Adjustment of equations to predict the metabolizable energy of corn for meat type quails

Abstract

The metabolizable energy (ME) determination for foods used in quail diets, through metabolism assays, takes time, infrastructure and financial resources, which makes the development of prediction equations based on proximal composition of foods to estimate the ME values of particular interest. The objective of this study was to adjust the prediction equations of metabolizable energy (ME) of corn for quail. The chemical compositions of 12 maize varieties were determined and a metabolism assay was carried out in order to determine the apparent metabolizable energy (AME) and nitrogen-corrected apparent metabolizable energy (AMEn) of these corn varieties. The values of chemical composition, AME and AMEn, converted to dry matter, were used to adjust the prediction equations. The initial adjustment of simple and multiple linear regression of the AME and AMEn was performed using the values of crude protein (CP), ether extract (EE), neutral (NDF) and acid (ADF) detergent fiber, mineral matter (MM), calcium (Ca) and phosphorus (P) as regressors (full model). To adjust the prediction equations the statistical procedure of simple and multiple linear regression was used, with the technique of indirect elimination (Backward). There was adjustment of 10 prediction equations, in which 5 were for AME and another 5 for AMEn and the R² values ranged from 0.20 to 0.75 and from 0.21 to 0.78, respectively. For all adjusted equations, negative correlations for MM were observed, which may be related to its dilutive effect of the gross energy contained in corn. In conclusion, the equations that showed better adjustment were AME= 5605. 46 -385 alimentos. Objetivou-se com este trabalho ajustar equações de predição dos valores de EM do milho para codornas de corte. Foi determinada a composição química de 12 diferentes cultivares de milho e realizado um ensaio de metabolismo, com estas cultivares, para determinação da EM aparente (EMA) e EMA corrigida para balanço de nitrogênio (EMAn).De posse da composição química, e dos valores de EMA e EMAn, convertidos para a matéria seca, procedeu-se com o ajuste das equações de predição. O ajuste inicial dos modelos de regressão linear simples e múltipla, dos dados de EMA e EMAn, foi realizado utilizando-se os valores de proteína bruta (PB), extrato etéreo (EE), fibras em detergentes neutro (FDN) e ácido (FDA), matéria mineral (MM), cálcio (Ca) e fósforo (P) como regressoras (modelo completo). Para o ajustamento das equações de predição, dos valores de EMA e EMAn, foi utilizado o procedimento de regressão linear simples e múltipla, por meio da técnica de eliminação indireta (Backward). Houve ajustamento de 10 equações de predição da EM do milho, sendo 5 para EMA e 5 para EMAn, cujos valores de R² variaram de 0,20 a 0,75 e de 0,21 a 0,78, respectivamente. Em todas as equações ajustadas observouse correlação negativa para a matéria mineral, o que pode estar associado ao seu efeito diluente da energia bruta contida nos milhos. Conclui-se que as equações que apresentaram melhor ajustamento foram...

427 Using near-infrared spectroscopy to predict the metabolizable energy of corn for pigs

“…The CP contents found in this study resemble the average (7.88 %) proposed by Rostagno et al (2011) and are similar to those found by Pasquetti et al (2015). The ADF values were greater than 3.00 %, reaching 4.27 %.…”

“…The corn cultivars used in the metabolism assay showed DM values ranging from 86.57 % to 89.71 % (Table 4). Mineral matter contents ranged from 0.90 % to 1.32 %, corroborating the findings of Pasquetti et al (2015). The EE values varied from 3.32 % to 3.61 %, near the average (3.65 %) proposed by Rostagno et al (2011) and also consistent with the value (3.48 %) displayed in the NRC (2012).…”

“…The effectiveness of different equations for each method of analysis can be justified by the fact that most equations tested had MM as regressive variable, as explained earlier. In addition, MM has a negative effect on ME, since it acts as a diluent of GE, reducing the organic matter content in foods (Morgan et al, 1987;Pasquetti et al, 2015).…”

Historical flaws in bioassays used to generate metabolizable energy values for poultry feed formulation: a critical review

“…The ME assayed in different species or breeds of poultry can vary. The animals used include growing chicks (Hill and Anderson, 1958 ; Waititu et al, 2018 ), layers (Mitchell and Haines, 1927 ; Zuber and Rodehutscord, 2017 ), roosters (Sibbald, 1975 ; Deng et al, 2016 ), turkeys (Leeson et al, 1974 ; Kozlowski et al, 2018 ), ducks (King et al, 1997 ; Kong and Adeola, 2010 ), geese (Wang et al, 2017a ), pigeons (Hullar et al, 1999 ; Sales and Janssens, 2003 ), and quails (Mandal et al, 2006 ; Pasquetti et al, 2015 ). In industry, however, the database ME values invariably rely on broiler, to a lesser extent, adult rooster bioassays, with ME values of many ingredients unavailable for minor species.…”