<b>The impact of dietary dry yeast on lactation curves of primiparous and multiparous Saanen goats

  • Ludmila Couto Gomes Universidade Estadual de Maringá
  • Claudete Regina Alcalde Universidade Estadual de Maringá
  • Rodrigo de Souza Universidade Estadual de Maringá
  • Bruna Susan de Lábio Molina Universidade Estadual de Maringá
  • Daniela Andressa de Lino Lourenço Universidade Estadual de Maringá
  • Elias Nunes Martins Universidade Estadual de Maringá
Keywords: bayesian methodology, milk productivity, Wood’s nonlinear model, Saccharomyces cerevisiae

Abstract


Twenty-four Saanen goats (fifteen multiparous and nine primiparous) during their lactation period were used, from the kidding until the 200th day of lactation; and were distributed in a completely randomized design and in a factorial arrangement (3 diets x 2 parity orders). The diets were composed of either soybean meal (SBM), soybean meal plus inactive dry yeast (SMDY) or inactive dry yeast (DY) used as the protein source. The analyses of milk yield, body weight and dry matter intake (DMI) were made through the Bayesian methodology. For construct the lactation curves were used the Wood’s nonlinear model. The inclusion of inactive dry yeast in the diets reduced the rate of yield increase until the lactation peak for primiparous goats, but for multiparous goats the reverse was noted. The SMDY diet reduced the rate of yield decline after peak for primiparous goats, whereas for multiparous goats the inclusion of inactive dry yeast in the diet increased the decline of the rate of yield during this period. It was observed that inactive dry yeast can be used to replace soybean meal in diets used for multiparous Saanen goats.

 

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Author Biography

Ludmila Couto Gomes, Universidade Estadual de Maringá

Zootecnia, com ênfase em Produção Animal, atuando principalmente nos seguintes temas: caprinocultura, sistemas de produção animal, e agroecologia aplicada a produção animal. 

References

AMORIM, H. V.; LOPES, M. L. Tecnologia sobre processamento de leveduras vivas, inativas e seus derivados: conceitos básicos. Congresso sobre uso de levedura na alimentação animal, 2009, Campinas. Colégio Brasileiro de Nutrição Animal. p.5-19.

AOAC. Official methods of analysis. 16th. Gaithersburg, USA: Association of Official Analytical Chemists, 1998.

ARAÚJO, F. F.; SILVA, C. C. Leveduras hidrolisadas e inativas. Congresso internacional sobre o uso de levedura na alimentação animal, 2009, Campinas. p.37-44.

CHANG, Y. M.; REKAYA, R.; GIANOLA, D.; THOMAS, D. L. Genetic variation of lactation curves in dairy sheep: A Bayesian analysis of Wood's function. Livestock Production Science, v. 71, n. 2-3, p. 241-251, 2001.

GOERING, H. K.; VAN SOEST, P. J. Forage fiber analyses (apparatus, reagents, procedures, and some applications). Washington, DC: USDA: Agriculture Handbook, 1970.

GRAVERT, H. O. Dairy cattle production. Nova York: Elsevier Science, 1987.

HEIDELBERGER, P.; WELCH, P. D. Simulation run length control in the presence of animal transient. Operations Research, v. 31, n. 6, p. 1109-1144, 1983.

NRC. Nutrient Requirements of Dairy Cattle. 7th. National Academies Press, 2001.

NRC. Nutrient Requirements of Small Ruminants. Washington, D.C.: National Academies Press, 2007.

R DEVELOPMENT CORE TEAM. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing 2009.

RODRIGUES, L.; SPINA, J. R.; TEIXEIRA, I. A. M. A.; DIAS, Â. C.; SANCHES, A.; RESENDE, K. T. D. Produção, composição do leite e exigências nutricionais de cabras Saanen em diferentes ordens de lactação. Acta Scientiarum. Animal Sciences, v. 28, n. 4, p. 447-452, 2006.

SILVA, F. F.; MUNIZ, J. A.; AQUINO, L. H.; SÁFADI, T. Abordagem Bayesiana da curva de lactação de cabras Saanen de primeira e segunda ordem de parto. Pesquisa Agropecuária Brasileira, v. 40, n. 1, p. 27-33, 2005.

SNIFFEN, C.; O'CONNOR, J.; VAN SOEST, P.; FOX, D.; RUSSELL, J. A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability. Journal of Animal Science, v. 70, n. 11, p. 3562-3577, 1992.

SPIEGELHALTER, D.; THOMAS, A.; BEST, N.; GILKS, W. BUGS 0.5: Bayesian inference using Gibbs sampling manual (version ii). Cambridge, UK: MRC Biostatistics Unit, Institute of Public Health, 1996.

TAKMA, C.; AKBAŞ, Y.; TASKIN, T. Modeling lactation curves of Turkish Saanen and Bornova goats. Asian Journal of Animal and Veterinary Advances, v. 4, n. 3, p. 122-129, 2009.

VAN SOEST, P. J.; ROBERTSON, J. B.; LEWIS, B. A. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science, v. 74, n. 10, p. 3583-3597, 1991.

WOOD, P. D. P. Algebraic model of the lactation curve in cattle. Nature, v. 206, p. 164-165, 1967.

ZAMBOM, M. A.; ALCALDE, C. R.; MARTINS, E. N.; SANTOS, G. T. D.; MACEDO, F. D. A. F. D.; HORST, J. A.; VEIGA, D. R. D. Curva de lactação e qualidade do leite de cabras Saanen recebendo rações com diferentes relações volumoso: concentrado. Revista Brasileira de Zootecnia, v. 34, n. 6, p. 2515-2521, 2005.

Published
2014-09-24
How to Cite
Gomes, L. C., Alcalde, C. R., Souza, R. de, Molina, B. S. de L., Lourenço, D. A. de L., & Martins, E. N. (2014). <b&gt;The impact of dietary dry yeast on lactation curves of primiparous and multiparous Saanen goats. Acta Scientiarum. Animal Sciences, 36(4), 405-411. https://doi.org/10.4025/actascianimsci.v36i4.24446
Section
Animal Production

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