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Genetic association between feed efficiency, growth, scrotal circumference, and carcass traits in Guzerat cattle.

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  • معلومة اضافية
    • المصدر:
      Publisher: Springer Country of Publication: United States NLM ID: 1277355 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-7438 (Electronic) Linking ISSN: 00494747 NLM ISO Abbreviation: Trop Anim Health Prod Subsets: MEDLINE
    • بيانات النشر:
      Publication: 2005- : Heidelberg : Springer
      Original Publication: Edinburgh, Livingstone.
    • الموضوع:
    • نبذة مختصرة :
      The objective of this study was to estimate the genetic parameters for feed efficiency-related traits and their genetic correlations with growth, male fertility, and carcass traits using multi-trait analysis in Guzerat cattle. Further, it aimed to predict the direct and correlated responses for feed efficiency traits when selection was applied for growth, male fertility, and carcass traits. The evaluated traits were adjusted weight at 120 (W120), 210 (W210), 365 (W365), and 450 days of age (W450), adjusted scrotal circumference at 365 days of age (SC365) and at 450 days of age (SC450), scrotal circumference, ribeye area (REA), backfat thickness (BFT), rump fat thickness (RFT), residual feed intake (RFI), and dry matter intake (DMI). The genetic parameters were obtained by the restricted maximum likelihood method (REML), using an animal model in multi-trait analyses. The heritability estimates for W120, W210, W365, W450, SC365, and SC450 varied from low to high (0.17 to 0.39). The carcass traits, REA, BFT, and RFT, displayed low to moderate heritability estimates, 0.27, 0.10, and 0.31, respectively. The heritability estimates for RFI (0.15) and DMI (0.23) were low and moderate, respectively. The RFI showed low genetic correlations with growth traits, ranging from - 0.07 to 0.22, from 0.03 to 0.05 for scrotal circumference, and from - 0.35 to 0.16 for carcass, except for DMI, which ranged from 0.42 to 0.46. The RFI and DMI presented enough additive genetic variability to be used as selection criteria in Guzerat breed genetic improvement program. Additionally, the response to selection for RFI would be higher when selection is performed directly for this trait. The selection for residual feed intake would not promote unfavorable correlated responses for scrotal circumference, carcass (yield and finish), and growth traits. Therefore, the selection for more efficient animals would not compromise the productive, reproductive, and carcass performance, contributing to reduce the production costs, increasing the profitability and sustainability of beef cattle production in tropical areas.
      (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)
    • References:
      Arthur, P. F., Archer, J. A., Johnston, D. J., Herd, R. M., Richardson, E. C., Parnell, P. F. (2001). Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other postweaning traits in Angus cattle. Journal of Animal Science, 79(11), 2805-11. https://doi.org/10.2527/2001.79112805x. (PMID: 10.2527/2001.79112805x11768108)
      Basarab, J. A., Price, M. A., Aalhus, J. L., Okine, E. K., Snelling, W. M., Lyle, K. L. (2003). Residual feed intake and body composition in young growing cattle. Canadian Journal of Animal Science,83(2),189-204. https://doi.org/10.4141/A02-065. (PMID: 10.4141/A02-065)
      Basarab, J. A., Colazo, M. G., Ambrose, D. J., Novak, S., Mccartney, D., Baron, V. S. (2011). Residual feed intake adjusted for backfat thickness and feeding frequency is independent of fertility in beef heifers. Canadian Journal of Animal Science, (91)4, 573-584. https://doi.org/10.4141/cjas2011-010. (PMID: 10.4141/cjas2011-010)
      Berry, D. P., Crowley, J. J. (2012).Residual intake and body weight gain: A new measure of efficiency in growing cattle. Journal of Animal Science, 90(1),109–115. https://doi.org/10.2527/jas.2011-4245. (PMID: 10.2527/jas.2011-424521890504)
      Berry, D. P., Crowley, J. J. Genetics of feed efficiency in dairy and beef cattle.(2013). Journal of Animal Science, 91(4),1594–1613. https://doi.org/10.2527/Jas.2012-5862. (PMID: 10.2527/Jas.2012-586223345557)
      Boligon, A. A., Bignardi, A. B., Mercadante, M.E. Z., Baldi, F., Lôbo, R.B. (2013). Principal components and factor analytic models for birth to mature weights in Nellore cattle. Livestock Science, 152(2-3), 135–142. https://doi.org/10.1016/j.livsci.2013.01.005. (PMID: 10.1016/j.livsci.2013.01.005)
      Bouquet, A., Fouilloux, M. N., Renand, G., Phocas, F. (2010). Genetic parameters for growth, muscularity, feed efficiency and carcass traits of young beef bulls. Livestock Science, 129(1–3),38–48. https://doi.org/10.1016/j.livsci.2009.12.010. (PMID: 10.1016/j.livsci.2009.12.010)
      Bourdon, R. M. (1997). Understanding animal breeding. In Prentice Hall (2nd Ed.). Pearson Education Limited 2014. 532p. www.pearsoned.co.uk.
      Brunes, L. C., Baldi, F., Lopes, F. B., Goncalves Narciso, M., Lobo, R. B., Espigolan, R., Costa, M. F. O., Magnabosco, C. U. (2020). Genomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle. Animal, 15,2. https://doi.org/10.1016/j.animal.2020.100085. (PMID: 10.1016/j.animal.2020.100085)
      Brunes, L. C., Baldi, F., Lopes, F. B., Lobo, R. B., Espigolan, R., Costa, M. F. O., Magnabosco, C. U. (2021). Selection criteria for feed efficiency-related traits and their association with growth, reproductive and carcass traits in Nelore cattle. Animal Production Science, 61(16), 1633-1642. https://doi.org/10.1071/AN20487 . (PMID: 10.1071/AN20487)
      Brunes, L. C., Faria, C. U. , Magnabosco, C.U., Lobo, R. B., Peripolli, E., Baldi, F.(2022). Genomic prediction ability and genetic parameters for residual feed intake calculated using different approaches in Nellore beef cattle. Research Square Platform. https://doi.org/10.21203/rs.3.rs-1397133/v1.
      Buzanskas, M. E., Pires, P. S., Chud, T.C.S., Bernardes, P. A., Rola, L. D., Savegnago, R. P., Lôbo, R. B., Munari, D. P.(2017). Parameter estimates for reproductive and carcass traits in Nelore beef cattle.(2017) Theriogenology, 1(92), 204–209.
      Campos, R. V., Cobuci, J. A., Costa, C. N., Neto, J. B. Genetic parameters for type traits in Holstein cows in Brazil.(2012). Revista Brasileira de Zootecnia, 41(10), 2150–2161. https://doi.org/10.1590/S1516-35982012001000003. (PMID: 10.1590/S1516-35982012001000003)
      Cancino-Baier, D. E., Mamani, G. C., Santana, B. F., Mattos, E. C., Eler, J. P., Sainz, R. D., Tonetto, T., Tonetto, V., Tonetto, F., Quiñones, J. A., Sepúlveda, N., Ferraz, J. B. S. (2019). Research Article Estimation of variance components for carcass and production traits in Guzerat cattle. Genetics and Molecular Research, 18(3), GMR18413. https://doi.org/10.4238/gmr18413.
      Carrara, E. R., Peixoto, M. G. C. D., Veroneze, R., Silva, F. F. E., Ramos, P. V. B., Bruneli, F. A. T., Zadra, L. E. F., Ventura, H. T., Josahkian, L. A., Lopes, P. S. (2022). Genetic study of quantitative traits supports the use of Guzerá as dual-purpose cattle. Animal Breeding and Genetics, 35(7): 955-963. https://doi.org/10.5713/ab.21.0458. (PMID: 10.5713/ab.21.0458)
      Ceacero, T. M., Mercadante, M. E. Z., Cyrillo, J. N. Dos S. G., Canesin, R. C., Bonilha, S. F. M., De Albuquerque, L. G. (2016). Phenotypic and Genetic Correlations of Feed Efficiency Traits with Growth and Carcass Traits in Nellore Cattle Selected for Postweaning Weight.Plos One, 11(8), e0161366. https://doi.org/10.1371/journal.pone.0161366.
      Crowley, J. J., Mcgee, M., Kenny, D. A., Crews, D. H., Evans, R. D. And Berry, D. P. (2010).Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls. Journal of Animal Science, 88(3), 885–894. https://doi.org/10.2527/jas.2009-1852. (PMID: 10.2527/jas.2009-185219966161)
      Durunna, O. N., Plastow, G., Mujibi, F. D. N., Grant, J., Mah, J., Basarab, J. A., Okine, E. K. Moore, S. S., Wang, Z. (2011).Genetic parameters and genotype × environment interaction for feed efficiency traits in steers fed grower and finisher diets. Journal of Animal Science, 89(11), 3394–3400. https://doi.org/10.2527/jas.2010-3516. (PMID: 10.2527/jas.2010-351621622886)
      Falconer, D. S., Mackay, F. C. T. Introduction to quantitative genetics. 4° edição. Longman Group Ltd., Harlow, Essex, England, 1996.
      Faria, C. U., Pereira, J. T., Yokoo. M. J. I., Magnabosco, C. U., Albuquerque, L. G., Lôbo, R. B. (2011). Interação genótipo-ambiente na análise genética do peso ao desmame de bovinos Nelore sob enfoque bayesiano. Acta Scientiarum. Animal Sciences, 33(2), 213-218. https://doi.org/10.4025/actascianimsci.v33i28469. (PMID: 10.4025/actascianimsci.v33i28469)
      Ferreira, J. L., Bresolin, T., Lopes, F. B., Garcia, J. A. S., Nepomuceno, L. L., Schmidt, A. B., Lobo, R. B. (2017). Modelos De Regressão Aleatória Para Característica De Crescimento Em Bovinos Da Raça Guzerá. Ciência Animal Brasileira, 18(1), 1-12. https://doi.org/10.1590/1089-6891v18e-39566. (PMID: 10.1590/1089-6891v18e-39566)
      Ferreira Júnior, R. J, Bonilha, S. F. M, Monteiro, F. M, Cyrillo, J. N. S.G, Branco, R. H, Silva, J. A.I., Mercadant, M. E. Z. (2018). Evidence of negative relationship between female fertility and feed efficiency in Nellore cattle. Journal of Animal Science, 96(10), 4035-4044. https://doi.org/10.1093/jas/sky276. (PMID: 10.1093/jas/sky276299860416162624)
      Fitzsimons, C., Mcgee, M., Keogh, K., Waters, S. M., Kenny, D. A. Molecular Physiology of Feed Efficiency in Beef Cattle. In: Biology of Domestic Animals. Boca Raton, FL : CRC Press, 2017. | “A science publisher’s book.”: CRC Press, 2017. p. 122–165.
      Freetly, C. H., Kuehn, A. L., Thallman, M. R., Snelling, M. W. (2020). Heritability and genetic correlations of feed intake, body weight gain, residual gain, and residual feed intake of beef cattle as heifers and cows. Journal of Animal Science, (98)1,1-6. https://doi.org/10.1093/jas/skz394. (PMID: 10.1093/jas/skz394)
      Gordo, D. G. M., Espigolan, R ., Tonussi, R. L., Júnior, G. A. F., Bresolin, T., Braga Magalhães, A. F., Feitosa, F. L., Baldi, F ., Carvalheiro, R., Tonhati, H., Oliveira, H. N., Chardulo, L. A. L., Albuquerque, L G. (2016). Genetic parameter estimates for carcass traits and visual scores including or not genomic information. Journal of Animal Science,94(5),1821–1826. https://doi.org/10.2527/Jas.2015-0134. (PMID: 10.2527/Jas.2015-013427285679)
      Grion, A. L., Mercadante, M. E. Z., Cyrillo, J. N. S. Gb., Bonilha, S. F. M., Magnani, E., Branco, R. H. (2014). Selection for feed efficiency traits and correlated genetic responses in feed intake and weight gain of Nellore cattle. Journal of Animal Science, 92(3), 955–965. https://doi.org/10.2527/jas.2013-6682. (PMID: 10.2527/jas.2013-668224492579)
      Guo, G., Zhao, F., Wang, Y., Zhang, Y., Du, L., Su, G. (2014). Comparison of single-trait and multiple- trait genomic prediction models. BMC Genomic Data, 15(30), 1-7. https://doi.org/10.1186/1471-2156-15-30. (PMID: 10.1186/1471-2156-15-30)
      Hafla, A. N., Lancaster, P. A., Carstens, G. E., Forrest, D. W., Fox, J. T., Forbes, T. D. A., Holloway, J. W. (2012).Relationships between feed efficiency, scrotal circumference, and semen quality traits in yearling bulls. Journal of Animal Science, 90(11), 3937–3944. https://doi.org/10.2527/jas.2011-4029. (PMID: 10.2527/jas.2011-402922665673)
      Hill, W. G. (2013). Genetic Correlation. In Brenner’s Encyclopedia of Genetics (Vol. 3, pp. 237–239). Elsevier. https://doi.org/10.1016/B978-0-12-374984-0.00611-2.
      Junior, J. A., Souza, J. C., Cushman, R. A., Perazza, C. A., Meirelles, S. L., Gonçalves, T M. (2013). Alternative Models In Genetic Analyses Of Carcass Traits Measured By Ultrasonography in Guzerá cattle: A Bayesian Approach. Journal of Agricultural Science, 5(9),29. https://doi.org/10.5539/jas.v5n9p29. (PMID: 10.5539/jas.v5n9p29)
      Kealey, C. G., Macneil, M .D., Tess, M. W., Geary, T. W., R. A., Bellows, R. A. (2006). Genetic parameter estimates for scrotal circumference and semen characteristics of Line Hereford bulls. Journal of Animal Science, 84(2), 283–290. https://doi.org/10.2527/2006.842283x. (PMID: 10.2527/2006.842283x16424254)
      Kenny, D., Fitzsimons, C., Waters, S., & McGee, M. (2018). Invited review: Improving feed efficiency of beef cattle – the current state of the art and future challenges. Animal, 12(9), 1815-1826. doi: https://doi.org/10.1017/S1751731118000976. (PMID: 10.1017/S175173111800097629779496)
      Kluska, S., Baldi, F., Olivieri, B. F., Bonamy, M., Chiaia, H. L. J., Feitosa, F. L. B., Berton, M. P., Peripolli, E., Lemos, M. V. A., Tonussi R. L., Lôbo, R. B., Magnabosco, C. U., Di Croce, F., Osterstock, J., Pereira, A. S. C., Munari, D. P., Bezerra, L. A. F., Lopes F. B. (2018). Estimates of genetic parameters for growth, reproductive, and carcass traits in Nelore cattle using the single step genomic BLUP procedure. Livestock Science, 216,203–209. https://doi.org/10.1016/j.livsci.2018.08.015. (PMID: 10.1016/j.livsci.2018.08.015)
      Koch, R. M., Swiger, L. A., Doyle Chambers., Gregory K. E. (1963). Efficiency of Feed Use in Beef Cattle. Journal of Animal Science, 22(2), 486–49. (PMID: 10.2527/jas1963.222486x)
      Lancaster, P. A., Carstens, G. E., Ribeiro, F. R., Tedeschi, L. O., Crews, D. H. Jr. (2009). Characterization of feed efficiency traits and relationships with feeding behavior and ultrasound carcass traits in growing bulls. Journal of Animal Science, 87(4),1528-39. https://doi.org/10.2527/jas.2008-1352. (PMID: 10.2527/jas.2008-135218997083)
      Lopes, F. B., Ferreira, J. L., Lobo, R. B., Rosa, G. J. M. (2017). Bayesian analyses of genetic parameters for growth traits in Nellore cattle raised on pasture. Genetics and Molecular Research, 16(3), gmr16039606. https://doi.org/10.4238/gmr16039606. (PMID: 10.4238/gmr16039606)
      Lopes, F, B., Magnabosco, C. U., Goncalves Narciso, M., Sainz, R. D. (2016). Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle. Plos One, 11(1), e0147180. https://doi.org/10.1371/journal.pone.0147180.
      Mao, F., Chen, L., Vinsky, M., Okine, E., Wang, Z., Basarab, J., Li, C. (2013). Phenotypic and genetic relationships of feed efficiency with growth performance, ultrasound, and carcass merit traits in Angus and Charolais steers. Journal of Animal Science, 919(5), 2067–2076. https://doi.org/10.2527/jas.2012-5470. (PMID: 10.2527/jas.2012-5470)
      Mendes, E. D. M., Faria, C.U., Sainz, R.D., Silveira, A.C.L., Magnabosco, C.U., Eifert, E.C., Baldi, F., Ventura, H.T., Castro, L.M., Ribeiro, L.B., Cavalcanti, L.F.L., Josakian, L.A., Silva, L.O.C., Mercadante, M.E.Z., Ribas, M.N., Lobo, R.B., Arnandes, R.H.B., Gomes, R.C., Farjalla, Y.B.(2020). Procedimentos para mensuração de consumo individual de alimento em bovinos de corte. 2° ed. Riberião Preto, Brasil.: Associação Nacional de Criadores e Pesquisadores,.
      Meyer, K., Carrick, M. J., Donnelly, B. J. P. (1993). Genetic parameters for growth traits of Australian beef cattle from a multibreed selection experiment. Journal of Animal Science, 71(10), 2614–2622. https://doi.org/10.2527/1993.71102614x. (PMID: 10.2527/1993.71102614x8226360)
      Meyer, K., Houle, D. (2013). Sampling based approximation of confidence intervals for functions of genetic covariance matrices. Journal of Animal Breeding and Genetics, 20,523–526. http://livestocklibrary.com.au/handle/1234/34033.
      Misztal, I., Lawlor, T. J., Short, T. H. (1993). Implementation of Single- and Multiple-Trait Animal Models for Genetic Evaluation of Holstein Type Traits. Journal Dairy Science, 76(5),1421–32. https://doi.org/10.3168/jds.S0022-0302(93)77473-1. (PMID: 10.3168/jds.S0022-0302(93)77473-1)
      Misztal, I., Tsuruta, S., Lourenco, D. A. L., Masuda, Y., Aguilar, I., Legarra, A., & Vitezica, Z. 371 (2015, Jun 18). Manual for BLUPF90 family programs [Document]. Retrieved from 372 http://nce.ads.uga.edu/wiki/doku.php?id=documentation.
      Moraes, G. F., Abreu, L. R. A., Ferreira, I. C., Pereira, I. G. (2017). Genetic analysis of residual feed intake adjusted for fat and carcass and performance traits in a Nellore herd. Ciência Rural, 47(2), 1-6. https://doi.org/10.1590/0103-8478CR20151505. (PMID: 10.1590/0103-8478CR20151505)
      Moraes, G. F., Abreu, L. R. A., Toral, F. L.B., Ferreira, I. C., Ventura, H. T., Bergmann, J. A. G., Pereira, I. D. (2019). Selection for feed efficiency does not change the selection for growth and carcass traits in Nellore cattle. Journal of Animal Breeding and Genetics, 136(6), 464–473. https://doi.org/10.1111/jbg.12423. (PMID: 10.1111/jbg.1242331328836)
      Mota, L. F. M., Costa, L.S., Abreu, L.R.A., Bonafé, C.M., Ventura, H.T., Martins, P.G.M.A. (2019). Genetic evaluation for scrotal circumference in Guzerat cattle through different models. Livestock Science, 222, 1–6. https://doi.org/10.1016/j.livsci.2019.02.004. (PMID: 10.1016/j.livsci.2019.02.004)
      NABR. Guzerat Brazil Program. In: Summary of Nellore, Guzerat, Brahman and Tabapua Bulls. National Association of Breeders and Researchers. 2022. https://www.ancp.org.br/sumariosancp . Accessed 25 Dec 2022.
      Nkrumah, J. D., Basarab, J. A., Wang, Z. Li C., Price, M. A., Okine, E. K., Crews, D. H. Jr., Moore, S. S. (2007). Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle. Journal of Animal Science, 85(10), 2711-20. https://doi.org/10.2527/jas.2006-767.
      Pedrosa, V. B., Eler, J.P., Ferraz, J.B.S., Pinto, L.F.B. (2014). Utilização de modelos unicaracterística e multicaracterística na estimação de parâmetros genéticos na raça Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 66(6), 1802–1812. https://doi.org/10.1590/1678-6170. (PMID: 10.1590/1678-6170)
      Peixoto, M.G.C.D., Poggian, C.F., Verneque, R.S., Egito, A.A., Carvalho, M.R.S., Penna, V.M., Bergmann , J.A.G., Viccini, L.F., Machado, M.A.(2010) Genetic basis and inbreeding in the Brazilian Guzerat (Bos indicus) subpopulation selected for milk production. Livestock Science, 131, 2-3 https://doi.org/10.1016/j.livsci.2010.03.015. (PMID: 10.1016/j.livsci.2010.03.015)
      Peixoto, M.G.C.D., Carvalho, M.R.S., Egito, A.A., Steinberg, R.S., Bruneli, F.Â.T., Machado, M.A., Santos, F.C., Rosse, I.C., Fonseca, P.A.S. (2021). Genetic Diversity and Population Genetic Structure of a Guzerá (Bos indicus) Meta-Population. Animals, 11, 1125. https://doi.org/10.3390/ani11041125. (PMID: 10.3390/ani11041125339199928071051)
      Peixoto, M.G.C.D., Poggian, C.F., Verneque, R.S., Egito, A.A., Carvalho, M.R.S., Penna, V.M., Bergmann, J.A.G., Viccini, L.F., Machado, M.A. Genetic basis and inbreeding in the Brazilian Guzerat (Bos indicus) subpopulation selected for milk production. Livestock Science,131 (2–3), 1871 - 1413. https://doi.org/10.1016/j.livsci.2010.03.015 .
      Pollak, E.J., Van Der Werf, J., Quaas, R.L. (1984). Selection Bias and Multiple Trait Evaluation. Journal of Dairy Science, 67(7), 1590-1595 https://doi.org/10.3168/jds.S0022-0302(84)81481-2 . (PMID: 10.3168/jds.S0022-0302(84)81481-2)
      Polizel, G. H. G., Grigoletto, L., Carvalho, M., Rossi Junior, P., Ferraz, J. B. S., Santana, M. H. A. (2018). Genetic correlations and heritability estimates for dry matter intake weight gain and feed efficiency of Nellore cattle in feedlot Livestock Science 214209-210. https://doi.org/10.1016/j.livsci.2018.06.013.
      R Core Team (2019). R:A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Acesso em: 20 jan, 2021, Disponivel em: http://www.R ‑ project.org.
      Rolfe, K. M., Snelling, W. M., Nielsen, M. K., Freetly, H. C., Ferrell, C. L. And Jenkins, T. G. (2011). Genetic and phenotypic parameter estimates for feed intake and other traits in growing beef cattle, and opportunities for selection.Journal of Animal Science, 89(11), 3452–3459. https://doi.org/10.2527/jas.2011-3961. (PMID: 10.2527/jas.2011-396121622877)
      Santana, M. H. A., Oliveira, G. A., Gomes, R. C., Silva, S. L., Leme, P. R., Stella, T. R., Mattos, E. C., Rossi, P., Baldi, F. S., Eler, J. P., Ferraz, J. B. S. (2014). Genetic parameter estimates for feed efficiency and dry matter intake and their association with growth and carcass traits in Nellore cattle. Livestock Science, 167,80–85. https://doi.org/10.1016/j.livsci.2014.06.002. (PMID: 10.1016/j.livsci.2014.06.002)
      Schenkel, F. S., Miller, S. P., Wilton, J. W. (2004). Genetic parameters and breed differences for feed efficiency, growth, and body composition traits of young beef bulls. Canadian Journal of Animal Science, 84(2), 177-185. https://doi.org/10.4141/A03-085. (PMID: 10.4141/A03-085)
      Soller, M., Beckmann, J. S. (1983). Genetic polymorphism in varietal identification and genetic improvement. Theoretical and Applied Genetics, 67(1)25–33. https://doi.org/10.1007/BF00303917. (PMID: 10.1007/BF0030391724258477)
      Srivastava, S., Lopez, B.I., Heras-Saldana, S.D.L., Park, J.-E., Shin, D.H., Chai, H.-H., Park, W., Lee, S.-H., Lim, D. (2019). Estimation of Genetic Parameters by Single-Trait and Multi-Trait Models for Carcass Traits in Hanwoo Cattle. Animals, 9(12),1061. https://doi.org/10.3390/ani9121061. (PMID: 10.3390/ani9121061318102126941083)
      Torres-Vázquez, J. A., der Werf, J. H. J. V., Clark, S. A. (2018). Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle. Journal of Animal Science, 96(11):4521–4531. https://doi.org/10.1093/jas/sky325.
      Tramonte, N. C., Grupioni, N.V., Stafuzza, N.B., Guidolin, D., Savegnago, R., Bezerra, L.A., Lôbo, R. B., Munari, D.(2019) Genetic parameters, genetic trends, and principal component analysis for productive and reproductive traits of Guzera beef cattle. Revista Brasileira de Zootecnia, (48)1–11. https://doi.org/10.1590/rbz4820180034. (PMID: 10.1590/rbz4820180034)
      Yokoo, M. J. I. Bayesian analysis of ribeye area and ultrasound and their associations with other traits of economic importance in the Nellore breed. Thesis (Doutorado) – Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista. São Paulo, p. 84. 2009.
    • Contributed Indexing:
      Keywords: Genetic parameters; Residual feed intake; Restricted maximum likelihood; Zebu cattle
    • الموضوع:
      Date Created: 20230325 Date Completed: 20230329 Latest Revision: 20240229
    • الموضوع:
      20240301
    • الرقم المعرف:
      10.1007/s11250-023-03552-0
    • الرقم المعرف:
      36964827