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Aerobic deterioration of grass silage: the need to couple models and experiments
Author(s) -
RUXTON G. D.,
GIBSON G. J.
Publication year - 1994
Publication title -
grass and forage science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.716
H-Index - 56
eISSN - 1365-2494
pISSN - 0142-5242
DOI - 10.1111/j.1365-2494.1994.tb02023.x
Subject(s) - silage , yeast , measure (data warehouse) , sensitivity (control systems) , stability (learning theory) , biological system , computer science , environmental science , econometrics , mathematics , biology , food science , biochemistry , engineering , data mining , electronic engineering , machine learning
A mathematical model of the aerobic stability of grass silage is presented. The model is shown to predict as well as more complex models previously published. Sensitivity analysis performed on model parameters suggests that current understanding of the temperature dependence of yeast growth needs to be advanced in order to produce more accurate models of deterioration. Inhibition of yeast growth by organic acids is identified as a critical process worthy of further investigation. We discuss how model validation experiments must identify different yeast species and track their growth separately. Such experiments should also attempt to minimize or measure heat losses.