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Perspectives from agriculture: Advances in Livestock Breeding implications for Aquaculture Genetics

机译:农业观点:畜牧育种进展对水产养殖遗传学的影响

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In this paper we present livestock breeding developments that could be taken into consideration in the genetic improvement of farmed aquaculture species, especially in freshwater fish. Firstly, the current breeding objective in aquatic species has focused almost exclusively on the improvement of body weight at harvest or on growth related traits. This is unlikely to be sufficient to meet the future needs of the aquaculture industry. To meet future demands breeding programs will most likely have to include additional traits, such as fitness related ones (survival, disease resistance), feed efficiency, or flesh quality, rather than only growth performance. In order to select for a multi-trait breeding objective, genetic variation in traits of interestand the genetic relationships among them need to be estimated. In addition, economic values for these traits will be required. Generally, there is a paucity of data on variable and fixed production costs in aquaculture, and this could be a major constraint in the further expansion of the breeding objectives. Secondly, genetic evaluation systems using the restricted maximum likelihood method (REML) and best linear unbiased prediction (BLUP) in a framework of mixed model methodology could be widely adopted to replace the more commonly used method of mass selection based on phenotypic performance. The BLUP method increases the accuracy of selection and also allows the management of inbreeding and estimation of genetic trends. BLUP is an improvement overthe classic selection index approach, which was used in the success story of the genetically improved farmed tilapia (GIFT) in the Philippines, with genetic gains from 10 to 20 per cent per generation of selection. In parallel with BLUP, optimal geneticcontribution theory can be applied to maximize genetic gain while constraining inbreeding in the long run in selection programs. Thirdly, by using advanced statistical methods, genetic selection can be carried out not only at the nucleus level but also in lower tiers of the pyramid breeding structure. Large scale across population genetic evaluation through genetic connectedness using cryopreserved sperm enables the comparison and ranking of genetic merit of all animals across populations, countries oryears, and thus the genetically superior brood stock can be identified and widely used and exchanged to increase the rate of genetic progress in the population as a whole. It is concluded that sound genetic programs need to be established for aquaculturespecies. In addition to being very effective, fully pedigreed breeding programs would also enable the exploration of possibilities of integrating molecular markers (e.g., genetic tagging using DNA fingerprinting, marker (gene) assisted selection) ancf reproductive technologies such as in-vitro fertilization using cryopreserved spermatozoa.
机译:在本文中,我们介绍了家畜养殖的发展,可在养殖的水产养殖物种,特别是淡水鱼的遗传改良中考虑到这一点。首先,当前水生物种的育种目标几乎完全集中在收获时体重的改善或与生长有关的性状上。这可能不足以满足水产养殖业的未来需求。为了满足未来的需求,育种计划很可能必须包含其他特征,例如与适应性相关的特征(生存,抗病性),饲料效率或肉质,而不仅仅是生长性能。为了选择多特征育种目标,需要估计目的性状的遗传变异及其之间的遗传关系。此外,将需要这些特征的经济价值。通常,关于水产养殖可变和固定生产成本的数据很少,这可能是进一步扩大育种目标的主要障碍。其次,在混合模型方法框架内使用限制性最大似然法(REML)和最佳线性无偏预测(BLUP)的遗传评估系统可被广泛采用,以取代基于表型性能的更普遍的质量选择方法。 BLUP方法提高了选择的准确性,还可以管理近交和遗传趋势的估计。 BLUP是对经典选择指数方法的改进,该方法已用于菲律宾基因改良养殖罗非鱼(GIFT)的成功案例中,每代选择的遗传增益为10%至20%。与BLUP并行,最佳遗传贡献理论可用于最大化遗传增益,同时从长远来看在选择程序中限制近交。第三,通过使用先进的统计方法,不仅可以在细胞核水平上进行遗传选择,而且可以在金字塔繁殖结构的较低层次上进行遗传选择。通过使用冷冻保存的精子进行遗传连接,在整个种群中进行大规模遗传评估,可以比较和排名,种群,国家或年份的所有动物的遗传优势,因此,可以鉴定和广泛使用遗传上优越的亲鱼种群,并进行交换以提高遗传率整个人口的进步。结论是,需要为水产养殖物种建立健全的遗传计划。除了非常有效之外,经过充分育种的育种计划还将使探索整合分子标记(例如,使用DNA指纹技术进行基因标记,标记(基因)辅助选择)和生殖技术(例如使用冷冻保存的精子的体外受精)的可能性成为可能。 。

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