Genetic parameters for traits affecting consumer preferences for the Portuguese oyster, Crassostrea angulata

Vu, Sang V.; Knibb, Wayne; O’Connor, Wayne A.; Nguyen, Ngoc T. H.; In, Vu Van; Dove, Michael; Nguyen, Nguyen Hong

doi:10.1016/j.aquaculture.2020.735391

Cited by 15 publications

(15 citation statements)

References 34 publications

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“…In contrast, in this study, the genetic correlations between morphometric traits (shell length, shell width, shell depth) and edibility and disease traits were small or non-significant. These correlations agreed with those estimated using the pedigree relationship information from this population [ 10 ]. This suggests that selection for any of the morphometric traits (shell length, shell width, shell depth, shell weight) may not lead to substantial changes in edibility and disease traits.…”

Section: Resultssupporting

confidence: 84%

“…The high genomic estimates of heritability are encouraging for the adoption of genomic selection to improve edibility traits, which cannot be measured directly on selection candidates but can be used to predict breeding values based on the eating quality of their siblings through genomic relationship. Genomic estimates of heritability for edibility traits were significantly higher than estimates of heritability based on the pedigree in this population [ 10 ]. This result also confirms that genomic information can be extremely useful for traits that are difficult to measure.…”

Section: Resultsmentioning

confidence: 99%

“…Supplementary Figure S2 and Figure S3 show clinical signs of these parasite diseases on tissue and shell, respectively. A detailed procedure on how to record the edibility and disease related traits is given in Vu et al [ 10 ].…”

Section: Methodsmentioning

confidence: 99%

“…may compete with oysters for food [ 8 ], and can retard oyster growth resulting in undersized shells and reduced meat weight [ 6 ]. A Portuguese oyster breeding program in Vietnam, using phenotypic selection has commenced to reduce the incidence of these diseases [ 9 , 10 ]. Morphometric traits (shell length, shell width, shell depth, shell weight), sensory traits (tenderness and taste, and moisture content) are of economic importance in the oyster breeding program [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…A Portuguese oyster breeding program in Vietnam, using phenotypic selection has commenced to reduce the incidence of these diseases [ 9 , 10 ]. Morphometric traits (shell length, shell width, shell depth, shell weight), sensory traits (tenderness and taste, and moisture content) are of economic importance in the oyster breeding program [ 9 , 10 ]. The family-based selection methods use the information from sibs; therefore, this results in lower accuracy using direct information from selection candidates.…”

Section: Introductionmentioning

confidence: 99%

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Prediction Accuracies of Genomic Selection for Nine Commercially Important Traits in the Portuguese Oyster (Crassostrea angulata) Using DArT-Seq Technology

Gondro

Nguyen

et al. 2021

Genes

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Genomic selection has been widely used in terrestrial animals but has had limited application in aquaculture due to relatively high genotyping costs. Genomic information has an important role in improving the prediction accuracy of breeding values, especially for traits that are difficult or expensive to measure. The purposes of this study were to (i) further evaluate the use of genomic information to improve prediction accuracies of breeding values from, (ii) compare different prediction methods (BayesA, BayesCπ and GBLUP) on prediction accuracies in our field data, and (iii) investigate the effects of different SNP marker densities on prediction accuracies of traits in the Portuguese oyster (Crassostrea angulata). The traits studied are all of economic importance and included morphometric traits (shell length, shell width, shell depth, shell weight), edibility traits (tenderness, taste, moisture content), and disease traits (Polydora sp. and Marteilioides chungmuensis). A total of 18,849 single nucleotide polymorphisms were obtained from genotyping by sequencing and used to estimate genetic parameters (heritability and genetic correlation) and the prediction accuracy of genomic selection for these traits. Multi-locus mixed model analysis indicated high estimates of heritability for edibility traits; 0.44 for moisture content, 0.59 for taste, and 0.72 for tenderness. The morphometric traits, shell length, shell width, shell depth and shell weight had estimated genomic heritabilities ranging from 0.28 to 0.55. The genomic heritabilities were relatively low for the disease related traits: Polydora sp. prevalence (0.11) and M. chungmuensis (0.10). Genomic correlations between whole weight and other morphometric traits were from moderate to high and positive (0.58–0.90). However, unfavourably positive genomic correlations were observed between whole weight and the disease traits (0.35–0.37). The genomic best linear unbiased prediction method (GBLUP) showed slightly higher accuracy for the traits studied (0.240–0.794) compared with both BayesA and BayesCπ methods but these differences were not significant. In addition, there is a large potential for using low-density SNP markers for genomic selection in this population at a number of 3000 SNPs. Therefore, there is the prospect to improve morphometric, edibility and disease related traits using genomic information in this species.

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Section: Resultssupporting

confidence: 84%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%