvumAnimal FeedAnimalsDietDietary SupplementsFemalePowdersRandom AllocationSeedsPowdersblack cumin seeddiethenpulletssupplementationturmeric powder

Identifiers

PMID41065063
PMCPMC12509043

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.