Evidence map›Paper›PMID 32054165›Full record

ArticleAnimal bioscience2021

Genetic parameters for worm resistance in Santa Inês sheep using the Bayesian animal model.

Francelino Neiva Rodrigues, José Lindenberg Rocha Sarmento, Tânia Maria Leal, Adriana Mello de Araújo, Luiz Antonio Silva Figueiredo Filho

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Francelino Neiva RodriguesFederal Institute for Education Science and Technology of Piauí (IFPI), 64.750-000, Paulistana, PI, Brazil.
José Lindenberg Rocha SarmentoDepartment of Animal Science, Federal University of Piauí (UFPI), 64.049-550, Teresina, PI, Brazil.
Tânia Maria LealBrazilian Agricultural Research Corporation (Embrapa Meio Norte), 64.006-220, Teresina, PI, Brazil.
Adriana Mello de AraújoBrazilian Agricultural Research Corporation (Embrapa Meio Norte), 64.006-220, Teresina, PI, Brazil.
Luiz Antonio Silva Figueiredo FilhoFederal Institute for Education, Science and Technology of Maranhão (IFMA), 65.609-899, Caxias, MA, Brazil.
Brazilian Agricultural Research Corporation · BRInstituto Federal do Maranhão · BRInstituto Federal do Piauí · BRUniversidade Federal do Piauí · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to estimate the genetic parameters for worm resistance (WR) and associated characteristics, using the linear-threshold animal model via Bayesian inference in single- and multiple-trait analyses.

methodsData were collected from a herd of Santa Inês breed sheep. All information was collected with animals submitted to natural contamination conditions. All data (number of eggs per gram of feces [FEC], Famacha score [FS], body condition score [BCS], and hematocrit [HCT]) were collected on the same day. The animals were weighed individually on the day after collection (after 12-h fasting). The WR trait was defined by the multivariate cluster analysis, using the FEC, HCT, BCS, and FS of material collected from naturally infected sheep of the Santa Inês breed. The variance components and genetic parameters for the WR, FEC, HCT, BCS, and FS traits were estimated using the Bayesian inference under the linear and threshold animal model.

resultsA low magnitude was obtained for repeatability of worm-related traits. The mean values estimated for heritability were of low-to-high (0.05 to 0.88) magnitude. The FEC, HCT, BCS, FS, and body weight traits showed higher heritability (although low magnitude) in the multiple-trait model due to increased information about traits. All WR characters showed a significant genetic correlation, and heritability estimates ranged from low (0.44; single-trait model) to high (0.88; multiple-trait model).

conclusionTherefore, we suggest that FS be included as a criterion of ovine genetic selection for endoparasite resistance using the trait defined by multivariate cluster analysis, as it will provide greater genetic gains when compared to any single trait. In addition, its measurement is easy and inexpensive, exhibiting greater heritability and repeatability and a high genetic correlation with the trait of resistance to worms.

Indexed as

FamachaHaemonchus contortusHeritabilityMultivariate Analysis

Identifiers

PMID32054165
PMCPMC7876714
OpenAlexW3000161868

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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.