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M Zaghari ; S Khalaji ; M Shivazad ;Revista Brasileira de Ciência Avícola 2012, 14 4

Autor: A Malakzadegan

Fuente: http://www.redalyc.org/


Introducción



Revista Brasileira de Ciência Avícola ISSN: 1516-635X revista@facta.org.br Fundação APINCO de Ciência e Tecnologia Avícolas Brasil Malakzadegan, A; Zaghari, M; Khalaji, S; Shivazad, M Crude protein equivalence value of a multi-enzyme product for 28- and 42-day-old broilers Revista Brasileira de Ciência Avícola, vol.
14, núm.
4, diciembre, 2012, pp.
297-303 Fundação APINCO de Ciência e Tecnologia Avícolas Campinas, SP, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=179725221010 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Brazilian Journal of Poultry Science Revista Brasileira de Ciência Avícola ISSN 1516-635X Oct - Dec 2012- v.14 - n.4 - 233-304 Crude Protein Equivalence Value of a MultiEnzyme Product for 28- and 42-Day-Old Broilers Technical Note Author(s) Malakzadegan A* Zaghari M1 Khalaji S1 Shivazad M1 Department of Animal Science, College of Agriculture and Natural Resource, University of Tehran, Karaj31587-11167, Iran 1 Mail Adress *Corresponding author’s name and address: A.
Malakzadegan , Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, 31587-11167, Karaj, Iran. Telephone: 98 261 2248082; FAX 98 261 2246752. Email: ahmad_malakzadegan@yahoo.com Keywords Multi enzyme, y equivalent value, crude, broiler. Submitted: March-2011 Approved: October-2012 ABSTRACT In order to estimate the crude protein (CP) equivalence value of Natuzyme-p (NP) enzyme by using regression response equations, two experiments were carried out using Ross (308) broiler chicks.
Graded levels of dietary CP (while amino acids levels were kept constant) and NP enzyme were used to derive the regression equation in the first experiment.
Four levels ...





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