Broiler Diets Formulated Based on Digestible Amino Acid Values as Determined by in vivo and Prediction Methods

Document Type : Research Article

Authors

1 Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

2 Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

3 Evonik Degussa Iran AG, 1436935353, Tehran, Iran

Abstract

The aim of the present study was to assess whether near infrared reflectance spectroscopy (NIRS) and regression equations are the practical and accurate approach of nutritional assessment of common feedstuffs. Therefore two experiments were conducted to study the effect of amino acid determination methods on broiler performance. In experiment I, two hundred thirty four male Ross broiler chicks were fed a commercial starter diet from d 1 to 16 of age followed by the test diets from d 17 to 21 to determine the digestible amino acids content of wheat, corn and soybean meal. The 3 test diets consisted of corn, wheat or soybean meal was used as the sole sources of protein. On d 21, birds were killed and ileal digesta were collected for determining standardized ileal amino acid digestibility (SID). The in vivo values of SID were compared with values predicted by NIRS and regression methods. Experiment II was conducted to compare the effect of feed formulation based on SID determined by in vivo with regression and NIRS prediction methods on broiler performance. The results showed that the SID contents of wheat and corn predicted by NIRS and regression method were close to in vivo values. Values predicted by NIRS and regression for soybean meal varied when compared with those ofin vivo assay. Although, these differences were not appeared when comparing performance of broiler fed diets formulated based on SID values estimated throughin vivo trial, NIRS and regression methods. This study reveals that feed formulation based on digestible amino acids estimated by NIRS and regression methods are reliable for feed formulation in commercial poultry production.

References

Amino Dat 4.0. (2010). Amino Dat Tm The amino acid composition of feedstuffs, Evonik Degussa, Platinum version. Hanau, Germany.
Applegate T.J., Adedokun S.A., Adeola O., Parsons C.M. and Lilburn M.S. (2008). Amino acid digestibility-methodology and application. Multistate Poult. Feed. Conf., Indianapolis, IN.
Aviagen. (2007). Ross 308 Broiler Nutrition Specification. Aviagen Company, Scotland.
Bodin J.C. and Aubret J.M. (2005) The NIRS method to support practical feed formulation. Pp. 420- 427 in Proc. 15th European Symp. Poult. Nutr., Balatonfured, Hungary.
Commission Directive. (1998). Establishing community methods for the determination of amino acids, crude oils and fats, and olanquindox in feeding stuff and amending Directive 71/39/EEC, annex part A. Determination of amino acids. Off. J. Eur. Commun. 257, 14-23.
Cravener T.L. and Roush W.B. (2001). Prediction of amino acid profile in feed ingredients: genetic algorithm calibration of artificial neural networks. Anim. Feed Sci. Technol. 90, 131-141.
Dari R.L., Penz J.R., Kessler A.M. and Jost H.C. (2005). Use of digestible amino acids and the concept of ideal protein in feed formulation for broilers. J. Appl. Poult. Res. 14, 195-203.
De CocaSinova D., Valencia G., Jiménez Moreno E., Lázaro R. and Mateos G.G. (2008). Apparent illeal digestibility of energy, nitrogen and amino acids of soybean meals of different origin in broilers. Poult. Sci. 87, 2613-2623.
Ebadi M.R., Sedghi M. Golian A. and Ahmadi H. (2011). Prediction of the true digestible amino acid contents from the chemical composition of sorghum grain for poultry. Poult. Sci. 90, 2397-2401.
Fontaine J., Hörr J. and Schirmer B. (2001). Near infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas, fishmeal, meat meal products and poultry meal. J. Agric. Food Chem. 49, 57-66.
Fontaine J., Schirmer B. and Horr J. (2002). Near infrared reflectance spectroscopy (NIRS) enables the fast and accurate prediction of essential amino acid contents. 2. Results for wheat, barley, corn, triticale, wheat bran / middlings, rice bran and sorghum. J. Agric. Food Chem. 50, 3902-3911.
Harrison M.D., Ballard M.R.M., Barclay R.A., Jackson M.E. and Stilborn H.L. (1991). A comparison of true digestibility for poultry and apparent ileal digestibility for swine. A classical in vitro method and NIR spectrophotometry for determining amino acid digestibility. Pp. 254-259 in Digestive Physiology in Pigs. M.W.A. Verstegen, J. Huisman and L.A. den Hartzog, Eds. Wageningen, Puduc.
Koch F. (2002). Practical advantages of fast amino acid determination with Amino NIRTM. Amin. News. 3(3), 1-8.
Liu Y.G., Swick R.A. and Greswell D. (2012). Assessing metabolizable energy and digestible amino acids of different soybean meals by NIRS and broiler performance. Pp 55-58 in Australian Poult. Sci. Symp. Australia.
Llames C. and Fontaine J. (1994). Determination of amino acids in feeds: collaborative study. J. AOAC Int. 77, 1362-1402.
NRC. (1994). Nutrient Requirements for Poultry. 9th Rev. Ed. National Academy Press, Washington, DC.
Owens B., McCann M.E., McCracken K.J. and Park R.S. (2009). Prediction of wheat chemical and physical characteristics and nutritive value by near-infrared reflectance spectroscopy. Br. Poult. Sci. 50, 103-122.
Rostagno H.S., Pupa J.M.R. and Pack M. (1995). Diet formulation for broilers based on total versus digestible amino acids. J. Appl. Poult. Res. 4, 293-299.
SAS Institute. (2004). SAS/STAT Software Version 9.1 SAS Inst. Inc., Cary, NC.
Sedghi M., Ebadi M.R. Golian A. and Ahmadi H. (2011). Estimation and modeling true metabolizable energy of sorghum grain for poultry. Poult. Sci. 90, 1138-1143.
Sedghi M., Ebadi M.R., Golian A. and Ahmadi H. (2012). Prediction of digestible amino acid and true metabolizable energy contents of sorghum grain from total essential amino acids. Poult. Sci. 90, 2397-2401.
Sibbald I.R. (1987). Estimation of available amino acids feeding stuffs for poultry and pigs: a review with emphasis on balance experiments. Canadian J. Anim. Sci. 67, 221-300.
Soleimani Roudi P., Golian A. and Sedghi M. (2012). Metabolizable energy and digestible amino acid prediction of wheat using mathematical models. Poult. Sci. 91, 2055-2062.
Urriola P.E., Hoehler D., Pedersen C., Stein H.H. and Shurson G.C. (2009). Amino acid digestibility of distillers dried grains with solubles, produced from sorghum, a sorghum-corn blend, and corn fed to growing pigs. J. Anim. Sci. 87, 2574-2580.
Van Kempen T. and Bodin J.Ch. (1998). Near infrared reflectance spectroscopy (NIRS) appears to be superior to nitrogen-based regression as a rapid tool in predicting the poultry digestible amino acid content of commonly used feedstuffs. Anim. Feed Sci. Technol. 76, 139-147.
Van Kempen T.A.T.G. and Simmins P.H. (1997). Near infrared reflectance spectroscopy in precision feed formulation. J. Appl. Poult. Res. 6, 471-477.
Williams C.H., David D.J. and Iismaa D. (1962). The determination of chromic oxide in feces samples by atomic absorption spectrophotometry. J. Agric. Sci. 59, 381-385.

Files

History

  • Receive Date: 11 May 2013
  • Revise Date: 15 June 2013
  • Accept Date: 01 July 2013

Share

How to cite

Statistics