Publisher : Asian Australasian Association of Animal Production Societies
DOI : 10.5713/ajas.2003.830
Title & Authors
Variation in Nutritive Value of Commercial Broiler Diets Ru, Y.J.; Hughes, R.J.; Choct, M.; Kruk, J.A.;
The classical energy balance method was used to measure the apparent metabolisable energy (AME) of four batches of broiler starter and finisher diets produced by two commercial feed companies. The results showed there was little variation in protein content between batches, but NDF content varied from 13.3% to 15.5% between batches of diet. The batch variation in chemical composition differed between feed manufacturers. While there was no difference in AME and feed conversion ration (FCR) between batches of starter diets produced by company A, FCR and AME ranged from 1.76-1.94 (p<0.001) and 11.38-11.90 MJ/kg air dry (p<0.05), respectively, for diets produced by company B. Similar results were found in a second experiment. There was no difference in AME, dry matter digestibility (DMD) and FCR between batches for finishing diet produced by company B, but a large variation occurred for the finisher diets from company A (p<0.01), where the ranges of FCR, AME and DMD were 1.95-2.30, 10.5-12.3 (MJ/kg air dry) and 58-68%, respectively. FCR was correlated with AME. AME was negatively related to the content of fibre in the diet, but positively related to DMD. The preliminary results based on 24 samples showed that near infrared spectroscopy (NIR) has the potential to predict FCR, intake, AME and DMD of commercial broiler diets, with being 0.93, 0.89, 0.95 and 0.98, respectively. The standard error of cross validation was below 0.2 for AME and only 0.06 for FCR.
Annison, G. 1993. The chemistry of dietary fibre. In: 'Dietary Fibre and Beyond-Australian Perspectives'. S. Samman and G. Annison (Ed). Nutrition Society of Australia. Occasional Publication Vol. 1 pp.1-18
AOAC. 1980. Official Methods of Analysis. 13th edn. Association of Official Analytical Chemists, Washington, D.C.
Choct, M. and R. J. Hughes. 1997. The nutritive value of new season grains for poultry. In: Recent Advances in Animal Nutrition in Australia, pp. 146-150. J. L. Corbett, M. Choct, J. V. Nolan and J. B. Rowe (Ed.). University of New England. Armidale, Australia.
Edney, M. J., J. E. Morgan, P. C. Williams and L. D. Campbell. 1994. Analysis of feed barley by near infrared reflectance technology. J. Near Infrared Spectroscopy. 2:33-42
Garnsworthy, P. C., J. Wiseman and K. Fegeros. 2000. Prediction of chemical, nutritive and agronomic characteristics of wheat by near infrared spectroscopy. J. Agric. Sci. Camb. 135:409-417
Hughes, R. J. and M. Choct. 1999. Chemical and physical characteristics of grains related to variability in energy and amino acid availability in poultry. Aust. J. Agric. Res. 50:689-701
Mollah, Y., W. L. Bryden, I. R. Wallis, D. Balnave and E. F. Annison. 1983. Studies on low metabolisable energy wheats for poultry using conventional and rapid assay procedures and the effects of processing. Br. Poult. Sci. 24:81-89
Rogel, A. M., E. F. Annison, W. L. Bryden and D. Balnave. 1987. The digestion of wheat starch in broiler chickens. Aust. J. Agric. Res. 38:639-649
Pirgoziev, V. R. and S. P. Rose. 2001. Storage of sprounted and non-sprouted wheat samples on their metabolisable energy and broiler growth performance. Br. Poult. Sci. 42:Suppl. S102-103
Schumaier, G. and J. McGinnis. 1967. Metabolisable energy values of wheat and some by-product feedstuffs for growing chicks. Poult. Sci. 46:79-82
Sibbald, I. R. and J. Slinger. 1962. The metabolisable energy of materials fed to growing chicks. Poultry Sci. 41:1612
Steenfeldt, S. 2001. The dietary effect of different wheat cultivars for broiler chickens. Br. Poult. Sci. 42:595-609
Valdes, E. V. and S. Leeson. 1992a. The use of near infrared reflectance spectroscopy to measure metabolisable energy in poultry feed ingredients. Poult. Sci. 71:1559-1563
Valdes, E. V. and S. Leeson. 1992b. Near infrared reflectance analysis as a method to measure metabolisable energy in complete poultry feeds. Poult. Sci. 71:1179-1187