Genotype×environment interaction for growth traits of Nile tilapia in biofloc technology, recirculating water and Cage systems

Turra, Eduardo Maldonado; Toral, Fábio Luiz Buranelo; Alvarenga, Érika Ramos de; Raidan, Fernanda Santos Silva; Fernandes, Arthur Francisco de Araújo; Alves, Gabriel Francisco de Oliveira; Sales, Suellen Cristina Moreira de; Teixeira, Edgar de Alencar; Manduca, Ludson Guimarães; Brito, Túlio Soares de; Silva, Marcos Antonio da; Júnior, Alaion Fonseca da Silva; Almeida, Luis Felipe Cota de; Santos, Cláudia Regina dos; Silva, Martinho de Almeida e

doi:10.1016/j.aquaculture.2016.04.020

Cited by 15 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The heritability estimates for body weight found here are consistent with those observed in several studies on Nile tilapia (Garcia et al., 2017; Hamzah et al., 2017; Rutten, Bovenhuis, et al., 2005; Rutten et al., 2005), although, in other reports, estimates ranged from 0.10 to 0.84 (Hamzah et al., 2017; He et al., 2018; Oliveira et al., 2016; Rutten, Bovenhuis, et al., 2005; Rutten, Komen, et al., 2005; Turra et al., 2016). Various factors contribute to the high heterogeneity of heritability estimates for body weight in Nile tilapia, such as the number of traits considered for genetic parameter estimation, whether the model is based on single or multiple traits, and the genetic and environmental correlations between traits.…”

Section: Discussionmentioning

confidence: 96%

“…Multiple‐trait models are generally more accurate than single‐trait models, as the former incorporate covariances between traits (Mrode, 2014). Other factors, such as common family environmental effects (Pante et al., 2002), characteristics of the fish farming environment (Turra et al., 2016), sex and age at measurement (He et al., 2018; Rutten, Komen, et al., 2005), can also contribute to such differences.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of genetic parameters for body areas in Nile tilapia measured by digital image analysis

Cardoso

Oliveira

Campos

et al. 2021

J Animal Breeding Genetics

View full text Add to dashboard Cite

Digital image analysis is a practical, non‐invasive, and relatively low‐cost tool that may assist in the evaluation of body traits in Nile tilapia, being particularly useful for assessing difficult‐to‐measure variables, such as body areas. In this study, we aimed to estimate variance components and genetic parameters for body areas of Nile tilapia obtained by digital images. The data set comprised body weight (BW) records of 1,917 pond‐reared fish at 366 days of age. Of this total, 656 animals were photographed and subjected to image analysis of trunk area (TA), head area (HA), caudal fin area (CFA) and fillet area (FA). Heritabilities and genetic correlations were estimated through multiple‐trait models based on Bayesian inference. Heritability estimates for BW, TA, HA, CFA and FA were 0.25, 0.23, 0.26, 0.21 and 0.25, respectively. Genetic correlations between the traits were high and positive, ranging from 0.70 to 0.98. We highlight the genetic correlation between BW and TA (rG = 0.98) and FA (rG = 0.97). In view of the observed results, it can be concluded that trunk and fillet areas obtained by digital image analysis can lead to indirect genetic gains in weight and other body areas. In addition, the areas studied have potential as a selection criterion and may assist in studies on changes in the body shape in Nile tilapia.

show abstract

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Estimation of genetic parameters for body areas in Nile tilapia measured by digital image analysis

Cardoso

Oliveira

Campos

et al. 2021

J Animal Breeding Genetics

View full text Add to dashboard Cite

show abstract

“…Genes encoding key enzymes involved in synthesis of bile acids from cholesterol (cyp8b1, cyp46a1) were downregulated, and genes encoding key enzymes involved in synthesis of steroid hormones from cholesterol (hsd17b12, akr1d1, ugt) were upregulated. et al, 2021), managing the environment (Charo-Karisa et al, 2006;Turra et al, 2016), culturing models (Zhang et al, 2018;Ani et al, 2021), and growth-related molecular markers (Khatab et al, 2014;Chen et al, 2020). Among these, the more relevant study for growth performance enhancement was the screening of growth-related QTLs in tilapia (Yoshida and Yáñez, 2021), but the 29 metabolism-related candidate genes obtained in the present study were not among them.…”

Section: Quantitative Real-time Pcr Analysismentioning

confidence: 70%

“…Recent research on tilapia growth performance has focused on feed and additives ( Zhou et al, 2010 ; Genschick et al, 2021 ; Yu et al, 2021 ), managing the environment ( Charo-Karisa et al, 2006 ; Turra et al, 2016 ), culturing models ( Zhang et al, 2018 ; Ani et al, 2021 ), and growth-related molecular markers ( Khatab et al, 2014 ; Chen et al, 2020 ). Among these, the more relevant study for growth performance enhancement was the screening of growth-related QTLs in tilapia ( Yoshida and Yáñez, 2021 ), but the 29 metabolism-related candidate genes obtained in the present study were not among them.…”

Section: Discussionmentioning

confidence: 99%

Comparing Transcriptomes Reveals Key Metabolic Mechanisms in Superior Growth Performance Nile Tilapia (Oreochromis niloticus)

et al. 2022

View full text Add to dashboard Cite

Metabolic capacity is intrinsic to growth performance. To investigate superior growth performance in Nile tilapia, three full-sib families were bred and compared at the biochemical and transcriptome levels to determine metabolic mechanisms involved in significant growth differences between individuals under the same culture environment and feeding regime. Biochemical analysis showed that individuals in the higher growth group had significantly higher total protein, total triglyceride, total cholesterol, and high- and low-density lipoproteins, but significantly lower glucose, as compared with individuals in the lower growth group. Comparative transcriptome analysis showed 536 differentially expressed genes (DEGs) were upregulated, and 622 DEGs were downregulated. These genes were significantly enriched in three key pathways: the tricarboxylic acid cycle (TCA cycle), fatty acid biosynthesis and metabolism, and cholesterol biosynthesis and metabolism. Conjoint analysis of these key pathways and the biochemical parameters suggests that Nile tilapia with superior growth performance have higher ability to consume energy substrates (e.g., glucose), as well as higher ability to biosynthesize fatty acids and cholesterol. Additionally, the fatty acids biosynthesized by the superior growth performance individuals were less active in the catabolic pathway overall, but were more active in the anabolic pathway, and might be used for triglyceride biosynthesis to store excess energy in the form of fat. Furthermore, the tilapia with superior growth performance had lower ability to convert cholesterol into bile acids, but higher ability to convert it into sterols. We discuss the molecular mechanisms of the three key metabolic pathways, map the pathways, and note key factors that may impact the growth of Nile tilapia. The results provide an important guide for the artificial selection and quality enhancement of superior growth performance in tilapia.

show abstract

“…estimates of 0.24 for Nile tilapia BW at 151 days of age whileTurra et al (2016) reported h 2 estimates of 0.62 for Nile tilapia at 168 days. Both works were conducted in RAS, as the present one.…”

mentioning

confidence: 96%

Genotype x environmental interaction of growth traits to different levels of dietetic lysine for GIFT tilapia

et al. 2019

View full text Add to dashboard Cite

Genotype×environment interaction for growth traits of Nile tilapia in biofloc technology, recirculating water and Cage systems

Cited by 15 publications

References 16 publications

Estimation of genetic parameters for body areas in Nile tilapia measured by digital image analysis

Estimation of genetic parameters for body areas in Nile tilapia measured by digital image analysis

Comparing Transcriptomes Reveals Key Metabolic Mechanisms in Superior Growth Performance Nile Tilapia (Oreochromis niloticus)

Genotype x environmental interaction of growth traits to different levels of dietetic lysine for GIFT tilapia

Contact Info

Product

Resources

About