Evidence map›Paper›PMID 41302086›Full record

ArticleLife (Basel, Switzerland)2025

The Role of Genetic and Environmental Factors in White Leg Markings: Prevalence and Heritability Analysis in Pura Raza Española Horses.

Ana Encina, María José Sánchez-Guerrero, Manuel Ligero, Arantxa Rodríguez-Sainz de Los Terreros, Mercedes Valera

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 authors.

Ana EncinaDepartamento de Agronomía, Escuela Técnica Superior de Ingeniaría Agronómica (ETSIA), Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0002-9348-7393
María José Sánchez-GuerreroDepartamento de Agronomía, Escuela Técnica Superior de Ingeniaría Agronómica (ETSIA), Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0003-4357-9908
Manuel LigeroDepartamento de Agronomía, Escuela Técnica Superior de Ingeniaría Agronómica (ETSIA), Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0009-0007-0010-452X
Arantxa Rodríguez-Sainz de Los TerrerosReal Asociación Nacional de Criadores de Caballos Españoles (ANCCE), 41014 Sevilla, Spain.
Mercedes ValeraDepartamento de Agronomía, Escuela Técnica Superior de Ingeniaría Agronómica (ETSIA), Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0003-1742-550X

Funding

This research has been partially financed by the VI PPIT-US. Resoluci\u00F3n definitiva de la Convocatoria 2020 de Contratos de Acceso al Sistema Español de Ciencia, Tecnología e Innovación para el Desarrollo del Programa Propio de I + D + i de la US. (II PRJ202304988
6 · The paper itself

Abstract

White leg markings in horses are phenotypic traits influenced by genetic and environmental factors. This study analyzed their prevalence, symmetry, and genetic parameters in 38,825 Pura Raza Española (PRE) horses registered in the official studbook. White markings were scored using a binary (affected/unaffected) and a four-level ordinal scale. Most horses (38,341 out of 38,825; 98.8%) had at least one limb without white markings. The prevalence of white markings was higher in the hindlegs (17.9% LH; 14.5% RH) than in the forelegs (5.3% LF; 4.6% RF). Markings were most frequent above the fetlock (≈64%), chestnut horses showed the highest prevalence, whereas black coats showed the lowest. Genetic analyses using Bayesian animal models revealed moderate-to-high heritabilities, ranging from 0.488 for Right hindlegs to 0.574 for Left hindlegs in the multinomial model, which outperformed the dichotomous model (h

Indexed as

coat colorequinegenetic modelsgenetic parametersinbreedingleg marking symmetrymaternal effect

Identifiers

PMID41302086
PMCPMC12653778

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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.