Description Usage Arguments Value

View source: R/carcass.model.r

**Model description.**

The model is defined by 20 equations, with a total of 19 parameters for the described process.

1 2 3 | ```
carcass.model(protcmax, protncmax, alphac, alphanc,
gammac, gammanc, lip0, lipc1, lipnc1, beta, delta, k,
b0c, b1c, b0nc, b1nc, c0, c1, cem, duration)
``` |

`protcmax` |
: amounts of protein in the carcass of the adult animal (kg) |

`protncmax` |
: amounts of protein in the 5th district of the adult animal (kg) |

`alphac` |
: maximum protein synthesis rate in the frame (excluding basal metabolism) (j-1) |

`alphanc` |
: maximum rate of protein synthesis in the 5th district (except basal metabolism) (j-1) |

`gammac` |
: Maximum rate of protein degradation in the frame (excluding basal metabolism) (j-1) |

`gammanc` |
: maximum rate of protein degradation in the 5th district (except basal metabolism) (j-1) |

`lip0` |
: maximum lipid concentration to the theoretical physiological age (percent) |

`lipc1` |
: increase coefficient of the maximum lipid concentration with the physiological age of the carcase (percent) |

`lipnc1` |
: increase coefficient of the highest lipid concentration with physiological age area in the 5th (percent) |

`beta` |
: lipid synthesis rate (j-1) |

`delta` |
: lipid degradation rate (d-1) |

`k` |
: Parameter coefficient between the half-saturation of the Michaelis-Menten equation of the metabolic weight (MJ.kg^0.75) |

`b0c` |
: coefficient of the allometric equation linking mass and lipid-protein carcass |

`b1c` |
: exponent allometric equation linking mass and defatted protein carcass |

`b0nc` |
: coefficient of the allometric equation linking mass and lipid-protein 5th district |

`b1nc` |
: exponent allometric equation linking mass and lipid-protein 5th district |

`c0` |
: coefficient of the allometric equation between live weight and live weight empty |

`c1` |
: exponent allometric equation linking body weight and live weight empty |

`cem` |
: |

`duration` |
: duration of simulation |

data.frame with ProtC,LipC,ProtNC,LipNC,PV

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