Origins and genetic diversity of British cattle breeds in Brazil assessed by pedigree analyses1

Piccoli, M. L.; Neto, José Braccini; Brito, F. V.; Campos, Leonardo Talavera; Bértoli, Cláudia Damo; Campos, Gabriel Soares; Cobuci, Jaime Araújo; McManus, Concepta; Barcellos, Júlio Otávio Jardim; Gama, L. T.

doi:10.2527/jas.2013-7283

Cited by 15 publications

(11 citation statements)

References 31 publications

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“…The results obtained for the CGE were similar for all groups formed considering all pedigree information, except in P1, which had lower mean CGE and average number of known ancestors per animal: 2.65 and 13.4, respectively (Table 2). This shows an increase in pedigree knowledge over the years and in the Brahman population as well, which agrees with Piccoli et al (2014), who studied British breeds raised in Brazil. A small CGE was also reported by Faria et al (2009) for Nellore, Gir and Guzera, which indicates that concern with genealogical records seems to be recent in Brazil.…”

Section: Resultssupporting

confidence: 90%

Genetic diversity of Brazilian Brahman cattle by pedigree analysis

Cavani

Silva

Carreño

et al. 2018

Pesq. agropec. bras.

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The objective of this work was to evaluate the genetic diversity of Brahman cattle in Brazil with pedigree analysis. Genealogical records of a subpopulation were used considering all pedigree information (Pt) and the pedigree information divided into two periods (P1, from 1994 to 2004; and P2, from 2005 to 2012) or according to the raising system (Ppt, animals on pasture; or Pst, on stable). Estimates were obtained for average inbreeding coefficients, generation intervals (GI), number of equivalent known generation (CGE), number of founders (Nf), effective number of founders (fe), effective number of ancestors (fa), and founder genome equivalents (fg). The average inbreeding coefficients were 11.97, 7.79, 11.95, 11.74, and 11.31% for Pt, P1, P2, Ppt, and Pst, respectively. Average GI was 4.4 years, whereas CGE was 3.18. The fe values were similar to those of fa, which were greater than those of fg. The fe/fa and fg/fe ratios were close to 1, which indicates no genetic bottleneck and small losses by genetic drift. The genetic diversity in the Brazilian population of Brahman breed is not significantly reduced.

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Section: Resultssupporting

confidence: 90%

Genetic diversity of Brazilian Brahman cattle by pedigree analysis

Cavani

Silva

Carreño

et al. 2018

Pesq. agropec. bras.

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“…Some reported estimates of N e for Holstein Friesian are 39 [12], 49 [13], 64 [14] and 90 [14]. For beef cattle some estimates of N e are 234, 128, 185 and 303 for Angus, Devon, Hereford and Shorthorn, respectively [15], 207 and 285 for Angus and Charolais, respectively [16], and, 445 for American Red Angus [17]. …”

Section: Introductionmentioning

confidence: 99%

Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes

et al. 2017

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BackgroundGenomic selection (GS) has played an important role in cattle breeding programs. However, genotyping prices are still a challenge for implementation of GS in beef cattle and there is still a lack of information about the use of low-density Single Nucleotide Polymorphisms (SNP) chip panels for genomic predictions in breeds such as Brazilian Braford and Hereford. Therefore, this study investigated the effect of using imputed genotypes in the accuracy of genomic predictions for twenty economically important traits in Brazilian Braford and Hereford beef cattle. Various scenarios composed by different percentages of animals with imputed genotypes and different sizes of the training population were compared. De-regressed EBVs (estimated breeding values) were used as pseudo-phenotypes in a Genomic Best Linear Unbiased Prediction (GBLUP) model using two different mimicked panels derived from the 50 K (8 K and 15 K SNP panels), which were subsequently imputed to the 50 K panel. In addition, genomic prediction accuracies generated from a 777 K SNP (imputed from the 50 K SNP) were presented as another alternate scenario.ResultsThe accuracy of genomic breeding values averaged over the twenty traits ranged from 0.38 to 0.40 across the different scenarios. The average losses in expected genomic estimated breeding values (GEBV) accuracy (accuracy obtained from the inverse of the mixed model equations) relative to the true 50 K genotypes ranged from −0.0007 to −0.0012 and from −0.0002 to −0.0005 when using the 50 K imputed from the 8 K or 15 K, respectively. When using the imputed 777 K panel the average losses in expected GEBV accuracy was −0.0021. The average gain in expected EBVs accuracy by including genomic information when compared to simple BLUP was between 0.02 and 0.03 across scenarios and traits.ConclusionsThe percentage of animals with imputed genotypes in the training population did not significantly influence the validation accuracy. However, the size of the training population played a major role in the accuracies of genomic predictions in this population. The losses in the expected accuracies of GEBV due to imputation of genotypes were lower when using the 50 K SNP chip panel imputed from the 15 K compared to the one imputed from the 8 K SNP chip panel.Electronic supplementary materialThe online version of this article (doi:10.1186/s12863-017-0475-9) contains supplementary material, which is available to authorized users.

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“…The reduction of genetic variability in beef cattle has been researched extensively (e.g. Cleveland et al, 2005;Santana et al, 2010;Piccoli et al, 2014). Further, there have been numerous genetic analyses based on pedigree information in livestock species including dairy cattle (Maiwashe et al, 2006;Mc Parland et al, 2007), beef cattle (Gutiérrez et al, 2003;Bouquet et al, 2011;Steyn et al, 2012aSteyn et al, , 2012b, horses (Moureaux et al, 1996;Vicente, Carolino and Gama, 2012) and sheep (Huby et al, 2003;Maiwashe and Blackburn, 2004).…”

Section: Introductionmentioning

confidence: 99%

Pedigree analysis of the Afrikaner cattle breed

Pienaar

Neser

Grobler

et al. 2015

Anim. Genet. Resour.

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SummaryThe reduction of genetic variability in beef cattle has been extensively researched on a global scale. However, the genetic variability and inbreeding of indigenous cattle breeds of Southern Africa, referred to as Sanga cattle, has been less well characterized. Breeds of Sanga cattle include Afrikaner, Drakensberger and Nguni breeds. In recent years, the number of Afrikaner cattle and herds has decreased. Our objective was to determine the mean level of inbreeding (F), effective population size (Ne) and generation intervals of Afrikaner cattle using their recorded pedigree. A total of 244 718 records extending from 1940 until 2011 were analysed. The average inbreeding coefficient was 1.83 percent and the effective population size was 167.54. The average generation interval was calculated as 6.6 ± 3.9 years. Pedigree analysis on the Afrikaner cattle population yielded levels of inbreeding that appear to be both acceptable and manageable. By implication, the largeNeresults in a low rate of change inF. Current results study can be utilized by farmers and the breeders’ society to conserve the Afrikaner and utilize the breed to its full potential in the era of climate change.

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Origins and genetic diversity of British cattle breeds in Brazil assessed by pedigree analyses1

Cited by 15 publications

References 31 publications

Genetic diversity of Brazilian Brahman cattle by pedigree analysis

Genetic diversity of Brazilian Brahman cattle by pedigree analysis

Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes

Pedigree analysis of the Afrikaner cattle breed

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