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dc.contributor.authorRojas Canadas, E.
dc.contributor.authorHerlihy, M.M.
dc.contributor.authorKenneally, J.
dc.contributor.authorGrant, J.
dc.contributor.authorKearney, F.
dc.contributor.authorLonergan, P.
dc.contributor.authorButler, Stephen
dc.date.accessioned2020-10-14T15:59:42Z
dc.date.available2020-10-14T15:59:42Z
dc.date.issued2019-10-01
dc.identifier.citationE. Rojas Canadas, M.M. Herlihy, J. Kenneally, J. Grant, F. Kearney, P. Lonergan, S.T. Butler, Associations between postpartum fertility phenotypes and genetic traits in seasonal-calving, pasture-based lactating dairy cows, Journal of Dairy Science, Volume 103, Issue 1, 2020, https://doi.org/10.3168/jds.2018-16000en_US
dc.identifier.urihttp://hdl.handle.net/11019/2340
dc.descriptionpeer-revieweden_US
dc.description.abstractThe objective of this study was to evaluate the associations between corpus luteum (CL) status, uterine health, body condition score (BCS), metabolic status, and parity at wk 3 and 7 postpartum in seasonal-calving, pasture-based, lactating dairy cows. The associations between those phenotypes and individual genetic traits were also evaluated. First- and second-parity spring-calving lactating dairy cows (n = 2,600) from 35 dairy farms in Ireland were enrolled. Farms were visited every 2 weeks; cows that were at wk 3 (range 14 to 27 DIM) and wk 7 (range 42 to 55 DIM) postpartum were examined. Body condition score was measured using a scale of 1 to 5 with 0.25 increments. Transrectal ultrasound examination was performed at wk 3 and 7 postpartum to determine presence or absence of CL and ultrasound reproductive tract score. Blood samples were collected at each visit and the concentrations of glucose, β-hydroxybutyrate (BHB), and fatty acids (FA) were analyzed by using enzymatic colorimetry. Cows were grouped into 3 BCS categories [low (≤2.5), target (≥2.75 and ≤3.25), and high (≥3.5)]; 2 CL status categories: (present or absent); 2 uterine health status (UHS) categories (normal and abnormal); and 3 metabolic status categories [good (high glucose, low fatty acids and BHB), poor (low glucose, high fatty acids and BHB), and moderate (all other combinations)]. Fisher's exact test was used to test associations between variables and was supplemented by logistic regression. We found associations between UHS (wk 3 and 7), BCS (wk 3 and 7), parity (wk 3 and 7) metabolic status (wk 3), and predicted transmitting ability for calving interval (PTA for CIV; wk 3) and CL status. Cows that had abnormal UHS, low BCS, primiparity, and poor metabolic status, and were in the quartile with the greatest PTA for CIV were less likely to have had CL present at wk 3 and 7 postpartum. We also found associations between CL status (wk 3 and 7), BCS (wk 3 and 7), parity (wk 3 and 7), and PTA for CIV (wk 3) and UHS. Cows that did not have a CL present had low BCS, primiparity, and that were in the quartile with greatest PTA for CIV, had a greater risk of abnormal UHS at wk 3 and 7 postpartum. We observed strong associations between CL status, UHS, BCS, metabolic status, parity, and individual genetic traits at wk 3 and 7 postpartum in seasonal-calving, pasture-based lactating dairy cows. Achieving target BCS and good metabolic status, and selecting cows based on PTA for CIV, are all expected to increase the likelihood of hastening the resumption of estrous cyclicity and enhancing uterine health during the postpartum period.en_US
dc.language.isoenen_US
dc.publisherElsevier for American Dairy Science Associationen_US
dc.relation.ispartofseriesJournal of Dairy Science;103
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttps://www.elsevier.com/tdm/userlicense/1.0/
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectuterine infectionen_US
dc.subjectanestrusen_US
dc.subjectphenotypic associationsen_US
dc.subjectgenetic merit for fertility traitsen_US
dc.titleAssociations between postpartum fertility phenotypes and genetic traits in seasonal-calving, pasture-based lactating dairy cowsen_US
dc.typeArticleen_US
dc.embargo.terms2021/01/31en_US
dc.identifier.doihttps://doi.org/10.3168/jds.2018-16000
dc.contributor.sponsorDepartment of Agriculture, Food and the Marineen_US
dc.contributor.sponsorGrantNumberRSF13S528en_US
dc.source.volume103
dc.source.issue1
dc.source.beginpage1002
dc.source.endpage1015
dc.source.journaltitleJournal of Dairy Science


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