In classical breeding, animals of fattening material are picked up on the basis of a fixed fattening period or fattening weight. In this case, it can come out with unforeseen individual differences in the growth and fattening performances of the animals. If the animals which growth and fattening performance is not sufficient, continuation of the feed may lead to economic loss or while it is possible to produce higher meat, there may be a possible deprivation of utility with the early sale of these animals. In this study, it was aimed to develop a decision mechanism for continuing the feeding, if the expected live weight gain for the lambs is economical, otherwise the slaughtering should be referred. For this purpose, live weight of the lambs was taken from birth until the sixth month and then the first 4 months of live weights were extrapolated to the expected weights of the animals in the fifth month by using parameter estimation of the Gompertz growth curve and Shape-Preserving piecewise cubic interpolation (SPPCI) methods. With this method, it is aimed to establish a decision support system about whether fattening will be cut or not in the fourth. Profitability in this direction was determined by taking the difference between the estimated product price at the end of one month fattening and the fattening cost calculated over 3% dry matter consumption According to the research findings, it is determined that the mean of the deviations of the estimations made by the Gompertz growth curve method is higher than the SPPCI method but the standard deviation is lower. Taking into consideration the evaluations made using birth weight and the first 3 months of live weight, it is considered that the SPPCI method can be used to estimate the next measurement point and the Gompertz growth curve method can provide more reliable estimates for the estimation of more distant measurement points.
Primary Language | English |
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Subjects | Zootechny (Other) |
Journal Section | Research Articles |
Authors | |
Publication Date | January 1, 2019 |
Submission Date | October 22, 2018 |
Acceptance Date | November 14, 2018 |
Published in Issue | Year 2019 Volume: 2 Issue: 1 |