Use of Mathematical Models in the Analysis of Growth and Commercial Performance of Brown Layers
Pinzón, L. J. C; Betancourt, L. L. L; Afanador, T. G.
Rev. bras. ciênc. avic;
24(1): eRBCA-2021-1478, 2022. tab, graf
Artigo
em Inglês
| VETINDEX
| ID: biblio-1368432
Resumo
Small and medium-sized table egg producers have a large volume of data and information on daily production, which is not used in the decision-making process. It is important to define the best mathematical model for the prediction of both the growth and the egg production of brown layers to relate pullet growth traits with productivity in a commercial cycle. For the above purpose, growth and production data were obtained from 15 brown layer flocks, six mathematical models of growth and five of egg production were tested. Correlations were made between the parameters of growth and egg production, as well as between the parameters derived from the mathematical models. The prediction equations for the egg production indicators were estimated.As a result,the best model for predicting layer growth (Gompertz) and for egg production was obtained (Yang). The growth parameters with the greatest influence on egg production were the maximum growth rate (MGR) and the theta value (TV). Body weight at 8, 9, 10, 12, and 16 weeks of age had effects on egg production. As a conclusion maximizing the growth of the brown layer in key stages of its development has positive effects on egg production.(AU)
Biblioteca responsável:
BR68.1
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