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The semen quality of boars is primarily affected by breed and season. <jats:styled-content style=\"fixed-case\">AI<\/jats:styled-content> centres routinely examine boar semen to predict male fertility. Overall, the evaluation of classical parameters, such as sperm morphology, sperm motility, sperm concentration and ejaculate volume, allows the identification of ejaculates corresponding to poor fertility but not high\u2010efficiency prediction of field fertility. The development of new sperm tests for measuring certain sperm functions has attempted to solve this problem. Fluorescence staining can categorize live and dead spermatozoa in the ejaculate and identify spermatozoa with active mitochondria. Computer\u2010assisted semen analysis (<jats:styled-content style=\"fixed-case\">CASA<\/jats:styled-content>) provides an objective assessment of multiple kinetic sperm parameters. However, sperm tests usually assess only single factors involved in the fertilization process. Thus, basing prediction of fertilizing capacity on a selective collection of sperm tests leads to greater accuracy than using single tests. In the present brief review, recent diagnostic laboratory methods that directly relate to <jats:styled-content style=\"fixed-case\">AI<\/jats:styled-content> performance as well as the development of a new boar fertility <jats:italic>in\u00a0vitro<\/jats:italic> index are discussed.<\/jats:p>","DOI":"10.1111\/rda.12533","type":"journal-article","created":{"date-parts":[[2015,7,16]],"date-time":"2015-07-16T05:23:21Z","timestamp":1437024201000},"page":"20-24","source":"Crossref","is-referenced-by-count":53,"title":["<i>In Vitro<\/i> Measures for Assessing Boar Semen Fertility"],"prefix":"10.1111","volume":"50","author":[{"given":"M","family":"Jung","sequence":"first","affiliation":[{"name":"Institute for the Reproduction of Farm Animals Sch\u00f6now Inc. 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