Passage and degradation kinetics of solid particles from agricultural residues
DOI:
https://doi.org/10.5433/1679-0359.2024v45n4p1227Keywords:
Corn residue, Grain processing waste, Soybean residue, Wheat residue.Abstract
The use of waste generated in the agroindustry can result in increased production at a relatively low cost compared to traditional ingredients, especially for producers with easy access to this waste. This study proposes to estimate the kinetics of passage and degradation of corn, soybean, wheat residues and corn silage in the gastrointestinal tract of cattle. Four rumen-fistulated animals with an average weight of 450 ± 50 kg were assigned to four treatments (corn, soybean, wheat residues and corn silage) in a 4×4 Latin square experimental design. The fiber from the residues and corn silage used to estimate the passage kinetics was marked with potassium dichromate, whereas the in situ technique was employed to estimate the fiber degradation kinetics. A larger potentially degradable fraction and a smaller undegradable fraction were observed for corn residue and corn silage, whereas no differences were detected between the materials for passage kinetics. The residue from corn processing is similar to corn silage in terms of degradation kinetics and mean fiber retention time, while the other residues have worse degradation kinetics than corn, which is due mainly to the elevated undegradable fraction. All the analyzed residues, as well as corn silage, share the same characteristics of fiber passage kinetics.
Downloads
References
Abreu, M. L., Vieira, R. A., Rocha, N. S., Araujo, R. P., Glória, L. S., Fernandes, A. M., Lacerda, P. D. de, & Gesualdi Jr., A. (2014). Clitoria ternatea L. as a potential high quality forage legume. Asian-Australas Journal Animal Science, 27(2), 169-178. doi: 10.5713/ajas.2013.13343 DOI: https://doi.org/10.5713/ajas.2013.13343
Agricultural and Food Research Council (1993). Energy and protein requirements of ruminants. CAB International.
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. doi: 10.1109/tac.1974.1100705 DOI: https://doi.org/10.1109/TAC.1974.1100705
Association of Official Analytical Chemists (1990). Official methods of analysis (15nd ed.). AOAC International.
Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods & Research, 33(2), 261-304. doi: 10.1177%2F0049124104268644 DOI: https://doi.org/10.1177/0049124104268644
Ellis, W. C., Mahlooji, M., & Lascano, C. E. (2005). Effects of size in ingestively masticated fragments of plant tissue on kinetics of digestion of NDF. Journal of Animal Science, 83(7), 1602-1615. doi: 10.2527/2005.8371602x DOI: https://doi.org/10.2527/2005.8371602x
Faichney, G. J. (1993). Digesta flow. In J. M. Forbes, & J. France (Eds.), Quantitative aspects of ruminant digestion and metabolism (pp. 53-86). Wallingford.
Fialho, F. T., Villela, S. D. J., Leonel, F. P., Tamy, W. P., Araujo, R. P., & Machado, H. V. N. (2015). Kinetics of transit and degradation of the fiber from guinea grass silages enriched with waste from soybean pre-cleaning. Revista Brasileira de Zootecnia, 44(6), 201-206. doi: 10.1590/S1806-92902015000600001 DOI: https://doi.org/10.1590/S1806-92902015000600001
Hristov, A. N., Ahvenjrvi, S., Mcallister, T. A., & Huhtanen, P. (2003). Composition and digestive tract retention time of ruminal particle with functional specific gravity greater or less than 1.02. Journal of Animal Science, 81(10), 2639-2648. doi: 10.2527/2003.81102639x DOI: https://doi.org/10.2527/2003.81102639x
Jardim, J. G., Vieira, R. A. M., Fernandes, A. M., Araujo, R. P., Gloria, L. S., Rohem., N. M., Jr., Rocha, N. S., & Abreu, M. L. C. (2013). Application of a nonlinear optimization tool to balance diets with constant metabolizability. Livestock Science, 158(1-3), 106-117. doi: 10.1016/j.livsci.2013.09.012 DOI: https://doi.org/10.1016/j.livsci.2013.09.012
Kirkpatrick, B. K., & Kennelly, J. J. (1987). In situ degradability of protein and dry matter from single protein sources and from a total diet. Journal of Animal Science, 65(2), 567-576. doi: 10.2527/jas1987.652567x DOI: https://doi.org/10.2527/jas1987.652567x
Kotsampasi, B., Christodoulou, C., Tsiplakou, E., Mavrommatis, A., Mitsiopoulou, C., Karaiskou, C., Dotas, V., Robinson, P. H., Bampidis, V. A., Christodoulou, V., & Zervas, G. (2017). Effects of dietary pomegranate pulp silage supplementation on milk yield and composition, milk fatty acid profile and blood plasma antioxidant status of lactating dairy cows. Animal Feed Science and Technology, 234, 228-236. doi: 10.1016/j.anifeedsci.2017.08.017 DOI: https://doi.org/10.1016/j.anifeedsci.2017.08.017
Leão, M. I., & Silva, J. F. C. (1980). Técnica de fistulação de abomaso em bezerros. Anais da Reunião Anual da Sociedade Brasileira de Zootecnia, Fortaleza, CE, Brasil, 17.
Leão, M. I., Silva, J. F. C., & Carneiro, L. D. H. M. (1978). Implantação de fístula ruminal e cânula duodenal reentrante em carneiros, para estudos de digestão. Revista Ceres, 25, 42-54.
Matis, J. H., Wehrly, T. E., & Ellis, W. C. (1989). Some generalized stochastic compartment models for digesta flow. Biometrics, 45(3), 703-720. DOI: https://doi.org/10.2307/2531678
Mertens, D. R. (1977). Dietary fiber components: relationship to the rate and extent of ruminal digestion. Federation Proceedings Journal, 36(2), 187-192.
Mertens, D. R. (2002). Gravimetric determination of amylase-treated neutral detergent fiber in feeds with refluxing in beaker or crucibles: collaborative study. Journal of AOAC International, 85(6), 1217-1240.
Mertens, D. R., & Ely, L. O. (1982). Relationship of rate and extent of digestion to forage utilization - a dynamic model evaluation. Journal of Animal Science, 54(4), 895-905. doi: 10.2527/jas1982.544895x DOI: https://doi.org/10.2527/jas1982.544895x
Mertens, D. R., & Loften, J. R. (1980). The effect of starch on forage fiber digestion kinetics in vitro. Journal of Dairy Science, 63(9), 1437-1446. doi: 10.3168/jds.S0022-0302(80)83101-8 DOI: https://doi.org/10.3168/jds.S0022-0302(80)83101-8
Nkosi, B. D., & Meeske, R. (2010). Effects of whey and molasses as silage additives on potato hash silage quality and growth performance of lambs. South African Journal of Animal Science, 40(3), 229-237. doi: 10.4314/sajas.v40i3.7 DOI: https://doi.org/10.4314/sajas.v40i3.7
Orskov, E. R., Hovell, F. D. B., & Mould, F. (1980). The use of the nylon bag technique for the evaluation of feedstuffs. Tropical Animal Production, 5(3), 195-213.
Oshita, T., Nonaka, K., & Kume, S. (2004). Effects of forage type on particle size distribution of ruminal digesta and faeces of non-lactating cows fed high quality forage. Livestock Production Science, 91(1-2), 107-115. doi: 10.1016/j.livprodsci.2004.07.015 DOI: https://doi.org/10.1016/j.livprodsci.2004.07.015
Pen, B., Iwama, T., Ooi, M., Saitoh, T., Kida, K., Iketaki, T., Takahashi, J., & Hidari, H. (2006). Effect of potato by-products based silage on rumen fermentation, methane production and nitrogen utilization in Holstein steers. Asian-Australasian Journal of Animal Science, 19(9), 1283-1290. doi: 10.5713/ajas.2006.1283 DOI: https://doi.org/10.5713/ajas.2006.1283
Pinheiro, J. C., & Bates, D. M. (2000). Mixed-effects models in S and S-PLUS. Springer-Verlag Inc. DOI: https://doi.org/10.1007/978-1-4419-0318-1
Pond, K. R., Ellis, W. C., Matis, J. H., Ferreiro, H. M., & Sutton, J. D. (1988). Compartment models for estimating attributes of digesta flow in cattle. British Journal of Nutrition, 60(3), 571-595. doi: 10.1079/bjn19880129 DOI: https://doi.org/10.1079/BJN19880129
Russell, J. B. (2002). Rumen microbiology and its role in ruminant nutrition. J. B. Russell.
Sampaio, I. B. M. (1994). Contribuições estatísticas e de técnica experimental para ensaios de degradabilidade de forragens quando avaliada in situ. Anais da Reunião Anual da Sociedade Brasileira de Zootecnia, Maringá, PR, Brasil, 31.
Senger, C. C. D., Mühlbach, P. R. F., Sanchez, L. M. B., Kozloski, G. V., Kist, G. P., Lima, L. D., & Perez, D., Netto. (2007). Comparação entre os métodos químicos, in situ e in vivo para estimativa do valor nutritivo de silagens de milho. Ciência Rural, 37(3), 835-840. doi: 10.1590/S010384782007000300036 DOI: https://doi.org/10.1590/S0103-84782007000300036
Smith, L. W., Goering, H. K., Waldo, D. R., & Gordon, D. H. (1971). In vitro digestion rate of forage cell wail components. Journal of Dairy Science, 54(1), 71-76. doi: 10.3168/jds.S0022-0302(71)85780-6 DOI: https://doi.org/10.3168/jds.S0022-0302(71)85780-6
Sugiura, N. (1978). Further analysis of the data by Akaike's information criterion and the finite corrections. Communications in Statistics - Theory and Methods, 7(1), 13-26. doi: 10.1080/03610927808827599 DOI: https://doi.org/10.1080/03610927808827599
Theodorou, M. K., Williams, B. A., Dhanoa, M. S., McAllan, A. B., & France, J. (1994). A simple gas production method using a pressure transducer to determine the fermentation kinetics of ruminant feeds. Animal Feed Science and Technology, 48(3-4), 185-197. doi: 10.1016/0377-8401(94)90171-6 DOI: https://doi.org/10.1016/0377-8401(94)90171-6
Udén, P., Colluci, P. E., & Van Soest. P. J. (1980). Investigation of chromium cerium and cobalt as markers in digesta: rate of passage studies. Journal of Science of Food and Agriculture, 31(7), 625-632. doi: 10.1002/jsfa.2740310702 DOI: https://doi.org/10.1002/jsfa.2740310702
Van Soest, P. J. (1994). Nutritional ecology of the ruminant (2nd ed.). Cornell University Press. DOI: https://doi.org/10.7591/9781501732355
Vieira, R. A. M., Pereira, J. C., Malafaia, P. A. M., & Queiroz, A. C. (1997). The influence of elephant-grass (Pennisetum purpureum Schum., Mineiro variety) growth on the nutrient kinetics in the rumen. Animal Feed Science and Technology, 67(2-3), 151-161. doi: 10.1016/S0377-8401(96)01130-3 DOI: https://doi.org/10.1016/S0377-8401(96)01130-3
Vieira, R. A. M., Tedeschi, L. O., & Cannas, A. (2008a). A generalized compartmental model to estimate the fibre mass in the ruminoreticulum: 1. Estimating parameters of digestion. Journal Theoretical Biology, 255(4), 345-356. doi: 10.1016/j.jtbi.2008.08.014 DOI: https://doi.org/10.1016/j.jtbi.2008.08.014
Vieira, R. A. M., Tedeschi, L. O., & Cannas, A. (2008b). A generalized compartmental model to estimate the fibre mass in the ruminoreticulum: 2. Integrating digestion and passage. Journal of Theoretical Biology, 255(4), 357-368. doi: 10.1016/j.jtbi.2008.08.013 DOI: https://doi.org/10.1016/j.jtbi.2008.08.013
Williams, C. H., David, D. J., & Iismaa, O. (1962). The determination of chromic oxide in faeces samples by atomic absorption. Journal Agriculture Science, 59(3), 381-385. doi: 10.1017/S002185960001546X DOI: https://doi.org/10.1017/S002185960001546X
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Semina: Ciências Agrárias
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Semina: Ciências Agrárias adopts the CC-BY-NC license for its publications, the copyright being held by the author, in cases of republication we recommend that authors indicate first publication in this journal.
This license allows you to copy and redistribute the material in any medium or format, remix, transform and develop the material, as long as it is not for commercial purposes. And due credit must be given to the creator.
The opinions expressed by the authors of the articles are their sole responsibility.
The magazine reserves the right to make normative, orthographic and grammatical changes to the originals in order to maintain the cultured standard of the language and the credibility of the vehicle. However, it will respect the writing style of the authors. Changes, corrections or suggestions of a conceptual nature will be sent to the authors when necessary.
