| Grant number: | 07/06707-8 |
| Support type: | Scholarships in Brazil - Post-Doctorate |
| Effective date (Start): | January 01, 2008 |
| Effective date (End): | June 30, 2009 |
| Field of knowledge: | Agronomical Sciences - Animal Husbandry - Animal Nutrition and Feeding |
| Principal Investigator: | Carlos Ducatti |
| Grantee: | Cleusa Móri |
| Home Institution: | Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil |
Abstract Information about the quality of agro-industrial products consumed by the population is very important. Stable isotopes technique can contribute to restore the consumers confidence in such quality, as animal byproducts can be detected in poultry tissues and eggs, specially in quails. This study aimed at tracing the bovine meat and bone meal inclusion in quail diets through the analysis of eggs and their fractions (yolk and albumen) using the C and N stable isotopes technique. One hundred quails will be randomly distributed into five treatments. Each treatment will have four replicates of four quails each. Birds will receive the experimental diets and water ad libitum for 42 days in order to substitute their carbons and nitrogens for those of the diet. After this period 14 eggs of each treatment will be randomly chosen everyday for 3 consecutive days. Seven eggs will be used to collect yolk and albumen samples and more seven eggs to collect total egg samples. The experimental treatments will be: T1 (control): feed containing corn, soybean meal, wheat meal and without bovine meat and bone meal (BMBM); T2: feed containing corn, soybean meal, wheat meal and 0.40% crude protein (CP) from BMBM; T3: feed containing corn, soybean meal, wheat meal and 0.81% crude protein (CP) from BMBM; T4: feed containing corn, soybean meal, wheat meal and 1.62% crude protein (CP) from BMBM and T5: feed containing corn, soybean meal, wheat meal and 2.02% crude protein (CP) from BMBM. To determine the estimated inclusion percentage of BMBM in egg composition, the isotope dilution model using two sources and two isotopes will be employed. The isotope results obtained will be subjected to multivariate analysis of variance (MANOVA) using the statistical program SAS?s GLM (SAS Institute, 1999), Data will be generated by error matrices and then graphically distributed into regions (ellipsis) with 95% of confidence level for differences between the experimental treatment means and the control means. | |