Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-27T07:06:00.277Z Has data issue: false hasContentIssue false
  • English
  • Français

Effects of varying proportions of concentrates on ruminal-reducing power and bacterial community structure in dry dairy cows fed hay-based diets

Published online by Cambridge University Press:  17 May 2010

C. Julien ,
J. P. Marden ,
C. Bonnefont ,
R. Moncoulon ,
E. Auclair ,
V. Monteils  and
C. Bayourthe
C. Julien
Affiliation:
INPT, ENVT. UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Université de Toulouse, ENSAT, F-31326 Castanet-Tolosan Cedex, France INRA-PHASE, UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Chemin de Borde-Rouge, Auzeville, F-31326 Castanet-Tolosan, France
J. P. Marden
Affiliation:
Lesaffre Feed Additives, 90 rue de Lille, F-59520 Marquette-Lez-Lille, France
C. Bonnefont
Affiliation:
INPT, ENVT. UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Université de Toulouse, ENSAT, F-31326 Castanet-Tolosan Cedex, France INRA-PHASE, UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Chemin de Borde-Rouge, Auzeville, F-31326 Castanet-Tolosan, France
R. Moncoulon
Affiliation:
INPT, ENVT. UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Université de Toulouse, ENSAT, F-31326 Castanet-Tolosan Cedex, France INRA-PHASE, UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Chemin de Borde-Rouge, Auzeville, F-31326 Castanet-Tolosan, France
E. Auclair
Affiliation:
Lesaffre Feed Additives, 90 rue de Lille, F-59520 Marquette-Lez-Lille, France
V. Monteils
Affiliation:
INPT, ENVT. UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Université de Toulouse, ENSAT, F-31326 Castanet-Tolosan Cedex, France INRA-PHASE, UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Chemin de Borde-Rouge, Auzeville, F-31326 Castanet-Tolosan, France
C. Bayourthe*
Affiliation:
INPT, ENVT. UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Université de Toulouse, ENSAT, F-31326 Castanet-Tolosan Cedex, France INRA-PHASE, UMR 1289 Tandem, Tissus Animaux, Nutrition, Digestion, Ecosystème et Métabolisme, Chemin de Borde-Rouge, Auzeville, F-31326 Castanet-Tolosan, France
*
†E-mail: bayourth@ensat.fr
Get access

Abstract

The objectives of this study were to evaluate the influence of diet composition on ruminal parameters, more particularly redox potential (Eh). Four Holstein dry dairy cows, fitted with ruminal cannulas, were allocated in a 4 × 4 Latin square design. They were given four experimental hay-based diets D0, D25, D42 and D56 consisting of 0%, 25%, 42% and 56% of ground wheat and barley concentrate mixture, respectively. They were fed at a daily feeding rate of 8.0 kg DM per cow during a 24-day experimental period (a 21-day diet adaptation, three consecutive days of measurement and sampling). The physicochemical parameters, such as pH and Eh, were measured and Clark’s exponent (rH) was calculated from 1 h before feeding to 8 h after feeding at 1-h interval. Samples of ruminal fluid were taken at 0, 1, 2, 4, 6 and 8 h after feeding for the determination of volatile fatty acid (VFA) and ammonia N (NH3-N) concentrations. Ruminal bacterial populations were also studied by means of capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) technique to focus on the structure of the ruminal microbiota and the diversity index was calculated. Mean ruminal Eh and rH were not modified by the concentrate-to-forage ratio and averaged – 210 mV and 6.30, respectively, across diets. The pH decreased slightly by 0.10 pH unit between treatments D0 and D56 with an average of 6.58. Nevertheless, the time during which physicochemical parameters remained at nadir value after feeding varied with diets: 2 and 7 h for D0 and 6 and 5 h for D56, respectively for pH and Eh. Moreover, fermentative parameters were altered by treatments: total VFA and NH3-N were greater in D56 (72.2 mM and 17.5 mg/100 ml) compared with D0 (65.2 mM and 14.2 mg/100 ml). However, neither the structure of bacterial populations of the rumen nor the diversity index (Shannon) was altered by treatments.

Keywords

ruminal redox potentialdairy cowhayCE-SSCP
Type
Full Paper
Information
animal , Volume 4 , Issue 10 , October 2010 , pp. 1641 - 1646
Copyright
Copyright © The Animal Consortium 2010

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

Antonini, D, Falciola, L, Mussini, PR, Mussini, T 2001. The rH index for quality and environmental controls: standards and application procedures. Annali di Chimica 91, 117–126.Google ScholarPubMed
Baldwin, RL, Emery, RS 1960. Investigation of the oxidation-reduction potential of rumen contents. Journal of Dairy Science 43, 577–578.CrossRefGoogle Scholar
Barry, TN, Thompson, A, Armstrong, DG 1977. Rumen fermentation studies on two contrasting diets. 1. Some characteristics of the in vivo fermentation, with special reference to the composition of the gas phase, oxidation/reduction state and volatile fatty acid proportions. The Journal of Agricultural Science 89, 183–195.CrossRefGoogle Scholar
Beresford, T, Fitzsimons, N, Brennan, N, Cogan, T 2001. Recent advances in cheese microbiology. International Dairy Journal 11, 259–274.CrossRefGoogle Scholar
Bohn, HL 1969. The EMF of platinum electrodes in dilute solutions and its relation to soil pH. Soil Science Society of America Journal 33, 639–640.CrossRefGoogle Scholar
Bolduc, MP, Bazinet, L, Lessard, J, Chapuzet, JM, Vuillemard, JC 2006. Electrochemical modification of the redox potential of pasteurized milk and its evolution during storage. Journal Agricultural Food and Chemistry 54, 4651–4657.CrossRefGoogle ScholarPubMed
Brasca, M, Morandi, S, Lodi, R, Tamburini, A 2007. Redox potential to discriminate among species of lactic acid bacteria. Journal of Applied Microbiology 103, 1516–1524.CrossRefGoogle ScholarPubMed
Broberg, G 1958. Measurements of the redox potential in rumen contents. IV. In vivo measurements. Nordisk Veterinaermedicin 10, 263–268.Google Scholar
Broudiscou, LP, Albarello, H, Broudiscou, AF, Sauvant, D 2006. Modelling of gas metabolism in rumen microbial ecosystem. Influence of pH, redox potential and source of energy diet. Rencontres autour des Recherches sur les Ruminants 13, 110.Google Scholar
Delbès, C, Godon, JJ, Moletta, R 1998. 16S rDNA sequence diversity of a culture-accessible part of an anaerobic digestor bacterial community. Anaerobe 4, 267–275.CrossRefGoogle ScholarPubMed
Giger-Reverdin, S, Duvaux-Ponter, C, Rigalma, K, Sauvant, D 2006. Effect of chewing behaviour on ruminal redox potential variability in dairy goats. Rencontres autour des Recherches sur les Ruminants 13, 138.Google Scholar
Hach, CC, Brayton, SV, Kopelove, AB 1985. A powerful Kjeldhal nitrogen method using peroxymonosulfuric acid. Journal of Agricultural Food and Chemistry 6, 1117–1123.CrossRefGoogle Scholar
Hach, CC, Bowden, BK, Kopelove, AB 1987. More powerful peroxide Kjeldhal digestion method. Journal – Association of Official Analytical Chemists 70, 783–787.Google Scholar
Jeanson, S, Hilgert, N, Coquillard, MO, Seukpanya, C, Faiveley, M, Neveu, P, Abraham, C, Georgescu, V, Fourcassié, P, Beuvier, E 2009. Milk acidification by Lactococcus lactis is improved by decreasing the level of dissolved oxygen rather than decreasing redox potential in the milk prior to inoculation. International Journal of Food Microbiology 131, 75–81.CrossRefGoogle ScholarPubMed
Marden, JP, Bayourthe, C, Enjalbert, F, Moncoulon, R 2005. A new device for measuring kinetics of ruminal pH and redox potential in dairy cattle. Journal of Dairy Science 88, 277–281.CrossRefGoogle ScholarPubMed
Marden, JP, Julien, C, Monteils, V, Auclair, E, Moncoulon, R, 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, 3528–3535.CrossRefGoogle ScholarPubMed
Marounek, M, Bartos, S, Kalachnyuk, GI 1982. Dynamics of the redox potential and rH of the rumen fluid of goats. Physiologia Bohemoslovaca 31, 369–374.Google ScholarPubMed
Marounek, M, Roubal, P, Bartos, S 1987. The redox potential, rH and pH values in the gastrointestinal tract of small ruminants. Physiologia Bohemoslovaca 36, 71–74.Google ScholarPubMed
Martin, C, Fonty, G, Michalet-Doreau, B 2002. Factors affecting the fibrolytic activity of the digestive microbial ecosystems in Ruminants. In Gastrointestinal microbiology in animals (ed. SA Martin), pp. 1–178. Research Signpost, India.Google Scholar
Michelland, RJ, Monteils, V, Zened, A, Combes, S, Cauquil, L, Gidenne, T, Hamelin, J, Fortun-Lamothe, L 2009a. Spatial and temporal variations of the bacterial community in the bovine digestive tract. Journal of Applied Microbiology 105, 1642–1656.CrossRefGoogle Scholar
Michelland, RJ, Dejean, S, Combes, S, Lamothe, L, Cauquil, L 2009b. StatFingerprints: a friendly graphical interface program for microbial fingerprint profiles processing and analysis. Molecular Ecology Resources 9, 1359–1363.CrossRefGoogle ScholarPubMed
Oetzel, GR 2000. Clinical aspects of ruminal acidosis in dairy cattle. In 33rd Annual Conference Proceedings, pp. 46–53. American Association of Bovine Practitioners, Rapid City, SD, USA.Google Scholar
Playne, MJ 1985. Determination of ethanol, volatile fatty acids, lactic acid and succinic acid in fermentation liquids by gas chromatography. Journal of the Science of Food and Agriculture 36, 638–644.CrossRefGoogle Scholar
R Development Core Team 2009. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.Google Scholar
Ramette, A 2007. Multivariate analyses in microbial ecology. FEMS Microbiology Ecology 62, 142–160.CrossRefGoogle ScholarPubMed
Sauvant, D, Giger-Reverdin, S, Meschy, F 2006. Le contrôle de l’acidose ruminale latente. INRA Productions Animales 19, 69–78.CrossRefGoogle Scholar
Streeter, MN, Wagner, DG, Hibberd, CA, Owens, FN 1990. Comparison of corn with four sorghum grain hybrids: site and extent of digestion in steers. Journal of Animal Science 68, 3429–3440.CrossRefGoogle ScholarPubMed
Tomlinson, JW, Kilmartin, PA 1997. Measurement of the redox potential of wine. Journal of Applied Electrochemistry 27, 1125–1134.CrossRefGoogle Scholar
Ungerfeld, E, Kohn, RA 2006. The role of thermodynamics in the control of ruminal fermentation. In Ruminant Physiology: Digestion, Metabolism and Impact of Nutrition on Gene Expression, Immunology and Stress (ed. K Sejrsen, T Hvelplund and MO Nielsen), pp. 55–85. Wageningen Academic Publishers, Wageningen, The Netherlands.CrossRefGoogle Scholar
Yang, WZ, Beauchemin, KA 2007. Altering physically effective fiber intake through forage proportion and particle length: chewing and ruminal pH. Journal of Dairy Science 90, 2826–2838.CrossRefGoogle ScholarPubMed
Zinger, L, Gury, J, Giraud, F, Krivobok, S, Gielly, L, Taberlet, P 2007. Improvements of polymerase chain reaction and capillary electrophoresis single-strand conformation polymorphism methods in microbial ecology: toward a high throughput method for microbial diversity studies in soil. Microbial Ecology 54, 203–216.CrossRefGoogle Scholar
Zumstein, E, Moletta, R, Godon, JJ 2000. Examination of two years of community dynamics in an anaerobic bioreactor using fluorescence polymerase chain reaction (PCR) single-strand conformation polymorphism analysis. Environmental Microbiology 2, 69–78.CrossRefGoogle Scholar