Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3168/jds.2021-21766 http://hdl.handle.net/11449/239921 |
Resumo: | 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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Repositório Institucional da UNESP |
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Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattledaughter pregnancy ratepregnancy losspregnancy per artificial inseminationThe 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.Applied Animal Biology Faculty of Land and Food Systems University of British ColumbiaUniversity of Guelph, Ridgetown CampusDepartment of Animal Production São Paulo State UniversityDepartment of Animal Production São Paulo State UniversityUniversity of British ColumbiaUniversity of GuelphUniversidade Estadual Paulista (UNESP)Madureira, A. M.L.Denis-Robichaud, J.Guida, T. G. [UNESP]Cerri, R. L.A.Vasconcelos, J. L.M. [UNESP]2023-03-01T19:53:20Z2023-03-01T19:53:20Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article5534-5543http://dx.doi.org/10.3168/jds.2021-21766Journal of Dairy Science, v. 105, n. 6, p. 5534-5543, 2022.1525-31980022-0302http://hdl.handle.net/11449/23992110.3168/jds.2021-217662-s2.0-85128640634Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Dairy Scienceinfo:eu-repo/semantics/openAccess2023-03-01T19:53:20Zoai:repositorio.unesp.br:11449/239921Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T19:53:20Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
title |
Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
spellingShingle |
Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle Madureira, A. M.L. daughter pregnancy rate pregnancy loss pregnancy per artificial insemination |
title_short |
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_sort |
Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle |
author |
Madureira, A. M.L. |
author_facet |
Madureira, A. M.L. Denis-Robichaud, J. Guida, T. G. [UNESP] Cerri, R. L.A. Vasconcelos, J. L.M. [UNESP] |
author_role |
author |
author2 |
Denis-Robichaud, J. Guida, T. G. [UNESP] Cerri, R. L.A. Vasconcelos, J. L.M. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
University of British Columbia University of Guelph Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Madureira, A. M.L. Denis-Robichaud, J. Guida, T. G. [UNESP] Cerri, R. L.A. Vasconcelos, J. L.M. [UNESP] |
dc.subject.por.fl_str_mv |
daughter pregnancy rate pregnancy loss pregnancy per artificial insemination |
topic |
daughter pregnancy rate pregnancy loss pregnancy per artificial insemination |
description |
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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-01 2023-03-01T19:53:20Z 2023-03-01T19:53:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3168/jds.2021-21766 Journal of Dairy Science, v. 105, n. 6, p. 5534-5543, 2022. 1525-3198 0022-0302 http://hdl.handle.net/11449/239921 10.3168/jds.2021-21766 2-s2.0-85128640634 |
url |
http://dx.doi.org/10.3168/jds.2021-21766 http://hdl.handle.net/11449/239921 |
identifier_str_mv |
Journal of Dairy Science, v. 105, n. 6, p. 5534-5543, 2022. 1525-3198 0022-0302 10.3168/jds.2021-21766 2-s2.0-85128640634 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Dairy Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5534-5543 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1799965625435553792 |