{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:39:48Z","timestamp":1778459988900,"version":"3.51.4"},"reference-count":16,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T00:00:00Z","timestamp":1578614400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Animals"],"abstract":"<jats:p>Globally, cattle production has more than doubled since the 1960s, with widespread use of artificial insemination (AI) and an emphasis on a small pool of high genetic merit animals. Selecting AI bulls with optimal fertility is, therefore, vital, as impaired fertility reduces genetic gains and production, resulting in heavy financial and environmental losses. Chromosome translocations, particularly the 1;29 Robertsonian translocation, are a common cause of reduced fertility; however, reciprocal translocations are significantly underreported due to the difficulties inherent in analysing cattle chromosomes. Based on our porcine work, we have developed an approach for the unambiguous detection of Robertsonian and reciprocal translocations, using a multiple-hybridization probe detection strategy. We applied this method on the chromosomes of 39 bulls, detecting heterozygous and homozygous 1;29 translocations and a 12;23 reciprocal translocation in a total of seven animals. Previously, karyotype analysis was the only method of diagnosing chromosomal rearrangements in cattle, and was time-consuming and error-prone. With calving rates of only 50\u201360%, it is vital to reduce further fertility loss in order to maximise productivity. The approach developed here identifies abnormalities that DNA sequencing will not, and has the potential to lead to long-term gains, delivering meat and milk products in a more cost-effective and environmentally-responsible manner to a growing population.<\/jats:p>","DOI":"10.3390\/ani10010114","type":"journal-article","created":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T10:20:29Z","timestamp":1578651629000},"page":"114","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A New Approach for Accurate Detection of Chromosome Rearrangements That Affect Fertility in Cattle"],"prefix":"10.3390","volume":"10","author":[{"given":"Rebecca L.","family":"Jennings","sequence":"first","affiliation":[{"name":"School of Biosciences, University of Kent, Giles Lane, Canterbury CT2 7NJ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7595-3226","authenticated-orcid":false,"given":"Darren K.","family":"Griffin","sequence":"additional","affiliation":[{"name":"School of Biosciences, University of Kent, Giles Lane, Canterbury CT2 7NJ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4270-970X","authenticated-orcid":false,"given":"Rebecca E.","family":"O\u2019Connor","sequence":"additional","affiliation":[{"name":"School of Biosciences, University of Kent, Giles Lane, Canterbury CT2 7NJ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,10]]},"reference":[{"key":"ref_1","unstructured":"Ritchie, H., and Roser, M. (2020, January 10). Meat and Dairy Production. Our World Data 2017. Available online: https:\/\/ourworldindata.org\/meat-production."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"779","DOI":"10.2527\/jas.2011-4311","article-title":"Application of computer-assisted semen analysis to explain variations in pig fertility","volume":"90","author":"Broekhuijse","year":"2012","journal-title":"J. Anim. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1111\/j.1439-0531.2008.01186.x","article-title":"Breeding Soundness Evaluation and Semen Analysis for Predicting Bull Fertility","volume":"43","author":"Kastelic","year":"2008","journal-title":"Reprod. Domest. 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[2nd ed.].","DOI":"10.1079\/9781780642215.0000"},{"key":"ref_8","first-page":"395","article-title":"50 years of studies on bovine 1\/29 Robertsonian translocation-from Giemsa staining to genomic analysis","volume":"22","author":"Switonski","year":"2014","journal-title":"Chromosome Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1159\/000118738","article-title":"Cytogenetic screening of livestock populations in Europe: An overview","volume":"120","author":"Ducos","year":"2008","journal-title":"Cytogenet. Genome Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1159\/000118744","article-title":"Meiotic segregation analysis in cows carrying the t(1;29) Robertsonian translocation","volume":"120","author":"Lacaze","year":"2008","journal-title":"Cytogenet. 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