| Autor: |
Carvalho JC; Universidade Federal de Mato Grosso do Sul, Faculdade de Medicina Veterinária e Zootecnia, Programa de Pós-Graduação em Ciência Animal, Campo Grande, MS, Brasil., Corrêa Filho RAC; Universidade Federal de Mato Grosso do Sul, Faculdade de Medicina Veterinária e Zootecnia, Programa de Pós-Graduação em Ciência Animal, Campo Grande, MS, Brasil., Oliveira CAL; Universidade Estadual de Maringá, Departamento de Zootecnia, Maringá, PR, Brasil., Ribeiro RP; Universidade Estadual de Maringá, Departamento de Zootecnia, Maringá, PR, Brasil., Seraphim GN; Universidade Federal de Mato Grosso do Sul, Faculdade de Medicina Veterinária e Zootecnia, Programa de Pós-Graduação em Ciência Animal, Campo Grande, MS, Brasil., Silva ALN; Universidade Federal de Mato Grosso do Sul, Faculdade de Medicina Veterinária e Zootecnia, Programa de Pós-Graduação em Ciência Animal, Campo Grande, MS, Brasil., Kinjo Junior GN; Universidade Federal de Mato Grosso do Sul, Faculdade de Medicina Veterinária e Zootecnia, Programa de Pós-Graduação em Ciência Animal, Campo Grande, MS, Brasil., Laice LM; Instituto Superior Politécnico de Manica, Divisão de Agricultura (DivAG), Campus de Matsinho, Chimoio, Mozambique., Fantini LE; Auburn University, School of Fisheries, Aquaculture and Aquatic Science, Auburn, AL, USA., Lopera-Barrero NM; Universidade Estadual de Londrina, Departamento de Zootecnia, Londrina, PR, Brasil., Povh JA; Universidade Federal de Mato Grosso do Sul, Faculdade de Medicina Veterinária e Zootecnia, Programa de Pós-Graduação em Ciência Animal, Campo Grande, MS, Brasil. |
| Abstrakt: |
Selection can affect growth, changing performance and asymptotic values. However, there is little information about the growth of families in fish breeding programs. The aim of this study was to evaluate the performance and growth of families of Nile tilapia AquaAmérica. Twenty AquaAmérica families cultivated in a net cage (13.5 m3) for 181 days were evaluated. The nonlinear Gompertz regression model was fitted to the data by the weighted least squares method, taking the inverse of the variance of weight in different families and at different ages as the weighting variable. The model was adjusted to describe the growth in weight and morphometric characteristics. Two families showed highest (P<0.05) weights at both 133 days (family AA10: 743.2 g; family AA16: 741.2 g) and 181 days (family AA10: 1,422.1 g; family AA16: 1,393.4 g) of the experiment. In both experimental periods, the males showed a heavier weight, with the greatest contrast between the sexes occurring at 181 days. The analysis of the three most contrasting families (AA1, AA9 and AA14) showed that the asymptotic value for weight was higher (P<0.05) in family AA9 (3,926.3 g) than in family AA14 (3,251.6 g), but specific growth rate and age at the inflection point did not differ significantly between families. In conclusion, two of the 20 families were superior; males exhibited a greater growth, mainly in the period of 181 days; and the growth curve differed between the families, especially for asymptotic weight. |
