Grant number: | 11/15882-3 |
Support Opportunities: | Scholarships in Brazil - Master |
Start date: | March 01, 2012 |
End date: | July 31, 2013 |
Field of knowledge: | Agronomical Sciences - Animal Husbandry - Pastures and Forage Crops |
Principal Investigator: | Luiz Gustavo Nussio |
Grantee: | Letícia Custódio |
Host Institution: | Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil |
Abstract Sugarcane silage typically has alcoholic fermentation and nutritivel value losses, with the reduction in sugar content due to ethanol production caused by yeasts growth in silage. It is necessary to obtain additives that, associated to ensiling, inhibit fermentation and improve forage quality, with minimum losses, which are observed when sugarcane is ensiled alone or with not effective additives. In phase one the goal will be to study control strategies for clostridia in sugarcane silages with chemical additives combined or not with microbial additives and evaluate the effects of these strategies on the chemical composition of the silages. Treatments are: 1) control, 2) 1% of CaO; 3) 1% of CaO and 5x105 L. plantarum; 4) 2% of Cao; 5) 2% of CaO and 5x105 L.plantarum, 6) 1% of CaO and 0.05% sodium nitrite and, 7) 2% of CaO and 0.05% sodium nitrite. As experimental silos there will be used plastic buckets of 20 L capacity and covers adapted with Bunsen valves. The experimental design will be completely randomized with four replications totalizing 28 experimental units. In phase 2, a performance trial will be conducted with feedlot beef cattle. There will be used 60 Nelore bulls, allocated in twenty pens each with three animals, in a randomized block design. The experimental diets will consist of 75% concentrate and 25% of one of the four sugarcane silages (% DM). The additives used in the four sugarcane silages will be defined based on the tests of phase 1. Data will be submitted to analysis of variance and the averages compared by orthogonal contrasts, using the GLM procedure of SAS. The variables measured more than once will be analyzed as repeated measures by the MIXED procedure of SAS. | |
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