Department of Animal Sciences and Industry, Kansas State University, Manhattan 66506-0201.
Department of Animal Science, North Carolina State University, Raleigh 27695.
J Dairy Sci. 2017 Dec;100(12):10292-10313. doi: 10.3168/jds.2017-12959.
Basic knowledge of mechanisms controlling reproductive processes in mammals was limited in the early 20th century. Discoveries of physiologic processes and mechanisms made early in the last century laid the foundation to develop technologies and programs used today to manage and control reproduction in dairy cattle. Beyond advances made in understanding of gonadotropic support and control of ovarian and uterine functions in basic reproductive biology, advancements made in artificial insemination (AI) and genetics facilitated rapid genetic progress of economically important traits in dairy cattle. Technologies associated with management have each contributed to the evolution of reproductive management, including (1) hormones to induce estrus and ovulation to facilitate AI programs; (2) pregnancy diagnosis via ultrasonography or by measuring conceptus-derived pregnancy-associated glycoproteins; (3) estrus-detection aids first devised for monitoring only physical activity but that now also quantitate feeding, resting, and rumination times, and ear temperature; (4) sex-sorted semen; (5) computers and computerized record software packages; (6) handheld devices for tracking cow location and retrieving cow records; and (7) genomics for increasing genetic progress of reproductive and other economically important traits. Because of genetic progress in milk yield and component traits, the dairy population in the United States has been stable since the mid 1990s, with approximately 9 to 9.5 million cows. Therefore, many of these technologies and changes in management have been developed in the face of increasing herd size (4-fold since 1990), and changes from pastoral or dry-lot dairies to increased housing of cows in confinement buildings with freestalls and feed-line lockups. Management of groups of "like" cows has become equally important as management of the one. Management teams, including owner-managers, herdsmen, AI representatives, milkers, and numerous consultants dealing with health, feeding, and facilities, became essential to develop working protocols, monitor training and day-to-day chores, and evaluate current trends and revenues. Good management teams inspect and follow through with what is routinely expected of workers. As herd size will undoubtedly increase in the future, practical reproductive management must evolve to adapt to the new technologies that may find more herds being milked robotically and applying technologies not yet conceived or introduced.
哺乳动物生殖过程调控机制的基础知识在 20 世纪早期还十分有限。上个世纪早期发现的生理过程和机制为当今用于管理和控制奶牛繁殖的技术和方案奠定了基础。除了在基础生殖生物学中对促性腺激素支持和控制卵巢和子宫功能的理解取得进展外,人工授精 (AI) 和遗传学方面的进展也促进了奶牛重要经济性状的快速遗传进展。与管理相关的技术都为生殖管理的发展做出了贡献,包括 (1) 诱导发情和排卵以促进 AI 方案的激素;(2) 通过超声或测量胚胎来源的妊娠相关糖蛋白进行妊娠诊断;(3) 最初只为监测身体活动而设计的发情检测辅助工具,但现在也可以量化采食、休息和反刍时间以及耳温;(4) 性别分选精液;(5) 计算机和计算机化记录软件包;(6) 用于跟踪牛位置和检索牛记录的手持设备;以及 (7) 基因组学以提高生殖和其他重要经济性状的遗传进展。由于产奶量和组成性状的遗传进展,自 20 世纪 90 年代中期以来,美国的奶牛数量一直保持稳定,约有 9 到 9.5 百万头。因此,许多这些技术和管理上的变化都是在牛群规模不断扩大(自 1990 年以来增加了 4 倍)以及从牧场或干草场奶牛向增加在带有自由站立式畜栏和饲料线锁定装置的封闭畜舍中饲养奶牛的情况下开发的。“类似”奶牛群的管理与单头奶牛的管理同样重要。管理团队,包括业主经理、牧民、AI 代表、挤奶工和处理健康、饲养和设施的众多顾问,都成为制定工作协议、监测培训和日常工作以及评估当前趋势和收入的必要条件。优秀的管理团队会检查和跟进工人的日常工作。随着未来牛群规模无疑会增加,实际的繁殖管理必须不断发展,以适应可能会发现更多的牛群采用机器人挤奶以及应用尚未构思或引入的技术的新技术。