Genetic parameters estimates for growth performance traits at harvest in Japanese flounder ( Paralichthys olivaceus )

Li, Yangzhen; Zhang, Bo; Lü, Sheng; Tian, Yongsheng; Yang, Yingming; Chen, Songlin

doi:10.1016/j.aquaculture.2018.01.010

Cited by 25 publications

(5 citation statements)

References 36 publications

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“…In general, weight was highly correlated with all morphometric traits, suggesting that genetic weight gains can be obtained by correlated responses of these traits. High correlations between body measurements and weight were also observed in other species, such as P. mesopotamicus (Freitas et al, 2020), Paralichthys olivaceus (Li et al, 2018; Liu et al, 2011; Tian et al, 2011) and Nile tilapia (Rutten et al, 2005). The genetic correlation between body part weight and total weight is close to unity, similar to previous studies (Gjerde et al, 2012; Haffray et al, 2012; Navarro et al, 2009; Nguyen et al, 2010; Powell et al, 2008; Rutten et al, 2005).…”

Section: Discussionmentioning

confidence: 80%

Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum

et al. 2023

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Computer vision system (CVSs) are effective tools that enable large‐scale phenotyping with a low‐cost and non‐invasive method, which avoids animal stress. Economically important traits, such as rib and loin yield, are difficult to measure; therefore, the use of CVS is crucial to accurately predict several measures to allow their inclusion in breeding goals by indirect predictors. Therefore, this study aimed (1) to validate CVS by a deep learning approach and to automatically predict morphometric measurements in tambaqui and (2) to estimate genetic parameters for growth traits and body yield. Data from 365 individuals belonging to 11 full‐sib families were evaluated. Seven growth traits were measured. After biometrics, each fish was processed in the following body regions: head, rib, loin, R + L (rib + loin). For deep learning image segmentation, we adopted a method based on the instance segmentation of the Mask R‐CNN (Region‐based Convolutional Neural Networks) model. Pearson's correlation values between measurements predicted manually and automatically by the CVS were high and positive. Regarding the classification performance, visible differences were detected in only about 3% of the images. Heritability estimates for growth and body yield traits ranged from low to high. The genetic correlations between the percentage of body parts and morphometric characteristics were favorable and highly correlated, except for percentage head, whose correlations were unfavorable. In conclusion, the CVS validated in this image dataset proved to be resilient and can be used for large‐scale phenotyping in tambaqui. The weight of the rib and loin are traits under moderate genetic control and should respond to selection. In addition, standard length and pelvis length can be used as an efficient and indirect selection criterion for body yield in this tambaqui population.

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Section: Discussionmentioning

confidence: 80%

Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum

et al. 2023

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“…Among the genes identi ed close to SNPs, it is worth mentioning the ptpre gene, which has already been identi ed in a study of GWAS in grouper (Epinephelus lanceolatus) demonstrating that it may be a common gene to act on sh growth [39]. Furthermore, ptpre has also been shown to have known growth functions or to be associated with growth characteristics in humans and other animals [40][41][42]. For example, a study of GWAS for weight in pigs identi ed ptpre as a candidate gene close to the signi cantly associated SNP [41].…”

Section: Discussionmentioning

confidence: 99%

Genome wide association study for growth and carcass traits in the Amazon fish Colossoma macropomum

Ariede,

Freitas,

Neto

et al. 2023

Preprint

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Background Growth and carcasses yield are economically important traits for the Amazon fish tambaqui (Colossoma macropomum). However, carcasses yield has received little attention in breeding programs because it is difficult to measure on many fish and it cannot be directly measured on breeding candidates. The goal of this study was to unravel the genetic architecture of growth and carcasses yield traits, as well as to identify candidate genes influencing these traits, in an experimental tambaqui population in Southeastern Brazil, by using ddRAD-sequencing (double digest restriction-site associated DNA) and GWAS (genome-wide association study) methods.Methods and Results Phenotype data from 11 full-sib families, with a total of 365 individuals, were evaluated for 15 months. Eight growth characteristics were measured. Each fish was processed in the following body regions: head, rib, loin, R + L (rib + loin). GWAS analysis identified a total of 3 SNPs with chromosome significance, which were associated with six growth/yield traits (HL, SL, Body weight, R + L weight, Head weight and Rib weight), distributed into two linkage groups (LG 11 and 19). We highlighted three genes (ptpre, glrx3, and ebf3a) close to the QTLs that represents candidates for further functional validation to uncover biological mechanisms underlying variation for these traits in tambaqui.Conclusions In conclusion, our results indicated that growth and carcasses yield traits are polygenic in tambaqui, with the most important loci explaining only 0.2% of the genetic variance for the trait.

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“…The normal Japanese flounder (initial average weight of 2.5 ± 0.02 g) cultured in normal seawater without U. prolifera degradation was considered as the negative control group (NC), while the normal Japanese flounder exposed in the U. prolifera degradation conditions was designated as the positive control group (PC). Eight experimental Japanese flounder families derived from the offspring of anti-vibrio breeders were generated in our lab using partial mating scheme and raised in Yellow Sea Aquatic Product Co., Ltd. (Yantai, China) [19]. The families (2101-2108) were named based on the breeding cultivation time and were established through crossbreeding by the way of artificial insemination to select and breed the better variety of Japanese flounder.…”

Section: Experimental Designmentioning

confidence: 99%

Effects of Ulva prolifera Degradation on Growth Performance and Antioxidant Capacity of Japanese Flounder (Paralichthys olivaceus) Family

Yang,

Li,

Wang

et al. 2023

Fishes

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Massive macroalgae blooms, primarily caused by the overgrowth of Ulva prolifera (U. prolifera) in the Yellow Sea of China, pose a severe risk to both marine organisms and the aquaculture industry. This study’s aim was to evaluate the impact of U. prolifera degradation on the growth performance and antioxidant capacity of Japanese flounder (Paralichthys olivaceus) and select some potential Japanese flounder families (labeled 2101–2108, established by crossbreeding) tolerating U. prolifera degradation conditions. Thus, a 60-day U. prolifera exposure experiment was conducted. The results showed that the contents of Na, K, Mg, and Fe elements in the U. prolifera degradation water were significantly increased. The specific growth rate and survival rate of flounder were significantly decreased under the U. prolifera degradation condition, while the 2101 and 2103 flounder families showed a better growth performance compared with the positive control (PC) group. Moreover, the results showed that activities of total antioxidant capacity (T-AOC), transaminases, and alkaline phosphatase (AKP) in serum were significantly decreased, while the 2103 flounder family showed higher activities. Furthermore, U. prolifera degradation significantly increased superoxide dismutase (SOD) activity and glutathione (GSH) content while decreasing catalase (CAT) activity and malondialdehyde (MDA) content in the liver. Specifically, SOD and CAT activities of the 2103 flounder family were higher than the 2101 flounder family and PC group. In addition, the gill SOD and CAT activities of the 2103 flounder family were significantly higher than the PC group. Similarly, the antioxidant-related gene (sod and cat) expressions were synchronously upregulated or downregulated in the liver and gills in response to U. prolifera degradation. These results revealed that U. prolifera degradation decreased the growth performance and influenced the antioxidant capacity of Japanese flounder, while the 2103 flounder family had better advantages in the U. prolifera degradation condition. Therefore, the 2103 flounder family could be regarded as the potential flounder family tolerating U. prolifera degradation. The increased Fe content in the U. prolifera degradation water may be one of the main causes of the physiological alterations observed in Japanese flounder.

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Genetic parameters estimates for growth performance traits at harvest in Japanese flounder ( Paralichthys olivaceus )

Cited by 25 publications

References 36 publications

Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum

Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum

Genome wide association study for growth and carcass traits in the Amazon fish Colossoma macropomum

Effects of Ulva prolifera Degradation on Growth Performance and Antioxidant Capacity of Japanese Flounder (Paralichthys olivaceus) Family

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