<b>Prediction of yield and weight of Nile tilapia fillet</b> - doi: 10.4025/actascianimsci.v33i3.10838

  • Aldrin Vieira Pires UFVJM
  • Marcelo Mattos Pedreira UFVJM
  • Idalmo Garcia Pereira UFVJM
  • Armando da Fonseca Júnior Bioalevinus
  • Cláudio Vieira Araújo UFMT
  • Larissa Hélida da Silva e Silva FAESA
DOI: https://doi.org/10.4025/actascianimsci.v33i3.10838
Keywords: Oreochromis niloticus, morphometric relationships, phenotypic selection

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.

Downloads

Download data is not yet available.

Author Biographies

Aldrin Vieira Pires, UFVJM
Aldrin Vieira Pires is graduated in animal science from Universidade Federal de Viçosa (1997), master's at animal science from Universidade Federal de Viçosa (1999) and ph.d. at agronomy from Universidade Federal de Viçosa (2003). Has experience in genetics and improvment of animals
Marcelo Mattos Pedreira, UFVJM
Atualmente é professor adjunto da Universidade Federal dos Vales do Jequitinhonha e Mucuri. Tem experiência na área de Recursos Pesqueiros e Engenharia de Pesca, com ênfase em Aqüicultura, atuando principalmente nos seguintes temas: larvicultura, alimentação, sistema de cultivo, recirculação, biofiltração, aqüicultura, cultivo e água doce.
Idalmo Garcia Pereira, UFVJM
Trabalha com Melhoramento animal Professor Adjunto IV da Universidade Federal dos Vales do Jequitinhonha e Mucuri , Brasil Doutorado em Zootecnia pela Universidade Estadual Paulista Júlio de Mesquita Filho, Brasil(2001)
Armando da Fonseca Júnior, Bioalevinus
Zootecnista da Bioalevinhus
Cláudio Vieira Araújo, UFMT
Melhoramento animal Professor Adjunto da Universidade Federal de Mato Grosso , Brasil Doutorado em Zootecnia pela Universidade Federal de Viçosa, Brasil(2003)
Larissa Hélida da Silva e Silva, FAESA
Bióloga
Published
2011-03-21
How to Cite
Pires, A. V., Pedreira, M. M., Pereira, I. G., Fonseca Júnior, A. da, Araújo, C. V., & Silva, L. H. da S. e. (2011). <b>Prediction of yield and weight of Nile tilapia fillet</b&gt; - doi: 10.4025/actascianimsci.v33i3.10838. Acta Scientiarum. Animal Sciences, 33(3), 315-319. https://doi.org/10.4025/actascianimsci.v33i3.10838
Issue
Vol 33 No 3 (2011)
Section
Animal Production

DECLARATION OF ORIGINALITY AND COPYRIGHTS

- I Declare that current article is original and has not been submitted for publication, in part or in whole, to any other national or international journal. 

The copyrights belong exclusively to the authors. Published content is licensed under Creative Commons Attribution 4.0 (CC BY 4.0) guidelines, which allows sharing (copy and distribution of the material in any medium or format) and adaptation (remix, transform, and build upon the material) for any purpose, even commercially, under the terms of attribution.

Read this link for further information on how to use CC BY 4.0 properly.

 

Crossref
Scopus
Google Scholar
Europe PMC

0.9
2019CiteScore
 
 
29th percentile
Powered by  Scopus