Growth curves of broilers fed different nutritional relationships using the Gompertz model

  • Luís Filipe Villas Bôas de Freitas Universidade Estadual Paulista “Júlio de Mesquita Filho”
  • Antonio Gilberto Bertechini Universidade Federal de Lavras
  • Alisson Hélio Sampaio Clemente Universidade Federal de Lavras https://orcid.org/0000-0002-2955-6980
  • Felipe Augusto Fernandes Universidade Federal de Lavras
  • Diego Alexsander Bauth Universidade Federal de Lavras
  • Tales Jesus Fernandes Universidade Federal de Lavras
Palavras-chave: calcium pidolate; Gallus domesticus; growth rate; lysine; nonlinear models; nutritional density.

Resumo

The study aimed to evaluate performance and growth curves of broilers fed different nutritional relations. A total of 1,440 Cobb-500 male day-old chicks were assigned to eight treatments in a 2 x 2 x 2 factorial arrangement with six replicates of 30 birds each. The main factors were nutritional density (control and high), lysine source (HCl and sulfate), and calcium pidolate (presence and absence). Analyses were made for body weight gain (BWG), and feed conversion rate (FCR) at 21, and 42 days of age. The growth curves were adjusted by weighing a bird per plot every three days. Data for BWG were tested by ANOVA to evaluate the effects of treatments and their interactions at 5% significance, and the Gompertz model was adjusted by NLS. Birds fed a high nutritional density had higher BWG and lower FCR. Calcium pidolate and different sources of lysine did not influence the FCR of broilers, however a triple interaction was evidenced for BWG at 1 to 42 days of age. The day with maximum gain adjusted by Gompertz of all treatments was at the 32nd day of age and the maximum weight (A) was around 5.85 kg.

Downloads

Não há dados estatísticos.

Referências

Aggrey, S. E. (2002). Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poultry Science, 81(12), 1782-1788. DOI: https://doi.org/10.1093/ps/81.12.1782.

Baker, D. H. (2009). Advances in protein–amino acid nutrition of poultry. Amino Acids, 37(1), 29-41. DOI: https://doi.org/10.1007/s00726-008-0198-3

Bizeray, D., Faure, J. M., & Leterrier, C. (2004). Faire marcher le poulet: pourquoi et comment? INRA Productions Animales, 17(1), 45-57. DOI: https://doi.org/10.20870/productions-animales.2004.17.1.3552

Carvalho Filho, D. U., Figueiredo, A. V., Lima, D. C. P., Silva, M. C. C., Costa, E. M. S., & Lima, V. B. S. (2014). Dietas com diferentes densidades nutricionais para frangos de corte mantidos em ambientes com e sem nebulização. Revista Brasileira de Saúde e Produção Animal, 15(2), 297-307.

Cobb Guidelines. (2018). Cobb 500 Broiler performance and nutrition supplement. Retrieved from https://www.academia.edu/38382168/Cobb_500_Broiler_Performance_and_Nutrition_Supplement

Demuner, L. F., Suckeveris, D., Muñoz, J. A., Caetano, V. C., Lima, C. G. D., Faria filho, D. E. D., & Faria, D. E. D. (2017). Adjustment of growth models in broiler chickens. Pesquisa Agropecuária Brasileira, 52(12), 1241-1252. DOI: https://doi.org/10.1590/S0100-204X2017001200013

Eleroğlu, H., Yildirim, A., Canikli, A., Duman, M., & Bircan, H. (2018). Analysis of growth curves of Guinea fowl (Numida meleagris) fed diets containing dry oregano (Origanum vulgare L.) in an organic system. International Journal of Agriculture and Natural Resources, 45(2), 99-108. DOI: http://dx.doi.org/10.7764/rcia.v45i2.1833

Fernandes, F. A., Fernandes, T. J., Pereira, A. A., Meirelles, S. L. C., & Costa, A. C. (2019). Growth curves of meat-producing mammals by von Bertalanffy’s model. Pesquisa Agropecuária Brasileira, 54, e01162. DOI: https://doi.org/10.1590/S1678-3921

Fernandes, T. J., Muniz, J. A., Pereira, A. A., Muniz, F. R., & Muianga, C. A. (2015). Parameterization effects in nonlinear models to describe growth curves. Acta Scientiarum. Technology, 37(4), 397-402. DOI: https://doi.org/10.4025/actascitechnol.v37i4.27855

Gompertz, B. (1825). On the nature of the function expressive of the law of human mortality and on a new method of determining the value of life contingencies. Philosophical Transactions of the royal society, 115, 513-585. DOI: https://doi.org/10.1098/rspl.1815.0271

Henn, J. D., Bockor, L., Ribeiro, A. M. L., Coldebella, A., & Kessler, A. D. M. (2014). Growth and deposition of body components of intermediate and high performance broilers. Brazilian Journal of Poultry Science, 16(3), 319-328. DOI: https://doi.org/10.1590/1516-635x1603319-328

Jackson, M. (2001). A closer look at lysine sources: L-lysine sulfate plus fermentation co-products. Feed International, 22(5), 18-20.

Joshi, N. R., Desai, D. N., Ranade, A. S., & Avari, P. E. (2019). Effect of calcium pidolate on egg production and egg quality during last phase of production cycle with reducing levels of inorganic calcium. International Journal of Livestock Research, 9(1),125-133. DOI: https://doi.org/10.5455/ijlr.20180614071543

Mischan, M. M., & Pinho, S. Z. (2014). Modelos não lineares: Funções assintóticas de crescimento. São Paulo, SP: Cultura Acadêmica.

Muniz, J. A., Nascimento, M. S., & Fernandes, T. J. (2017). Nonlinear models for description of cacao fruit growth with assumption violations. Revista Caatinga, 30(1), 250-257. DOI: https://doi.org/10.1590/1983-21252017v30n128rc

Neme, R., Sakomura, N. K., Fukayama, E. H., Freitas, E. R., Fialho, F. B., Resende, K.T., & Fernandez, J. B. K. (2006). Curvas de crescimento e deposição dos componentes corporais de aves de postura de diferentes linhagens. Revista Brasileira Zootecnia, 35(3 suppl.), 1091-1100. DOI: https://doi.org/10.1590/S1516-35982006000400021

Nogueira, B. R. F., Reis, M. P., Carvalho, A. C., Mendonza, E. A. C., Oliveira, B. O., Silva, V. A., & Bertechini, A. G. B. (2019). Performance, growth curves and carcass yield of four strains of broiler chicken. Brazilian Journal of Poultry Science, 21(04), 001-008. DOI: https://doi.org/10.1590/1806-9061-2018-0866

Price, R. (2012). Calcium product promises fewer downgrades. Poultry World, 166(4), 39.

R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Recovered from https://www.R-project.org/

Rostagno, H. S., Albino, L. F. T., Hannas, M. I., Donzele, J. L., Sakomura, N. K., Perazzo, F. G., & Brito, C. O. (2017). Tabelas brasileiras para aves e suínos: composição de alimentos e exigências nutricionais. Viçosa, MG: UFV.

Sakomura N. K. & Rostagno, H. S. (2016). Métodos de pesquisa em nutricão de monogástricos. Jaboticabal, SP: Funep.

Sakomura N. K., Longo F., Oviedo-Rondon, E. O., Boa-Viagem, C., & Ferraudo, A. S. (2005). Modeling energy utilization and growth parameter description for broiler chickens. Poultry Science, 84(9), 1363-1369. Doi: https://doi.org/10.1093/ps/84.9.1363

Santos, A., Sakomura, N. K., Freitas, E. R., Fortes, C. M., Carrilho, E. N. V. M., & Fernandez, J. B. K. (2005). Estudos do crescimento, desempenho, rendimento de carcaça e qualidade de carne de três linhagens de frangos de corte. Revista Brasileira Zootecnia, 34(5), 1589-1598. DOI: https://doi.org/10.1590/S1516-35982005000500020

Silva, N. A. M., Lima R. R., Silva, F. F. & Muniz, J. A. (2010). Modelo hierárquico Bayesiano aplicado na avaliação genética de curvas de crescimento de bovinos de corte. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 62(2), 647-654. Doi: https://doi.org/10.1590/S0102-09352010000200022

Smiricky-Tjardes, M. R., Mavromichalis, I., Albin, D. M., Wubben, J. E., Rademacher, M., & Gabert, V. M. (2004). Bioefficacy of L-lysine sulfate compared with feed-grade L-lysine⋅HCl in young pigs. Journal of Animal Science, 82(9), 2610-2614. DOI: https://doi.org/10.2527/2004.8292610x

Vargas, L., Sakomura, N. K., Leme, B. B., Antayhua, F., Reis, M., Gous, R., & Fisher, C. (2020). A description of the potential growth and body composition of two commercial broiler strains. British Poultry Science, 61(3), 266-273. DOI: https://doi.org/10.1080/00071668.2020.1716300.

Wang, Z. R., You, J. M., Qiao, S. Y., & Wang, X. (2007). Bioefficacy of L-lysine·H2SO4 relative to L-lysine·HCl in broiler chickens, estimated by slope-ratio model. British Poultry Science, 48(3), 381-388. DOI: https://doi.org/10.1080/00071660701370517

Wu, G., Bazer, F. W., Burghardt, R. C., Johnson, G. A., Kim, S. W., Knabe, D. A., … Spencer, T. E. (2011). Proline and hydroxyproline metabolism: implications for animal and human nutrition. Amino Acids, 40, 1053-1063. DOI: https://doi.org/10.1007/s00726-010-0715-Z

Publicado
2022-12-08
Como Citar
Freitas, L. F. V. B. de, Bertechini, A. G., Clemente, A. H. S., Fernandes, F. A., Bauth, D. A., & Fernandes, T. J. (2022). Growth curves of broilers fed different nutritional relationships using the Gompertz model. Acta Scientiarum. Animal Sciences, 45(1), e58287. https://doi.org/10.4025/actascianimsci.v45i1.58287
Seção
Nutrição de Não-Ruminantes

0.9
2019CiteScore
 
 
29th percentile
Powered by  Scopus