Abstract
In this study, we sought to apply the model identity technique to compare the influence of eight treatments on growth parameters for three broiler quail lines, estimated using a logistic nonlinear regression model. For the analysis, we used the weight and age data obtained for three lines of European broiler quails (Coturnix coturnix coturnix) in a completely randomized 2×4 factorial scheme, with two levels of metabolizable energy (2900 and 3100 kcal of ME kg-1 of diet), four levels of raw protein (22%, 24%, 26% and 28% crude protein), and six repetitions. Results obtained for model identity tests indicated that although there were no significant differences among the parameters of the model between the treatments evaluated in each strain, there were, with the exception of Treatment 5 (3100 kcal of ME kg-1 and 22% crude protein), significant differences with respect to the adult weight parameter between lines within each treatment.
Highlights
Para a análise foram utilizados dados de peso e idade, de codornas européias de corte (Coturnix coturnix sp.) provenientes de três linhagens, em um esquema fatorial 2x4, instalado em um delineamento inteiramente casualizado, com dois níveis de energia metabolizável (2900 e 3100 kcal de EM/kg de dieta), e quatro níveis de proteína bruta (22%, 24%, 26% e 28% de proteína bruta), com seis repetições
Quail production at the national level has grown in recent years, mainly due to the lower costs of poultry production, and the inherent characteristics of bird physiology, as quails are precocious birds that have a high growth rate (Karadavut et al, 2017)
Among the diverse applications of growth curves in animal production, the following are of particular importance: summarization, in three or four parameters, of the characteristics of population growth, given that some parameters of the nonlinear models have biological interpretation; evaluation of the treatment response profile over time; and the study of interactions of the responses of subpopulations or treatments with time and to identify the heaviest and the youngest animals within a specific population (Brusamarelo et al, 2020)
Summary
Quail production at the national level has grown in recent years, mainly due to the lower costs of poultry production, and the inherent characteristics of bird physiology, as quails are precocious birds that have a high growth rate (Karadavut et al, 2017). Studies related to growth curves have strategic application in genetic improvement programs, contribute to the definition of selection criteria regarding the finishing precocity and speed of weight gain, and can facilitate the development of more efficient production systems for different breeds and regions with respect to the management of animals, feeding programs, and determination of breeding or lines (Souza et al, 2010; Silva et al, 2011). In this regard, Arango and Van Vleck (2002) stressed that it is necessary to consider growth
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