An Exploration of Current and Perspective Semen Analysis and Sperm Selection for Livestock Artificial Insemination.
An Exploration of Current and Perspective Semen Analysis and Sperm Selection for Livestock Artificial Insemination.
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家畜人工授精精液分析与精子选择的现状与展望。
DOI：
10.3390/ani11123563
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发表时间：
2021-12-15
期刊：
影响因子：
--
通讯作者：
Sutovsky P
中科院分区：
文献类型：
--
作者：
Zuidema D;Kerns K;Sutovsky P
人工授精是世界各地畜牧业生产者的一项关键技术。这项技术为生产者提供了获得顶级遗传学的途径，而不必亲自拥有优越的父系。这项技术的改进可以对畜牧业产生很大影响，特别是对严重依赖人工授精的行业。这篇文章将回顾人工授精正在进行的改进及其潜在的影响。六十多年来，家畜人工授精一直是世界各地生产者的主要技术。这种繁殖技术使牲畜基因得到了迅速改进，尤其是在奶牛和猪身上。在过去的60年里，这一领域经历了不断的改进。尽管已经做了很多工作来提高人工智能的效率，但仍有许多领域仍在不断改进，包括精液分析程序、精子选择技术、精子性别鉴定技术和精液储存方法。此外，随着人工智能技术继续变得更有效率并产生更高的怀孕率，人工智能在肉牛、马和小型反刍动物中的使用继续增长。在这篇综述中，将详细讨论各种牲畜物种的人工智能趋势以及上述领域的前沿改进。未来的工作将继续完善用于人工智能的方案，并继续提高所有牲畜物种的怀孕率。
Artificial insemination is a crucial technology for livestock producers world-wide. This technology has afforded producers access to premier genetics without having to physically own superior sires. The improvement of this technology can have a large impact on the livestock industry, especially those sectors of the industry which rely heavily on artificial insemination. This article will review ongoing improvements being made to artificial insemination and their potential impacts. Artificial insemination of livestock has been a staple technology for producers worldwide for over sixty years. This reproductive technology has allowed for the rapid improvement of livestock genetics, most notably in dairy cattle and pigs. This field has experienced continuous improvements over the last six decades. Though much work has been carried out to improve the efficiency of AI, there are still many areas which continue to experience improvement, including semen analysis procedures, sperm selection techniques, sperm sexing technologies, and semen storage methods. Additionally, the use of AI continues to grow in beef cattle, horses, and small ruminants as the technology continues to become more efficient and yield higher pregnancy rates. In this review, AI trends in the various livestock species as well as cutting edge improvements in the aforementioned areas will be discussed at length. Future work will continue to refine the protocols which are used for AI and continue to increase pregnancy rates within all livestock species.
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影响因子：
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作者：
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