Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia
A cross-sectional study was conducted from November 2019 to May 2020 in and around Haramaya Town to study the risk factors of artificial insemination (AI) in dairy cattle and evaluate the economic impact of failure of first service AI. A questionnaire survey and field follow-up were employed for col...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Veterinary Medicine International |
| Online Access: | http://dx.doi.org/10.1155/2021/6622487 |
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| author | Muhammed Hamid Sadam Abduraman Belege Tadesse |
| author_facet | Muhammed Hamid Sadam Abduraman Belege Tadesse |
| author_sort | Muhammed Hamid |
| collection | DOAJ |
| description | A cross-sectional study was conducted from November 2019 to May 2020 in and around Haramaya Town to study the risk factors of artificial insemination (AI) in dairy cattle and evaluate the economic impact of failure of first service AI. A questionnaire survey and field follow-up were employed for collecting data from cattle owners and artificial insemination technicians (AITs) who were selected purposively. Out of the 221 inseminated cows and heifers, the overall conception rate was 60.2% (n = 133). The conception rate was statistically different between breed (P=0.019) and insemination time (P=0.049). From a total of 133 conceived cows and heifers, the conception rate was 68 (53.54%) in local breeds and 65 (69.15%) in cross breeds. Parity, age of cows, inseminator experience, and body condition of cows did not create a significant difference in conception rate (P>0.05). Failure to conceive at their first AI results in an extra cost of 440 ETB per day until conception. Therefore, to increase the conception rate, dairy cows should be inseminated early when they show signs of estrous; the owners of dairy cows should be trained on how to detect estrous signs in dairy cows and AI technicians should also take training in order to improve their skills. |
| format | Article |
| id | doaj-art-429ab0d3a12e44629aad5d3332d71ae6 |
| institution | Kabale University |
| issn | 2090-8113 2042-0048 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Veterinary Medicine International |
| spelling | doaj-art-429ab0d3a12e44629aad5d3332d71ae62025-02-03T01:24:12ZengWileyVeterinary Medicine International2090-81132042-00482021-01-01202110.1155/2021/66224876622487Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern EthiopiaMuhammed Hamid0Sadam Abduraman1Belege Tadesse2Samara University, College of Veterinary Medicine, PO. Box. 132, Samara, EthiopiaSamara University, College of Veterinary Medicine, PO. Box. 132, Samara, EthiopiaWollo University, School of Veterinary Medicine, PO. Box 1145, Dessie, EthiopiaA cross-sectional study was conducted from November 2019 to May 2020 in and around Haramaya Town to study the risk factors of artificial insemination (AI) in dairy cattle and evaluate the economic impact of failure of first service AI. A questionnaire survey and field follow-up were employed for collecting data from cattle owners and artificial insemination technicians (AITs) who were selected purposively. Out of the 221 inseminated cows and heifers, the overall conception rate was 60.2% (n = 133). The conception rate was statistically different between breed (P=0.019) and insemination time (P=0.049). From a total of 133 conceived cows and heifers, the conception rate was 68 (53.54%) in local breeds and 65 (69.15%) in cross breeds. Parity, age of cows, inseminator experience, and body condition of cows did not create a significant difference in conception rate (P>0.05). Failure to conceive at their first AI results in an extra cost of 440 ETB per day until conception. Therefore, to increase the conception rate, dairy cows should be inseminated early when they show signs of estrous; the owners of dairy cows should be trained on how to detect estrous signs in dairy cows and AI technicians should also take training in order to improve their skills.http://dx.doi.org/10.1155/2021/6622487 |
| spellingShingle | Muhammed Hamid Sadam Abduraman Belege Tadesse Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia Veterinary Medicine International |
| title | Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia |
| title_full | Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia |
| title_fullStr | Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia |
| title_full_unstemmed | Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia |
| title_short | Risk Factors for the Efficiency of Artificial Insemination in Dairy Cows and Economic Impact of Failure of First Service Insemination in and around Haramaya Town, Oromia Region, Eastern Ethiopia |
| title_sort | risk factors for the efficiency of artificial insemination in dairy cows and economic impact of failure of first service insemination in and around haramaya town oromia region eastern ethiopia |
| url | http://dx.doi.org/10.1155/2021/6622487 |
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