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Effect of Genetic and Environmental Factors on Twin Pregnancy in Primiparous Dairy Cows.
López-Gatius, Fernando; Garcia-Ispierto, Irina; Ganau, Sergi; Wijma, Robert; Weigel, Daniel J; Di Croce, Fernando A.
Afiliação
  • López-Gatius F; Agrotecnio Centre, 25198 Lleida, Spain.
  • Garcia-Ispierto I; Transfer in Bovine Reproduction SLu, 22300 Barbastro, Spain.
  • Ganau S; Agrotecnio Centre, 25198 Lleida, Spain.
  • Wijma R; Department of Animal Science, University of Lleida, 25198 Lleida, Spain.
  • Weigel DJ; Granja Sant Josep, La Melusa, 22549 Tamarite, Spain.
  • Di Croce FA; Zoetis Inc., 333 Portage Street, Kalamazoo, MI 49007, USA.
Animals (Basel) ; 13(12)2023 Jun 16.
Article em En | MEDLINE | ID: mdl-37370518
ABSTRACT
Twin pregnancies are highly undesirable in dairy cattle; they compromise the health and wellbeing of a cow and dramatically impair the farm economy. Recently, a genomic prediction for twin pregnancies has been developed. The objective of this study was to assess environmental and management risk factors affecting the incidence of twin pregnancies in high-producing dairy cows in their first lactation, with a special emphasis placed on the genomic prediction values of twin pregnancy. Our study population of primiparous cows proved valuable in identifying factors other than genomic predictive values that influence twin pregnancy rates. The odds ratio for twin pregnancies was 0.85 (p < 0.0001) for each unit of a prediction value increase, 3.5 (p = 0.023) for cows becoming pregnant during the negative photoperiod, and 0.33 (p = 0.016) for cows producing ≥42 kg of milk at AI, compared with the remaining cows who produced <42 kg of milk. As a general conclusion, the practical implication of our findings is that genomic prediction values can identify the risk of twin pregnancy at a herd level. Given the cumulative effect of genomic selection, selecting animals with a reduced genetic risk of twin pregnancies can contribute to reducing the incidence of twin pregnancies in dairy herds.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article