Modeling Ruminant Digestion and MetabolismSpringer Science & Business Media, 31 may 1995 - 578 páginas Role of mminants in human food production; Whyan animal scientist would choose to model animal systems; Basic organization of this book; Modeling principIes and terminology; Classification of models; Objectives in modeling; The modeling process I objective statements, block diagrams, equation forms and parameterization; Steps in modeling; Setting the modeling objective; Block diagrams; Formulation of mathematical statements; Development of numerical inputs; The modeling process II - solution algorithms, model evaluations and parameter estimation; Model solution algorithms; Evaluation of management and research models; Evaluation and use of analytical models for parameter estimation; Decision support software; Animal energetic models; Thermodynamic concepts in nutrition; Historical development of bases for feeding system models; Energy requirements for maintenance and production; Equations used to estimate maintenance and costs of production; Components of maintenanace; Protein and amino acid models; Current protein and amino acid systems; Analytic models of amino aicd and protein metabolism; Dynamic modeling; Biology and algebraic models of ruminant digestion; The rumen microbes and their metabolism; Balance models of ruminant digestion; An analytical model of rumen digestion; Microbial growth elements; Biology and algebraic models of growth; Classical equations for growth; Nutritional models of growth; Concepts of lhe basic biology of growth used in mechanistic models; Biology of lactation; Decent evolution of feeding systems for lactating dairy cattle; An analytical model of nutrient transactions during lactation; Dynamic models of ruminant digestion; Early dynamic models; Current dynamic models; Dynamic models of ruminant adipose tissue metabolism; Evolution of steady-state balance model; Radioisotope tracer elemets; Dynamic models of ruminant mammary metabolism; Development of model inputs and initial parameters; Descriptions of a model of mammary gland metabolism; Dynamic models of liver and viscera metabolism; Overall structure and notation; Mechanistic, dynamic models of growth; Beef growth models; Sheep growth and metabolism model; Lactation Background on MOLL Y. CSL; The program MOLL Y. CSL; Evaluation and use of a growth and lactation model; Behavioral analyses; Sensitivity analyses; Bioeconomic analyse. |
Índice
Modeling principles and terminology | 9 |
22 Classification of models | 11 |
23 Objectives in modeling | 18 |
References | 25 |
The modeling process I objective statements block diagrams equation forms and parameterization | 27 |
33 Setting the modeling objective | 28 |
34 Block Diagrams | 30 |
35 Formulation of mathematical statements | 34 |
93 Nutritional models of growth | 256 |
94 Concepts of the basic biology of growth used in mechanistic models | 261 |
References | 263 |
Biology of lactation | 267 |
102 Recent evolution of feeding systems for lactating dairy cattle | 268 |
103 An analytical model of nutrient transactions during lactation | 278 |
References | 297 |
Dynamic models of ruminant digestion | 300 |
36 Development of numerical inputs | 47 |
References | 65 |
The modeling process II solution algorithms model evaluations and parameter estimation | 75 |
42 Model solution algorithms | 76 |
43 Evaluation of management and research models | 86 |
44 Evaluation and use of analytical models for parameter estimation | 103 |
45 Decision support software | 113 |
References | 115 |
Animal energetic models | 118 |
53 Historical development of bases for feeding system models | 124 |
References | 146 |
Energy requirements for maintenance and production | 148 |
62 Equations used to estimate maintenance and costs of production | 149 |
63 Components of maintenance | 162 |
References | 185 |
Protein and amino acid models | 189 |
72 Current protein and amino acid systems | 191 |
73 Analytic models of amino acid and protein metabolism | 195 |
74 Dynamic modeling | 204 |
References | 206 |
Biology and algebraic models of ruminant digestion | 211 |
83 Balance models of ruminant digestion | 223 |
84 An analytical model of rumen digestion | 231 |
85 Microbial growth elements | 242 |
References | 244 |
Biology and algebraic models of growth | 247 |
92 Classical equations for growth | 248 |
113 Current dynamic models | 313 |
References | 317 |
Dynamic models of ruminant adipose tissue metabolism | 319 |
122 Evolution of steadystate balance model | 321 |
123 Radioisotope tracer elements | 341 |
References | 368 |
Dynamic models of ruminant mammary metabolism | 370 |
132 Development of model inputs and initial parameters | 373 |
133 Descriptions of model of mammary gland metabolism | 387 |
409 | |
Dynamic models of liver and viscera metabolism | 413 |
142 Overall structure and notation | 414 |
References | 438 |
Mechanistic dynamic models of growth | 441 |
152 Beef growth models | 442 |
153 Sheep growth and metabolism model | 455 |
References | 465 |
Lactation | 469 |
162 Background on MOLLYCSL | 472 |
163 The program MOLLYCSL | 476 |
References | 516 |
Evaluation and use of a growth and lactation model | 519 |
173 Sensitivity analyses | 535 |
174 Bioeconomic analyses | 547 |
564 | |
567 | |
Términos y frases comunes
acetate activity additional adipose amino acids analyses animal application approach associated balance Baldwin blood body body weight calculated carbon cattle changes Chapter composition concentration concepts considered constant conversion Dairy defined described diet digestion discussed dynamic effects efficiency energy equations errors estimates et al evaluation example experimental experiments factors fatty acids feed fermentation Figure flux formulation function gain glucose growth heat included incorporated increased indicated inputs intake Journal lactation limited liver loss maintenance mammary measurements mechanistic metabolism metabolite microbial milk nitrogen nutrient nutritional objective observed organ oxidation parameter pathway pentose physiological pool predicted presented production protein protein synthesis range rates ration rats reaction reference relationships relative represented respectively responses result rumen ruminant Science sensitivity simulation specific studies substrate Table tion tissue uptake utilization values variables vary yields
Pasajes populares
Página 1 - I often say that when you can measure something and express it in numbers, you know something about it. But when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely, in your thoughts, progressed to the level of science, regardless of what the matter may be.
Referencias a este libro
Mathematical Modeling in Experimental Nutrition Andrew J. Clifford,Hans-Georg Müller Vista previa restringida - 1998 |
Modelling Nutrient Utilization in Farm Animals J. P. McNamara,J. France,D. E. Beever Vista previa restringida - 2000 |