Evidence map›Paper›PMID 42376107›Full record

ArticleOpen veterinary journal2026

Morphological and morphometric comparison and digital classification of Guaymi and Guabala cattle breeds using machine learning.

Axel Villalobos-Cortés, Ana Flores De León, Marcelino Jaén

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Open veterinary journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

3 authors.

Axel Villalobos-CortésConservation and Animal Improvement. LABMA, Panama City, Panama.
Ana Flores De LeónBachelor's Degree from the Veterinary Medicine, Faculty of Veterinary Medicine, University of Panama, Panama City, Panama.
Marcelino JaénTropical Veterinary Diseases, Animal Health Validity Laboratory, IDIAP, Institute of Agricultural Innovation of Panama, Panama City, Panama.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Guaymi and Guabala Creole cattle are unique genetic resources adapted to tropical systems in Panama. Aim: This study aimed to compare the morphometry and morphology using classical zoometric analysis and automated classification via the Mooebius web app and random forest models. Methods: Morphological and morphometric data from 225 adult cattle were analyzed using nested analysis of variance and chi-square tests. A supervised Random Forest (RF) classifier and web-based index calculator (Mooebius) were developed for aptitude prediction. Results: There were significant differences ( Conclusion: The integration of morphological and morphometric data with artificial intelligence techniques provides an effective decision support tool for the conservation and selection of native breeds in tropical conditions.

Indexed as

BreedingMachine LearningAnimalsCattleFemaleMalePanamaRandom ForestCreole cattleMachine learningMorphometryTropical livestockZoometric indices

Identifiers

PMID42376107
PMCPMC13313908

What OpenQuestion holds

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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.