한국수정란이식학회지 (Journal of Embryo Transfer)

  • 제32권3호
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  • Pages.159-163
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  • 2017
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  • 2508-755X(pISSN)
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  • 2288-0178(eISSN)
한국수정란이식학회 (The Korean Society of Embryo Transfer)
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우간다 낙농가에서 Ovsynch 방법에 의한 발정동기화 및 수태율

Estrus Synchronization and Pregnancy Rate Using Ovsynch Method in Uganda Dairy Farms

  • 권대진 (전북대학교 국제농업개발협력센터) ;
  • 임석기 (전북대학교 국제농업개발협력센터) ;
  • 김현 ((주)티엔티리써치) ;
  • 이학교 (전북대학교 국제농업개발협력센터) ;
  • 송기덕 (전북대학교 국제농업개발협력센터)
  • Kwon, Dae-Jin (International Agricultural Development and Cooperation Center, Chonbuk National University) ;
  • Im, Seok Ki (International Agricultural Development and Cooperation Center, Chonbuk National University) ;
  • Kim, Hyun (TNT Research Co., Ltd) ;
  • Lee, Hak-Kyo (International Agricultural Development and Cooperation Center, Chonbuk National University) ;
  • Song, Ki-Duk (International Agricultural Development and Cooperation Center, Chonbuk National University)
  • 투고 : 2017.03.18
  • 심사 : 2017.09.08
  • 발행 : 2017.09.30
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초록

The artificial insemination (AI) is one of the best assisted reproductive technologies for increasing reproductive capacity and facilitating the genetic improvement in farm animals. AI has been used in Uganda for over 60 years, but a small population of the total herd has been used. This study was conducted to investigate the efficacy of AI with estrus synchronization technique and to propose ways of improving the productivity of dairy farms through AI services in Uganda. In total, 78 cows from 11 dairy farms were selected for timed-AI. Synchronization was performed according to the ovsynch programs followed by AI using frozen semen from Korean Holstein (0.5 ml straws). Pregnancy rate was varying among farms (0-50%) and the overall pregnancy rate was 28.2%. Cows in luteal phase at the time of treatment was 40.0% whereas that in follicular phase was 20.8%. After treatment, cows that showed normal estrus signal were 45.5% (25/55). Abnormal estrus was categorized into pre-estrus (9.1%), cystic ovaries (21.8%), anestrus (18.2%) and delayed ovulation (5.5%), respectively. These results imply that an assured protocol for timed-AI should be developed to improve the productivity of dairy farms through AI services in Uganda.

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참고문헌

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