Document Type : Research Paper
Authors
1 Tehran University, Department of Animal Science
2 Department of animal science, Faculty of agriculture and natural sources, university of Tehran
3 University of Guilan,, Department of Animal Science
Abstract
The effect of the type of fat and different levels of betonies in the diet on production and quality indicators of feed (pellet) was investigated by using a completely randomized design with nine treatments and four replications. The experimental treatments included the combination of 0 and 1.5% crude soybean oil and calcium fat powder with three levels of betonies (0, 1 and, 2%). The measured indicators include the efficiency of the pellet press machine (electricity consumption, production rate per unit of time and dry matter of the final product), qualitative indicators of pellet after production (strength and hardness) and the percentage of intact pellets after feeder plats and lines in the poultry farm environment. The use of fat in the feed reduced the amount of electricity consumption and improved the production rate per unit of time and dry matter percentage of the final product compared to non-fat treatments. In this case, the production rate per unit of time in the fat powder treatment with 2% bentonite was higher than other treatments (P< 0.05). The pellet durability index that was evaluated by tumbling method in fat powder treatment without bentonite was higher than other experimental treatments (P<0.05). In addition, the percentage of intact pellets after auto feeder lines was higher in fat-containing treatments, particularly fat powder treatment without bentonite, than other treatments (P<0.05). The highest correlation coefficient between the percentage of intact pellets and the pellet durability index was related to the Tumbling method in auto feeder lines. Based on the results of the present experiment, using fat powder instead of oil in pellet feed and adding one percent of bentonite to the diet improves the pellet quality and its production performance indicators in the factory.
Keywords
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