Evidence map›Paper›PMID 28182737›Full record

ArticlePloS one2017

Study on the introgression of beef breeds in Canchim cattle using single nucleotide polymorphism markers.

Marcos Eli Buzanskas, Ricardo Vieira Ventura, Tatiane Cristina Seleguim Chud, Priscila Arrigucci Bernardes, Daniel Jordan de Abreu Santos, Luciana Correia de Almeida Regitano, Maurício Mello de Alencar, Maurício de Alvarenga Mudadu, Ricardo Zanella, Marcos Vinícius Gualberto Barbosa da Silva and 3 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  8. Effects of polymorphisms inArchives animal breeding · 2018
    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

13 authors.

Marcos Eli BuzanskasDepartamento de Ciências Exatas, Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.
Ricardo Vieira VenturaBeef Improvement Opportunities (BIO), Guelph, Ontario, Canada.
Tatiane Cristina Seleguim ChudDepartamento de Ciências Exatas, Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.
Priscila Arrigucci BernardesDepartamento de Ciências Exatas, Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.
Daniel Jordan de Abreu SantosDepartamento de Zootecnia, Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.
Luciana Correia de Almeida RegitanoEmbrapa Southeast Livestock, São Carlos, São Paulo, Brazil.
Maurício Mello de AlencarEmbrapa Southeast Livestock, São Carlos, São Paulo, Brazil.
Maurício de Alvarenga MudaduEmbrapa Agricultural Informatics, Campinas, São Paulo, Brazil.
Ricardo ZanellaFaculdade de Agronomia e Medicina Veterinária - Universidade de Passo Fundo, Passo Fundo, Rio Grande do Sul, Brazil.
Marcos Vinícius Gualberto Barbosa da SilvaEmbrapa Dairy Cattle, Juiz de Fora, Minas Gerais, Brazil.
Changxi LiDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Flavio Schramm SchenkelDepartment of Animal and Poultry Science, University of Guelph, Centre for Genetic Improvement of Livestock (CGIL), Guelph, Ontario, Canada.
Danísio Prado MunariDepartamento de Ciências Exatas, Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the level of introgression of breeds in the Canchim (CA: 62.5% Charolais-37.5% Zebu) and MA genetic group (MA: 65.6% Charolais-34.4% Zebu) cattle using genomic information on Charolais (CH), Nelore (NE), and Indubrasil (IB) breeds. The number of animals used was 395 (CA and MA), 763 (NE), 338 (CH), and 37 (IB). The Bovine50SNP BeadChip from Illumina panel was used to estimate the levels of introgression of breeds considering the Maximum likelihood, Bayesian, and Single Regression method. After genotype quality control, 32,308 SNPs were considered in the analysis. Furthermore, three thresholds to prune out SNPs in linkage disequilibrium higher than 0.10, 0.05, and 0.01 were considered, resulting in 15,286, 7,652, and 1,582 SNPs, respectively. For k = 2, the proportion of taurine and indicine varied from the expected proportion based on pedigree for all methods studied. For k = 3, the Regression method was able to differentiate the animals in three main clusters assigned to each purebred breed, showing more reasonable according to its biological viewpoint. Analyzing the data considering k = 2 seems to be more appropriate for Canchim-MA animals due to its biological interpretation. The usage of 32,308 SNPs in the analyses resulted in similar findings between the estimated and expected breed proportions. Using the Regression approach, a contribution of Indubrasil was observed in Canchim-MA when k = 3 was considered. Genetic parameter estimation could account for this breed composition information as a source of variation in order to improve the accuracy of genetic models. Our findings may help assemble appropriate reference populations for genomic prediction for Canchim-MA in order to improve prediction accuracy. Using the information on the level of introgression in each individual could also be useful in breeding or crossing design to improve individual heterosis in crossbred cattle.

Indexed as

BreedingGenetic Association StudiesPolymorphism, Single NucleotideAnimalsBody CompositionCattleFemaleHybridization, GeneticHybrid VigorLinkage DisequilibriumMaleQuantitative Trait, HeritableRed Meat

Identifiers

PMID28182737
PMCPMC5300224

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.