In:
Semina: Ciências Agrárias, Universidade Estadual de Londrina, Vol. 39, No. 6 ( 2018-11-30), p. 2659-
Abstract:
This study aims to propose a method to generate growth and degrowth models using differential equations as well as to present a model based on the method proposed, compare it with the classic linear mathematical models Logistic, Von Bertalanffy, Brody, Gompertz, and Richards, and identify the one that best represents the mean growth curve. To that end, data on Undefined Breed (UB) goats and Santa Inês sheep from the works of Cavalcante et al. (2013) and Sarmento et al. (2006a), respectively, were used. Goodness-of-fit was measured using residual mean squares (RMS), Akaike information criterion (AIC), Bayesian information criterion (BIC), mean absolute deviation (MAD), and adjusted coefficient of determination . The models’ parameters (?, weight at adulthood; ?, an integration constant; ?, shape parameter with no biological interpretation; k, maturation rate; and m, inflection point) were estimated by the least squares method using Levenberg-Marquardt algorithm on the software IBM SPSS Statistics 1.0. It was observed that the proposed model was superior to the others to study the growth curves of goats and sheep according to the methodology and conditions under which the present study was carried out.
Type of Medium:
Online Resource
ISSN:
1679-0359
,
1676-546X
DOI:
10.5433/1679-0359.2018v39n6p2659
Language:
Unknown
Publisher:
Universidade Estadual de Londrina
Publication Date:
2018
detail.hit.zdb_id:
2551446-5
SSG:
22
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