The mathematical simulation of growth and productivity dynamics of cross chickens «Hisex Brown» and «Lohmann Brown»
DOI:
https://doi.org/10.15587/2312-8372.2016.72833Keywords:
bird crosses, distribution classes, growth dynamics, laying curve, mathematical modelsAbstract
Feasibility of using T. Bridges, A. Putter and L. von Bertalanffy mathematical models to predict and describe the dynamics of the growth of chickens of different crosses and distribution classes, as well as the use of McMilan mathematical model to predict and describe the egg productivity of chicken was studied. It was established that to predict, describe and analyze the age dynamics of bird body weight the most suitable are T. Bridges and A. Putter models. The accuracy of T. Bridges model is within 85,5-93,8 %. Adequacy of A. Putter model is within 96,0-93,8 % when comparing the actually received and theoretically certain indicators of body weight.
T. Bridges model is most suitable to differentiate the two cross chickens, the value of the asymptote (W∞) ranges in 2016,2-2155,5.
A. Putter model can most definitely use to differentiate the three classes of distribution of body weight: for «Hisex Brown» coefficient «ρ» is in the range:
(-0,6156)-(-0,6463), while for «Lohmann Brown» it is much lower:
(-0,7476)-(-0,8627).
Simulation of laying curve using McMilan model revealed contrast in the standards of its recession and increasing with age of layers. An adequacy of the model ranges in 81,2-81,6 %. «Hisex Brown» cross chickens have a delayed rate of egg production decline after the peak than «Lohmann Brown cross chickens». These mathematical models are important because they accurately describe the dynamics of the growth of chickens of different crosses and distribution classes, as well as their laying (the average percentage of deviation does not exceed 5 % threshold judgment on the validity of the data).
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