Selection criteria for frame score and its association with growth-, reproductive-, feed efficiency- and carcass-related traits in Nellore cattle
M. P. Negreiros
A * , E. Peripolli B , R. Espigolan A , M. Londoño-Gil B , J. D. Rodriguez B , L. Brunes C , C. U. Magnabosco D , N. C. Guimarães C , R. D. Sainz C E , A. S. C. Pereira A , R. B. Lobo F and F. Baldi B
+ Author Affiliations
- Author Affiliations
A Department of Animal Science, University of São Paulo (USP), Pirassununga, SP 13635-900, Brazil.
B Department of Animal Science, Sao Paulo State University – Júlio de Mesquita Filho (UNESP), Jaboticabal, SP 14884-900, Brazil.
C Department of Animal Science, Federal University of Goias (UFG), Goiânia, GO 75345-000, Brazil.
D Embrapa Cerrados, BR-020, 18, Sobradinho, Brasilia, DF 70770-90, Brazil.
E Department of Animal Science, University of California, Davis, CA 95616, USA.
F National Association of Breeders and Researchers (ANCP), Ribeirão Preto, SP 14020-230, Brazil.
Animal Production Science 62(16) 1551-1562 https://doi.org/10.1071/AN22054
Submitted: 19 June 2021 Accepted: 24 May 2022 Published: 24 June 2022
© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing
Abstract
Context: A frame score prediction equation developed specifically for Nellore cattle could be an auxiliary tool to improve mating decisions on the basis of feed resources and production-system objectives.
Aims: Estimate genetic parameters for frame by using a prediction equation developed for Nellore cattle and genetic associations between frame score (FRAME) and growth-, reproductive-, carcass- and feed efficiency-related traits, and five bioeconomic indexes.
Methods: Birth weight (BW), adjusted weight at 120 (W120), 210 (W210) and 450 (W450) days of age, adult weight (AW), age at first calving (AFC), probability of precocious calving (PPC30), stayability (STAY), accumulated cow productivity (ACP), adjusted scrotal circumference at 365 (SC365) and 450 (SC450) days of age, rib eye area (REA), subcutaneous backfat thickness (BFT), rump fat thickness (RFT), intramuscular fat percentage (IMF), residual feed intake (RFI) and dry-matter intake (DMI) were included in the analyses. Frame score was calculated using the multiple linear regression (MLR) prediction method. The estimation of genetic parameters was performed using a linear animal model, except for PPC30 and STAY, which were estimated through a threshold animal model. The correlated response in FRAME considering selection for growth-, reproductive-, carcass- and feed efficiency-indicator traits were obtained in the context of single-trait selection and a multiple-trait context.
Key results: Heritability estimated for FRAME was moderate (0.30 ± 0.09). Frame score showed moderate genetic correlations with growth traits, BW (0.51 ± 0.08), W120 (0.41 ± 0.07), W210 (0.35 ± 0.07) and W450 (0.29 ± 0.08). The genetic correlation estimates between FRAME and RFT was high (−0.84 ± 0.02), but low with ACP (0.25 ± 0.08) and RFI (0.10 ± 0.13). In the single-trait and multi-trait contexts, there was a lower correlated gain for FRAME when the selection was applied for traits commonly measured in beef cattle breeding programs.
Conclusion: Selection to increase growth traits would lead to an increase in frame size and herd nutritional requirements, and it would reduce the carcass fatness level and early heifer sexual precocity. FRAME could be an alternative trait to monitor calf birth weight.
Implications: Selection for FRAME is feasible, and the most suitable frame score value depends on the production system objectives and feed resources.
Keywords: animal size, Bos indicus, beef cattle, fertility, genetic correlation, genetic parameters, response to selection, selection indexes.
References
Baldi F, de Alencar MM, de Freitas AR, Barbosa RT (2008) Parâmetros genéticos para características de tamanho e condição corporal, eficiência reprodutiva e longevidade em fêmeas da raça Canchim. Revista Brasileira de Zootecnia 37, 247–253.| Parâmetros genéticos para características de tamanho e condição corporal, eficiência reprodutiva e longevidade em fêmeas da raça Canchim.Crossref | GoogleScholarGoogle Scholar |
Baldi F, Figueredo LG, Oliveira HND, Bezerra LAF, Faria CU, Lôbo RB (2016) Bioeconomic selection index for Nellore Brazil breeding program. In ‘5th International conference on quantitative genetics’. (ICQG: Madison)
Berg RT, Butterfield RM (1976) ‘New concepts of cattle growth.’ (Macarthur Press: Sydney, NSW, Australia)
Berry DP, Evans RD (2014) Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits. Journal of Animal Science 92, 1412–1422.
| Genetics of reproductive performance in seasonal calving beef cows and its association with performance traits.Crossref | GoogleScholarGoogle Scholar | 24496848PubMed |
BIF – Beef Improvement Federation (2002) ‘Guidelines for uniform beef improvement programs.’ 8th edn. (Beef Improvement Federation, Animal and Dairy Science Department, The University of Georgia: Athens, GA, USA) Available at https://www.mertolenga.com/BIF%20Guidelines%20Eighth%20Edition.PDF
Bonamy M, Kluska S, Peripolli E, de Lemos MVA, Amorim ST, Vaca RJ, Lôbo RB, de Castro LM, de Faria CU, Ferrari FB, Baldi F (2019) Genetic association between different criteria to define sexual precocious heifers with growth, carcass, reproductive and feed efficiency indicator traits in Nellore cattle using genomic information. Journal of Animal Breeding and Genetics 136, 15–22.
| Genetic association between different criteria to define sexual precocious heifers with growth, carcass, reproductive and feed efficiency indicator traits in Nellore cattle using genomic information.Crossref | GoogleScholarGoogle Scholar | 30461083PubMed |
Bonin MN, Ferraz JBS, Pedrosa VB, Silva SL, Gomes RC, Cucco DC, Santana MHA, Campos JHA, Barbosa VN, Castro FSF, Novais FJ, Oliveira ECM (2015) Visual body-scores selection and its influence on body size and ultrasound carcass traits in Nellore cattle. Journal of Animal Science 93, 5597–5606.
| Visual body-scores selection and its influence on body size and ultrasound carcass traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar | 26641169PubMed |
Bourdon RM (1997) ‘Understanding animal breeding.’ 2nd edn. (Prentice-Hall: NJ, USA)
Brunes LC, Baldi FS, Costa MFO, Quintans G, Banchero G, Lôbo RB, Magnabosco CU (2022) Early growth, backfat thickness and body condition has major effect on early heifer pregnancy in Nellore cattle. Annals of the Brazilian Academy of Sciences 94, e20191559
| Early growth, backfat thickness and body condition has major effect on early heifer pregnancy in Nellore cattle.Crossref | GoogleScholarGoogle Scholar |
Caetano SL, Savegnago RP, Boligon AA, Ramos SB, Chud TCS, Lôbo RB, Munari DP (2013) Estimates of genetic parameters for carcass, growth and reproductive traits in Nellore cattle. Livestock Science 155, 1–7.
| Estimates of genetic parameters for carcass, growth and reproductive traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar |
da Silva Neto JB, Peripolli E, da Costa e Silva EV, Espigolan R, Neira JDR, Schettini G, da Costa Filho LCC, Barbosa FB, Macedo GG, Costa-Brunes L, Lobo RB, Pereira ASC, Baldi F (2020) Genetic correlation estimates between age at puberty and growth, reproductive, and carcass traits in young Nelore bulls. Livestock Science 241, 104266
| Genetic correlation estimates between age at puberty and growth, reproductive, and carcass traits in young Nelore bulls.Crossref | GoogleScholarGoogle Scholar |
Falconer DS, Mackay TFCC (1996) ‘Introduction to quantitative genetics.’ 4th edn. (Pearson Prentice Hall: Edinburgh, SLD)
Geweke J (1992) Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In ‘Bayesian statistics. Vol. 4’. (Eds JM Bernardo, JO Berger, AP David, AFM Smith) pp. 169–193. (Oxford University Press: Oxford, UK)
Gianola D, Foulley JL (1983) Sire evaluation for ordered categorical data with a threshold model. Genetics Selection Evolution 15, 201–224.
| Sire evaluation for ordered categorical data with a threshold model.Crossref | GoogleScholarGoogle Scholar |
Gordo DGM, Espigolan R, Bresolin T, Fernandes GA, Magalhães AFB, Braz CU, Fernandes WB, Baldi F, Albuquerque LG (2018) Genetic analysis of carcass and meat quality traits in Nelore cattle. Journal of Animal Science 96, 3558–3564.
| Genetic analysis of carcass and meat quality traits in Nelore cattle.Crossref | GoogleScholarGoogle Scholar | 30007290PubMed |
Grossi DdA, Berton MP, Buzanskas ME, Chud TCS, Grupioni NV, de Paz CCP, Lôbo RB, Munari DP (2016) Genetic analysis on accumulated productivity and calving intervals in Nelore cattle. Tropical Animal Health and Production 48, 207–210.
| Genetic analysis on accumulated productivity and calving intervals in Nelore cattle.Crossref | GoogleScholarGoogle Scholar |
Guimarães NC (2020) Desenvolvimento do novo sistama de frame score para bovinos da raça Nelore e sua associação com caracaterísticas produtivas. Thesis, Federal University of Goiás, Goiânia, Brazil.
Hazel LN (1943) The genetic basis for constructing selection indexes. Genetics 28, 476–490.
| The genetic basis for constructing selection indexes.Crossref | GoogleScholarGoogle Scholar | 17247099PubMed |
Hill WG (2013) Genetic correlation. In ‘Brenner’s encyclopedia of genetics’. 2nd edn. (Eds S Maloy, K Hughes) pp. 237–239. (Elsevier: San Diego, CA, USA)
| Crossref |
Horimoto ARVR, Ferraz JBS, Balieiro JCC, Eler JP (2007) Phenotypic and genetic correlations for body structure scores (frame) with productive traits and index for CEIP classification in Nellore beef cattle. Genetics and Molecular Research 6, 188–196. https://www.geneticsmr.com/articles/341
Jenkins TG, Ferrell CL (2002) Beef cow efficiency – revised. In ‘34th Annual beef improvement federation annual meeting, 10–13 July 2002, Omaha, NE’. pp. 113–117.
Johanson JM, Berger PJ (2003) Birth weight as a predictor of calving ease and perinatal mortality in Holstein cattle. Journal of Dairy Science 86, 3745–3755.
| Birth weight as a predictor of calving ease and perinatal mortality in Holstein cattle.Crossref | GoogleScholarGoogle Scholar | 14672206PubMed |
Kluska S, Olivieri BF, Bonamy M, Chiaia HLJ, Feitosa FLB, Berton MP, Peripolli E, Lemos MVA, Tonussi RL, Lôbo RB, Magnabosco CdU, Di Croce F, Osterstock J, Pereira ASC, Munari DP, Bezerra LA, Lopes FB, Baldi F (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.
| Estimates of genetic parameters for growth, reproductive, and carcass traits in Nelore cattle using the single step genomic BLUP procedure.Crossref | GoogleScholarGoogle Scholar |
Knights SA, Baker RL, Gianola D, Gibb JB (1984) Estimates of heritabilities and of genetic and phenotypic correlations among growth and reproductive traits in yearling Angus bulls. Journal of Animal Science 58, 887–893.
| Estimates of heritabilities and of genetic and phenotypic correlations among growth and reproductive traits in yearling Angus bulls.Crossref | GoogleScholarGoogle Scholar | 6725151PubMed |
Magalhães AFB, de Camargo GMF, Fernandes GA, Gordo DGM, Tonussi RL, Costa RB, Espigolan R, Silva RMdO, Bresolin T, de Andrade WBF, Takada L, Feitosa FLB, Baldi F, Carvalheiro R, Chardulo LAL, de Albuquerque LG (2016) Genome-wide association study of meat quality traits in Nellore cattle. PLoS ONE 11, e0157845
| Genome-wide association study of meat quality traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar |
Mercadante MEZ, Razook AG, Cyrillo JNSG, Figueiredo LA (2007) Classification of Nelore cattle frames based the table of the Beef Improvement Federation (BIF). Bulletin of Animal Husbandry 64, 91–95.
Misztal I, Tsuruta S, Strabel T, Auvray B, Druet T, Lee DH (2002) BLUPF90 and related programs (BGF90). In ‘Proceedings, 7th world congress on genetics applied to livestock production’, 19–23 August 2002, Montpellier, France, CD-ROM Communication, vol. 28, p. 7.
Misztal I, Tsuruta S, Lourenco D, Aguilar I, Legarra A, Vitezica Z (2014) Manual for BLUPF90 family of programs. (University of Georgia) Avaliable at http://nce.ads.uga.edu/wiki/doku.php
Mota LFM, Mariz TMA, Ribeiro JS, Silva MEF, Lima DM (2015) Divergência morfométrica em bovinos nelore em crescimento classificados para diferentes classes de frame size. Revista Caatinga 28, 117–125. https://periodicos.ufersa.edu.br/index.php/caatinga/article/view/3666/pdf_253
Mrode RA, Thompson R (2005) ‘Linear models for the prediction of animal breeding values.’ (CAB International: Wallingford, UK)
Mwansa PB, Crews DH, Wilton JW, Kemp RA (2002) Multiple trait selection for maternal productivity in beef cattle. Journal of Animal Breeding and Genetics 119, 391–399.
| Multiple trait selection for maternal productivity in beef cattle.Crossref | GoogleScholarGoogle Scholar |
Neser FWC, Van Wyk JB, Fair MD, Lubout P, Crook BJ (2012) Estimation of genetic parameters for growth traits in Brangus cattle. South African Journal of Animal Science 42, 469–473.
| Estimation of genetic parameters for growth traits in Brangus cattle.Crossref | GoogleScholarGoogle Scholar |
R Core Team (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at https://www.R-project.org/
Reuter Pas RR, Childs MD, Belk KE, Machado TJ, Biermacher JT (2011) Effects of USDA feeder cattle frame and muscle grades on stocker and feeder cattle performance and profitability. The Professional Animal Scientist 27, 525–534.
| Effects of USDA feeder cattle frame and muscle grades on stocker and feeder cattle performance and profitability.Crossref | GoogleScholarGoogle Scholar |
Riley DG, Chase CC, Hammond AC, West RL, Johnson DD, Olson TA, Coleman SW (2002) Estimated genetic parameters for carcass traits of Brahman cattle. Journal of Animal Science 80, 955–962.
| Estimated genetic parameters for carcass traits of Brahman cattle.Crossref | GoogleScholarGoogle Scholar | 12008662PubMed |
Ríos-Utrera A, Montaño-Bermúdez M, Vega-Murillo VE, Martínez-Velázquez G, Baeza-Rodríguez JJ (2018) Genetic parameters for scrotal circumference, frame score and yearling weight of Mexican Charolais and Charbray young bulls. Revista Colombiana de Ciencias Pecuarias 31, 204–212.
| Genetic parameters for scrotal circumference, frame score and yearling weight of Mexican Charolais and Charbray young bulls.Crossref | GoogleScholarGoogle Scholar |
Rutten MJM, Bijma P, Woolliams JA, van Arendonk JAM (2002) SelAction: software to predict selection response and rate of inbreeding in livestock breeding programs. Journal of Heredity 93, 456–458.
| SelAction: software to predict selection response and rate of inbreeding in livestock breeding programs.Crossref | GoogleScholarGoogle Scholar |
Short RE, Bellows RA (1971) Relationships among weight gains, age at puberty and reproductive performance in heifers. Journal of Animal Science 32, 127–131.
| Relationships among weight gains, age at puberty and reproductive performance in heifers.Crossref | GoogleScholarGoogle Scholar |
Smith BJ (2008) Bayesian Output Analysis Program (BOA) for MCMC. Available at http://www.public-health.uiowa.edu/boa
Sorensen D, Gianola D (2002) ‘Likelihood, Bayesian, and MCMC methods in quantitative genetics.’ (Springer-Verlag: Springer, New York, NY, USA)
Taylor GJ, Swanepoel FJC, Webb EC, Stroebel A (2008) Effect of heifer frame size on their subsequent reproductive performance and preweaning performance of their calves. Australian Journal of Experimental Agriculture 48, 945–949.
| Effect of heifer frame size on their subsequent reproductive performance and preweaning performance of their calves.Crossref | GoogleScholarGoogle Scholar |
Tonussi RL, Espigolan R, Gordo DGM, Magalhães AFB, Venturini GC, Baldi F, de Oliveira HN, Chardulo LAL, Tonhati H, de Albuquerque LG (2015) Genetic association of growth traits with carcass and meat traits in Nellore cattle. Genetics and Molecular Research 14, 18713–18719.
| Genetic association of growth traits with carcass and meat traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar | 26782521PubMed |
Utsunomiya YT, do Carmo AS, Carvalheiro R, Neves HHR, Matos MC, Zavarez LB, O’Brien AMP, Sölkner J, McEwan JC, Cole JB, Van Tassell CP, Schenkel FS, da Silva MVGB, Porto Neto LR, Sonstegard TS, Garcia JF (2013) Genome-wide association study for birth weight in Nellore cattle points to previously described orthologous genes affecting human and bovine height. BMC Genetics 14, 52
| Genome-wide association study for birth weight in Nellore cattle points to previously described orthologous genes affecting human and bovine height.Crossref | GoogleScholarGoogle Scholar | 23758625PubMed |
Vargas CA, Olson TA, Chase CC, Hammond AC, Elzo MA (1999) Influence of frame size and body condition score on performance of Brahman cattle. Journal of Animal Science 77, 3140–3149.
| Influence of frame size and body condition score on performance of Brahman cattle.Crossref | GoogleScholarGoogle Scholar | 10641856PubMed |
Vargas Jurado N, Tanner AE, Blevins SR, Rich J, Mayes RW, Fiske D, Swecker WS, Lewis RM (2015) Feed intake and diet selection in Angus-cross heifers of two frame sizes at two stages of growth. Journal of Animal Science 93, 1565–1572.
| Feed intake and diet selection in Angus-cross heifers of two frame sizes at two stages of growth.Crossref | GoogleScholarGoogle Scholar | 26020178PubMed |
Vicente IS, Souza FRP, Vaz RZ, Boligon AA (2015) Associação genética do biótipo com o tamanho adulto de vacas da raça Nelore. In ‘XI Simpósio Brasileiro de Melhoramento Animal’, 7–8 September 2015. (SBMA: Santa Maria, Brazil)
Walker RS, Martin RM, Gentry GT, Gentry LR (2015) Impact of cow size on dry matter intake, residual feed intake, metabolic response, and cow performance. Journal of Animal Science 93, 672–684.
| Impact of cow size on dry matter intake, residual feed intake, metabolic response, and cow performance.Crossref | GoogleScholarGoogle Scholar | 25548208PubMed |
Yokoo MJ, Lobo RB, Araujo FRC, Bezerra LAF, Sainz RD, Albuquerque LG (2010) Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle. Journal of Animal Science 88, 52–58.
| Genetic associations between carcass traits measured by real-time ultrasound and scrotal circumference and growth traits in Nelore cattle.Crossref | GoogleScholarGoogle Scholar | 19820065PubMed |
