Evidence map›Paper›PMID 36590136›Full record

ArticleVeterinary world2022

Application of multivariate discriminant analysis for differentiation between Saudi sheep (

Gamaleldin M Suliman, Raed Mahmoud Al-Atiyat, Khaled H Abu-Alruz, Amer M Mamkagh, Firas A Al-Zyoud, Abdullah N Al-Owaimer, Faisal A Alshamiry

Abstract read
In one paragraph

Article in Veterinary world, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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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

7 authors.

Gamaleldin M SulimanDepartment of Animal Production, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia.
Raed Mahmoud Al-AtiyatGenetics and Biotechnology, Department of Animal Science, Agriculture Faculty, Mutah University, Karak, Jordan.
Khaled H Abu-AlruzDepartment of Nutrition and Food Processing, Agriculture Faculty, Mutah University, Karak, 61710, Jordan.
Amer M MamkaghDepartment of Plant Production, Faculty of Agriculture, Mutah University, Karak, 61710, Jordan.
Firas A Al-ZyoudDepartment of Plant Protection and IPM, Faculty of Agriculture, Mutah University, Karak, 61710, Jordan.
Abdullah N Al-OwaimerDepartment of Animal Production, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia.
Faisal A AlshamiryDepartment of Animal Production, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, 11451 Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The multivariate discriminant (MVD) analysis was a successful statistical tool with a discriminatory capacity for tracing sheep breeds based on meat characteristics. Thus, this study aimed to identify three Saudi sheep breeds based on the physical and histochemical aspects of meat using MVD analysis. Materials and Methods: Eight male lambs from each breed, Najdi, Neami, and Harri, were selected randomly at 90 days of age and allocated into three groups for breeding in a completely randomized design. The feeding and rearing management were similar for an experimental period of 90 days. The experimental diet consisted of a concentrated mixture with identical amounts of calories and nitrogen. Fifty-one meat characteristics were measured in the preliminary MVD, representing hot and cold carcass weight, meat cuts and quality measures, body component weights, fat deposit weights, and histochemical characteristics. Results: Out of the total meat characteristics measured, only 19 characteristics had significant discriminant power. The most powerful characteristics were temperature, empty intestinal weight, pH Conclusion: This method allowed us to determine the breed of sheep carcasses and cuts by considering the physical characteristics of the meat. Therefore, butchers and consumers should use scientific techniques for assigning carcasses and meat to their sheep breed after slaughtering.

Indexed as

discriminanthistochemicalmultivariatesheep meattraceability

Identifiers

PMID36590136
PMCPMC9798066

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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.