Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-05T01:48:18.016Z Has data issue: false hasContentIssue false

Effects of energy sources and inclusion levels of concentrate in sugarcane-silage-based diets of finishing Nellore young bulls: Nutrient digestibility, rumen metabolism and ecosystem

Published online by Cambridge University Press:  11 September 2019

V. B. Ferrari
Affiliation:
Department of Animal Science, School of Veterinary Medicine, Universidade de São Paulo, Pirassununga, São Paulo, 225, Duque de Caxias Norte, Pirassununga/SP- Brazil. Zipcode 13.635-900, Brazil
N. R. B. Cônsolo
Affiliation:
Department of Animal Science, Faculty of Animal Science and Food Engineering, Universidade de São Paulo, Pirassununga, São Paulo, 225, Duque de Caxias Norte, Pirassununga/SP-Brazil. Zipcode 13.635-900, Brazil
R. T. Sousa
Affiliation:
Department of Animal Science, School of Veterinary Medicine, Universidade de São Paulo, Pirassununga, São Paulo, 225, Duque de Caxias Norte, Pirassununga/SP- Brazil. Zipcode 13.635-900, Brazil
J. M. Souza
Affiliation:
Department of Animal Science, School of Veterinary Medicine, Universidade de São Paulo, Pirassununga, São Paulo, 225, Duque de Caxias Norte, Pirassununga/SP- Brazil. Zipcode 13.635-900, Brazil
I. C. S. Bueno
Affiliation:
Department of Animal Science, Faculty of Animal Science and Food Engineering, Universidade de São Paulo, Pirassununga, São Paulo, 225, Duque de Caxias Norte, Pirassununga/SP-Brazil. Zipcode 13.635-900, Brazil
L. F. P. Silva*
Affiliation:
University of Queensland, 306 Carmody Road, Bld 80, St Lucia, QLD 4072, Australia
*
Author for correspondence: L. F. P. Silva, E-mail: [email protected]

Abstract

Intake in sugar-rich diets can be limited either via rumen fill or excessive rumen fermentation and source of non-fibre carbohydrate (NFC) in the diet can affect both factors. The aim of the current study was to quantify the effect of partially replacing ground maize (GM) with steam-rolled maize (SRM) or pelleted citrus pulp (PCP) at two concentrate levels in sugarcane-based diets on digestibility, rumen ecosystem and metabolism of Nellore steers. Six rumen-cannulated steers were assigned to a 6 × 6 Latin square, replicated in time, in a 2 × 3 factorial arrangement of treatments with two levels of concentrate (600 or 800 g concentrate/kg dry matter [DM]) and three NFC sources. Each steer within a period was considered an experimental unit. Feeding more concentrate increased total tract digestibility of organic matter and decreased fibre intake and passage rate. It also reduced rumen populations of Fibrobacter succinogenes and Streptococcus bovis and increased Ruminococcus flavefaciens. Substituting PCP for GM increased rumen pH, acetic acid and organic matter digestibility. Feeding PCP also reduced R. flavefaciens and R. amylophilus rumen populations. Substituting SRM for GM increased starch digestibility and rumen propionic acid, but decreased rumen ammonia concentration. Feeding SRM increased rumen populations of Megasphaera elsdenii with the high-concentrate diet but reduced Ruminococcus albus populations at both concentrate levels. In conclusion, partial replacement of GM by PCP decreased intake in sugar-rich diets, while increasing total tract neutral detergent fibre digestibility. Replacement of GM with SRM increases rumen fermentation and total tract digestibility of starch.

Type
Animal Research Paper
Copyright
Copyright © Cambridge University Press 2019 

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

Allen, MS, Bradford, BJ and Oba, M (2009) Board-invited review: the hepatic oxidation theory of the control of feed intake and its application to ruminants. Journal of Animal Science 87, 33173334.Google Scholar
Bampidis, VA and Robinson, PH (2006) Citrus by-products as ruminant feeds: a review. Animal Feed Science and Technology 128, 175217.Google Scholar
Beauchemin, KA, Yang, WZ and Rode, LM (2001) Effects of barley grain processing on the site and extent of digestion of beef feedlot finishing diets. Journal of Animal Science 79, 19251936.Google Scholar
Beauchemin, KA, Kreuzer, M, O'Mara, F and McAllister, TA (2008) Nutritional management for enteric methane abatement: a review. Australian Journal of Experimental Agriculture 48, 2127.Google Scholar
Broderick, GA and Kang, JH (1980) Automated simultaneous determination of ammonia and total amino acids in ruminal fluid and in vitro media. Journal of Dairy Science 63, 6475.Google Scholar
Broderick, GA, Mertens, DR and Simons, R (2002) Efficacy of carbohydrate sources for milk production by cows fed diets based on alfalfa silage. Journal of Dairy Science 85, 17671776.Google Scholar
Bueno, MS, Ferrari, E Jr, Bianchini, D, Leinz, FF and Rodrigues, CFC (2002) Effect of replacing corn with dehydrated citrus pulp in diets of growing kids. Small Ruminant Research 46, 179185.Google Scholar
Cantalapiedra-Hijar, G, Yáñez-Ruiz, DR, Newbold, CJ and Molina-Alcaide, E (2011) The effect of the feed-to-buffer ratio on bacterial diversity and ruminal fermentation in single-flow continuous culture fermenters. Journal of Dairy Science 94, 13741384.Google Scholar
Cribbs, JT, Bernhard, BC, Young, TR, Jennings, MA, Burdick Sanchez, NC, Callaway, TR, Schmidt, TB, Johnson, BJ and Rathmann, RJ (2015) Dehydrated citrus pulp alters feedlot performance of crossbred heifers during the receiving period and modulates serum metabolite concentrations before and after an endotoxin challenge. Journal of Animal Science 93, 57915800.Google Scholar
Crocker, LM, DePeters, EJ, Fadel, JG, Perez-Monti, H, Taylor, SJ, Wyckoff, JA and Zinn, RA (1998) Influence of processed corn grain in diets of dairy cows on digestion of nutrients and milk composition. Journal of Dairy Science 81, 23942407.Google Scholar
Dado, RG and Allen, MS (1995) Intake limitations, feeding behavior, and rumen function of cows challenged with rumen fill from dietary fiber or inert bulk. Journal of Dairy Science 78, 118133.Google Scholar
Erwin, ES, Marco, GJ and Emery, EM (1961) Volatile fatty acid analysis of blood and rumen fluid by gas chromatography. Journal of Dairy Science 44, 1768–1177.Google Scholar
Fernando, SC, Purvis, HT, Najar, FZ, Sukharnikov, LO, Krehbiel, CR, Nagaraja, TG, Roe, BA and De Silva, U (2010) Rumen microbial population dynamics during adaptation to a high-grain diet. Applied and Environmental Microbiology 76, 74827490.Google Scholar
Ferrari, VB, Cônsolo, NRB, Sousa, RT, Souza, JM, Santana, MHA and Silva, LFP (submitted) Effects of energy sources and inclusion levels of concentrate in sucrose-rich diets of finishing Nellore young bulls: I. Feeding behaviour, performance and blood parameters. Journal of Agricultural Science, Cambridge.Google Scholar
Forsberg, CW, Cheng, KJ and White, BA (1997) Polysaccharide degradation in the rumen and large intestine. In Mackie, RI and White, BA (eds), Gastrointestinal Microbiology. Volume 1 Gastrointestinal Ecosystems and Fermentations. Chapman & Hall Microbiology Series. Boston, MA, USA: Springer US, pp. 319379.Google Scholar
Getachew, G, Makkar, HPS and Becker, K (2002) Tropical browses: contents of phenolic compounds, in vitro gas production and stoichiometric relationship between short chain fatty acid and in vitro gas production. Journal of Agricultural Science, Cambridge 139, 341352.Google Scholar
González, LA, Manteca, X, Calsamiglia, S, Schwartzkopf-Genswein, KS and Ferret, A (2012) Ruminal acidosis in feedlot cattle: interplay between feed ingredients, rumen function and feeding behavior (a review). Animal Feed Science and Technology 172, 6679.Google Scholar
Gouvêa, VN, Batistel, F, Souza, J, Chagas, JL, Sitta, C, Campanili, PRB, Galvani, DB, Pires, AV, Owens, FN and Santos, FAP (2016) Flint corn grain processing and citrus pulp level in finishing diets for feedlot cattle. Journal of Animal Science 94, 665677.Google Scholar
Hall, MB and Eastridge, ML (2014) Invited review: carbohydrate and fat: considerations for energy and more. Professional Animal Scientist 30, 140149.Google Scholar
Huhtanen, P, Kaustell, K and Jaakkola, S (1994) The use of internal markers to predict total digestibility and duodenal flow of nutrients in cattle given six different diets. Animal Feed Science and Technology 48, 211227.Google Scholar
Julliand, V, de Fombelle, A and Varloud, M (2006) Starch digestion in horses: the impact of feed processing. Livestock Science 100, 4452.Google Scholar
Khafipour, E, Krause, DO and Plaizier, JC (2009) A grain-based subacute ruminal acidosis challenge causes translocation of lipopolysaccharide and triggers inflammation. Journal of Dairy Science 92, 10601070.Google Scholar
Koike, S and Kobayashi, Y (2001) Development and use of competitive PCR assays for the rumen cellulolytic bacteria: Fibrobacter succinogenes, Ruminococcus albus and Ruminococcus flavefaciens. FEMS Microbiology Letters 204, 361366.Google Scholar
Koike, S and Kobayashi, Y (2009) Fibrolytic rumen bacteria: their ecology and functions. Asian-Australasian Journal of Animal Sciences 22, 131138.Google Scholar
Koike, S, Pan, J, Kobayashi, Y and Tanaka, K (2003) Kinetics of in sacco fiber-attachment of representative ruminal cellulolytic bacteria monitored by competitive PCR. Journal of Dairy Science 86, 14291435.Google Scholar
Liu, J, Wang, JK, Zhu, W, Pu, YY, Guan, LL and Liu, JX (2014) Monitoring the rumen pectinolytic bacteria Treponema saccharophilum using real-time PCR. FEMS Microbiology Ecology 87, 576585.Google Scholar
Long, M, Feng, WJ, Li, P, Zhang, Y, He, RX, Yu, LH, He, JB, Jing, WY, Li, YM, Wang, Z and Liu, GW (2014) Effects of the acid-tolerant engineered bacterial strain Megasphaera elsdenii H6F32 on ruminal pH and the lactic acid concentration of simulated rumen acidosis in vitro. Research in Veterinary Science 96, 2829.Google Scholar
Marden, JP, Julien, C, Monteils, V, Auclair, E, Moncoulon, R and Bayourthe, C (2008) How does live yeast differ from sodium bicarbonate to stabilize ruminal pH in high-yielding dairy cows? Journal of Dairy Science 91, 35283535.Google Scholar
Miron, J, Yosef, E and Ben-Ghedalia, D (2001) Composition and in vitro digestibility of monosaccharide constituents of selected byproduct feeds. Journal of Agricultural and Food Chemistry 49, 23222326.Google Scholar
Mosoni, P, Chaucheyras-Durand, F, Béra-Maillet, C and Forano, E (2007) Quantification by real-time PCR of cellulolytic bacteria in the rumen of sheep after supplementation of a forage diet with readily fermentable carbohydrates: effect of a yeast additive. Journal of Applied Microbiology 103, 26762685.Google Scholar
Muyzer, G, de Waal, EC and Uitterlinden, AG (1993) Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Applied and Environmental Microbiology 59, 695700.Google Scholar
Nagaraja, TG and Titgemeyer, EC (2007) Ruminal acidosis in beef cattle: the current microbiological and nutritional outlook. Journal of Dairy Science 90, E17E38.Google Scholar
National Research Council (NRC) (2000) Nutrient Requirements of Beef Cattle. 7th Revised Edn. Washington, DC, USA: National Academy Press.Google Scholar
Oba, M and Allen, MS (2003) Effects of corn grain conservation method on feeding behavior and productivity of lactating dairy cows at two dietary starch concentrations. Journal of Dairy Science 86, 174183.Google Scholar
Oni, AO, Onwuka, CFI, Oduguwa, OO, Onifade, OS and Arigbede, OM (2008) Utilization of citrus pulp based diets and Enterolobium cyclocarpum (JACQ. GRISEB) foliage by West African dwarf goats. Livestock Science 117, 184191.Google Scholar
Ouwerkerk, D, Klieve, AV and Forster, RJ (2002) Enumeration of Megasphaera elsdenii in rumen contents by real-time Taq nuclease assay. Journal of Applied Microbiology 92, 753758.Google Scholar
Owens, FN and Basalan, M (2016) Ruminal fermentation. In Millen, D, De Beni Arrigoni, M and Lauritano Pacheco, R (eds), Rumenology. Zurich, Switzerland: Springer International Publishing, pp. 63102.Google Scholar
Owens, FN and Goetsch, AL (1993) Ruminal fermentation. In Church, DC (ed.), The Ruminant Animal: Digestive Physiology and Nutrition, 5th Edn. Long Grove, Illinois, USA: Waveland Press, pp. 145171.Google Scholar
Petri, RM, Forster, RJ, Yang, W, McKinnon, JJ and McAllister, TA (2012) Characterization of rumen bacterial diversity and fermentation parameters in concentrate fed cattle with and without forage. Journal of Applied Microbiology 112, 11521162.Google Scholar
Potter, EL and Dehority, BA (1973) Effects of changes in feed level, starvation, and level of feed after starvation upon the concentration of rumen protozoa in the ovine. Applied Microbiology 26, 692698.Google Scholar
Russell, JB and Dombrowski, BD (1980) Effect of pH on the efficiency of growth by pure cultures of rumen bacteria in continuous culture. Applied and Environmental Microbiology 39, 604610.Google Scholar
Russell, JB, O'Connor, JD, Fox, DG, Van Soest, PJ and Sniffen, CJ (1992) A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation. Journal of Animal Science 70, 35513561.Google Scholar
Santos, FAP, Menezes, MP Jr, Corrêa de Simas, JM, Pires, AV and Nussio, CMB (2001) Corn grain processing and its partial replacement by pelleted citrus pulp on performance, nutrient digestibility and blood parameters of dairy cows (Processamento do grão de milho e sua substituição parcial por polpa de citros peletizada sobre o desempenho, digestibilidade de nutrientes e parâmetros sangüíneos em vacas leiteiras). Acta Scientiarum 23, 923931.Google Scholar
Simas, JMC, Pires, AV, Susin, I, Santos, FAP, Mendes, CQ, Oliveira, RC Jr and Fernandes, JJR (2008) Effects of starch sources and processing on nutrient digestibility and ruminal parameters of lactating cows. Brazilian Journal of Veterinary and Animal Science 60, 11281134.Google Scholar
Singh, KM, Pandya, PR, Tripathi, AK, Patel, GR, Parnerkar, S, Kothari, RK and Joshi, GC (2014) Study of rumen metagenome community using qPCR under different diets. Meta Gene 2, 191199.Google Scholar
Stevenson, DM and Weimer, PJ (2007) Dominance of Prevotella and low abundance of classical ruminal bacterial species in the bovine rumen revealed by relative quantification real-time PCR. Applied Microbiology and Biotechnology 75, 165174.Google Scholar
Strobel, HJ and Russell, JB (1986) Effect of pH and energy spilling on bacterial protein synthesis by carbohydrate-limited cultures of mixed rumen bacteria. Journal of Dairy Science 69, 29412947.Google Scholar
Tajima, K, Aminov, RI, Nagamine, T, Matsui, H, Nakamura, M and Benno, Y (2001) Diet-dependent shifts in the bacterial population of the rumen revealed with real-time pcr diet-dependent shifts in the bacterial population of the rumen revealed with real-time PCR. Applied and Environmental Microbiology 67, 27662774.Google Scholar
Theurer, CB, Huber, JT, Delgado-Elorduy, A and Wanderley, R (1999) Invited review: summary of steam-flaking corn or sorghum grain for lactating dairy cows. Journal of Dairy Science 82, 19501959.Google Scholar
Van Soest, PJ (1994) Nutritional Ecology of the Ruminant. Ithaca, NY, USA: Cornell University Press.Google Scholar
Wanapat, M and Cherdthong, A (2009) Use of real-time PCR technique in studying rumen cellulolytic bacteria population as affected by level of roughage in swamp buffalo. Current Microbiology 58, 294299.Google Scholar
Wang, RF, Cao, WW and Cerniglia, CE (1997) PCR detection of Ruminococcus spp. in human and animal faecal samples. Molecular and Cellular Probes 11, 259265.Google Scholar
Weimer, PJ (1993) Microbial and molecular mechanisms of cell wall degradation – session synopsis. In Jung, HG, Buxton, DR, Hatfield, RD and Ralph, J (eds), Forage Cell Wall Structure and Digestibility. Madison, Wisconsin, USA: ASA, CSSA, SSSA, pp. 485498.Google Scholar
Yu, ZT and Morrison, M (2004) Improved extraction of PCR-quality community DNA from digesta and fecal samples. Biotechniques 36, 808812.Google Scholar
Zinn, RA, Owens, FN and Ware, RA (2002) Flaking corn: processing mechanics, quality standards, and impacts on energy availability and performance of feedlot cattle. Journal of Animal Science 80, 11451156.Google Scholar