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aNDF, NDFd, iNDF, ADL and kd: What have we learned?

aNDF, NDFd, iNDF, ADL and kd: What have we learned?

aNDF, NDFd, iNDF, ADL and kd: What have we learned?

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Take Home Messages<br />

� Description of NDF digestion <strong>and</strong> kinetics <strong>have</strong> been often biased <strong>and</strong> limited by<br />

laboratory <strong>and</strong> mathematical errors. A more accurate <strong>and</strong> precise intrinsic <strong>kd</strong><br />

estimation is today possible with the tools now available.<br />

� The ―anchor points‖ (lag <strong>and</strong> <strong>iNDF</strong>) are confirmed to be the most important<br />

factors to prevent bias. Lag can be easily minimized within laboratory. Estimation<br />

of true <strong>iNDF</strong> can be accomplished either by long in-situ or in-vitro digestion using<br />

small pore size bags o filters, respectively.<br />

� In the near future calculation of <strong>iNDF</strong> using forage group-specific equations will<br />

be possible, <strong>and</strong> will need to be validated for environment <strong>and</strong> climate<br />

differences. Rates of digestion <strong>and</strong> pool sizes will then change accordingly.<br />

� Use of smaller pore size filters is highly recommended for NDF <strong>and</strong> <strong>ADL</strong><br />

procedures to avoid loss of fine particles <strong>and</strong> biased calculations of <strong>NDFd</strong>, <strong>kd</strong>’s<br />

<strong>and</strong> <strong>iNDF</strong>.<br />

� With the exception of legumes, phenolic acids, type of lignin <strong>and</strong> their different<br />

chemical linkages to cell wall carbohydrates explain almost all of the variation in<br />

NDF rate <strong>and</strong> extent of digestion both in-vitro <strong>and</strong> in-vivo. These factors vary<br />

ho<strong>we</strong>ver by forage group <strong>and</strong> maturity.<br />

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Bibby, J. <strong>and</strong> H. Toutenburg. 1977. Prediction <strong>and</strong> improved estimation in Linear Models. Ch.1.<br />

John Wiley <strong>and</strong> Sons, New York.<br />

Besle J. M., A. Cornu <strong>and</strong> J.P. Jouany. 1994. Role of structural phenylpropanoids in forage cell<br />

wall digestion. J. Sci. Food Agric 64 171-190.<br />

Casler, M.D. 2001. Breeding forage crops for increased nutritional value. Advances in<br />

Agronomy 71:51-107.<br />

Ch<strong>and</strong>ler, J.A., W.J. Je<strong>we</strong>ll, J. M. Gossett, P. J. Van Soest, <strong>and</strong> J. B. Robertson. 1980.<br />

Predicting methane fermentation biodegradability. In: J. Biotech. <strong>and</strong> Bioengineering<br />

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Conrad, H. R., W. P. Weiss, W. O. Odwongo, <strong>and</strong> W. L. Shockey. 1984. Estimating net energy<br />

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Karoline—description. In: E. Kebreab, J. Dijkstra, A. Bannink, W.J.J. Gerrits <strong>and</strong> J.<br />

France, Editors, Nutrient digestion <strong>and</strong> Utilization in Farm Animals—Modelling<br />

Approaches, CABI Publishing, Wallingford (2005), pp. 383–407.<br />

Ellis, W. C., Matis, J. H., Hill, T. M. <strong>and</strong> M. R. Murphy. 1994. Methodology for estimating<br />

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Ed G C Fahey Jnr., American Society of Agronomy: Crop Science Society of America:<br />

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Ellis, W. C., D.P. Poppi, J.H. Matis, H. Lippke, T.M. Hill <strong>and</strong> F.M. Rouquette. 1999. Dietarydigestive-metabolic<br />

interactions determining the nutritive potential of ruminant diets. In:<br />

H.J.G. Jung <strong>and</strong> G.C. Fahey Jr., Editors, Nutritional Ecology of Herbivores, American<br />

Society of Animal Science, pp. 423-481.<br />

Ellis, W. C., M. Mahlooji <strong>and</strong> J.H. Matis. 2005. Models for estimating parameters of neutral<br />

detergent fiber digestion by ruminal microorganisms. J. Anim. Sci. 83:1591-1601.<br />

Ellis, W. C., D. P. Poppi, J. H. Matis, H. Lippke, T. M. Hill, <strong>and</strong> F. M. Rouquette, Jr. 1999.<br />

Dietary-Digestive-Metabolic Interactions Determining the Nutritive Potential of Ruminant

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