The purpose of this study was to investigate the growth pattern and dynamic nutritional deposition pattern of rapidly-growing yellow-feathered chickens(Xiangjia Yellow Chicken No.2)at 0-56 days of age.Aim to establish growth curves of body weight(BW)and average daily gain(ADG),deposition models of energy(TE),body protein(BP),body fat(BF),total amio acids(TAA).In order to provide scientific proof for accurate feeding of rapidly-growing yellow-feath-ered chickens.In this study,672 healthy 0-day-old rapidly-growing yellow-feathered chickens(No.2 Xiangjia,half male half female)were selected from the same batch of chicks.The growth performance indexes and body composition of male or female chickens were measured at the 0th,7th,14th,21st,28th,35th,42nd,49th,and 56th days of age.The results showed that BW,empty weight(EW),feather weight(FW),ADG,and the deposition of TE,BP,BF and TAA of chickens were significantly increased with the age(P＜0.001).The growth curves of BW,EW,FW and ADG,and the model for the weights and deposition of TE,BP,BF,and TAA were used to fit by three non-linear regression model,Gompertz,Logistic and Bertalanffy.Based on the coefficients of determination,residual sum of squares,mean squared error and the red pool information criterion of the regression model,the Gompertz model was more accurate than Logistic or Bertalanffy model.Using the Gompertz function equation,growth curves for BW,ADG,and the model for deposition of TE,BP,BF and TAA were developed for the Xiangjia No.2 yellow-feathered chickens.In conclusion,Gompertz model can accurately predict BW,ADG and the nutrient weights and deposition of the Xiangjia No.2 yellow feathered chicken,and also provide a basis for the study of its nutrient dynamic requirements and precise feeding.
rapidly-growing yellow-feathered chickensgrowth curvebody compositionnon-linear regression modelgrowth model
维普
万方数据
