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Levels of micronized soybean on the performance and digestibility of piglets in the initial phase and the residual effects in the growing and finishing phases

Abstract

Since weaning is a period of great stress to the piglets, has been observed, ingredients that can be included in the diet of them, order stimulate feed consumption, improving digestibility and reducing the level of changes in the morphology of the intestinal mucosal. Soybean meal, although being an economically viable option, brings several factors hindering their use in natura. However, the micronized soybean comes as an alternative, as it is reduced to small particles, through heat treated, becomes able to inhibit anti-nutritional activity, beyond to increasing the solubility and to facilitate the assimilation of nutrients. With the aim to evaluate the effect of replacing soybean meal for extruded soy in the diet of weaned piglets, the experiment will be conducted by the Division of Swine, at Instituto de Zootecnia of Nova Odessa, São Paulo. Will be tested 5 levels of micronized soybean ( 0 % , 25 % , 50 % , 75 % and 100 % ). The experiment is divided into three periods: Period 1 - Test performance of the initial phase , which will be used 70 pigs with homogeneous weight and age of 21 days, distributed in a randomized block (defined by initial weight and sex) with five treatments, seven replications (blocks) per treatment and two animals per experimental unit (pen), weight gain, feed intake, feed conversion, rate of diarrhea and economic feasibility will be assessed . Period 2 - Performance test during the growing / finishing phase for the assessment of residual effects of the first period on performance, residual feed intake (RFI), carcass characteristics, meat quality and proteomics, the same animals used in Period 1. Period 3 - Digestibility trial , which will be used 25 piglets in metabolic cages with five replicates per treatment, using the method of total collection of feces and urine, and testing the same experimental diets Period 1. Data will be analyzed using the MIXED program of SAS. (AU)

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