Genetic parameters of growth, reproductive efficiency and survival are important for designing successful genetic improvement programmes. In this study, a database was assembled and a meta‐analysis was conducted using 87 peer‐reviewed published studies on genetic parameters of 63 economically important traits reported across nine major farmed shrimp species. A total of 641 estimates of heritability, 978 estimates of genetic correlations and 658 estimates of phenotypic correlations were included in this study. Pacific white shrimp (Penaeus vannamei) was the most widely reported species followed by giant freshwater prawn (Marcobrachium rosenbergii) and black tiger prawn (Penaeus monodon). Published studies demonstrate large variability across heritability and correlation estimates. Consensus estimates were based on both unweighted and weighted averages. The traits were broadly classed into weight, morphology, growth rate, body composition, feeding efficiency, reproductive efficiency and survival. This meta‐analysis revealed moderate‐to‐high heritability estimates for weight (0.30 ± 0.002), morphological (0.26 ± 0.003), growth rate (0.27 ± 0.01) and feeding efficiency (0.58 ± 0.07) traits, but low for body composition (0.06 ± 0.009), reproductive efficiency (0.11 ± 0.006) and survival traits (0.15 ± 0.003). Strong responses to selection were found among the shrimp species studied. We have developed a ShinyApp (https://khatkar.shinyapps.io/shrimp_genetics/) for visualization of the individual heritability estimates. In addition to the meta‐analysis of genetic parameters, we have calculated the correlated responses among economically important traits and highlighted response to selection, realized heritability, social interaction and common environmental effects in shrimp breeding programmes in terms of industry implications. Consensus estimates suggest that there is sufficient additive genetic variation to carry out effective genetic improvement programmes in these species.

中文翻译：

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养殖对虾品种生产性状遗传参数的Meta分析

生长，生殖效率和生存的遗传参数对于设计成功的遗传改良计划很重要。在这项研究中，建立了一个数据库，并使用87项经同行评审的已发表研究对9种主要养殖对虾中63个重要经济性状的遗传参数进行了荟萃分析。这项研究总共包括641个遗传力估计值，978个遗传相关估计值和658个表型相关估计值。太平洋白对虾（Penaeus vannamei）是最广泛报道的物种，其次是巨型淡水对虾（Marcobrachium rosenbergii）和黑虎对虾（Penaeus monodon）。）。已发表的研究表明遗传和相关估计之间存在很大的变异性。共识估计基于未加权平均值和加权平均值。这些性状大致分为体重，形态，生长速度，身体组成，进食效率，生殖效率和生存率。这项荟萃分析显示，体重（0.30±0.002），形态（0.26±0.003），生长速率（0.27±0.01）和饲喂效率（0.58±0.07）性状的遗传性估计值从中到高，但身体成分较低（ 0.06±0.009），生殖效率（0.11±0.006）和生存特征（0.15±0.003）。在研究的虾种中发现对选择的强烈反应。我们已经开发了ShinyApp（https://khatkar.shinyapps.io/shrimp_genetics/），用于可视化单个遗传力估计值。除了对遗传参数的荟萃分析外，我们还计算了重要经济性状之间的相关响应，并突出了对虾育种计划的选择响应，实现的遗传力，社会互动以及对虾养殖计划的行业影响方面的共同环境影响。共识估计表明，有足够的累加遗传变异来对这些物种进行有效的遗传改良计划。