Estimating the extent of degradation of ruminant feeds from a description of their gas production profiles observed in vitro:: comparison of models

被引:59
作者
Dhanoa, MS
Lopez, S
Dijkstra, J
Davies, DR
Sanderson, R
Williams, BA
Sileshi, Z
France, J
机构
[1] Univ Reading, Dept Agr, Reading RG6 6AT, Berks, England
[2] Inst Agr Res, Addis Ababa, Ethiopia
[3] Agr Univ Wageningen, Wageningen Inst Anim Sci, Anim Nutr Grp, NL-6709 PG Wageningen, Netherlands
[4] Univ Leon, Dept Anim Prod, Leon 24007, Spain
[5] Inst Grassland & Environm Res, Aberystwyth SY23 3EB, Dyfed, Wales
关键词
rumen; mathematical models; gas production; feed degradation;
D O I
10.1017/S0007114500000179
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
An evaluation of general models that describe gas production profiles is presented. The models are derived from first principles by considering a simple three-pool scheme and permit the extent of ruminal degradation to be calculated, as described in the companion paper. The models evaluated were the generalized Mitscherlich, simple Mitscherlich, generalized Michaelis-Menten, simple Michaelis-Menten, Gompertz, and logistic. Five sets of gas production data consisting of 216 curves, obtained using a wide range of feeds (including straw, hay, silage, grain and various byproducts), were analysed to study the performance of these gas production models. Application of the non-sigmoidal models (simple Mitscherlich and Michaelis-Menten) to the data resulted in convergence problems and these models were found to be inadequate in many cases. Based on results of a pairwise comparison between models (variance ratio test), ranking of residual mean squares, lack-of-fit test, and of analyses of residuals, the generalized Mitscherlich and the generalized Michaelis-Menten models seemed particularly suited because of their flexibility to encompass sigmoidal and non-sigmoidal shapes of gas production profiles, whether symmetrical or not.
引用
收藏
页码:131 / 142
页数:12
相关论文
共 40 条
[1]  
Agricultural Research and Food Council Technical Committee on Responses to Nutrients, 1992, Nutrition Abstracts and Reviews (Series B), VVolume 62, P787
[2]   MODELING GAS-PRODUCTION KINETICS OF GRASS SILAGES INCUBATED WITH BUFFERED RUMINAL FLUID [J].
BEUVINK, JMW ;
KOGUT, J .
JOURNAL OF ANIMAL SCIENCE, 1993, 71 (04) :1041-1046
[3]  
BEUVINK JMW, 1992, APPL MICROBIOL BIOT, V37, P505
[4]  
Bibby J., 1977, Prediction and Improved Estimation in Linear Models
[5]   COMPARISON OF INVITRO GAS-PRODUCTION AND NYLON BAG DEGRADABILITY OF ROUGHAGES IN PREDICTING FEED-INTAKE IN CATTLE [J].
BLUMMEL, M ;
ORSKOV, ER .
ANIMAL FEED SCIENCE AND TECHNOLOGY, 1993, 40 (2-3) :109-119
[6]   The relationship between in vitro gas production, in vitro microbial biomass yield and N-15 incorporation and its implications for the prediction of voluntary feed intake of roughages [J].
Blummel, M ;
Steingab, H ;
Becker, K .
BRITISH JOURNAL OF NUTRITION, 1997, 77 (06) :911-921
[7]   Influence of rumen fluid and substrate concentration on fermentation kinetics measured with a fully automated time related gas production apparatus [J].
Cone, JW ;
vanGelder, AH ;
Visscher, GJW ;
Oudshoorn, L .
ANIMAL FEED SCIENCE AND TECHNOLOGY, 1996, 61 (1-4) :113-128
[8]   Different mathematical approaches to estimating microbial protein supply in ruminants [J].
Dijkstra, J ;
France, J ;
Davies, DR .
JOURNAL OF DAIRY SCIENCE, 1998, 81 (12) :3370-3384
[9]  
DIJKSTRA J, 1999, P BRIT SOC ANIMAL SC, P38
[10]  
Draper N. R., 1966, APPL REGRESSION ANAL