Iranian Journal of animal Science

Iranian Journal of animal Science

Determination the optimum level of corn germ in broilers diet based on multiple attribute decision making method and maximizing economic profit

Document Type : Research Paper

Authors
Amir Hossein Alizadeh-Ghamsari 1
Sayed Abdoullah Hosseini 2
Farid Shariatmadari 3
Majid Tavakkoli 4
Houshang Lotfollahian 1
1 Assistant Professor, Animal Science Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
2 Associate Professor, Animal Science Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
3 Professor, Department of Poultry Science, College of Agriculture, Tarbiat Madres University, Tehran, Iran
4 Former M.Sc. Student, Department of Poultry Science, College of Agriculture, Tarbiat Madres University, Tehran, Iran
10.22059/ijas.2019.280911.653701
Abstract
An experiment was undertaken to determine the optimum level of corn germ (high-oil content) in broilers diet. This experiment was conducted in a completely randomized design with 5 experimental groups, 5 replicates and 30 birds per each experimental unit from 15 to 42 days of age. Experimental groups were included birds received levels of zero (control), 5, 10, 15 and 20 percentage of corn germ in diet. During the experiment performance traits, productive index, feed cost per kilogram of live body weight, humoral immune responses and intestinal histomorphology were evaluated. To determine the optimum level of corn germ in diet, technique for order preference by similarity to ideal solution (TOPSIS) and maximizing economic profit method were applied. According to the results, optimum level of dietary corn germ inclusion based on TOPSIS and economic methods were 6.59 and 6.98 percent, respectively.
Keywords
Broiler Chicken
corn germ
economic method
multiple attribute decision making
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Iranian Journal of animal Science
Volume 50, Issue 2
Summer 2019
Pages 149-157

  • Receive Date 12 May 2019
  • Revise Date 31 July 2019
  • Accept Date 15 September 2019