Selection criteria for feed efficiency-related traits and their association with growth, reproductive and carcass traits in Nelore cattle
L. C. Brunes A B H , F. Baldi C , F. B. Lopes D , R. B. Lobo E , R. Espigolan F , M. F. O. Costa B and C. U. Magnabosco GA Department of Animal Science, Federal University of Goiás (UFG), Goiânia, GO, C.P. 74.690.900, Brazil.
B Embrapa Rice and Beans, Santo Antônio de Goiás, GO, C.P. 75.375.000, Brazil.
C Department of Animal Science, São Paulo State University (UNESP), Jaboticabal, SP, C.P. 14.884.900, Brazil.
D Cobb-Vantress, Inc., 72761, Siloam Springs, AR, C.P. 1030, USA.
E National Association of Breeders and Researchers (ANCP), Ribeirão Preto, C.P. 14.020.230, Brazil.
F Department of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of Sao Paulo, Pirassununga, SP, C.P. 13.635.900, Brazil.
G Embrapa Cerrados, Planaltina, Brasilia, DF, C.P. 70.770.901, Brazil.
H Corresponding author. Email: ludmillabrunes@hotmail.com; ludmillabrunes@gmail.com
Animal Production Science 61(16) 1633-1642 https://doi.org/10.1071/AN20487
Submitted: 26 August 2020 Accepted: 17 June 2021 Published: 20 July 2021
Abstract
Context: Livestock feed costs have a higher impact on the profitability of beef production systems and are directly related to feed efficiency. However, these traits are hard and have high costs to measure, reducing the availability of phenotypic records and reliability of genetic evaluations. Thus, the use of genomic information can increase the robustness of genetic studies that address them.
Aims: The aim of the present study was to estimate genetic parameters for feed efficiency, growth, reproductive and carcass traits in Nelore cattle and the correlated response among them, using genomic information.
Methods: Residual feed intake (RFI), dry-matter intake, feed conversion ratio, feed efficiency (FE), residual average daily gain (RG), residual feed intake and average daily gain (RIG), birthweight, weight at 120, 240, 365 and 450 days of age, scrotal circumference at 365 and 450 days of age, rib-eye area, backfat thickness and rump fat thickness were evaluated. The genetic parameters were estimated using the single-step genomic best linear unbiased prediction approach.
Key results: The FE-related traits showed low to moderate heritability ranging from 0.07 to 0.23. Feed efficiency-related traits showed low genetic correlations with reproductive (–0.24 to 0.27), carcass (–0.17 to 0.27) and growth (–0.19 to 0.24) traits, except for growth with dry-matter intake (0.32–0.56) and weight at 365 days of age with FE (–0.40).
Conclusions: The selection to improve growth, reproductive and carcass traits would not change RFI, RG and RIG. The choice of the most adequate selection criterion depends on the production system, that is, RFI might be used for low-input beef cattle systems, and RIG would be used for more intensive and without-any-dietary-restrictions beef cattle systems.
Implications: The estimates of heritability and genetic correlations suggest that genetic selection for feed efficiency using RFI, RG and RIG in Nellore cattle leads to higher genetic gain than does that using FE and feed conversion ratio without affecting other profitability traits.
Keywords: Bos indicus, genetic correlation, residual average daily gain, residual feed intake, single-step genomic best linear unbiased prediction.
References
Aguilar I, Misztal I, Johnson D, Legarra A, Tsuruta S, Lawlor T (2010) Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. Journal of Dairy Science 93, 743–752.| Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.Crossref | GoogleScholarGoogle Scholar | 20105546PubMed |
Arthur PF, Herd RM (2008) Residual feed intake in beef cattle. Revista Brasileira de Zootecnia 37, 269–279.
| Residual feed intake in beef cattle.Crossref | GoogleScholarGoogle Scholar |
Arthur PF, Archer JA, Johnston DJ, Herd RM, Richardson EC, Parnell PF (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, 2805–2811.
| Genetic and phenotypic variance and covariance components for feed intake,feed efficiency, and other postweaning traits in Angus cattle.Crossref | GoogleScholarGoogle Scholar | 11768108PubMed |
Barwick AS, Wolcott ML, Johnston DJ, Burrow HM, Sullivan MT (2009) Genetics of steer daily and residual feed intake in two tropical beef genotypes, and relationships among intake, body composition, growth and other post-weaning measures. Animal Production Science 49, 351–366.
| Genetics of steer daily and residual feed intake in two tropical beef genotypes, and relationships among intake, body composition, growth and other post-weaning measures.Crossref | GoogleScholarGoogle Scholar |
Basarab JA, Price MA, Aalhus JL, Okine EK, Snelling WM, Lyle KL (2003) Residual feed intake and body composition in young growing cattle. Canadian Journal of Animal Science 83, 189–204.
| Residual feed intake and body composition in young growing cattle.Crossref | GoogleScholarGoogle Scholar |
Berry DP, Crowley JJ (2012) Residual intake and body weight gain: a new measure of efficiency in growing cattle. Journal of Animal Science 90, 109–115.
| Residual intake and body weight gain: a new measure of efficiency in growing cattle.Crossref | GoogleScholarGoogle Scholar | 21890504PubMed |
Berry DP, Crowley JJ (2013) Genetics of feed efficiency in dairy and beef cattle. Journal of Animal Science 91, 1594–1613.
| Genetics of feed efficiency in dairy and beef cattle.Crossref | GoogleScholarGoogle Scholar | 23345557PubMed |
BIF - Beef Improvemen Federation (2002) ‘Guidelines for Beef Improvement Programs.’ 8th edn. (Beef Improvement Federation, Animal & Dairy Science Department, The University of Georgia: Athens, GA, USA). Available at https://www.mertolenga.com/BIF%20Guidelines%20Eighth%20Edition.PDF
Boaitey A, Goddard E, Mohapatra S, Crowley J (2017) Feed efficiency estimates in cattle: the economic and environmental impacts of reranking. Sustainable Agriculture Research 6, 35–47.
| Feed efficiency estimates in cattle: the economic and environmental impacts of reranking.Crossref | GoogleScholarGoogle Scholar |
Boddhireddy P, Kelly MJ, Northcutt S, Prayaga KC, Rumph J, Denise S (2014) Genomic predictions in Angus cattle: comparisons of sample size, response variables, and clustering methods for cross-validation. Journal of Animal Science 92, 485–497.
| Genomic predictions in Angus cattle: comparisons of sample size, response variables, and clustering methods for cross-validation.Crossref | GoogleScholarGoogle Scholar | 24431338PubMed |
Bonamy M, Kluska S, Peripolli E, de Lemos MVE, Amorim ST, Vaca RJ, Lobo RB, de Casto 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 |
Brito Lopes F, da Silva MC, Magnabosco CU, Narciso MG, Sainz RD (2016) Selection indices and multivariate analysis show similar results in the evaluation of growth and carcass traits in beef cattle. PLoS One 11, e0147180
| Selection indices and multivariate analysis show similar results in the evaluation of growth and carcass traits in beef cattle.Crossref | GoogleScholarGoogle Scholar | 26789008PubMed |
Brunes LC, Baldi F, Lopes FB, Lobo RB, Espigolan R, Costa MFO, Stafuzza NB, Magnabosco CU (2021) Weighted single-step genome-wide association study and pathway analyses for feed efficiency traits in Nellore cattle. Journal of Animal Breeding and Genetics 138, 23–44.
| Weighted single-step genome-wide association study and pathway analyses for feed efficiency traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar | 32654373PubMed |
Cancino-Baier DE, Mamani GC, Santana BF, Mattos EC, Eler JP, Sainz RD, Tonetto T, Tonetto V, Tonetto F, Quiñones JA, Sepúlveda NG, Ferraz JBS (2019) Estimation of variance components for carcass and production traits in Guzerat cattle. Genetics and Molecular Research 18, 1–9.
| Estimation of variance components for carcass and production traits in Guzerat cattle.Crossref | GoogleScholarGoogle Scholar |
Ceacero TM, Mercadante MEZ, Cyrillo JNDSG, Canesin RC, Bonilha SFM, de Albuquerque LG (2016) Phenotypic and genetic correlations of feed efficiency traits with growth and carcass traits in Nellore cattle selected for postweaning weight. PLoS One 11, e0161366
| Phenotypic and genetic correlations of feed efficiency traits with growth and carcass traits in Nellore cattle selected for postweaning weight.Crossref | GoogleScholarGoogle Scholar | 27537268PubMed |
Crowley JJ, McGee M, Kenny DA, Crews DH, Evans RD, Berry DP (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, 885–894.
| Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls.Crossref | GoogleScholarGoogle Scholar | 19966161PubMed |
de Moraes GF, Abreu LRA, Ferreira IC, Pereira IG (2017) Genetic analysis of residual feed intake adjusted for fat and carcass and performance traits in a Nellore herd. Ciência Rural 47, 1–6.
| Genetic analysis of residual feed intake adjusted for fat and carcass and performance traits in a Nellore herd.Crossref | GoogleScholarGoogle Scholar |
de Oliveira PSN, Cesar ASM, do Nascimento ML, Chaves AS, Tizioto PC, Tullio RR, Lanna DPD, Rosa AN, Sonstegard TS, Mourao GB, Reecy JM, Garrick DJ, Mudadu MA, Coutinho LL, Regitano LCA (2014) Identification of genomic regions associated with feed efficiency in Nelore cattle. BMC Genetics 15, 100
| Identification of genomic regions associated with feed efficiency in Nelore cattle.Crossref | GoogleScholarGoogle Scholar |
Ferreira Júnior RJ, Bonilha SFM, Monteiro FM, Cyrillo JNSG, Branco RH, Silva JAIV, Mercadante MEZ (2018) Evidence of negative relationship between female fertility and feed efficiency in Nellore cattle. Journal of Animal Science 96, 4035–4044.
| Evidence of negative relationship between female fertility and feed efficiency in Nellore cattle.Crossref | GoogleScholarGoogle Scholar | 29986041PubMed |
Ferrell C, Jenkins T (1985) Energy utilization by Hereford and Simmental males and females. Animal Production 41, 53–61.
| Energy utilization by Hereford and Simmental males and females.Crossref | GoogleScholarGoogle Scholar |
Garnero AV, Lôbo RB, Bezerra LAF, Oliveira HN (2001) Comparação entre alguns critérios de seleção para crescimento na raça Nelore. Revista Brasileira de Zootecnia 30, 714–718.
| Comparação entre alguns critérios de seleção para crescimento na raça Nelore.Crossref | GoogleScholarGoogle Scholar |
Grion AL, Mercadante MEZ, Cyrillo JNSG, Bonilha SFM, Magnani E, Branco RH (2014) Selection for feed efficiency traits and correlated genetic responses in feed intake and weight gain of Nellore cattle. Journal of Animal Science 92, 955–965.
| Selection for feed efficiency traits and correlated genetic responses in feed intake and weight gain of Nellore cattle.Crossref | GoogleScholarGoogle Scholar | 24492579PubMed |
Gunsett FC (1984) Linear index selection to improve traits defined as ratio. Journal of Animal Science 59, 1185–1193.
| Linear index selection to improve traits defined as ratio.Crossref | GoogleScholarGoogle Scholar |
Kluska S, Olivieria BF, Bonamy M, Chiaiaa HLJ, Feitosaa FLB, Bertona MP, Peripolli E, Lemos MVA, Tonussi RL, Lobo RB, Magnabosco CU, Di Croce F, Osterstock J, Pereira ACS, 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 |
Koch R, Swiger L, Chambers D, Gregory K (1963) Efficiency of feed use in beef cattle. Journal of Animal Science 22, 486–494.
| Efficiency of feed use in beef cattle.Crossref | GoogleScholarGoogle Scholar |
Lancaster PA, Carstens GE, Crews DH Lancaster PA, Carstens GE, Crews DH Lancaster PA, Carstens GE, Crews DH (2009) Phenotypic and genetic relationships of residual feed intake with performance and ultrasound carcass traits in Brangus heifers. Journal of Animal Science 87, 3887–3896.
| Phenotypic and genetic relationships of residual feed intake with performance and ultrasound carcass traits in Brangus heifers.Crossref | GoogleScholarGoogle Scholar | 19717782PubMed |
Mendes EDM, de Faria CU, Sainz RD, Silveira ACL, Magnabosco CU, Eifert EC, Baldi F, Ventura HT, de Castro LM, Ribeiro LB, Cavalcanti LFL, Josahkian LA, da Silva LOC, Mercadante MEZ, Ribas MN, Lobo RB, Arnandes RHB, da Gomes RC, Farjalla YB (2020) ‘Procedimentos para mensuração de consumo individual de alimento em bovinos de corte.’ (Associação Nacional de Criadores e Pesquisadores: Ribeirão Preto, Brazil)
Meyer K, Houle D (2013) Sampling based approximation of confidence intervals for functions of genetic covariance matrices. In ‘Proceedings of the 20th Association for the Advancement of Animal Breeding and Genetics Conference’, 20 October 2013, Napier, New Zealand. (Ed. NL Villalobos) pp. 523–526. (AAABG: Napier, New Zealand)
Moraes GF, Abreu LRA, Toral LFB, Ferreira IC, Ventura HT, Bergmann JAG, Pereira IG (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, 464–473.
| Selection for feed efficiency does not change the selection for growth and carcass traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar | 31328836PubMed |
Nielsen MK, MacNeil MD, Dekkers JCM, Crews DH, Rathje TA, Enns RM, Weaber RL (2013) Review: life-cycle, total industry genetic improvement of feed efficiency in beef cattle: Blueprint for the Beef Improvement Federation. The Professional Animal Scientist 29, 559–565.
| Review: life-cycle, total industry genetic improvement of feed efficiency in beef cattle: Blueprint for the Beef Improvement Federation.Crossref | GoogleScholarGoogle Scholar |
Nkrumah JD, Sherman EL, Li C, Marques E, Crews DHJ, Bartusiak R, Murdoch B, Wang Z, Basarab JA, Moore SS (2007) Primary genome scan to identify putative quantitative trait loci for feedlot growth rate, feed intake, and feed efficiency of beef cattle. Journal of Animal Science 85, 3170–3181.
| Primary genome scan to identify putative quantitative trait loci for feedlot growth rate, feed intake, and feed efficiency of beef cattle.Crossref | GoogleScholarGoogle Scholar | 17709790PubMed |
Olivieri BF, Mercadante MEZ, Cyrillo JNSG, Branco RH, Bonilha SFM, Albuquerque LG, Silva RM de O, Baldi F (2016) Genomic regions associated with feed efficiency indicator traits in an experimental Nellore cattle population. PLoS One 11, e0164390
| Genomic regions associated with feed efficiency indicator traits in an experimental Nellore cattle population.Crossref | GoogleScholarGoogle Scholar | 27760167PubMed |
Pires BC, Buzanskas PTB, Sbardella ME, Rosa AP, Oliveira J, da Silva LOC, Torres Junior RA de A, Munari D, Alencar MM (2017) Genetic analyses on bodyweight, reproductive, and carcass traits in composite beef cattle. Animal Production Science 57, 415–421.
| Genetic analyses on bodyweight, reproductive, and carcass traits in composite beef cattle.Crossref | GoogleScholarGoogle Scholar |
Pitchford WS, Lines DS, Wilkes MJ (2018) Variation in residual feed intake depends on feed on offer. Animal Production Science 58, 1414–1422.
| Variation in residual feed intake depends on feed on offer.Crossref | GoogleScholarGoogle Scholar |
Polizel GHG, Grigoletto L, Carvalho M, Rossi P, Ferraz JBS, Santana MHA (2018) Genetic correlations and heritability estimates for dry matter intake, weight gain and feed efficiency of Nellore cattle in feedlot. Livestock Science 214, 209–210.
| Genetic correlations and heritability estimates for dry matter intake, weight gain and feed efficiency of Nellore cattle in feedlot.Crossref | GoogleScholarGoogle Scholar |
Santana MHA, Oliveira GA, Gomes RC, Silva SL, Leme PR, Stella TR, Mattos EC, Rossi P, Baldi FS, Eler JP, Ferraz JBS (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.
| Genetic parameter estimates for feed efficiency and dry matter intake and their association with growth and carcass traits in Nellore cattle.Crossref | GoogleScholarGoogle Scholar |
Schober P, Boer C, Schwarte LA (2018) Correlation coefficients: appropriate use and interpretation Anesthesia & Analgesia 126, 1763–1768.
| Correlation coefficients: appropriate use and interpretationCrossref | GoogleScholarGoogle Scholar |
Silva RMO, Fraagomeni BO, Lourenço DAL, Magalhães AFB, Irano N, Carvalheiro R, Canesin RC, Mercadante MEZ, Boligon AA, Baldi FS, Misztal I, Albuquerque LG (2016) Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population. Journal of Animal Science 94, 3613–3623.
| Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population.Crossref | GoogleScholarGoogle Scholar |
Torres-Vázquez JA, der Werf JHJV, Clark SA (2018) Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle. Journal of Animal Science 96, 4521–4531.
| Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle.Crossref | GoogleScholarGoogle Scholar | 30124864PubMed |
VanRaden PPMP (2008) Efficient methods to compute genomic predictions. Journal of Dairy Science 91, 4414–4423.
| Efficient methods to compute genomic predictions.Crossref | GoogleScholarGoogle Scholar |
Yokoo MJ, Lôbo 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 |
Zhang F, Wang Y, Mukiibi R, Chen L, Vinsky M, Plastow G, Basarab J, Stothard P, Li C (2020) Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits. BMC Genomics 21, 36
| Genetic architecture of quantitative traits in beef cattle revealed by genome wide association studies of imputed whole genome sequence variants: I: feed efficiency and component traits.Crossref | GoogleScholarGoogle Scholar | 31931702PubMed |
Zuin RG, Buzanskas ME, Caetano SL, Venturini GC, Guidolin DGF, Grossi DA, Chud TCS, Paz CCP, Lobo RB, Munari DP (2012) Genetic analysis on growth and carcass traits in Nelore cattle. Meat Science 91, 352–357.
| Genetic analysis on growth and carcass traits in Nelore cattle.Crossref | GoogleScholarGoogle Scholar | 22405874PubMed |