Genetic parameters for ultrasound-evaluated carcass and body traits in Anglo-Nubian goats

  • Luiz A. S. Figueiredo-Filho Federal Institute of Education, Science, and Technology of Maranhão
  • José L. R. Sarmento Federal University of Piauí
  • José E. G. Campelo Federal University of Piauí
  • Natanael P. S. Santos Federal University of Piauí
  • Luciano S. Sena Federal University of Piauí
  • Tatiana S. Torres Federal University of Piauí
Keywords: Anglonubian, animal production, bayesian inference, carcass, (co)variance, genetic correlation, genetic parameters, Gibbs sampling, goats, heritability, meat quality, selection, selection index, ultrasonography


Background: Meat goat breeding programs should prioritize the identification and selection of genetically superior animals for traits related to meat quality and carcass yield in order to increase the value of the final product. Objective: To estimate (co)variance components and genetic parameters for ultrasound-measured carcass traits, body size and body weight in AngloNubian breed goats raised in the Mid-North region of Brazil. Methods: (Co)variance components and genetic parameters were estimated using the single and two-trait animal model analyses via Bayesian inference for loin eye dimensions (area, length, and depth), sternal fat thickness, rump height, chest circumference and depth, leg perimeter, and body weight. Results: Heritability estimates were higher when two-trait analyses were used. This finding implies that it is possible to recover part of the additive genetic variance included in the residual variance due to the correlation between traits. Genetic correlations between carcass and body size traits showed different magnitudes. On the other hand, genetic correlations between the traits related to muscularity showed high magnitudes. Conclusions: Body weight was not a good indicator of muscularity; therefore, it is not recommended as a criterion for indirect selection to improve carcass traits of Anglo-Nubian goats. Leg perimeter and chest circumference may be important to construct selection indexes in meat goat breeding programs.

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Author Biographies

Luiz A. S. Figueiredo-Filho, Federal Institute of Education, Science, and Technology of Maranhão
Federal Institute of Education, Science, and Technology of Maranhão, Caxias, MA, Brazil.

José L. R. Sarmento, Federal University of Piauí
Department of Zootechnics, Center for Agricultural Sciences, Federal University of Piauí, Teresina, PI, Brazil.

José E. G. Campelo, Federal University of Piauí
Departamento de Zootecnia, Centro de Ciências Agrárias, Universidade Federal do Piauí, Socopo, Teresina, PI, Brazil.

Natanael P. S. Santos, Federal University of Piauí
Federal University of Piauí, Bom Jesus, PI, Brazil.

Luciano S. Sena, Federal University of Piauí
Federal University of Piauí, Teresina, PI, Brazil.

Tatiana S. Torres, Federal University of Piauí
Federal University of Piauí, Teresina, PI, Brazil.


Albuquerque IA, Villarroel ABS, Pereira ES, Teixeira MC, Silva EMC, Pimentel PG, Oliveira SMP. In vivo and carcass characteristics of goats and sheep oi: sold for slaughter in Ceará State. Semina: Ciênc Agrár 2015; 36(5):3369–3382. DOI:

Cardoso FF. Manual de utilização do programa INTERGEN: versão 1.0 em estudos de genética quantitativa animal. Bagé: Embrapa Pecuária Sul, 2008.

Cartaxo FQ and Sousa WH. Correlations between traits obtained by real time ultrasound and those obtained in the carcass of feedlot finished lambs. Rev Bras Zootec 2008; 37(8):1490–1495.

Faria CU, Andrade WBF, Pereira CF, Silva RP, Lôbo RB. Bayesian analysis for carcass traits in Polled Nelore. Ciênc Rural 2015; 45(2):317–322. DOI:

Ferreira TA, Peireira IG, Gouveia AMG, Pires AV, Facó O, Farah MM, Pessoa MC, Guimarães MPSLPM. Genetic evaluation of Saanen goats born in Brazil from 1979 to 2009. Arq Bras Med Vet Zootec 2014; 66(4):1179–1188. DOI:

Fernandes AFA, Oliveira JA, Queiroz AS. Body condition score in ruminants. Ars Vet 2016; 32(1):55–66.

Figueiredo Filho LAS, Sarmento JLR, Campelo JEG, Santos NPS, Sousa Júnior A. Measures Carcass traits by ultrasound in goats. Rev Bras Saúde Prod Anim 2012; 13(3):804–814. DOI:

Furusho-Garcia IF, Perez JRO, Pereira IG, Costa TIR, Martins MO. Allometric study on carcass tissues from purebred Santa Inês lambs or crossbred with Texel, Ile de France and Bergamácia. Rev Bras Zootec 2009; 38(3):539–546. DOI:

Geweke J. Evaluating the accuracy of sampling- Based approaches to calculating posterior moments. Bayesian Stat 1992, Oxford: Oxford University Press, 4.

Gomes HFB, Menezes JJL, Gonçalves HC, Cañizares GIL, Medeiros BBL, Polizel Neto A, Louençon RV, Chávari ACT. Carcass traits of characteristics of kid goats from five breed groups raised in a feedlot system. Rev Bras Zootec 2011; 40(2):411–417. DOI:

Jucá AF, Faveri JC, Melo Filho GM, Ribeiro Filho AL, Azevedo HC, MunizEM, Pedrosa VB, PintoLF. Effects of birth type and family on the variation of carcass and meat traits in Santa Ines sheep. Trop Anim Health Prod 2016; 48(2):435–443. DOI:

McManus C, Paim TP, Louvandini H, Dallago BSL, Dias LT, Teixeira RA. Ultrassonography evaluation of sheep carcass quality of Santa Inês breed. Ciênc Anim Bras 2013;14(1):8–16. DOI:

Misztal J. Fortran Programs. Disponível em: bs3, 2012Polizel Neto A, Jorge AM, Moreira PS, Gomes HFB, Pinheiro RSB, Andrade EM. Correlations among ultrasound measurements and on carcass of the steers finished on pasture. Rev Bras Saúde Prod Anim 2009; 10(1):137–145.

Robertson A. The sampling variance of the genetic correlation coefficient. Biometrics 1959; 15(3):469–485.

Santos NPS, Sarmento JLR, Pimenta Filho EC, Campelo JEG, Figueiredo Filho LAS, Sousa Júnior SC. Environmental and genetic aspects of litter size in goats using linear and threshold Bayesian models. Arq Bras Med Vet Zootec 2013; 65 (3):885–893. DOI:

Sarmento JLR, Torres RA, Sousa WH, Pereira CS, Lopes OS, Breda FC. Estimation of genetic parameters for growth traits of Santa Inês sheep using single and multiple-trait models. Arq Bras Med Vet Zootec 2006; 58(4):581–589. DOI:

SAS. Statistical analysis systems user’s guide: Version 9.0. Cary, NC, USA: SAS Institute Inc. 2002.

Sena LS, Santos GV, Torres TS, Sousa Júnior A, Rego Neto AA, Sarmento JLR, Biagiotti D. Genetic parameters for carcass traits and body size of meat sheep. Semina: Ciênc Agrár 2016; 37(4):2477–2486.DOI:

Suguisawa L, Marques ACW, Bardi AE, Fausto D. Utilization of ultrasonography as a tool for standardization of commercial carcasses. Tec Ciênc Agropec 2009; 3(4):55–65.

Van Tassell CP and Van Vleck LD. Multiple-trait Gibbs sampler for animal models: flexible programs for Bayesian and likelihood-based covariance component inference. J Anim Sci 1996; 74(11):2586–2597.

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