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Artificial Insemination: Coverage and Constraints in Central High Land of Ethiopia

Received: 4 August 2021    Accepted: 18 August 2021    Published: 28 October 2021
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Abstract

A cross-sectional and retrospective investigation was conducted from November, 2017 to April, 2018 with objective of assessing service coverage and constraints that were affecting Artificial Insemination (AI), success rate in Welmera District, special Zone of Oromiya Regional State. Semi-structured questionnaires were pretested and administered to 395 respondents that were composed of a group small-holder dairy farmers (n=384), animal health and production professionals (AHPPs) (n=8) and artificial inseminations technicians (AITs) (n=3). Additionally retrospective data from 2011 to 2017 was considered to evaluate the previous situation of AI services in study site. The survey result showed that from 384 interviewed farmers; majority of them 71.1%, (273) didn’t use AI, 18.8% (72) used both AI and natural breeding, while 10.2% (39) used solely AI services to breed their cows. The distribution of AI services between small-holders located in urban, per-urban and rural localities in the study area was 78.95%, 46.25% and 12.88% respectively, with statistically significant difference (p<0.05). Many farmers (273) solely depended on natural breeding than using artificial insemination due to lack of awareness (27.7%), unfitness of their dairy cows for AI breeding (26.4%), long distance from AI center (24.4%), insufficient capital (13.3%) and shortage of feed (8.1%) to keep dairy cows. The major constraints among AI users were shortage of inputs 7.1%, unavailability of AI technicians 13.4% and conception failure 50.9%. In Wolemera district many farmers 73.3% used to take their cows to AI station for services while 26.7% call-up to technicians to have them at their farm gate for AI services. Generally from this study it was concluded that AI service coverage was inadequate with unequal distributions between small-holders in urban, peri- urban and rural localities. Therefore, AI service in the district requires serious attention so that appropriate solutions be given to alleviate the prevailing constraints.

Published in Animal and Veterinary Sciences (Volume 9, Issue 5)
DOI 10.11648/j.avs.20210905.15
Page(s) 149-155
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Insemination (AI), AI Service Coverage, Constraints, Welmera District

References
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Cite This Article
  • APA Style

    Temesgen K., Aster Y., Habtamu A. (2021). Artificial Insemination: Coverage and Constraints in Central High Land of Ethiopia. Animal and Veterinary Sciences, 9(5), 149-155. https://doi.org/10.11648/j.avs.20210905.15

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    ACS Style

    Temesgen K.; Aster Y.; Habtamu A. Artificial Insemination: Coverage and Constraints in Central High Land of Ethiopia. Anim. Vet. Sci. 2021, 9(5), 149-155. doi: 10.11648/j.avs.20210905.15

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    AMA Style

    Temesgen K., Aster Y., Habtamu A. Artificial Insemination: Coverage and Constraints in Central High Land of Ethiopia. Anim Vet Sci. 2021;9(5):149-155. doi: 10.11648/j.avs.20210905.15

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  • @article{10.11648/j.avs.20210905.15,
      author = {Temesgen K. and Aster Y. and Habtamu A.},
      title = {Artificial Insemination: Coverage and Constraints in Central High Land of Ethiopia},
      journal = {Animal and Veterinary Sciences},
      volume = {9},
      number = {5},
      pages = {149-155},
      doi = {10.11648/j.avs.20210905.15},
      url = {https://doi.org/10.11648/j.avs.20210905.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.avs.20210905.15},
      abstract = {A cross-sectional and retrospective investigation was conducted from November, 2017 to April, 2018 with objective of assessing service coverage and constraints that were affecting Artificial Insemination (AI), success rate in Welmera District, special Zone of Oromiya Regional State. Semi-structured questionnaires were pretested and administered to 395 respondents that were composed of a group small-holder dairy farmers (n=384), animal health and production professionals (AHPPs) (n=8) and artificial inseminations technicians (AITs) (n=3). Additionally retrospective data from 2011 to 2017 was considered to evaluate the previous situation of AI services in study site. The survey result showed that from 384 interviewed farmers; majority of them 71.1%, (273) didn’t use AI, 18.8% (72) used both AI and natural breeding, while 10.2% (39) used solely AI services to breed their cows. The distribution of AI services between small-holders located in urban, per-urban and rural localities in the study area was 78.95%, 46.25% and 12.88% respectively, with statistically significant difference (p<0.05). Many farmers (273) solely depended on natural breeding than using artificial insemination due to lack of awareness (27.7%), unfitness of their dairy cows for AI breeding (26.4%), long distance from AI center (24.4%), insufficient capital (13.3%) and shortage of feed (8.1%) to keep dairy cows. The major constraints among AI users were shortage of inputs 7.1%, unavailability of AI technicians 13.4% and conception failure 50.9%. In Wolemera district many farmers 73.3% used to take their cows to AI station for services while 26.7% call-up to technicians to have them at their farm gate for AI services. Generally from this study it was concluded that AI service coverage was inadequate with unequal distributions between small-holders in urban, peri- urban and rural localities. Therefore, AI service in the district requires serious attention so that appropriate solutions be given to alleviate the prevailing constraints.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Artificial Insemination: Coverage and Constraints in Central High Land of Ethiopia
    AU  - Temesgen K.
    AU  - Aster Y.
    AU  - Habtamu A.
    Y1  - 2021/10/28
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    DO  - 10.11648/j.avs.20210905.15
    T2  - Animal and Veterinary Sciences
    JF  - Animal and Veterinary Sciences
    JO  - Animal and Veterinary Sciences
    SP  - 149
    EP  - 155
    PB  - Science Publishing Group
    SN  - 2328-5850
    UR  - https://doi.org/10.11648/j.avs.20210905.15
    AB  - A cross-sectional and retrospective investigation was conducted from November, 2017 to April, 2018 with objective of assessing service coverage and constraints that were affecting Artificial Insemination (AI), success rate in Welmera District, special Zone of Oromiya Regional State. Semi-structured questionnaires were pretested and administered to 395 respondents that were composed of a group small-holder dairy farmers (n=384), animal health and production professionals (AHPPs) (n=8) and artificial inseminations technicians (AITs) (n=3). Additionally retrospective data from 2011 to 2017 was considered to evaluate the previous situation of AI services in study site. The survey result showed that from 384 interviewed farmers; majority of them 71.1%, (273) didn’t use AI, 18.8% (72) used both AI and natural breeding, while 10.2% (39) used solely AI services to breed their cows. The distribution of AI services between small-holders located in urban, per-urban and rural localities in the study area was 78.95%, 46.25% and 12.88% respectively, with statistically significant difference (p<0.05). Many farmers (273) solely depended on natural breeding than using artificial insemination due to lack of awareness (27.7%), unfitness of their dairy cows for AI breeding (26.4%), long distance from AI center (24.4%), insufficient capital (13.3%) and shortage of feed (8.1%) to keep dairy cows. The major constraints among AI users were shortage of inputs 7.1%, unavailability of AI technicians 13.4% and conception failure 50.9%. In Wolemera district many farmers 73.3% used to take their cows to AI station for services while 26.7% call-up to technicians to have them at their farm gate for AI services. Generally from this study it was concluded that AI service coverage was inadequate with unequal distributions between small-holders in urban, peri- urban and rural localities. Therefore, AI service in the district requires serious attention so that appropriate solutions be given to alleviate the prevailing constraints.
    VL  - 9
    IS  - 5
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Holeta Animal Health Research Program, Holeta, Ethiopia

  • Ethiopian Institute of Agricultural Research, Holeta Animal Health Research Program, Holeta, Ethiopia

  • Ethiopian Institute of Agricultural Research, Holeta Animal Health Research Program, Holeta, Ethiopia

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