Akademik Veri Yönetim Sistemi
BRAZILIAN JOURNAL OF POULTRY SCIENCE, cilt.26, sa.4, 2024 (SCI-Expanded)
Adana dewlap pigeons are a special kind of pigeon bred in the Adana region of Turkey. These pigeons differ from other pigeon species due to their flight characteristics. In this study, the mathematical models that explain the growth dynamics of Adana pigeons were examined and the one capable of the best predictions was determined. The incubation period of pigeons happens two or three times per year. For this reason, only one or two pairs of pigeons can be yearly reared from an adult pair of pigeons. The hatchlings die before they reach adulthood for various reasons. In this study, 43-day body weight measurements of 88 pigeons reared over a 7-year period were used. The study was carried out by taking the average of the 43-day weight measurements of these 88 pigeons. Special Matlab codes were developed to estimate the parameters in the mathematical growth models used. The performance of the most commonly used growth models when explaining the growth dynamics of Adana pigeons is discussed in this study, an issue that to the best of our knowledge had not yet been studied. Among these growth models, the Richards growth function gave the best results. The new data set obtained from 43-day weight measurements of 88 pigeons was considered as a time series. For this purpose, a discrete-time stochastic Gompertz model (DTSGM) was used to explain the growth dynamics, and modeling was done to explain the growth of Adana pigeons. It is assumed that the unknown parameter in this model changes with time. The Kalman filter (KF) was used for the time-varying estimation of this parameter. The aim of the study was to investigate whether the model and estimation method considered in this way is suitable for explaining the growth dynamics of these birds. The results obtained by considering DTSGM and estimating its parameter with KF showed that MSE provides a good analysis tool for modeling daily weight in terms of mean absolute percent error (MAPE) and R 2 criteria. It is suggested that the use of DTSGM and KF is appropriate.