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Prediction of the Spontaneous Estrus Expression Period Based on Large (≥10 mm) Follicle Numbers in Lactating Holstein Dairy Cows.
Miura, Ryotaro; Inoue, Takuma; Kunugi, Yuka; Yasukawa, Miya; Koyama, Saku; Sato, Rena; Matsumura, Tomochika; Tajima, Tsuyoshi; Yoshimura, Itaru; Ajito, Tadaharu.
Affiliation
  • Miura R; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Inoue T; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Kunugi Y; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Yasukawa M; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Koyama S; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Sato R; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Matsumura T; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Tajima T; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
  • Yoshimura I; Fuji Animal Farm, Nippon Veterinary and Life Science University, Fujikawaguchiko, Yamanashi 401-0338, Japan.
  • Ajito T; Faculty of Veterinary Science, School of Veterinary, Nippon Veterinary and Life Science University, Kyonan, Musashino, Tokyo 180-8602, Japan.
Vet Sci ; 10(3)2023 Mar 17.
Article in En | MEDLINE | ID: mdl-36977270
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Vet Sci Year: 2023 Document type: Article Affiliation country: Japan Country of publication: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Vet Sci Year: 2023 Document type: Article Affiliation country: Japan Country of publication: Switzerland