Can the Fine Wheat Bran be a Betaine Source in Poultry Diets?

The effect of fine wheat bran (FWB) as a methyl donor source on performance, metabolism, body composition and blood traits of growing broilers was studied. Three hundred and twenty broilers from eight to 28 d of age, distributed in a randomized block design, with five treatments and eight replicates of eight animals each were used. The experimental diets were: NC, formulated with 72% of the Met+Cys requirement; Met, formulated with 85% of the Met+Cys equivalents by DL-methionine addition; Bet, formulated with 85% of the Met+Cys equivalents by anhydrous betaine addition; Fwb-, formulated with 72% of the Met+Cys requirement and 20% FWB; and Fwb+, formulated with 85% of the Met+Cys requirement and 20% FWB. Feed intake was reduced (p 0.05) by FWB inclusion but the feed conversion ratio was the same (p>0.05) between the positive control diets. Supplementation of DL-methionine and anhydrous betaine showed the same (p>0.05) metabolizability of nutrients. Treatments with higher DL-methionine levels (Met and Fwb+) promoted more weight of feathers (p 0.05). Animals fed with FWB showed the lowest (p 0.05) body gains. In conclusion, FWB inclusion did not promote methyl radicals supply.(AU)

Can the Fine Wheat Bran be a Betaine Source in Poultry Diets?

The effect of fine wheat bran (FWB) as a methyl donor source on performance, metabolism, body composition and blood traits of growing broilers was studied. Three hundred and twenty broilers from eight to 28 d of age, distributed in a randomized block design, with five treatments and eight replicates of eight animals each were used. The experimental diets were: NC, formulated with 72% of the Met+Cys requirement; Met, formulated with 85% of the Met+Cys equivalents by DL-methionine addition; Bet, formulated with 85% of the Met+Cys equivalents by anhydrous betaine addition; Fwb-, formulated with 72% of the Met+Cys requirement and 20% FWB; and Fwb+, formulated with 85% of the Met+Cys requirement and 20% FWB. Feed intake was reduced (p 0.05) by FWB inclusion but the feed conversion ratio was the same (p>0.05) between the positive control diets. Supplementation of DL-methionine and anhydrous betaine showed the same (p>0.05) metabolizability of nutrients. Treatments with higher DL-methionine levels (Met and Fwb+) promoted more weight of feathers (p 0.05). Animals fed with FWB showed the lowest (p 0.05) body gains. In conclusion, FWB inclusion did not promote methyl radicals supply.

Avaliação de modelos de predição da energia metabolizável do milho para suínos / Evaluating models to predict the metabolizable energy of maize for swine

Os objetivos propostos no presente trabalho foram a validação da predição de modelos de regressão linear de 1º grau, dos valores estimados de energia metabolizável (EM) em função dos valores observados de EM do milho, obtidos em ensaios biológicos com suínos. Setenta e quatro registros de composição química e energética do milho foram obtidos na literatura e utilizados para estimar a EM de 41 modelos de predição em função da composição química. A significância dos parâmetros (β0 e β1) da regressão foi avaliada pelo teste t parcial, e a validação da predição dos modelos de 1º grau foi obtida pela aceitação da hipótese de nulidade conjunta β0=0 e β1=1. Os modelos EM7 = 1,099 + 0,740EB - 5,5MM - 3,7FDN; EM9 = 16,13 - 9,5FDN + 16EE + 23PB*FDN - 138MM*FDN e EM13 = 5,42 - 17,2FDN - 19,4MM + 0,709EB são os mais adequados para estimar os valores de EM do milho e podem ser utilizados como ferramenta para formulação de rações para suínos.(AU)

The proposed objective of this study was to validate the prediction of linear regression models of the first degree, the estimated values of metabolizable energy (ME) regarding the observed ME values of maize obtained in biological assays with swine. Seventy four records of chemical and energetic composition of maize were obtained from literature and used to estimate the ME of 41 prediction models depending on the chemical composition. The significance of the regression parameters (β0and β1)was evaluated by partial t test and the prediction validation of first degree models was obtained by accepting the null hypothesis β0=0 and β1=1. The ME7= 1.099 + 0.740GE - 5.5MM - 3.7NDF; ME9= 16.13 - 9.5NDF + 16EE + 23CP*NDF - 138MM* NDF and ME13= 5.42 - 17.2 NDF - 19.4MM + 0.709GE models are the most adequate to estimate the metabolizable energy of maize and can be used as a tool to formulate diets for swine.(AU)