Models of ruminal microbial growth as a function of nutrient supply

Authors

  • André Soares de Oliveira Universidade Federal de Mato Grosso, Campus Sinop
  • Rogério de Paula Lana Universidade Federal de Viçosa
  • Márcia Rodrigues Carvalho Oliveira Universidade Federal de Mato Grosso, Campus Sinop

Abstract

Linear (linear-plateau, quadratic, quadratic-plateau, square root) and non-linear (exponential and Michaelis-Menten) models to describe the ruminal microbial growth as a function of sucrose levels were evaluated. Is was used a database of 76 observations of microbial growth in roll tubes (mix of bacterial) containing final concentrations of 0.0; 0.375; 0.75; 1.50; 3.0; 6.0; 12 and 24g/L of sucrose. The microbial growth was evaluated by measuring optical density (OD - 600nm) at 0; 6; 12; 18 and 24 hours of fermentation. The evaluation of linear regression parameters of predicted and observed values indicated adequacy of all models in the prediction of microbial growth. The partition of the mean square prediction error did not allow identifying differences in relation to prediction quality of the models. However, the marginal growth as a function of sucrose supply was inadequate to models linear-plateau and quadratic (in low sucrose levels). The square root, Mitscherlich and Michaelis-Menten models can be used to describe biological responses to nutrients. However, differences are observed in estimates of substrates efficiencies, which implies differences in the recommendations of optimum levels of nutrients. In this sense, the choice of these models can be modulated by the level of nutrient supply desired.

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Author Biography

André Soares de Oliveira, Universidade Federal de Mato Grosso, Campus Sinop

Instituto de Ciências Agrárias e Ambientais

Published

2012-06-20

Issue

Section

Animal Nutrition