Hostname: page-component-77c89778f8-gvh9x Total loading time: 0 Render date: 2024-07-20T04:32:06.756Z Has data issue: false hasContentIssue false

Substitution of crude cell wall for neutral detergent fibre in the equations of the Cornell Net Carbohydrate and Protein System that predict carbohydrate fractions: application to sunflower (Helianthus annuus L.)

Published online by Cambridge University Press:  01 July 2008

M. A. A. Queiroz
Affiliation:
Escola Superior de Agricultura ‘Luiz de Queiroz’, Universidade de São Paulo, Piracicaba, SP, Brazil
R. S. Fukushima*
Affiliation:
Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Av. Duque de Caxias-Norte, 225, CEP: 13635-900, Pirassununga, SP, Brazil
C. A. Gomide
Affiliation:
Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, SP, Brazil
M. R. Braga
Affiliation:
Instituto de Botânica, Secretaria de Estado do Meio Ambiente, São Paulo, SP, Brazil
*
Get access

Abstract

Prediction of carbohydrate fractions using equations from the Cornell Net Carbohydrate and Protein System (CNCPS) is a valuable tool to assess the nutritional value of forages. In this paper, these carbohydrate fractions were predicted using data from three sunflower (Helianthus annuus L.) cultivars, fresh or as silage. The CNCPS equations for fractions B2 and C include measurement of ash and protein-free neutral detergent fibre (NDF) as one of their components. However, NDF lacks pectin and other non-starch polysaccharides that are found in the cell wall (CW) matrix, so this work compared the use of a crude CW preparation instead of NDF in the CNCPS equations. There were no differences in the estimates of fractions B1 and C when CW replaced NDF; however, there were differences in fractions A and B2. Some of the CNCPS equations could be simplified when using CW instead of NDF. Notably, lignin could be expressed as a proportion of DM, rather than on the basis of ash and protein-free NDF, when predicting CNCPS fraction C. The CNCPS fraction B1 (starch + pectin) values were lower than pectin determined through wet chemistry. This finding, along with the results obtained by the substitution of CW for NDF in the CNCPS equations, suggests that pectin was not part of fraction B1 but present in fraction A. We suggest that pectin and other non-starch polysaccharides that are dissolved by the neutral detergent solution be allocated to a specific fraction (B2) and that another fraction (B3) be adopted for the digestible cell wall carbohydrates.

Type
Full Paper
Copyright
Copyright © The Animal Consortium 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Association of Official Analytical Chemists 1990. Official methods of analysis, 15th edition. AOAC, Washington, DC, USA.Google Scholar
Chandler, JA, Jewell, WJ, Gossett, JM, Van Soest, PJ, Robertson, JB 1980. Predicting methane fermentation biodegradability. In 10th Biotechnology and Bioengineering Symposium, pp 93107. John Wiley & Sons, New York, NY.Google Scholar
Dubois, M, Gilles, KA, Hamilton, JK, Rebers, PA, Smith, F 1956. Colorimetric method for determination of sugars and related substances. Analytical Chemistry 28, 350354.CrossRefGoogle Scholar
Evangelista, AR, Lima, JA 2001. Sunflower – cultivation and production of silage (in Girassol – cultivo e produção de silagem). A Lavoura 104, 2233.Google Scholar
Filisetti-Cozzi, TMMC, Carpita, NC 1991. Measurement of uronic acids without interference from neutral sugars. Analytical Biochemistry 197, 157162.CrossRefGoogle ScholarPubMed
Fox DG and Tedeschi LO 2002. Application of physically effective fiber in diets for feedlot cattle. Proceedings of the Plains Nutrition Conference, p. 67.Google Scholar
Fox, DG, Sniffen, CJ, O’Connor, JD, Russell, JB, Van Soest, PJ 1992. A net carbohydrate and protein system for evaluating cattle diets: III. Cattle requirements and diet adequacy. Journal of Animal Science 70, 35783596.CrossRefGoogle ScholarPubMed
Fox, DG, Tedeschi, LO, Tylutki, TP, Russell, JB, Van Amburgh, ME, Chase, LE, Pell, AN, Overton, TR 2004. The Cornell Net Carbohydrate and Protein System model for evaluating herd nutrition and nutrient excretion. Animal Feed Science and Technology 112, 2978.CrossRefGoogle Scholar
Fukushima, RS, Hatfield, RD 2004. Comparison of the acetyl bromide spectrophotometric method with other analytical lignin methods for determining lignin concentration in forage samples. Journal of Agricultural and Food Chemistry 52, 37133720.CrossRefGoogle ScholarPubMed
Hall, MB 2003. Challenges with nonfiber carbohydrate methods. Journal of Animal Science 81, 32263232.CrossRefGoogle ScholarPubMed
Hall, MB, Hoover, WH, Jennings, JP, Webster, TKM 1999. A method for partitioning neutral detergent-soluble carbohydrates. Journal of the Science of Food and Agriculture 79, 20792086.3.0.CO;2-Z>CrossRefGoogle Scholar
Hendrix, DL 1993. Rapid extraction and analysis of nonstructural carbohydrate in plant tissues. Crop Science 33, 13061311.CrossRefGoogle Scholar
Lanzas, C, Sniffen, CJ, Seo, S, Tedeschi, LO, Fox, DG 2007. A revised CNCPS feed carbohydrate fractionation scheme for formulating rations for ruminants. Animal Feed Science and Technology 136, 167190.CrossRefGoogle Scholar
Malafaia, PAM, Valadares Filho, SC, Vieira, RAM, Coelho da Silva, JF, Pereira, JC 1998. Determination of carbohydrate fractions that constitute the total carbohydrates and ruminal kinetics of neutral detergent fiber in some ruminant feeds (in Determinação das frações que constituem os carboidratos totais e cinética ruminal da fibra em detergente neutro de alguns alimentos para ruminantes). Revista Brasileira de Zootecnia 27, 790796.Google Scholar
Mertens, DR 2002. Gravimetric determination of amylase-treated neutral detergent fiber in feeds with refluxing beakers or crucibles: Collaborative study. Journal of the Association of Official Analytical Chemists International 85, 12171240.Google ScholarPubMed
National Research Council 2000. Nutrient requirements of beef cattle, 7th edition (updated). NRC, Washington, DC, USA.Google Scholar
National Research Council 2001. Nutrient requirements of dairy cattle, 7th edition. NRC, Washington, DC, USA.Google Scholar
Pereira JRA and Rossi P Jr 1994. Practical manual of feed nutritional evaluation (in Manual prático de avaliação nutricional de alimentos). Editora Fealq, Piracicaba, Brazil.Google Scholar
Ribeiro, KG, Pereira, OG, Valadares Filho, SC, Garcia, R, Cabral, LS 2001. Characterization of the protein and the carbohydrate fractions, and the respective degradation rates of Tifton 85 bermudagrass hay at different regrowth ages (in Caracterização da frações que constituem as proteínas e os carboidratos e respectivas de digestão do feno de capim Tifton 85 de diferentes idades de rebrota). Revista Brasileira de Zootecnia 30, 589595.CrossRefGoogle Scholar
Russell, JB, O’Connor, JD, Fox, DG, Van Soest, PJ, Sniffen, CJ 1992. A net carbohydrate and protein system for evaluating cattle diets: I. Rumen fermentation. Journal of Animal Science 70, 35513561.CrossRefGoogle Scholar
Sniffen, CJ, O’Connor, JD, Van Soest, PJ, Fox, DG, Russell, JB 1992. A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability. Journal of Animal Science 70, 35623577.CrossRefGoogle ScholarPubMed
Traxler, MJ, Fox, DG, Van Soest, PJ, Pell, AN, Lascano, CE, Lanna, DPD, Moore, JE, Lana, RP, Vélez, M, Flores, A 1998. Predicting forage indigestible NDF from lignin concentration. Journal of Animal Science 76, 14691480.CrossRefGoogle ScholarPubMed
Tylutki, TP, Fox, DG, Durbal, VM, Tedeschi, LO, Russell, JB, Van Amburgh, ME, Overton, TR, Chase, LE, Pell, AN 2007. Cornell Net Carbohydrate and Protein System: a model for precision feeding of dairy cattle. Animal Feed Science and Technology. doi:10.1016/j.anifeedsci.2007.05.010.Google Scholar
Udén, P, Robinson, PH, Wiseman, J 2005. Use of detergent system terminology and criteria for submission of manuscripts on new, or revised, analytical methods as well as descriptive information on feed analysis and/or variability. Animal Feed Science and Technology 118, 181186.CrossRefGoogle Scholar
Van Soest, PJ 1967a. Use of detergents in the analysis of fibrous foods. IV. Determination of plant cell wall constituents. Journal of the Association of Official Analytical Chemists 50, 5055.Google Scholar
Van Soest, PJ 1967b. Development of a comprehensive system of feed analyses and its application to forages. Journal of Animal Science 26, 119128.CrossRefGoogle Scholar
Van Soest, PJ 1994. Nutritional Ecology of the Ruminant, 2nd edition. Cornell University Press, Ithaca, NY, USA.CrossRefGoogle Scholar
Van Soest, PJ, Roberts, JB, Lewis, BA 1991. Methods for dietary fibre, neutral detergent fibre and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science 74, 35833597.CrossRefGoogle ScholarPubMed
Van Soest PJ, Van Amburgh ME and Tedeschi LO 2000. Rumen balance and rates of fiber digestion. Proceedings of the Cornell Nutrition Conference for Feed Manufacturers, pp. 150–166.Google Scholar
Weiss, WP 1993. Predicting energy values of feeds. Journal of Dairy Science 76, 18021811.CrossRefGoogle Scholar
Weiss WP 1999. Energy prediction equations for ruminant feeds. Proceedings of the Cornell Nutrition Conference for Feed Manufacturers, pp. 176–185.Google Scholar
Weiss, WP, Conrad, HR, St Pierre, NR 1992. A theoretically-based model for predicting total digestible nutrient values of forages and concentrates. Animal Feed Science and Technology 39, 95110.CrossRefGoogle Scholar