Metanálise sobre características de carcaça e carne de novilhos confinados de diferentes origens genéticas no Brasil
DOI:
https://doi.org/10.1590/1809-6891v25e-78628EResumo
O objetivo do presente estudo foi avaliar as características da carcaça e da carne de novilhos confinados no Brasil de acordo com o grupo genético por meio de uma revisão sistemática e meta-análise. Foi realizada busca eletrônica de artigos nas bases de dados Scielo e Google Acadêmico e os dados foram agrupados de acordo com a predominância genética. Os resultados foram testados quanto à heterogeneidade e submetidos ao teste de normalidade e teste F e as médias comparadas pelo teste de Tukey. Novilhos predominantemente britânicos foram terminados em idade mais jovem, necessitaram de tempos de confinamento mais longos e apresentaram menores pesos de carcaça quente e menores áreas de olho de lombo no abate. Os percentuais de carcaça muscular foram maiores nos novilhos Continentais e Sintéticos em relação aos Britânicos e Zebu, enquanto os percentuais de gordura foram maiores nos Britânicos e Zebu em comparação aos continentais e sintéticos. O marmoreio da carne foi maior nos novilhos britânicos, continentais e mestiços em relação aos novilhos sintéticos e zebuínos. A origem do novilho britânico permite menor idade de abate, embora leve à redução do peso da carcaça quente, enquanto a predominância genética do zebu pode produzir carcaças com alto percentual de gordura.
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Referências
Fao - Food and Agriculture Organization of the United Nations. The future of food and agriculture Alternative pathways to 2050. 2018. 61p.
Usda - United states department of agriculture - AGRICULTURE - Livestock and Products Annua - Brazil. 2022, 35p.
Herrera DM, Peixoto WM, Abreu JG, Reis RHP, Sousa FG, Balbinot E, Klein VAC, Costa RP. Is the Integration between Corn and Grass under Different Sowing Modalities a Viable Alternative for Silage? Animals, v.13, n(3), p.425, 2023. https://doi.org/10.3390/ani13030425
Magnabosco C, Lopes F, Fragoso R, Eifert E, Valente B, Rosa G, Sainz R. Accuracy of genomic breeding values for meat tenderness in Polled Nellore cattle. Journal of Animal Science, 94, 2752–2760, 2016. https://doi.org/10.2527/jas.2016-0279
Lean IJ, Thompson JM, Dunshea FR. A meta-analysis of Zilpaterol and Ractopamine effects on feedlot performance, carcass trail and shear strenght of meat in cattle. PloSv one. v. 12, p. 1–28, 2014. https://doi.org/10.1371/journal.pone.0115904
Pacheco RF, Machado DS, Vianna A FP, Teixeira JS, Milani L. Comparison of the effects of slow-release urea vs conventional urea supplementation on some finishing cattle parameters: A meta-analysis. Livestock Science, v. 250, p.104549, 2021. https://doi.org/10.1016/j.livsci.2021.104549
Eloy LR, Bremm C, Lobato JFP, Pötter L, Laca EA. Direct and indirect nutritional factors that determine reproductive performance of heifer and primiparous cows. PLoS ONE, v.17, n.10, e0275426, 2022. https://doi.org/10.1371/journal.pone.0275426
Lopes FB, Magnabosco CU, Passafaro TL, Brunes LC, Costa MFO, Eifert EC, Narciso MG, Rosa GJM, Lobo RB, Baldi F. Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks. Journal Animal Breed Genetics. v. 00, p. 1–11, 2020. https://doi.org/10.1111/jbg.12468
Vaz FN, Restle J, Flores JLC, Pacheco PS, Ávila MM, Pascoal LL, Vaz RZ, Vaz MAB. Qualidade da carcaça e da carne de bovinos superjovens de diferentes grupos genéticos. Revista Agrarian, v.7, n.24, p.319-327, 2014.
Park SJ, Beak SH, Jung DJS, Kim SY, Jeong IH, Piao MY, Baik M. Genetic, management, and nutritional factors affecting intramuscular fat deposition in beef cattle - A review. Asian-Australas. Journal Animal Science, v.31, p.1043–1061, 2018. https://doi.org/10.5713/ajas.18.0310
Souza LMM, Firmino CF, Marques-Vieira CMA, Severino SSP, Pestana HCFC. Revisões da literatura científica: tipos, métodos e aplicações em Enfermagem. v. 1, 2018. https://doi.org/10.33194/rper.2018.v1.n1.07.4391
Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 327, 557-560. 2003. https://doi.org/10.1136/bmj.327.7414.557
Lean IJ, Rabiee A, Duffield T, Dohoo I. Invited review: Use of meta-analysis in animal health and reproduction: Methods and applications. J. Dairy Sci. 92, 3545–3565. 2009. https://doi.org/10.3168/jds.2009-2140
Pacheco RF, Filho DCA, Cattelam J, Mayer AR, Burin M, Pereira LB, Adams SM, Brondani IL. Probability of beef tenderness in confined cows - a meta-analytic approach. Semina: Ciências Agrárias, v. 40, n. 3, p. 1309-1318, 2019. https://doi.org/10.5433/1679-0359.2019v40n3p1307
Statistical analysis system [SAS]. SAS/STAT® 13.1 User’s Guide The GLIMMIX Procedure. 2013, 379p.
Fernandes CA, Vaz FN, Pascola LL, Pacheco PS, Moraes ML, Schreiber A, Severo MM, Vaz RZ, Maysonnave GS. Evolution of slaughter precocity in male beef cattle in the Carne Pampa programme. Ciência Animal Brasileira, v.21, e-61346, 2021. https://doi.org/10.1590/1809-6891v21e-61346
Mazzucco PJ, Goszczynski DE, Ripoli MV, Melucci LM, Pardo AM, Colatto E, Villarreal EL. Growth, carcass and meat quality traits in beef from Angus, Hereford and cross-breed grazing steers, and their association with SNPs in genes related to fat deposition metabolism. Meat Science, v.114, p.121–129, 2016. https://doi.org/10.1016/j.meatsci.2015.12.018
Owens FN, Gill DR, Secrist DS, Coleman SW. Review of some aspects of growth and development of feedlot cattle. Journal of Animal Science, 73: 3152-3172, 1995. https://doi.org/10.2527/1995.73103152x.
Gregory KE, Cundiff LV. Crossbreeding in beef cattle: evaluation of systems. Journal of Animal Science, v. 51, n. 5, p. 1224-1241, 1980. https://doi.org/10.2527/jas1980.5151224x
Fernandes TA, Vaz RZ, Restle J, Cerdótes L, Nuñez AJC, Costa PT, Ferreira OGL. Morphometric measurements of calves of beef cattle from different genetic groups up to one year of age. Scientia Agrícola. v.79, n.5, e20200374, 2022. https://doi.org/10.1590/1678-992X-2020-0374
Fernandes TA, Cerdótes L, Vaz RZ, Restle J, Ferreira OGL. Relationship between heterosis, weight gain, and body measurements of Nellore and Charolais calves. Pesquisa Agropecuária Brasileira, v.55, e01821, 2020. https://doi.org/10.1590/S1678-3921.pab2020.v55.01821
Vaz FN, Restle J, Flores JLC, Vaz RZ, Pacheco PS. Desempenho em confinamento de machos bovinos superjovens de diferentes grupos genéticos. Zootecnia Revista Ciência Agronômica, v. 44 (1), Mar 2013a. https://doi.org/10.1590/S1806-66902013000100021
Vaz RZ, Lobato JFP, Pacheco PS. Performance of Braford steers grazing on cultivated pastures and fed or not fed an energy supplement. Revista Brasileira de Zootecnia, v.42, n.2, p.130-136, 2013b. https://doi.org/10.1590/S1516-35982013000200008
Bonin MdeN, Pedrosa VB, Silva SdaLE, Bungerd L, Ross D, Gomes RdaC, Santana MHdeA, Cucco DdeC, Rezende FMDE, Ítavo LCV, Novais FJDE, Pereira MWF, Oliveira ECdeMO, Ferraz JBS. Genetic parameters associated with meat quality of Nellore cattle at different anatomical points of longissimus: Brazilian standards. Meat Science, v.171, 108281, 2021.https://doi.org/10.1016/j.meatsci.2020.108281
Blanco M, Ripoll G, Delavaud C, Casasús I. Performance, carcass and meat quality of young bulls, steers and heifers slaughtered at a common body weight. Livestock Science, v. 240, 104156, 2020. https://doi.org/10.1016/j.livsci.2020.104156
Cesar AS, Regitano LC, Mourão GB, Tullio RR, Lanna DP, Nassu RT. Genome-Wide Association Study for Intramuscular Fat Deposition and Composition in Nellore Cattle. BMC Genet, v. 15, 39, 2014. https://doi.org/10.1186/1471-2156-15-39
Martins R, Brito LF, Machado PC, Pintos LFB, Silva MR, Schenkel FS. Genome-wide Association Study and Pathway Analysis for Carcass Fatness in Nellore Cattle Measured by Ultrasound. Anim. Genet. 52, 730–733. 2021. https://doi.org/10.1111/age.13129
Boito B, Kuss F, Menezes LFGD, Lisbinski E, Paris MD, Cullmann JR. Influence of subcutaneous fat thickness on the carcass characteristics and meat quality of beef cattle. Ciência Rural, v. 48. 2017. https://doi.org/10.1590/0103-8478cr20170333
Kause A, Mikkola L, Strandén I, Sirkko K. Genetic parameters for carcass weight, conformation and fat in five beef cattle breeds. Animal, v. 9, p.35–42, 2015. https://doi.org/10.1017/S1751731114001992
Pritchard TC, Wall E, Coffey MP. Genetic parameters for carcass measurements and age at slaughter in commercial cattle. Animal, v.15, 100090, 2021.
Malheiros JM, Enriquez-Valencia CE, Silva JAIIdeV, Curi RA, Oliveira HN, Albuquerque LGDE, Chardulo LAL. Carcass and meat quality of Nellore cattle (Bos taurus indicus) belonging to the breeding programs. Livestock Science. 2020. https://doi.org/10.1016/j.livsci.2020.104277
Quadros SF, Martins E, Veiga TF. Características de carcaça e rendimento de cortes comerciais de novilhos das raças Crioula Lageana e Nelore sob condições do planalto catarinense. Brazilian Journal of Animal and Environmental Research, v. 5, n. 2, p. 1686-1704, 2022. https://doi.org/10.34188/bjaerv5n2-020
Troy DJ, Tiwari BK, Joo ST. Health Implications of Beef Intramuscular Fat Consumption. Korean J. Food Sci. Animal Resour. v. 36, n. 5, p.577–582, 2016. https://doi.org/10.1016/j.animal.2020.100090
Park SJ, Beak SH, Jung DJS, Kim SY, Jeong IH, Piao MY, Baik M. Genetic, management, and nutritional factors affecting intramuscular fat deposition in beef cattle - A review. Asian-Australas. Journal Animal Science, v.31, p.1043–1061, 2018. https://doi.org/10.5713/ajas.18.0310
Koch RM, Dikeman ME, Lipsey RJ, Allen DM, Crouse JD. Characterization of biological types of cattle ‐ Cycle II : III. Carcass composition, quality and palatability. Journal of Animal Science, v. 49, 448–460, 1979. https://doi.org/10.2527/jas1979.492448x
Crouse JD, Cundiff LV, Koch RM, Koohmaraie M, Seideman SC. Comparisons of Bos Indicus and Bos Taurus Inheritance for Carcass Beef Characteristics and Meat Palatability. Journal of Animal Science, v. 67, 10, p. 2661–2668, 1989. https://doi.org/10.2527/jas1989.67102661x
Wheeler TL, Cundiff LV, Koch RM. Characterization of biological types of cattle (Cycle IV): carcass traits and longissimus palatability. Journal of Animal Science, v.74, n.5, p.1023-1035, 1996. https://doi.org/10.2527/1996.7451023x.
Malheiros JM, Enriquez-Valencia CE, Braga CP, Vieira JCS, Vieira DS, Pereira GL, Chardulo LAL. Application of proteomic to investigate the different degrees of meat tenderness in Nellore breed. Journal of Proteomics. 2021. https://doi.org/10.1016/j.jprot.2021.104331
Coleman LW, Hickson RE, Schreurs NM, Martin NP, Kenyon PR, Lopez-Villalobos N, Morris ST. Carcass characteristics and meat quality of Hereford sired steers born to beef-cross-dairy and Angus breeding cows. Meat Science, v.121, p.403–408, 2016.https://doi.org/10.1016/j.meatsci.2016.07.011
Berry DP, Conroy S, Pabiou T, Cromie AR. Animal breeding strategies can improve meat quality attributes within entire populations. Meat Science, v. 132, p.6–18, 2017. https://doi.org/10.1016/j.meatsci.2017.04.019
O’sullivan MG, O’neill CM, Conroy S, Juiz MJ, Crofton EC, Berry DP. Sensory Consumer and Descriptive Analysis of Steaks from Beef Animals Selected from Tough and Tender Animal Genotypes: Genetic Meat Quality Traits Can Be Detected by Consumers. Foods, v. 10, n. 8, p. 1911, 2021. https://doi.org/10.3390/foods10081911
Nassu RT, Tullio RR, Berndt A, Francisco VC, Diesel TA, Alencar MM. Effect of the genetic group, production system and sex on the meat quality and sensory traits of beef from crossbred animals. Trop Anim Health Prod. v. 49, p.1289–1294, 2017. https://doi.org/10.1007/s11250-017-1327-3
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