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Interactive effects of genotype x environment on the live weight of GIFT Nile tilapias

Overview of attention for article published in Anais da Academia Brasileira de Ciências, December 2017
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Title
Interactive effects of genotype x environment on the live weight of GIFT Nile tilapias
Published in
Anais da Academia Brasileira de Ciências, December 2017
DOI 10.1590/0001-3765201720150629
Pubmed ID
Authors

SHEILA N. DE OLIVEIRA, RICARDO P. RIBEIRO, CARLOS A.L. DE OLIVEIRA, LUIZ ALEXANDRE FILHO, ALINE M.S. OLIVEIRA, NELSON M. LOPERA-BARRERO, VICTOR F.A. SANTANDER, RENAN A.C. SANTANA

Abstract

In this paper, the existence of a genotype x environment interaction for the average daily weight in GIFT Nile tilapia (Oreochromis niloticus) in different regions in the state of Paraná (Brazil) was analyzed. The heritability results were high in the uni-characteristic analysis: 0.71, 0.72 and 0.67 for the cities of Palotina (PL), Floriano (FL) and Diamond North (DN), respectively. Genetic correlations estimated in bivariate analyzes were weak with values between 0.12 for PL-FL, 0.06 for PL and 0.23 for DN-FL-DN. The Spearman correlation values were low, which indicated a change in ranking in the selection of animals in different environments in the study. There was heterogeneity in the phenotypic variance among the three regions and heterogeneity in the residual variance between PL and DN. The direct genetic gain was greater for the region with a DN value gain of 198.24 g/generation, followed by FL (98.73 g/generation) and finally PL (98.73 g/generation). The indirect genetic gains were lower than 0.37 and greater than 0.02 g/generation. The evidence of the genotype x environment interaction was verified, which indicated the phenotypic heterogeneity of the variances among the three regions, weak genetic correlation and modified rankings in the different environments.

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Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 15%
Professor 2 15%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Veterinary Science and Veterinary Medicine 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Computer Science 1 8%
Earth and Planetary Sciences 1 8%
Other 1 8%
Unknown 4 31%