Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle
ABSTRACT: The objective of this observational study was to evaluate the relationship between genomic daughter pregnancy rate (GDPR) with reproduction parameters such as pregnancy at first artificial insemination (AI), pregnancy per AI, and pregnancy losses (PL). A total of 12,949 events from 3,499 H...
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Elsevier
2022-06-01
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author | A.M.L. Madureira J. Denis-Robichaud T.G. Guida R.L.A. Cerri J.L.M. Vasconcelos |
author_facet | A.M.L. Madureira J. Denis-Robichaud T.G. Guida R.L.A. Cerri J.L.M. Vasconcelos |
author_sort | A.M.L. Madureira |
collection | DOAJ |
description | ABSTRACT: The objective of this observational study was to evaluate the relationship between genomic daughter pregnancy rate (GDPR) with reproduction parameters such as pregnancy at first artificial insemination (AI), pregnancy per AI, and pregnancy losses (PL). A total of 12,949 events from 3,499 Holstein cows were included. Cows were enrolled as nulliparous (n = 1,220), primiparous (n = 1,314), or multiparous (n = 965). Cows were bred either after a timed AI protocol, timed embryo transfer (ET), or spontaneous estrus. Most lactating cows were bred following a timed AI protocol based on estradiol and progesterone, and most nulliparous were artificially inseminated following estrus detection. Hair samples were collected from the tail switch and cows were genotyped using a SNP platform (Clarifide, Zoetis). Cows that were bred by timed AI were evaluated for estrous behavior using tail chalk. Tail chalk was applied on the head of the tail 2 d before timed AI and the chalk was evaluated at AI (no estrus: 100% of chalk remaining or ≥50% of chalk remaining; Estrus: <50% of chalk remaining). Pregnancy diagnosis was performed at d 32 and 60 after AI using ultrasonography, and the presence of a heartbeat was considered a positive diagnosis. Pregnancy loss was defined as a pregnant cow on d 32 that was nonpregnant on d 60. As GDPR increased, the odds of pregnancy at first AI increased [odds ratio (OR) = 1.28, 95% CI = 1.20–1.35], the odds of pregnancy per AI increased (OR = 1.31, 95% CI = 1.25–1.36), and the odds of PL decreased (OR = 0.66, 95% CI = 0.60–0.72). Most cows that were bred on the day of the timed AI demonstrated estrus (n = 6,075; 92.9%). The odds of demonstrating estrus on the day of timed AI increased as GDPR increased (OR = 1.31, 95% CI = 1.17–1.48). There was no interaction between GDPR and parity or breeding management for pregnancy at first AI, pregnancy per AI, and PL. In conclusion, the odds of pregnancy at first AI and pregnancy per AI increased as GDPR increased. Moreover, the odds of PL increased as GDPR decreased. Greater GDPR was also associated with greater occurrence of estrus on the day of timed AI. These results suggest that selecting for higher GDPR could result in better reproductive performance, but this would need to be assessed with additional research. |
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spelling | doaj.art-0d04320bb0bb40d983ee4b7a465aec342022-12-22T03:36:48ZengElsevierJournal of Dairy Science0022-03022022-06-01105655345543Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattleA.M.L. Madureira0J. Denis-Robichaud1T.G. Guida2R.L.A. Cerri3J.L.M. Vasconcelos4Applied Animal Biology, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada V6T 1Z4; University of Guelph, Ridgetown Campus, Ridgetown, ON, Canada N0P 2C0Applied Animal Biology, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada V6T 1Z4Department of Animal Production, São Paulo State University, Botucatu, Brazil 18168-000Applied Animal Biology, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada V6T 1Z4Department of Animal Production, São Paulo State University, Botucatu, Brazil 18168-000; Corresponding authorABSTRACT: The objective of this observational study was to evaluate the relationship between genomic daughter pregnancy rate (GDPR) with reproduction parameters such as pregnancy at first artificial insemination (AI), pregnancy per AI, and pregnancy losses (PL). A total of 12,949 events from 3,499 Holstein cows were included. Cows were enrolled as nulliparous (n = 1,220), primiparous (n = 1,314), or multiparous (n = 965). Cows were bred either after a timed AI protocol, timed embryo transfer (ET), or spontaneous estrus. Most lactating cows were bred following a timed AI protocol based on estradiol and progesterone, and most nulliparous were artificially inseminated following estrus detection. Hair samples were collected from the tail switch and cows were genotyped using a SNP platform (Clarifide, Zoetis). Cows that were bred by timed AI were evaluated for estrous behavior using tail chalk. Tail chalk was applied on the head of the tail 2 d before timed AI and the chalk was evaluated at AI (no estrus: 100% of chalk remaining or ≥50% of chalk remaining; Estrus: <50% of chalk remaining). Pregnancy diagnosis was performed at d 32 and 60 after AI using ultrasonography, and the presence of a heartbeat was considered a positive diagnosis. Pregnancy loss was defined as a pregnant cow on d 32 that was nonpregnant on d 60. As GDPR increased, the odds of pregnancy at first AI increased [odds ratio (OR) = 1.28, 95% CI = 1.20–1.35], the odds of pregnancy per AI increased (OR = 1.31, 95% CI = 1.25–1.36), and the odds of PL decreased (OR = 0.66, 95% CI = 0.60–0.72). Most cows that were bred on the day of the timed AI demonstrated estrus (n = 6,075; 92.9%). The odds of demonstrating estrus on the day of timed AI increased as GDPR increased (OR = 1.31, 95% CI = 1.17–1.48). There was no interaction between GDPR and parity or breeding management for pregnancy at first AI, pregnancy per AI, and PL. In conclusion, the odds of pregnancy at first AI and pregnancy per AI increased as GDPR increased. Moreover, the odds of PL increased as GDPR decreased. Greater GDPR was also associated with greater occurrence of estrus on the day of timed AI. These results suggest that selecting for higher GDPR could result in better reproductive performance, but this would need to be assessed with additional research.http://www.sciencedirect.com/science/article/pii/S002203022200234Xdaughter pregnancy ratepregnancy losspregnancy per artificial insemination |
spellingShingle | A.M.L. Madureira J. Denis-Robichaud T.G. Guida R.L.A. Cerri J.L.M. Vasconcelos Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle Journal of Dairy Science daughter pregnancy rate pregnancy loss pregnancy per artificial insemination |
title | Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
title_full | Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
title_fullStr | Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
title_full_unstemmed | Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
title_short | Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
title_sort | association between genomic daughter pregnancy rates and reproductive parameters in holstein dairy cattle |
topic | daughter pregnancy rate pregnancy loss pregnancy per artificial insemination |
url | http://www.sciencedirect.com/science/article/pii/S002203022200234X |
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