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Journal of Animal Science Abstract - Animal Production

Proposal of a production and management index (PMI) for tilapia farms1

 

This article in JAS

  1. Vol. 94 No. 11, p. 4872-4881
     
    Received: May 05, 2016
    Accepted: Sept 07, 2016
    Published: October 27, 2016


    2 Corresponding author(s): animuni@unizar.es
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doi:10.2527/jas.2016-0605
  1. A. Muniesa 2*,
  2. A. L. Rey-Castaño,
  3. I. Ruiz-Zarzuela*,
  4. M. Guarín,
  5. C. Iregui and
  6. I. de Blas*
  1. * Department of Animal Pathology, Faculty of Veterinary Sciences, Instituto Agroalimentario de Aragón, Universidad de Zaragoza-CITA, c/Miguel Servet 177, 50013 Zaragoza, Spain
     Veterinary Pathobiology Group, Faculty of Veterinary Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
     Vicerrectoría de Investigación, Universidad de los Andes, Bogotá, Colombia

Abstract

Tilapia is one of the most important species in aquaculture; however, there is no available index to show the performance of a production unit. It is desirable to assess the productivity using indexes, such as the production and management index for shrimps and the European production efficacy factor for broilers. These indexes are based on data production: growth, survival, and feed conversion of a full production cycle. Taking into account these parameters, we propose a production and management index (PMI) for tilapia that is applicable for a specific period of the production cycle. For the construction and validation of the PMI we have used production data from 8,614 monthly records of 2 tilapia farms in Huila Department (Colombia), and because of the complexity of tilapia management, different anomalous situations have been detected and then defined as exceptions. As a result, 419 records were considered extreme values because 1 or more exceptions were met. The value of the PMI varies from 0 (the worst situation) to 3.55, which reflects high variability. We have constructed a PMI for tilapia as the product of 3 elements to obtain a positive value index. Instead of classic parameters, we had to calculate an adapted version of them: the relative average daily growth, the survival (as a complementary value of the estimated monthly mortality), and a feed conversion ratio index. To assess the utility of the PMI, some comparisons were performed using records from black and red tilapia. We observed significant differences depending on tilapia strain (PMIblack = 1.0248 vs. PMIred = 1.1661; P < 0.001), age (better values for small fish), and season (PMIrainy = 1.0847 vs. PMIdry = 1.1011; P = 0.026). According to these results, we can conclude that the PMI could be a useful tool for tilapia farmers, despite the complexity of the calculation.

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