earticle

논문검색

Poster Presentation : General Reproduction/Superovulation/AI/ET

Effect of Ovsynch Method on Pregnancy Rate in Dairy Farms in Uganda

초록

영어

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 were 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.

저자정보

  • Dae-Jin Kwon International Agricultural Development and Cooperation Center, Chonbuk National University, Jeonju 54896, Korea
  • Seok Ki Im International Agricultural Development and Cooperation Center, Chonbuk National University, Jeonju 54896, Korea
  • Hyun Kim TNT Research Co., Ltd, Jeonju 54810, Korea
  • Hak-Kyo Lee International Agricultural Development and Cooperation Center, Chonbuk National University, Department of Animal Biotechnology, Chonbuk National University, Jeonju 54896, Korea
  • Ki-Duk Song International Agricultural Development and Cooperation Center, Chonbuk National University, Department of Animal Biotechnology, Chonbuk National University, Jeonju 54896, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      0개의 논문이 장바구니에 담겼습니다.