2022
DOI: 10.1016/j.aqrep.2022.101178
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Genome Wide Association (GWAS) Analysis and genomic heritability for parasite resistance and growth in European seabass

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Cited by 5 publications
(3 citation statements)
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“…At the end of the trial in the D. labrax experiment (358 days), the average weight of fish was 475 g with a SGR of 0.69%/day, supporting relative good performance under the given environmental conditions in sea cages [ 32 , 35 ]. Regarding mortality, we observed an overall mortality rate of 22%, consistent with the expected mortality rate of 20% throughout the full grow-out stage for D. labrax [ 32 , 36 ].…”
Section: Discussionmentioning
confidence: 90%
“…At the end of the trial in the D. labrax experiment (358 days), the average weight of fish was 475 g with a SGR of 0.69%/day, supporting relative good performance under the given environmental conditions in sea cages [ 32 , 35 ]. Regarding mortality, we observed an overall mortality rate of 22%, consistent with the expected mortality rate of 20% throughout the full grow-out stage for D. labrax [ 32 , 36 ].…”
Section: Discussionmentioning
confidence: 90%
“…As a result rudd can be affected by helminths (Shukerova & Kirin, 2008;Chunchukova et al, 2019;Kvach, 2021). And as is known, the presence of parasites in the body of fish can affect their growth and morphological features (Timi & Poulin, 2020;Oikonomou et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…The development of the whole-genome resequencing technology provides a large number of SNPs for genetic mapping, which enables whole-genome association and linkage analyses, such as genome-wide association analysis (GWAS), quantitative trait locus (QTL) mapping and bulked sample analysis (BSA) [ 37 , 38 , 39 ]. In aquaculture, GWAS, as a crucial genetic mapping method, has been widely applied to easily measurable quality traits such as growth [ 40 , 41 , 42 ] and nutrition [ 43 , 44 ], while studies on heat tolerance have been limited due to the difficulties in accurately assessing phenotypes. Previous studies of genetic mapping of heat tolerance in oysters have only been conducted on screening temperature-adapted genes between wild C. gigas and C. angulata [ 31 ] and the identification of the regulatory architecture of heat-responsive genes through eQTL in backcross populations between C. gigas and C. angulata [ 45 ], lacking the identification of genomic markers related to heat tolerance at the whole-genome level in hybrid populations between C. gigas and C. angulata .…”
Section: Introductionmentioning
confidence: 99%