LCA Analysis
Description
Data from experiment 1 (25 piglets) and experiment 2 (40 piglets). Performance responses and environmental impacts were subjected to variance analysis using the GLM procedure (Statistical Analysis System, version 9.2). The statistical model included effects of phytase level and block. For significant dietary effect, regression analysis was performed. The degrees of freedom regarding phytase levels were deployed into polynomials, for each significative variable at variance analysis. All statistical analysis was performed using SAS (Statistical Analysis System, version 9.2).
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Experiment I Twenty-five crossbreed barrow piglets, were housed in metabolic cages, in a partially controlled environment room, using air conditioning equipment’s. The experimental design was set in randomized blocks, replicated in time. The experimental unit consisted of a pig. The pigs received two daily meals. The total daily amount was determined according to the intake in the adaptation phase, based on metabolic weight (BW0.75). To calculate the nitrogen and phosphorus balance, total feces collection was performed. Feces were daily collected, stored in plastic bags, and kept in freezer. Urine was totally collected in plastic buckets containing 20 mL of HCl 1:1, and a 20% sample was daily collected and frozen. Experiment II Forty crossbred barrows were used. The animals were allotted in a randomized blocks design of one animal per experimental unit. The pigs were weighted at the beginning and at the end of the trial, as well as feed supplies and refusals. These data were used to calculate feed conversion (FC), average daily gain (ADG) and average daily feed intake (ADFI). Performance responses and environmental impacts were subjected to variance analysis using the GLM procedure (Statistical Analysis System, version 9.2). The statistical model included effects of phytase level and block. For significant dietary effect, regression analysis was performed. The degrees of freedom regarding phytase levels were deployed into polynomials, for each significative variable at variance analysis. All statistical analysis was performed using SAS (Statistical Analysis System, version 9.2).