Factors Influencing Pregnancy Rates in Cattle Following Artificial Insemination in Rural Settings: A Case Study from Southwestern Bangladesh
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2026
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| author | 1 Mohammad Shahriar Alam 2 Fatima Islam 3 Nasrin Akhter Jyoti 3Tapan Kumar Roy |
| author_facet | 1 Mohammad Shahriar Alam 2 Fatima Islam 3 Nasrin Akhter Jyoti 3Tapan Kumar Roy |
| contents | <p>3Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Rangamati Science and Technology University, Rangamati-4500, Bangladesh</p><p>This study was carried out to evaluate the influencing factors that affect the reproductive performance of cows at the Monirampur upazila in Jessore district of Bangladesh. A total of 224 cows were brought to the upazila livestock hospital for artificial insemination (AI). The cows were inseminated between 12 to 18 hours from the onset of estrus and data was obtained from the owner. Out of 224 cows, 133 became pregnant and 91 were non pregnant. In this study, the overall pregnancy rate was 59.29%. Among the age variability, the highest pregnancy rate (70.27%) was at the age of 4 years old. In case of breed variation, the highest pregnancy rate was observed in local breed (69.07%) compared with other crossbred cows. Hence the breed variations significantly influence the conception rate of cows. According to the parity, we found that the pregnancy rate was increasing with their parity but decreasing after 4th parity. The highest conception rate was observed in 3rd parity (67.74%) which was significantly higher than that of heifers (Parity-0). Here we also found that the types of bull semen used for AI had no significant effect for pregnancy rate. The skills of AI technician for AI to cows were significantly affecting the pregnancy rate. However, this study is not enough for rating and comment about the reproduction performance of cows. Therefore, further extensive study is needed for rating and recommendation for the cattle up gradation at that particular area.</p><p>(Key word: pregnancy rate, AI, holstein cross, sahiwal cross, red chittagonj cattle, parity)</p><p>Pregnancy rate in cows reflect the reproductive performance of a dairy herd. Cow's artificial insemination is widely used throughout the world to improve the reproductive efficiency of cows. Accordingly, the Government of Bangladesh has been introduced AI since sixties. However, the achievements through AI in Bangladesh are still unsatisfactory. The success of any AI program may be influenced by many factors (Shamsuddin et al., 2001; Paul et al., 2011). An inefficient AI program is not only cause of reduced pregnancy rates and fertility but also causes huge economic loss to the farmers (Paul, 2010; Lopez-Gatius, 2013).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19097033 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
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| spellingShingle | Factors Influencing Pregnancy Rates in Cattle Following Artificial Insemination in Rural Settings: A Case Study from Southwestern Bangladesh 1 Mohammad Shahriar Alam 2 Fatima Islam 3 Nasrin Akhter Jyoti 3Tapan Kumar Roy Psychiatry Mental Health Medical Research Open Access <p>3Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Rangamati Science and Technology University, Rangamati-4500, Bangladesh</p><p>This study was carried out to evaluate the influencing factors that affect the reproductive performance of cows at the Monirampur upazila in Jessore district of Bangladesh. A total of 224 cows were brought to the upazila livestock hospital for artificial insemination (AI). The cows were inseminated between 12 to 18 hours from the onset of estrus and data was obtained from the owner. Out of 224 cows, 133 became pregnant and 91 were non pregnant. In this study, the overall pregnancy rate was 59.29%. Among the age variability, the highest pregnancy rate (70.27%) was at the age of 4 years old. In case of breed variation, the highest pregnancy rate was observed in local breed (69.07%) compared with other crossbred cows. Hence the breed variations significantly influence the conception rate of cows. According to the parity, we found that the pregnancy rate was increasing with their parity but decreasing after 4th parity. The highest conception rate was observed in 3rd parity (67.74%) which was significantly higher than that of heifers (Parity-0). Here we also found that the types of bull semen used for AI had no significant effect for pregnancy rate. The skills of AI technician for AI to cows were significantly affecting the pregnancy rate. However, this study is not enough for rating and comment about the reproduction performance of cows. Therefore, further extensive study is needed for rating and recommendation for the cattle up gradation at that particular area.</p><p>(Key word: pregnancy rate, AI, holstein cross, sahiwal cross, red chittagonj cattle, parity)</p><p>Pregnancy rate in cows reflect the reproductive performance of a dairy herd. Cow's artificial insemination is widely used throughout the world to improve the reproductive efficiency of cows. Accordingly, the Government of Bangladesh has been introduced AI since sixties. However, the achievements through AI in Bangladesh are still unsatisfactory. The success of any AI program may be influenced by many factors (Shamsuddin et al., 2001; Paul et al., 2011). An inefficient AI program is not only cause of reduced pregnancy rates and fertility but also causes huge economic loss to the farmers (Paul, 2010; Lopez-Gatius, 2013).</p> |
| title | Factors Influencing Pregnancy Rates in Cattle Following Artificial Insemination in Rural Settings: A Case Study from Southwestern Bangladesh |
| topic | Psychiatry Mental Health Medical Research Open Access |
| url | https://doi.org/10.5281/zenodo.19097033 |