Evidence map›Paper›PMID 42254903›Full record

ArticleFrontiers in veterinary science2026

Date palm by-products, fish waste, and

Said Al-Khalasi, Abdullah Al-Ghafri, Fahad Al-Yahyaey, Kaadhia Al-Kharousi, Suad Al-Saqri, Zainab Al-Ismaili, Hala Al-Sheibani

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Said Al-KhalasiUNESCO Chair on Aflaj Studies and Socio-hydrology, University of Nizwa, Nizwa, Oman.
Abdullah Al-GhafriUNESCO Chair on Aflaj Studies and Socio-hydrology, University of Nizwa, Nizwa, Oman.
Fahad Al-YahyaeyAnimal Production Research Center, Ministry of Agricultural, Fisheries Wealth and Water Resources, Barka, Oman.
Kaadhia Al-KharousiAnimal and Veterinary Sciences, Sultan Qaboos University, Muscat, Oman.
Suad Al-SaqriDepartment of Biological Sciences and Chemistry, University of Nizwa, Nizwa, Oman.
Zainab Al-IsmailiDepartment of Biological Sciences and Chemistry, University of Nizwa, Nizwa, Oman.
Hala Al-SheibaniDepartment of Biological Sciences and Chemistry, University of Nizwa, Nizwa, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The cost of animal feed is a serious limiting factor in livestock production in arid and semi-arid regions. This study investigated whether a locally formulated total mixed ration (TMR) based on date palm by-products, fish processing waste, and Methods: Twenty intact male Omani lambs (initial body weight 20.5 ± 2.3 kg, approximately 5 months old) were randomly assigned to two dietary treatments ( Results: Commercial TMR lambs gained significantly more total weight (11.30 vs. 6.37 kg; Discussion/conclusion: Despite lower fiber digestibility and metabolizable energy availability than commercial TMR, which translated to reduced growth performance, the formulated TMR offered substantial economic benefits with a 68.5% reduction in daily feeding cost and a 41.3% lower feed cost per kg live weight gain compared to commercial TMR. Meat quality, hot carcass weight, cold carcass weight, and hematological profiles were unaffected, and internal fat deposition was reduced by 35.4%. The formulated TMR represents a viable and cost-effective option for sheep production in arid regions where date palm by-products, fish waste, and

Indexed as

alternative feedstuffscarcass characteristicsdate palm by-productseconomic analysisfeed digestibilitylamb fatteningMoringa oleiferatotal mixed ration

Identifiers

PMID42254903
PMCPMC13235437

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.