A hybrid model of uniform design and artificial neural network for the optimization of dietary metabolizable energy, digestible lysine, and methionine in quail chicks

Abstract

KeywordsQuail chick, nutritional requirement, uniform design, neural network.Submitted: September/2013 Approved: June/2014 ABSTRACT A uniform design (UD) was used to construct models to explain the growth response of Japanese quails to dietary metabolizable energy (ME), and digestible methionine (dMet) and lysine (dLys) under tropical condition. In total, 100 floor pens with seven birds each were fed 25 UD different diets containing 25 ME (2808-3092 kcal/kg), dMet (0.31-0.49% of diet), and dLys (0.91-1.39% of diet) levels from 7 to 14 d of age. A platform of artificial neural network based on UD (ANN-UD) was generated to describe the growth response of the birds to dietary inputs using random search. Artificial neural networks of body weight gain (BWG) and feed conversion ratio (FCR) were optimized using random search algorithm. The optimization the ANN-UD results showed that maximum BWG may be achieved with 2995 kcal ME/kg, 0.45% dMet, and 1.18% dLys of diet; and minimum FCR may be obtained with 3000 kcal ME/kg, 0.45% dMet, and 1.17% dLys of diet. The result of this study showed that a ANN and UD hybrid model can be used successfully to optimize the nutritional requirements of quail chicks.

Immunoregulatory and antioxidant properties of tryptophan in quail chick

“…Each model consisted of linear or non-linear parameters (compartments) that could be converged to make a mathematical equation relating the nutrient doses with animal responses. In general, the biological models follow the non-linear manner that has been illustrated in different platforms, including broken lines [ [9] , [10] , [11] , 28 , 29 ], response surface methodology [ [30] , [31] , [32] ], uniform design [ 33 ], artificial neural networks [ 34 , 35 ], and three or four-parameter models [ 36 ] by researchers. The other methods used to estimate the amino acid requirements in monogastric animals are the non-linear logistic and saturation kinetic models [ 37 , 38 ], Rayleigh [ 36 ], and exponential models [ 39 ].…”

Estimation of lysine requirements for growing Japanese quails

“…In this study, we used several regression models, five types of broken line models and the quadratic polynomial, to estimate the lysine requirement of growing quails. Different models and design of experiments (DOE) have been used for estimation of nutritional requirements in birds and domestic animals (Baker, Batal, Parr, Augspurger, & Parsons, 2002;De Leon, Kidd, & Corzo, 2010;Ghazaghi, Mehri, Yousef-Elahi, & Rokouei, 2012;Mehri, 2012Mehri, , 2014Mehri, Davarpanah, & Mirzaei, 2012;Mehri & Ghazaghi, 2014;Mehri, Nassiri Moghaddam, Kermanshahi, & Danesh-Mesgaran, 2013;Mercer, 1992) but as Pesti et al (2009) suggested, each model may have some advantages and disadvantages. For instance, although second-order polynomials are easy to fit to data, the inclusion of input data below or above those points that are required for maximum or minimum responses, resulting in remarkable changes in requirement estimates ).…”

Inverse Modelling to Estimate Soil Hydraulic Properties at the Field Scale

“…e UD method has attracted attention in many studies in various fields [42][43][44][45][46] because it has the following distinct characteristics: space filling, robustness, and multiple levels [40,41]. ese characteristics have led to the UD method becoming one of the major current experimental design approaches in China.…”