Association between genomic daughter pregnancy rates and reproductive parameters in Holstein dairy cattle

Detalhes bibliográficos
Autor(a) principal: Madureira, A. M.L.
Data de Publicação: 2022
Outros Autores: Denis-Robichaud, J., Guida, T. G. [UNESP], Cerri, R. L.A., Vasconcelos, J. L.M. [UNESP]
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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spelling 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
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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)
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instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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