Comparing Logistic and Michaelis-Menten Multiphasic Models for Analysis of in vitro Gas Production Profiles of some Starchy Feedstuffs

الموضوعات :

ا. پرند ¹ (Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)
ع.ر. وکیلی ² (Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)
م. دانش مسگران ³ (Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran)

تاريخ الإرسال : 04 الأحد , محرم, 1439 تاريخ التأكيد : 13 الجمعة , ربيع الأول, 1439 تاريخ الإصدار : 21 السبت , ذو الحجة, 1439

الکلمات المفتاحية: gas production, cereals, multi-phasic models,

ملخص المقالة :

Two multi-phasic models (logistic (LOG) and Michaelis-Menten (MM)) with three sub-curves were used to describe gas production kinetics of corn (CG), barley (BG), wheat (WG) and triticale (TG) grains. In each model sub curve, 1 describes the gas production caused by fermentation of the soluble fraction, gas production caused by fermentation of the non-soluble fraction is described in sub curve 2 and sub curve 3 represents gas production by microbial turnover. With MM model TG and WG had highest gas production from the soluble fraction followed by BG and CG. With LOG model there was no difference in gas production from the soluble fraction between BG and CG (P>0.05) and TG and WG (P>0.05) but TG and WG had higher gas volume from this fraction comparing to CG and BG (P<0.05). For gas production caused by fermentation of the non-soluble fraction, CG had the highest volume using MM model and CG and BG had higher volume with LOG model comparing to WG and TG (P<0.05). With MM model BG had highest gas production by microbial turnover but with LOG model WG and TG had higher gas production for the third sub curve. The LOG model had a slightly better fitting performance comparing to MM model in the present study but considering the methodology of this trial and the nature of models it does not necessarily represent the superiority of LOG model over MM model.

المصادر:

Agbagla-Dohnani A., Cornu A. and Broudiscou L. (2012). Rumen digestion of rice straw structural polysaccharides: Effect of ammonia treatment and lucerne extract supplementation in vitro. Animal. 6, 1642-1647.

Azarfar A. (2007). Fractions of ruminant feeds: Kinetics of degradation in vitro. Ph D. Thesis. Wageningen Institute of Animal Science, Wageningen Univ., the Netherlands.

Azarfar A., Namgay K., Pellikaan W.F., Tamminga S. and van der Poel A.F. (2009). In vitro gas production profiles and fermentation end products in processed barley, maize and milo. J. Sci. Food Agric. 89, 1697-1708.

Baldwin P.M. (2001). Starch granule associated proteins and polypeptides: A review. Starch Stärke. 53, 475-503.

Bibby J. and Toutenburg H. (1977). Prediction and improved estimation in linear models. Wiley and Sons, Chichester, New York.

Boon E., Engels F., Struik P. and Cone J. (2005). Stem characteristics of two forage maize (Zea mays). cultivars varying in whole plant digestibility. II. Relation between in vitro rumen fermentation characteristics and anatomical and chemical features within a single internode. NJAS Wagen. J. Llife Sci. 53, 87-109.

Calabrò S., Lopez S., Piccolo V., Dijkstra J., Dhanoa M. and France J. (2005). Comparative analysis of gas production profiles obtained with buffalo and sheep ruminal fluid as the source of inoculum. Anim. Feed Sci. Technol. 123, 51-65.

Cao B., Wang R., Yang H. and Jiang L. (2015). In situ ruminal degradation of phenolic acid, cellulose and hemicellulose in crop brans and husks differing in ferulic and p-coumaric acid patterns. J. Agric. Sci. 153, 1312-1320.

Chesson A. (2000). Feed characterization. Pp. 11-33 in Feed Evaluation Models. M.K. Theodorou, Ed.CAB International, Wallingford, United Kingdom.

Cone J.W. and Becker P.M. (2012). Fermentation kinetics and production of volatile fatty acids and microbial protein by starchy feedstuffs. Anim. Feed Sci. Technol. 172, 34-41.

Cone J.W., van Gelder A.H. and Driehuis F. (1997). Description of gas production profiles with a three-phasic model. Anim. Feed Sci. Technol. 66, 31-45.

Cornu A., Besle J., Mosoni P. and Grenet E. (1994). Lignin-carbohydrate complexes in forages: Structure and consequences in the ruminal degradation of cell-wall carbohydrates. Reprod. Nutr. Dev. 34, 385-398.

Demeyer D. (1981). Rumen microbes and digestion of plant cell walls. ‎Agric. Environ. 6, 295-337.

Dhanoa M., Lister S., France J. and Barnes R. (1999). Use of mean square prediction error analysis and reproducibility measures to study near infrared calibration equation performance. J. Near Infrared Spectrosc. 7, 133-144.

Dhanoa M., Lopez S., Dijkstra J., Davies D., Sanderson R., Williams B., Sileshi Z. and France J. (2000). Estimating the extent of degradation of ruminant feeds from a description of their gas production profiles observed in vitro: Comparison of models. Br. J. Nutr. 83, 131-142.

Fellner V., Burns J. and Marshall D. (2008). Effect of feeding corn, hull-less or hulled barley on fermentation by mixed cultures of ruminal microorganisms. J. Dairy Sci. 91, 1936-1941.

Giuberti G., Gallo A., Masoero F., Ferraretto L.F., Hoffman P.C. and Shaver R.D. (2014). Factors affecting starch utilization in large animal food production system: A review. Starch Stärke. 66, 72-90.

Groot J.C., Cone J.W., Williams B.A., Debersaques F.M. and Lantinga E.A. (1996). Multiphasic analysis of gas production kinetics for in vitro fermentation of ruminant feeds. Anim. Feed Sci. Technol. 64, 77-89.

Hillman K., Newbold C. and Stewart C. (1993). The contributions of bacteria and protozoa to ruminal forage fermentation in vitro, as determined by microbial gas production. Anim. Feed Sci. Technol. 42, 193-208.

Hindle V., Klop A., Mathijssen Kamman A., Van Gelder A. and Cone J. (2005). Site and extent of starch degradation in the dairy cow–a comparison between in vivo, in situ and in vitro measurements. J. Anim. Physiol. Anim. Nutr. 89, 158-165.

Huhtanen P., Seppälä A., Ahvenjärvi S. and Rinne M. (2008). Prediction of in vivo neutral detergent fiber digestibility and digestion rate of potentially digestible neutral detergent fiber: Comparison of models. ‎J. Anim. Sci. 86, 2657-2669.

Huws S., Mayorga O., Theodorou M., Kim E., Cookson A. and Newbold C. (2014). Differential colonization of plant parts by the rumen microbiota is likely to be due to different forage chemistries. J. Microb. Biochem. Technol. 6, 80-86.

Lanzas C., Fox D. and Pell A. (2007). Digestion kinetics of dried cereal grains. Anim. Feed Sci. Technol. 136, 265-280.

Lopes J., Shaver R., Hoffman P., Akins M., Bertics S., Gencoglu H. and Coors J. (2009). Type of corn endosperm influences nutrient digestibility in lactating dairy cows. J. Dairy Sci. 92, 4541-4548.

Lynd L.R., Weimer P.J., Van Zyl W.H. and Pretorius I.S. (2002). Microbial cellulose utilization: Fundamentals and biotech-nology. Microbiol. Mol. Biol. Rev. 66, 506-577.

McAllister T.A., Cheng K.J., Rode L.M. and Forsberg C.W. (1990). Digestion of barley, maize, and wheat by selected species of ruminal bacteria. Appl. Environ. Microbiol. 56, 3146-3153.

Menke K., Raab L., Salewski A., Steingass H., Fritz D. and Schneider W. (1979). The estimation of the digestibility and metabolizable energy content of ruminant feedingstuffs from the gas production when they are incubated with rumen liquor in vitro. J. Agric. Sci. 93, 217-722.

Nocek J.E. and Tamminga S. (1991). Site of digestion of starch in the gastrointestinal tract of dairy cows and its effect on milk yield and composition. J. Dairy Sci. 74, 3598-3629.

Pell A.N., Pitt R.E., Doane P.H. and Schofield P. (1998). The development, use and application of the gas production technique at Cornell University, USA. Pp. 45-54 in Proc. In vitro Vechniques for Measuring Nutrient supply to Ruminants. E.R. Deaville, E. Owen, A.T. Adesogen, C. Rymer, J.A. Huntington and T.L.J. Lawrence, Ed. Occasional Publication, British Society of Animal Science, Edinburgh, United Kingdom.

Peripolli V., Prates E.R., Barcellos J.O., McManus C.M., Wilbert C.A., Neto J.B., Camargo C.M. and Lopes R.B. (2014). Models for gas production adjustment in ruminant diets containing crude glycerol. Livest. Res. Rural Dev. 26(2), 28-35.

Piquer O., Casado C., Biglia S., Fernández C., Blas E. and Pascual J. (2009). In vitro gas production kinetics of whole citrus fruits. ‎J. Anim. Feed Sci. 663, 127-135.

Rymer C., Huntington J., Williams B. and Givens D. (2005). In vitro cumulative gas production techniques: History, methodological considerations and challenges. Anim. Feed Sci. Technol. 123, 19-30.

SAS Institute. (2001). SAS^®/STAT Software, Release 8.2. SAS Institute, Inc., Cary, NC. USA.

Schofield P., Pitt R. and Pell A. (1994). Kinetics of fiber digestion from in vitro gas production. ‎J. Anim Sci. 72, 2980-2991.

Sherrod P.H. (2005). Nonlinear Regression Analysis Program Phillip H. Sherrod Nashville, USA.

Shewry P.R. and Halford N.G. (2002). Cereal seed storage proteins: structures, properties and role in grain utilization. J. Exp. Bot. 53, 947-958.

Theodorou M.K., Davies D.R., Nielsen B.B., Lawrence M.I. and Trinci A.P. (1995). Determination of growth of anaerobic fungi on soluble and cellulosic substrates using a pressure transducer. Microbiology. 141, 671-678.

Van Milgen J., Berger L.L. and Murphy M.R. (1993). An integrated, dynamic model of feed hydration anddigestion, and subsequent bacterial mass accumulation in the rumen. Br. J. Nutr. 70, 471-483.

Wang M., Tang S.X. and Tan Z.L. (2011). Modeling in vitro gas production kinetics: Derivation of logistic-exponential (LE) equations and comparison of models. Anim. Feed Sci. Technol. 165, 137-150.

Yang H., Tamminga S., Williams B.A., Dijkstra J. and Boer H. (2005). In vitro gas and volatile fatty acids production profiles of barley and maize and their soluble and washout fractions after feed processing. Anim. Feed Sci. Technol. 120, 125-140.