Abstract
The rearing of Nile tilapia (Oreochromis niloticus) and its fillet have shown a vigorous market expansion in Brazil and worldwide. Therefore, a regression model obtained from external physical parameters, of easy observation, which can predict the yield and weight of fillet, making it possible to select individuals with higher yield potential. The objective of this work was to obtain a model that allows a prediction of fillet yield and weight, based on morphometric measurements and weight. Data were collected on 890 individuals and the measured characters were: total length (TL), standard length (CP), length of the head (CC) and the stem (CTR), height of the head (CA1), lumbar height (AL), height flow (CA2), lumbar thickness (EL) and throughput (EC), body weight (PESO), fillet weight (FW) and yield of fillet (RF). A linear regression analysis was performed, with PF and RF as dependent variables. The R2 for the model of the FP was 0.80 – a satisfactory result – suggesting that the body measurements are reliable for estimating fillet weight. For the RF model, R2 was 0.16, which is not adequate to estimate fillet yield, requiring further studies in order to obtain a reliable model.
Highlights
A regression model obtained from external physical parameters, of easy observation, which can predict the yield and weight of fillet, making it possible to select individuals with higher yield potential
The objective of this work was to obtain a model that allows a prediction of fillet yield and weight, based on morphometric measurements and weight
Data were collected on 890 individuals and the measured characters were: total length (TL), standard length (CP), length of the head (CC) and the stem (CTR), height of the head (CA1), lumbar height (AL), height flow (CA2), lumbar thickness (EL) and throughput (EC), body weight (PESO), fillet weight (FW) and yield of fillet (RF)
Summary
Comprimento total (CT), comprimento-padrão (CP), comprimento da cabeça (CC), altura da cabeça (AC1), altura do corpo (AL), altura da caudal (AC), espessura da lombar (EL), espessura caudal (EC) e comprimento do tronco (CTR). Comprimento total (cm) Comprimento-padrão (cm) Comprimento da cabeça (cm) Altura da cabeça (cm) Altura do corpo (cm) Altura da caudal (cm) Espessura da lombar (cm) Espessura caudal (cm) Comprimento do tronco (cm) Peso do filé (g) Peso (g) Rendimento de filé (%). Para a análise do peso e rendimento do filé foi utilizado o modelo Yij = + CGi + ij, em que Yij é PF ou RF e μ, CGi e ij como previamente descritos. Os dados foram submetidos a análises de correlação e regressão múltipla utilizando-se o procedimento stepwise do programa SAS (2002)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
