Document Type : Research Paper

Authors

1 Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran

2 Department of microbiology, Shahed University of medical science, Tehran, Iran

Abstract

This experiment was conducted to determine the metabolizable energy of wheat, barley and corn produced in Iran using biological method (in vivo) and comparison with equations and estimates obtained from NIRs and NRC. Wheat, barley and corn grains were chemically analyzed according to AOAC standard methods and NIRs.
Biological method was performed using 48 adult roosters (Red Island) at the age of 83 weeks
were using the precision-feeding method. Results of using equations for wheat and barley the highest amount of metabolizable energy (3.71 and 3.45 kcal / g) and the lowest (3.11 and 2.87 kcal / g) by equations respectively Carpenter and Jensen were observed (P <0.05). Corn grain showed the highest amount of metabolizable energy (3.91 kcal / g) by Carpenter and Jensen equations and the lowest amount of metabolizable energy (3.06 kcal / g) by EEC equation (P<0.05).The amount of metabolizable energy obtained from biological methods for corn, wheat and barley (3.323, 3.1724 and 2.9543 kcal / g), compared to standard NRC tables (3.350, 3.120, and 2.640 Kcal / g) and NIR (3.324, 3.324 and 2.735 kcal / g), respectively (P<0.05). It is suggested that equations be prepared for domestically produced cereal cultivars and that rations be adjusted according to the amount of energy variation. Because this variation is important in regulating feed economically and cost-effectively.

Keywords

زادگان، م., احمد، آبادی, ح.، احمد, مقدم, ن.، حسن، حیدر (2019). تعیین معادلات رگرسیونی پیش بینی مقادیر انرژی قابل متابولیسم ارقام پرتولید جو در ایران و مقایسه نتایج حاصل با نتایج روش NIRS و ارقام مندرج در جداول NRC بر اساس عملکرد جوجه‌های گوشتی نر. پژوهشهای علوم دامی ایران، 12.
سید بهروز قدس علوی، حسین مروج، محمود شیوازاد (1396). تعیین و مقایسة معادلات تخمین انرژی قابل سوخت وساز برخی ارقام گندم ایرانی با معادلات و اطلاعات جدول NRC بر اساس عملکرد تولیدی جوجه های گوشتی . تولیدات دامی، دوره 19 شماره 2، ص 455-466.
Akbari, R., H. Moravej, and K. Rezayazdi. 2015. Prediction of metabolizable energy of current barley cultivars in Alborz province by linear regression equations. Iranian Journal of Animal Science, 46 (20): 73-81. (In Persian).
Allen, R. (1984). Feedstuffs ingredient analysis table. Feedstuffs, 56(30), 25-23
Alvarenga, R., Rodrigues, P., Zangeronimo, M., Makiyama, L., Oliveira, E., Freitas, R., Bernardino, V. (2013). Validation of prediction equations to estimate the energy values of feedstuffs for broilers: performance and carcass yield. Asian-Australasian journal of animal sciences, 26(10), 1474.
Ball, M., Owens, B., & McCracken, K. (2013). The effect of variety and growing conditions on the chemical composition and nutritive value of wheat for broilers. Asian-Australasian journal of animal sciences, 26(3), 378.
Batal, A., Dale, N., & Persia, M. (2011). Ingredient analysis table: 2012 edition. Irving, TX: Informa.
Choct, M., Hughes, R., & Annison, G. (1999). Apparent metabolisable energy and chemical composition of Australian wheat in relation to environmental factors. Australian Journal of Agricultural Research, 50(4), 447-452.
Council, N. R. (1994). Nutrient requirements of poultry: 1994: National Academies Press.
Firman, D. (2006). Evaluation of the metabolizable energy of poultry by-product meal for chickens and turkeys by various methods. International Journal of Poultry Science, 5(8), 753-758.
Guo, P., Li, P., Li, Z., Stein, H.-H., Liu, L., Xia, T., Ma, Y. (2015). Effects of post-harvest storage duration and variety on nutrient digestibility and energy content wheat in finishing pigs. Asian-Australasian journal of animal sciences, 28(10), 1488.
Janssen, W. (1989). European table of energy values for poultry feedstuffs. Wageningen, Holanda.
Jeroch, H., & Dänicke, S. (1995). Barley in poultry feeding: a review. World's Poultry Science Journal, 51(3), 271-291.
Kim, J., Mullan, B., Simmins, P., & Pluske, J. (2004). Effect of variety, growing region and growing season on digestible energy content of wheats grown in Western Australia for weaner pigs. Animal Science, 78(1), 53-60.
Leeson, S., Caston, L., & Summers, J. (1996). Broiler response to diet energy. Poultry science, 75(4), 529-535.
Nasiri, M.H., Danesh, M.M., & Shakouri, M. (2006). Nutritive value comparison of different barley cultivars with and without enzyme supplementation in broiler nutrition.
Noorghadimi, J., Moraveg, H., Ghaziani, F., & Akbari, R. (2016). Prediction the metabolizable energy of most wheat cultivars of Alborz province with a multiple regression equation. Iranian Journal of Animal Science 46(4): 379-388. [in Persian].
Parsaie, S., Shariatmadari, F., Zamiri, M., & Khajeh, K. (2006). Evaluation of starch, soluble and insoluble non-starch polysaccharides and metabolizable energy of 15 cultivars of Iranian wheat. J Agric Soc Sci, 2, 260-263.
Pirgozliev, V., Birch, C., Rose, S., Kettlewell, P., & Bedford, M. (2003). Chemical composition and the nutritive quality of different wheat cultivars for broiler chickens. British poultry science,  44(3)475-464.
Regmi, P., Ferguson, N., & Zijlstra, R. (2009). In vitro digestibility techniques to predict apparent total tract energy digestibility of wheat in grower pigs. Journal of animal science, 87(11), 3620-3629.
Wiseman, J., & McNab, J., (1995) . Nutritive value of wheat varieties fed to non-ruminants. HGCA Project Report (United Kingdom).
Yaghobfar, A. (2001). Effect of genetic line, sex of birds and the type of bioassay on the metabolisable energy value of maize. British poultry science, 42(3)350-353
Yaghobfar A. and F. Boldaji  (2002)  Influence of level of feed input and procedure on metabolisable energy and endogenous energy loss (EEL) with adult cockerelsBritish Poultry Science 43: 696–704.
Yaghoubfar, A., Mirzaei, S., Valizadeh, H., & Safamehr, A. (2012). Determination of Non-Starch Polysaccharides (NSP) and Metabolizable Energy of Iran Wheat Varieties Fed to Poultry. Iranian Journal of Animal Science Research 4(1): 25-31. [in Persian]
Yegani, M., & Korver, D. (2012). Prediction of variation in energetic value of wheat for poultry. Canadian Journal of Animal Science, 92(3), 261-273.
Yegani, M., Swift, M., Zijlstra, R., & Korver, D. (2013). Prediction of energetic value of wheat and triticale in broiler chicks: A chick bioassay and an in vitro digestibility technique. Animal feed science and technology, 183(1-2), 40-50.