The crossbreeding program at Mruazi Heifer Breeding Unit in Korogwe, Tanga region, was launched in 2010, initially using conventional semen. In 2019, sexed semen was introduced into the program. Since then, no comprehensive evaluation has been conducted to compare the efficiency of sexed semen with conventional semen under the farm’s operating conditions. This study analyzed retrospective data from 735 heifers. Information collected from reproductive record books and heifer cards included heifer ID, age at first service (AFS), breed, first insemination details, season of insemination, semen type, first service conception (FSC), number of services per conception (NSC), and inseminator’s identity. The General Linear Model (GLM) assessed the impact of categorical factors on NSC, while a binary logistic regression identified factors influencing FSC among crossbred dairy heifers. A Chi-square test evaluated the relationship between categorical variables and the binary FSC outcome. Results showed that breed group 2 had 1.10 ± 0.11 NSC lower than other breeds, wet season showed 1.25 ± 0.03 NSC compared to 1.32 ± 0.04 NSC in the dry season, sexed semen had 1.39 ± 0.04 NSC higher than that of conventional semen, inseminator 3 had 1.25 ± 0.08 NSC lower than inseminator 4, and cattle under 18 months had 1.20 ± 0.07 NSC lower compared to 1.41 ± 0.05 in 25 – 36 months age group (P < 0.05). Logistic regression revealed semen type as the only significant factor affecting FSC (p = 0.0011), with heifers inseminated using sexed semen showing 63% lower odds of FSC (OR = 0.37; 95% CI: 0.20–0.67). Additionally, Chi-square analysis indicated a significant association between breed and FSC (χ² = 23.83, p = 0.0002), as well as between semen type and FSC, with sexed semen linked to a considerably lower FSC rate. The study concluded that under the prevailing environment, conventional semen is more effective than sexed semen.
Published in | International Journal of Animal Science and Technology (Volume 9, Issue 3) |
DOI | 10.11648/j.ijast.20250903.15 |
Page(s) | 167-175 |
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), 2025. Published by Science Publishing Group |
Sexed Semen, Conventional Semen, Conception Rate, Number of Services per Conception
Breed | Number |
---|---|
1 | 640 |
2 | 34 |
3 | 44 |
4 | 17 |
Total | 735 |
Factor | Group | NSC (Mean ± SE) |
---|---|---|
Breed | 1 | 1.36 ± 0.05a |
2 | 1.10 ± 0.11b | |
3 | 1.37 ± 0.09a | |
4 | 1.47 ± 0.14a | |
Insemination season | Dry | 1.32 ± 0.04a |
Wet | 1.25 ± 0.03b | |
Semen type | Conventional | 1.20 ± 0.03a |
Sexed | 1.39 ± 0.04b | |
Inseminator | Inseminator 1 | 1.27 ± 0.05ab |
Inseminator 2 | 1.35 ± 0.19 ab | |
Inseminator 3 | 1.25 ± 0.08b | |
Inseminator 4 | 1.50 ± 0.07a | |
Inseminator 5 | 1.31 ± 0.05ab | |
Inseminator 6 | 1.29 ± 0.05ab | |
Inseminator 7 | 1.38 ± 0.06a | |
Age at first service | 1 | 1.20 ± 0.07b |
2 | 1.29 ± 0.05ab | |
3 | 1.41 ± 0.05a | |
4 | 1.33 ± 0.04ab |
Predictors | Variable | β Coefficient, (95% CI) | p-value |
---|---|---|---|
Breed | Breed 1 | 1.08 (0.34, 3.44) | 0.898 |
Breed 2 | 0.17 (0.02, 1.71) | 0.132 | |
Breed 3 | 0.84 (0.23, 3.01) | 0.787 | |
Breed 4 | 2.54 (0.57, 11.23) | 0.220 | |
Insemination Season | Dry | 0.90 (0.63, 1.30) | 0.574 |
Wet (Ref) | |||
Semen Type | Sexed | 0.37 (0.20, 0.67) | 0.001* |
conventional (Ref) |
Breed | Semen Type | N | FSCR (%) | Chi-Square Value | P-Value |
---|---|---|---|---|---|
1 | Conventional | 592 | 70.71 | 1.5208 | 0.2175 |
Sexed | 43 | 4.57 | |||
2 | Conventional | 28 | 84.38 | 0.1475 | 0.7010 |
Sexed | 4 | 12.50 | |||
3 | Conventional | 35 | 65.12 | 1.1173 | 0.2905 |
Sexed | 8 | 11.63 | |||
4 | Conventional | 13 | 58.82 | 7.4725 | 0.0063 ★ |
Sexed | 4 | 0.00 |
AFS | Age at First Service |
FSC | First Service Conception |
FSCR | First Service Conception Rate |
NSC | Number of Services per Conception |
FAO | Food and Agriculture Organization of the United Nations |
URT | United Republic of Tanzania |
CR | Conception Rate |
HBU | Heifer Breeding Unit |
AI | Artificial Insemination |
FS | Holstein Friesian x Sahiwal |
FZ | Holstein Friesian x Zebu |
FG | Holstein Friesian x Gyr |
[1] | URT. (2024). Speech by the Minister for Livestock and Fisheries, Honourable Mashimba Mashauri Ndaki (MP), Presenting to Parliament the Budget Estimates for Revenue and Expenditure of the Ministry of Livestock and Fisheries for the Year 2021/2022. pp 238. |
[2] | Mruttu, H., Ndomba, C., Nandonde, S., & Brook, K. N. (2016). Animal genetics strategy and vision for Tanzania. International Livestock Research Institute. |
[3] | Parkinson, T. J., & Morrell, J. M. (n. d.). Artificial Insemination. In Veterinary Reproduction and Obstetrics (Tenth Edit). Elsevier Ltd. |
[4] | Dayyani, N., Karkudi, K., & Bakhtiari, H. (2013). Reproductive performance definition in dairy cattle: affective factors. International Journal of Advanced Biological and Biomedical Research, 1(11), 1392–1396. |
[5] | Victor E. Cabrera, (2013). Economic evaluation of reproductive performance. 1–10. University of Wisconsin Madison. |
[6] | Seegers, H. (2006). Economics of The Reproductive Performance of Dairy Herds. World Buiatrics Congress - Nice, France, July, 11. |
[7] | Beleko, A. H., & Urassa, J. K. (2022). Socio-economic determinants of smallholder farmers sisal productivity and profitability: a case of Korogwe District, Tanzania. Tanzania Journal of Agricultural Sciences, 21(1), 113-125. |
[8] | Rukiko, P. S. (2019). Manure management and utilization practices for enhancing smallholder dairy farming productivity in Lushoto and Korogwe districts, Tanzania. Journal of Biodiversity and Environmental Sciences (JBES) 12(4) 84-95. |
[9] | NDF. (2014). Coastal Profile for Tanzania Mainland 2014 District Volume II Including Threats Prioritisation. II. (Draft Manual on Pastoralism in Wetlands by Nordic Development Fund). |
[10] | Gojam, Y., Tadesse, M., Efffa, K., & Hunde, D. (2017). Performance of Crossbred Dairy Cows Suitable for Smallholder Production. Systems at Holetta Agricultural Research Centre. Ethiopian Journal of Agricutural Science 27(1), 121–131. |
[11] | Wathes, D. C., Brickell, J. S., Bourne, N. E., Swali, A., & Cheng, Z. (2008). Factors influencing heifer survival and fertility on commercial dairy farms. The International Journal of Animal Biosciences, 2(8), 1135–1143. |
[12] |
Belay, D. (2012). Productive and reproductive performance of Zebu X Holstein-Friesian crossbred dairy cows in Jimma town, Oromia, Ethiopia. Global Veterinaria 8(1): 67-72.
https://www.researchgate.net/journal/Global-Veterinaria-1992-6197 |
[13] | Beshada T., & Asaminew, T. (2023). Reproductive and productive performance of Zebu × Holstein-Friesian crossbred dairy cows in and around Sendafa town, Oromia Region, Ethiopia. J. Sci. & Technol, 16(2), 167–179. |
[14] | Ibrahim, N., Abraha, A., & Mulugeta, S. (2011). Assessment of reproductive performances of crossbred dairy cattle (Holstein Friesian X Zebu) in gondar town. In Global Veterinaria 6(6) 561–566). |
[15] | Tadesse, M., & Tadesse, Y. (2019). Dairy cattle Reproductive performance. Livestock Research for Rural Development 31(9) 2019. |
[16] | Bayou, E., Haile, A., Gizaw, S., & Mekasha, Y. (2015). Evaluation of non ‑ genetic factors affecting calf growth, reproductive performance and milk yield of traditionally managed Sheko cattle in southwest Ethiopia. SpringerPlus. |
[17] | Martínez, J. F., Galina, C. S., Ortiz, P., Maquivar, M. G., & Romero-Zúñiga, J. J. (2021). Effects of season on donor and recipient cows and calf performance from birth to weaning in embryo transfer programs in the tropics. Animals, 11(12), 3596. |
[18] | Mahende, C., Ngasala, B., Lusingu, J., Butichi, A., Lushino, P., Lemnge, M., & Premji, Z. (2014). Aetiology of acute febrile episodes in children attending Korogwe District Hospital in north-eastern Tanzania. PLoS ONE, 9(8). |
[19] | Souames, S., & Berrama, Z. (2020). Factors affecting conception rate after the first artificial insemination in a private dairy cattle farm in North Algeria.. Journal of Veterinary world 13(12) 2608–2611 |
[20] | Nguyen-Kien, C., Van Khanh, N., & Hanzen, C. (2017). Study on reproductive performance of Holstein x Lai Sind crossbred dairy heifers and cows at smallholdings in Ho Chi Minh City, Vietnam. Tropical Animal Health and Production, 49(3), 483–489. |
[21] | Mwaipopo, L. C., & Mbaga, S. H. (2022). Efficiency of Artificial Insemination (AI) Technology in Different dairy Herd Management Systems in the Southern Highland Zone (SHZ) of Tanzania. European Journal of Agriculture and Food Sciences, 4(2), 11–18. |
[22] | Mwangi, S. I., Waineina, R. W., & Ilatsia, E. D. (2023). Evaluation of Factors affecting Number of Services Per Conception for Sahiwal x Friesian Crossbred Cattle in Kenya. Tanzania Journal of Agricultural Sciences 22(2), 370–375. |
[23] | Joezy-Shekalgorabi, S., Maghsoudi, A., & Mansourian, M. R. (2017). Reproductive performance of sexed versus conventional semen in Holstein heifers in various semiarid regions of Iran. Italian Journal of Animal Science, 16(4), 666–672. |
[24] |
Otava, G. (2010). Comparative study of conception rate on heifers artificially inseminated with sexed and conventional semen. lucrări ştiinłifice medicină veterinară 43(2), 46–51.
https://www.cabidigitallibrary.org/doi/pdf/10.5555/20103231344 |
[25] | Sharma, N., Chand, D. K., Rawat, S., & Sharma, M. (2018). Effect of sexed semen on conception rate and sex ratio under field conditions Effect of sexed semen on conception rate and sex ratio under field conditions. Journal of Entomology and Zoology Studies 2018; 6(1): 702-705 |
[26] | Healy, A. A., House, J. K., & Thomson, P. C. (2013). Artificial insemination field data on the use of sexed and conventional semen in nulliparous Holstein heifers. Journal of Dairy Science, 96(3), 1905–1914. |
[27] | Reham S. Waheeb, Hesham M. Harb and Gamal A. El-Amrawi (2020). Research Article GnRH at Time of Insemination of Sexed Semen Enhanced Conception Rate in Holstein Heifers. Asian Journal of Animal and Veterinary Advances, 15(2), 60–66. |
[28] | Sisay, D., Tamene, G., Worku, D., & Kidanu, B. G. (2017). Evaluation of Artificial Insemination Efficiency in and Around Ejere District. Journal of Reproduction and Infertility 8(3): 66-71, 2017 |
[29] | Garcia, M., Huanca, W., & Echevarria, L. (2015). Reproductive performance of purebred and crossbred Zebu cattle under artificial insemination in the Amazon tropics. Journal of Animal Production 50(1) 41–49. |
[30] | Cooke, J. S., Cheng, Z., Bourne, N. E., & Wathes, D. C. (2013). Association between growth rates age at first calving and subsequent fertility, milk production and survival in Holstein-Friesian heifers. Open Journal of Animal Sciences 3(1), 1–12. |
[31] | Bormann, J. M., Totir, L. R., Kachman, S. D., Fernando, R. L., & Wilson, D. E. (2006). Pregnancy rate and first-service conception rate in Angus heifers. Journal of Animal Science, 84(8), 2022–2025. |
[32] | Mmr, H., Mm, R., Mg, H., & Ma, H. (2019). Factors Affecting Conception Rate of Dairy Cows Following Artificial Insemination in Selected Area at Sirajgonj District of Bangladesh. 5(4), 9907–9914. |
[33] | Ukita, H., Yamazaki, T., Yamaguchi, S., Abe, H., Baba, T., Bai, H., Takahashi, M., & Kawahara, M. (2022). Environmental factors affecting the conception rates of nulliparous and primiparous dairy cattle. Journal of Dairy Science, 105(8), 6947–6955. |
[34] | Zargaran, E., M. Amin Afshar, S. Joezy‐Shekalgorab, J. Azizi & M. Chamani (2021). Reproductive Performance of Holstein Heifers Inseminated with Sex Sorted Semen in Various Herd Sizes. Iranian Jurnal of Applied Animal Science 11(2009), 249–259. |
[35] | Dawod, A.& Elbaz, (2020). Effect of sexed semen, puberty and breeding ages on fertility of Holstein dairy heifers treated with double Ovsynch protocol. Trop Animal Health Production Nov; 52(6): 2925-2930. |
[36] | Bhagat, Ismail, S. M. A., SA, J., SH, S., & JR, K. (2024). Factors associated with the performance of sex-sorted semen in cattle from Southern states of India. Acta Scientific Veterinary Sciences, 6(2), 93–99. |
[37] | Potdar, V. V, Gaundare, Y., Awasthi, H. R., & Khadse, J. R. (2016). Factors Influencing Conception Rate of Local and Crossbred Cows. Journal of Agriculture and Veterinary Science 9(10), 51–54. |
[38] | Rakibul, M., Khan, K., Uddin, J., & Gofur, R. (2015). Effect of age, parity and breed on conception rate and number of service per conception in artificially inseminated cows. Bangladesh livestock journal. 2015. 1: 1-4 |
[39] | DeGraaf, S. P., Leahy, T., & Vishwanath, R. (2014). Biological and practical lessons associated with the use of sexed semen. Rumin. Reprod. Symp, Johnson 1991, 125–140. |
[40] | Khan, I., Qureshi, M. S., Akhtar, S., Ali, I., & Ullah, G. (2018). Crossbred cows respond differently from holstein frisian and bos indicusto heat stress under various climatic conditions. Sarhad Journal of Agriculture, 34(2), 301–310. |
[41] | Mcmanus, C. M., Louvandini, H., Paim, T. P., Silva, F. C. P. E., & Bernal, F. E. M. (2014). Factors affecting heat tolerance in crossbred cattle in central Brazil. Ciencia Animal Brasileira, 15(2), 152–158. |
[42] | Norman, H. D., Hutchison, J. L., & Miller, R. H. (2010). Use of sexed semen and its effect on conception rate, calf sex, dystocia, and stillbirth of Holsteins in the United States. Journal of Dairy Science, 93(8), 3880–3890. |
[43] | Habimana, V.; Nguluma, A. S.; Nziku, Z. C.; Ekine-Dzivenu, C. C.; Morota, G.; Mrode, R.; Chenyambuga, S. W. Heat Stress Effects on Physiological and Milk Yield Traits of Lactating Holstein Friesian Crossbreds Reared in Tanga Region, Tanzania. Animals 2024, 14, 1914.4. |
[44] | Wathes, D. C., Pollott, G. E., Johnson, K. F., Richardson, H., & Cooke, J. S. (2014). Heifer fertility and carry over consequences for life time production in dairy and beef cattle. Animal, 8(SUPPL. 1), 91–104. |
APA Style
Mmeku, W. P., Nguluma, A. S., Mbaga, S. H. (2025). Evaluation of Reproductive Performance Using Sexed and Conventional Semen at Mruazi Heifer Breeding Unit, Tanga Tanzania. International Journal of Animal Science and Technology, 9(3), 167-175. https://doi.org/10.11648/j.ijast.20250903.15
ACS Style
Mmeku, W. P.; Nguluma, A. S.; Mbaga, S. H. Evaluation of Reproductive Performance Using Sexed and Conventional Semen at Mruazi Heifer Breeding Unit, Tanga Tanzania. Int. J. Anim. Sci. Technol. 2025, 9(3), 167-175. doi: 10.11648/j.ijast.20250903.15
@article{10.11648/j.ijast.20250903.15, author = {Wilirk Paul Mmeku and Athumani Shabani Nguluma and Said Hemed Mbaga}, title = {Evaluation of Reproductive Performance Using Sexed and Conventional Semen at Mruazi Heifer Breeding Unit, Tanga Tanzania }, journal = {International Journal of Animal Science and Technology}, volume = {9}, number = {3}, pages = {167-175}, doi = {10.11648/j.ijast.20250903.15}, url = {https://doi.org/10.11648/j.ijast.20250903.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijast.20250903.15}, abstract = {The crossbreeding program at Mruazi Heifer Breeding Unit in Korogwe, Tanga region, was launched in 2010, initially using conventional semen. In 2019, sexed semen was introduced into the program. Since then, no comprehensive evaluation has been conducted to compare the efficiency of sexed semen with conventional semen under the farm’s operating conditions. This study analyzed retrospective data from 735 heifers. Information collected from reproductive record books and heifer cards included heifer ID, age at first service (AFS), breed, first insemination details, season of insemination, semen type, first service conception (FSC), number of services per conception (NSC), and inseminator’s identity. The General Linear Model (GLM) assessed the impact of categorical factors on NSC, while a binary logistic regression identified factors influencing FSC among crossbred dairy heifers. A Chi-square test evaluated the relationship between categorical variables and the binary FSC outcome. Results showed that breed group 2 had 1.10 ± 0.11 NSC lower than other breeds, wet season showed 1.25 ± 0.03 NSC compared to 1.32 ± 0.04 NSC in the dry season, sexed semen had 1.39 ± 0.04 NSC higher than that of conventional semen, inseminator 3 had 1.25 ± 0.08 NSC lower than inseminator 4, and cattle under 18 months had 1.20 ± 0.07 NSC lower compared to 1.41 ± 0.05 in 25 – 36 months age group (P < 0.05). Logistic regression revealed semen type as the only significant factor affecting FSC (p = 0.0011), with heifers inseminated using sexed semen showing 63% lower odds of FSC (OR = 0.37; 95% CI: 0.20–0.67). Additionally, Chi-square analysis indicated a significant association between breed and FSC (χ² = 23.83, p = 0.0002), as well as between semen type and FSC, with sexed semen linked to a considerably lower FSC rate. The study concluded that under the prevailing environment, conventional semen is more effective than sexed semen. }, year = {2025} }
TY - JOUR T1 - Evaluation of Reproductive Performance Using Sexed and Conventional Semen at Mruazi Heifer Breeding Unit, Tanga Tanzania AU - Wilirk Paul Mmeku AU - Athumani Shabani Nguluma AU - Said Hemed Mbaga Y1 - 2025/09/02 PY - 2025 N1 - https://doi.org/10.11648/j.ijast.20250903.15 DO - 10.11648/j.ijast.20250903.15 T2 - International Journal of Animal Science and Technology JF - International Journal of Animal Science and Technology JO - International Journal of Animal Science and Technology SP - 167 EP - 175 PB - Science Publishing Group SN - 2640-1312 UR - https://doi.org/10.11648/j.ijast.20250903.15 AB - The crossbreeding program at Mruazi Heifer Breeding Unit in Korogwe, Tanga region, was launched in 2010, initially using conventional semen. In 2019, sexed semen was introduced into the program. Since then, no comprehensive evaluation has been conducted to compare the efficiency of sexed semen with conventional semen under the farm’s operating conditions. This study analyzed retrospective data from 735 heifers. Information collected from reproductive record books and heifer cards included heifer ID, age at first service (AFS), breed, first insemination details, season of insemination, semen type, first service conception (FSC), number of services per conception (NSC), and inseminator’s identity. The General Linear Model (GLM) assessed the impact of categorical factors on NSC, while a binary logistic regression identified factors influencing FSC among crossbred dairy heifers. A Chi-square test evaluated the relationship between categorical variables and the binary FSC outcome. Results showed that breed group 2 had 1.10 ± 0.11 NSC lower than other breeds, wet season showed 1.25 ± 0.03 NSC compared to 1.32 ± 0.04 NSC in the dry season, sexed semen had 1.39 ± 0.04 NSC higher than that of conventional semen, inseminator 3 had 1.25 ± 0.08 NSC lower than inseminator 4, and cattle under 18 months had 1.20 ± 0.07 NSC lower compared to 1.41 ± 0.05 in 25 – 36 months age group (P < 0.05). Logistic regression revealed semen type as the only significant factor affecting FSC (p = 0.0011), with heifers inseminated using sexed semen showing 63% lower odds of FSC (OR = 0.37; 95% CI: 0.20–0.67). Additionally, Chi-square analysis indicated a significant association between breed and FSC (χ² = 23.83, p = 0.0002), as well as between semen type and FSC, with sexed semen linked to a considerably lower FSC rate. The study concluded that under the prevailing environment, conventional semen is more effective than sexed semen. VL - 9 IS - 3 ER -