Evidence map›Paper›PMID 39170637›Full record

ArticleFrontiers in veterinary science2024

Statistical approaches for assessing meat quality and heifer rumen histology based on dietary forage.

Alberto Benito-Díaz, Ainhoa Sarmiento-García, Juan José García-García, Ceferina Vieira, Esperanza Domínguez, Raúl Bodas Rodríguez, Luis Gómez-Gordo, Purificación Vicente-Galindo

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Article in Frontiers in veterinary science, 2024. 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
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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

8 authors.

Alberto Benito-DíazLínea de Investigación en Rumiantes, Instituto Tecnológico Agrario de Castilla y León, Valladolid, Spain.
Ainhoa Sarmiento-GarcíaÁrea de Producción Animal, Departamento de Construcción y Agronomía, Facultad de Agricultura y Ciencias Ambientales, Universidad de Salamanca, Salamanca, Spain.
Juan José García-GarcíaLínea de Investigación en Rumiantes, Instituto Tecnológico Agrario de Castilla y León, Valladolid, Spain.
Ceferina VieiraEstación Tecnológica de la Carne, Instituto Tecnológico Agrario de Castilla y León (ITACyL), Salamanca, Spain.
Esperanza DomínguezLínea de Investigación en Rumiantes, Instituto Tecnológico Agrario de Castilla y León, Valladolid, Spain.
Raúl Bodas RodríguezLínea de Investigación en Rumiantes, Instituto Tecnológico Agrario de Castilla y León, Valladolid, Spain.
Luis Gómez-GordoDepartamento de Anatomía y Anatomía Patológica Comparadas, Facultad de Veterinaria, Universidad de Extremadura, Cáceres, Spain.
Purificación Vicente-GalindoDepartamento de Estadística, Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Feeding local forages to ruminants is a promising strategy for enhancing metabolic processes, promoting sustainable farming, and improving product quality. However, studies comparing the effects of different forages on rumen histology and meat attributes of heifers are limited and variable. Material and methods: This study evaluated the benefits of incorporating local forages into heifer diets by comparing barley straw (BS) and oat hay (OH) on heifer attributes focusing on meat quality (MQ) and rumen status (RS). Sixteen crossbred (Charolais x Limousin) female heifers (7 months of age, 263 ± 10.50 kg) were randomly assigned to two dietary treatments (BS or OH) over 120 days. Results and discussion: Heifers fed OH showed enhanced RS (

Indexed as

biplotforage dietheifermeat qualityprincipal component analysisruminal histology

Identifiers

PMID39170637
PMCPMC11337225

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.