1. Introduction
Dairy cattle production is a rapidly growing component of Ethiopia’s livestock sector, driven by rising urban demand for milk, expanding commercial dairies, and ongoing genetic improvement initiatives. Ethiopia hosts one of the largest cattle populations in Africa, with an estimated 13–15 million cows kept under smallholder mixed crop-livestock systems, peri-urban farms, and emerging commercial operations
| [4] | Ayalew, W., Tegegne, A. and Gebremedhin, G. (2021). Dairy production and productivity trends in Ethiopia. ILRI Working Paper, 83, 1–32. |
| [8] | CSA (Central Statistical Agency). (2022). Agricultural Sample Survey. Vol II: Livestock and Livestock Characteristics. Addis Ababa, Ethiopia. |
| [28] | Shiferaw, Y. (2023). Dairy sector performance in Ethiopia. Livestock Research for Rural Development, 35(4), 1–12. |
[4, 8, 28]
. Most smallholder dairy production relies on indigenous zebu cattle, which are characterized by low milk yields, long postpartum anestrus and poor reproductive efficiency. Crossbreeding with Bos taurus dairy breeds, supported through artificial insemination (AI) programs, is increasingly promoted to improve milk productivity
| [9] | Debelo, A., Abera, M. and Tesfa, A. (2020). Genetic improvement through AI in Ethiopian dairy cattle. Ethiopian Journal of Animal Production, 20(1), 12–27. |
[9]
. However, reproductive inefficiencies remain a major bottleneck in dairy development, underscoring the importance of reproductive technologies such as hormonal estrus synchronization.
Hormonal estrus synchronization is used to induce or synchronize estrus in a group of cows, allowing timed breeding and facilitating efficient use of AI services and superior genetics. Synchronization enables fixed-time AI (FTAI), which reduces reliance on traditional heat detection that is often inaccurate or labor-intensive in Ethiopia’s smallholder systems
| [6] | Bitew, A. and Prasad, S. (2021). Effectiveness of CIDR protocols in anestrous crossbred cows under Ethiopian conditions. Reproduction in Domestic Animals, 56(8), 1023–1032. |
| [20] | Mekuriaw, Z., Ferede, Y. & Alemu, B. (2019). Response of dairy cows to CIDR-based protocols. Reproductive Biology, 19(4), 415–423. |
[6, 20]
. It also shortens calving intervals, improves reproductive management and enhances precision breeding in commercial dairies. Programs such as Ovsynch, Cosynch, PGF2α injections, progesterone devices like Controlled Internal Drug Release and estrogen-based regimens have been evaluated in Ethiopia with varying levels of success depending on management, breed type, nutritional status and technician skill
| [22] | Mulugeta, W. and Wubishet, A. (2018). Constraints to AI and synchronization programs in Ethiopia. Ethiopian Journal of Animal Science, 28(2), 45–58. |
| [30] | Tadesse, D., Worku, T. and Abebe, H. (2020). Performance of synchronization in crossbred cows in Oromia. Ethiopian Veterinary Journal, 24(2), 134–145. |
[22, 30]
. Despite these advantages, synchronization uptake remains modest, especially among rural smallholders, due to poor extension capacity, inconsistent hormone supply, and limited technical competence in AI service provision.
The national government and development partners have implemented several reproductive intervention programs aimed at improving dairy productivity through synchronization. Notable examples include the national estrus synchronization and mass insemination campaign (ES-MAI), the Ethiopian Livestock Master Plan (2015–2020), the second Growth and Transformation Plan (GTP II) and various NGO-supported projects including those by ILRI, SNV, Land O’Lakes, and Heifer International
| [12] | FAO. (2020). Livestock Sector Development Support in Ethiopia. FAO, Rome. |
| [18] | ILRI (International Livestock Research Institute). (2021). Dairy Genetics and AI Interventions in Ethiopia. ILRI Brief. |
| [21] | MOA (Ministry of Agriculture). (2018). National Artificial Insemination Strategy. Addis Ababa. |
[12, 18, 21].
These programs have created unprecedented opportunities to expand AI services, improve the dairy genetic base and train technicians. However, inconsistent conception rates, inadequate monitoring mechanisms and seasonal fluctuations in feed supply impede the effectiveness of synchronization interventions.
Furthermore, estrus synchronization in dairy cattle is deeply influenced by Ethiopia’s diverse agro-ecological zones, which affect feed resources, heat stress exposure, disease prevalence and management intensity
| [17] | Gizaw, S., (2020). Dairy value chain transformation in Ethiopia. ILRI Research Report, 65. |
| [36] | Yitaye, A. (2022). Agro-ecology and dairy productivity in Ethiopia. ILRI Publication, 102. |
[17, 36]
. In many smallholder systems, poor nutrition, postpartum reproductive disorders and low body condition scores significantly reduce synchronization success
| [19] | Melaku, T. and Fikre, D. (2021). Effects of body condition on estrus synchronization success. Tropical Animal Health and Production, 53, 125–133. |
[19]
. Commercial dairies, although better resourced, still face challenges related to skilled AI technicians, timely hormone administration and record-keeping and reproductive disorder diagnosis.
Given the growing importance of reproductive efficiency in meeting Ethiopia’s dairy development goals, a comprehensive review of hormonal estrus synchronization protocols, opportunities and constraints is essential. Existing studies are fragmented, region-specific, or limited to small sample sizes, making it difficult to draw national-level conclusions. This review therefore aims to synthesize scientific evidence on major protocols, their performance, adoption levels, constraints and opportunities for scaling. It underscores the need for integrated reproductive management, efficient extension services, and supportive policy frameworks to fully harness synchronization technology for dairy development.
Objective
1) To examine hormonal estrus synchronization protocols in dairy cattle in Ethiopia and assess their effectiveness.
2) To evaluate the adoption of different methods, including GnRH, prostaglandin and CIDR (Controlled Internal Drug Release) based protocols.
3) To identify socio-economic and management factors affecting successful implementation.
2. Literature Review
2.1. Physiology of the Bovine Estrous Cycle and Its Relevance to Hormonal Synchronization
The bovine estrous cycle is a complex, hormonally coordinated process that averages 21 days and encompasses four stages: proestrus, estrus, metestrus, and diestrus. These stages are regulated by the hypothalamic pituitary ovarian (HPO) axis, which orchestrates interactions among gonadotropin releasing hormone (GnRH), follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2) and progesterone (P4). Understanding this physiology is essential for the development and successful application of estrus synchronization protocols. GnRH secreted in pulses from the hypothalamus stimulates the anterior pituitary to release FSH and LH, driving follicular growth and ovulation. Estradiol produced by the dominant follicle triggers behavioral estrus and positive feedback to induce the pre-ovulatory LH surge
| [11] | Evans, A. C., Morris, D. and McAllister, A. (2018). Endocrine physiology of the estrous cycle. Theriogenology, 114, 15–23. |
| [15] | Fortune, J. E.,. (2020). Regulation of follicle development in cattle. Reproduction, 159(1), R1–R15. |
| [16] | Ginther, O. J. (2016). Physiology of Reproduction in Cattle. 3rd ed. Wiley-Blackwell. |
[11, 15, 16]
. Estrus synchronization protocols rely on manipulating these hormonal events to control follicle wave emergence, regression of the corpus luteum (CL), and timing of ovulation.
Follicular development occurs in waves, typically two or three per cycle, with each wave consisting of recruitment, selection, dominance and atresia or ovulation. The dominant follicle suppresses subordinate follicles through estradiol and inhibin, ensuring single ovulation in Bos taurus and most Bos indicus cattle
| [38] | Aldridge, M. N. and Lane, E. (2021). Synchronization in Bos indicus cattle: physiological adaptations. Theriogenology, 172, 65–73. |
[38]
. For synchronization to be effective, protocols must control follicular waves so that cows ovulate at a predictable time. Progesterone plays a central role because high circulating progesterone concentrations inhibit LH pulse frequency, preventing premature ovulation and allowing controlled follicular turnover. Manipulating P4 through exogenous sources such as CIDR devices or intravaginal sponges allows synchronization of follicular waves and ensures that cows enter estrus simultaneously when progesterone is withdrawn
| [25] | Patterson, D. J., et al. (2016). Progesterone control in synchronization. Journal of Animal Science, 94(5), 1650–1662. |
| [27] | Sartori, R. and Baruselli, P. (2022). Physiology and protocols of FTAI in cattle. Animal Reproduction, 19(2), e20220035. |
| [37] | Wiltbank, M. C. (2018). Hormonal regulation in synchronization programs. Journal of Dairy Science, 101(5), 4400–4416. |
[25, 27, 37]
.
Regression of the corpus luteum is another foundational element of estrus synchronization. Prostaglandin F2α (PGF2α) is the natural luteolysin secreted by the uterus during late diestrus, initiating CL regression and reducing progesterone levels. PGF2α-based synchronization protocols mimic this physiological process, inducing luteolysis in cows with functional CLs, thereby triggering follicular growth and estrus expression within 48–96 hours. However, PGF2α is ineffective in cows lacking a functional CL, making its application dependent on ovarian status during administration
| [24] | Odde, K. G. (2018). Timing of estrus and ovulation in cattle. Veterinary Clinics of North America, 34(3), 305–320. |
| [26] | Pursley, J. R., Mee, M. O. and Wiltbank, M. C. (1995). Synchronization of ovulation in dairy cattle using Ovsynch. Theriogenology, 44, 915–923. |
| [29] | Stevenson, J. S. (2019). Physiology of estrus synchronization. Animal Reproduction Science, 206, 12–25. |
[24, 26, 29]
. Understanding these physiological mechanisms is crucial for designing and adapting synchronization strategies suited to Ethiopian dairy systems, where animals often show nutritional and postpartum variability affecting ovarian cyclicity.
2.2. Major Hormonal Estrus Synchronization Protocols Used in Ethiopia
A wide array of hormonal protocols has been used in Ethiopian dairy cattle, ranging from simple PGF2α programs to advanced multi-hormonal fixed-time artificial insemination (FTAI) protocols. The most common protocols include PGF2α-based regimens, progesterone-based systems using controlled internal drug release (CIDR) devices, GnRH-based protocols such as Ovsynch and Cosynch, and combined protocols integrating progesterone, GnRH, and PGF2α.
2.2.1. PGF2α (Prostaglandin F₂α) Based Protocols
PGF2α and its synthetic analogues (Cloprostenol) are widely used due to affordability, availability, and simplicity. Single-injection PGF2α protocols induce luteolysis only in cows with a mature CL (≥5 days old), making estrus expression unreliable when ovarian status is unknown. To mitigate this, double PGF2α injections spaced 11–14 days apart are employed, ensuring that cows without a CL at first injection will generally be responsive at the second. Ethiopian studies report conception rates ranging from 28–50% with double-injection PGF2α programs, depending on breed type, nutrition, technician skill, and postpartum interval
| [2] | Abreha, A., Tegegne, A. & Mulugeta, W. (2018). Conception rate of synchronization protocols in smallholder dairy cows in Tigray. Tropical Animal Health and Production, 50(6), 1371–1378. |
| [13] | Fikre, D., Guadie, D. and Melesse, M. (2020). Estrus synchronization efficiencies in dairy cows in Gondar. Ethiopian Veterinary Journal, 24(1), 89–101. |
| [35] | Yizengaw, L., Getachew, T. and Ayalew, M. (2021). Evaluation of PGF2α protocols in Amhara region. Ethiopian Journal of Animal Production, 21(1), 59–70. |
[2, 13, 35]
. However, heat detection challenges in smallholder systems often reduce effectiveness despite acceptable ovarian response rates.
2.2.2. Progesterone-based Protocols (CIDR/Progesterone Sponges)
Progesterone-releasing intravaginal devices such as CIDR are used to mimic the luteal phase and suppress estrus until device removal. Ethiopian trials using CIDR for 7–10 days in combination with equine chorionic gonadotropin (eCG) and PGF2α have achieved response rates above 80% and conception rates of 35–55%
| [6] | Bitew, A. and Prasad, S. (2021). Effectiveness of CIDR protocols in anestrous crossbred cows under Ethiopian conditions. Reproduction in Domestic Animals, 56(8), 1023–1032. |
| [20] | Mekuriaw, Z., Ferede, Y. & Alemu, B. (2019). Response of dairy cows to CIDR-based protocols. Reproductive Biology, 19(4), 415–423. |
| [31] | Tesfaye, A. and Yadeta, A. (2022). Use of CIDR and eCG in improving synchronization outcomes. Veterinary World, 15(1), 88–96. |
[6, 20, 31]
. Progesterone-based methods are particularly advantageous for anestrous cows, which are common in Ethiopia because of poor nutrition and prolonged postpartum intervals. Despite their effectiveness, the high cost and limited rural availability of CIDR devices constrain widespread uptake.
2.2.3. Gonadotropin-releasing Hormone Based Protocols (Ovsynch, Cosynch, Pre-synch)
The Ovsynch protocol GnRH on day 0, PGF2α on day 7, second GnRH on day 9, and FTAI 16–24 hours later is among the most scientifically robust synchronization methods. Ovsynch controls both the luteal and follicular phases and allows AI without heat detection. Different research reports conception rates of 30–45% with Ovsynch, with improvements when pre-synchronization methods such as Presynch (two PGF2α injections before Ovsynch) are used
| [1] | Abayneh, T., Tadesse, D. and Gizaw, Y. (2016). Efficiency of Ovsynch protocol on dairy cattle in central Ethiopia. Ethiopian Veterinary Journal, 20(1), 45–58. |
| [10] | Dejene, S., Tulu, D. and Workneh, A. (2021). Evaluation of Ovsynch and Presynch-Ovsynch protocols in crossbred cows. Veterinary World, 14(7), 1753–1761. |
| [33] | Worku, T., Abayneh, T. and Mulu, G. (2020). Comparative evaluation of synchronization protocols in central Ethiopia. Reproductive Biology, 20(2), 183–192. |
[1, 10, 33]
. Cosynch variants (in which the second GnRH is administered at AI) reduce handling frequency and have shown comparable performance in Ethiopian crossbred dairy cows.
2.3. Performance of Synchronization Protocols Under Ethiopian Dairy Conditions
The performance of synchronization protocols in Ethiopia exhibits considerable variability due to differences in breed, management, nutritional status, and agro-ecological conditions. Crossbred dairy cows (Holstein × Zebu) generally exhibit higher synchronization responses and conception rates than indigenous zebu breeds, reflecting their more predictable ovarian physiology and stronger estrus expression
| [3] | Atsedeweyn, T., Alemu, B. and Mekonnen, H. (2022). Effects of nutrition and postpartum anestrus on synchronization outcomes in crossbred dairy cows. Journal of Dairy Science, 105(4), 3482–3494. |
| [14] | Fikru, S., Woldemariam, K. and Alemayehu, M. (2019). Reproductive performance of crossbred dairy cows in Ethiopia. Journal of Veterinary Science, 20(3), 399–407. |
| [30] | Tadesse, D., Worku, T. and Abebe, H. (2020). Performance of synchronization in crossbred cows in Oromia. Ethiopian Veterinary Journal, 24(2), 134–145. |
[3, 14, 30]
. However, Bos indicus cattle display slower follicular turnover, smaller dominant follicles, and weaker estrus signs, all of which can affect hormonal synchronization outcomes and timing of ovulation
| [5] | Baruselli, P. S., (2018). Follicular dynamics in Bos indicus cattle: implications for synchronization. Animal Reproduction, 15(3), 256–267. |
| [16] | Ginther, O. J. (2016). Physiology of Reproduction in Cattle. 3rd ed. Wiley-Blackwell. |
| [27] | Sartori, R. and Baruselli, P. (2022). Physiology and protocols of FTAI in cattle. Animal Reproduction, 19(2), e20220035. |
[5, 16, 27]
. This highlights the importance of protocol adaptation for zebu and zebu-cross dairy cows in Ethiopia.
Environmental and nutritional factors significantly influence protocol success. Ethiopia’s smallholder dairy cattle often exhibit low body condition scores (BCS), extended postpartum anestrus, and poor ovarian activity due to feed scarcity, especially during the dry season. Such conditions limit responsiveness to PGF2α and GnRH-based protocols because cows without a functional CL or with inactive ovaries cannot mount an appropriate hormonal response
| [2] | Abreha, A., Tegegne, A. & Mulugeta, W. (2018). Conception rate of synchronization protocols in smallholder dairy cows in Tigray. Tropical Animal Health and Production, 50(6), 1371–1378. |
| [19] | Melaku, T. and Fikre, D. (2021). Effects of body condition on estrus synchronization success. Tropical Animal Health and Production, 53, 125–133. |
| [23] | Mulugeta, W., Tadesse, D. and Abebayehu, S. (2018). Assessment of ovarian cyclicity in synchronized cows. African Journal of Agricultural Research, 13(23), 1178–1187. |
[2, 19, 23]
. In contrast, commercial dairy farms with improved feeding systems report higher estrus expression, ovulation rates, and conception outcomes, demonstrating the strong influence of management on synchronization effectiveness. Ethiopian research consistently emphasizes that nutritional supplementation before synchronization significantly improves follicular growth and conception rates.
The timing and skill of AI technicians play a crucial role in determining synchronization outcomes. Studies in Oromia, Amhara, and Tigray regions indicate that conception rates vary widely ranging from 20% to more than 50%—depending on the technician’s ability to properly administer hormones, diagnose reproductive status, and perform AI at the correct time relative to ovulation
| [6] | Bitew, A. and Prasad, S. (2021). Effectiveness of CIDR protocols in anestrous crossbred cows under Ethiopian conditions. Reproduction in Domestic Animals, 56(8), 1023–1032. |
| [32] | Woldegebriel, M. (2021). Factors affecting conception rates in dairy cows under Ethiopian conditions. Veterinary Medicine International, 2021, 1–10. |
| [34] | Yadeta, A. (2022). Nutritional constraints on reproduction in dairy cows. Tropical Animal Health and Production, 54, 285–296. |
[6, 32, 34]
. Poor heat detection accuracy further reduces success in protocols that require visual estrus identification, whereas FTAI-based systems such as Ovsynch reduce this dependency but demand strict adherence to timing. National campaigns have reported lower conception rates because of inconsistency in hormone administration, limited follow-up, and inadequate farmer preparation of animals before synchronization.
2.4. Factors Affecting Conception Rates in Estrus Synchronization Programs
Conception rates following hormonal estrus synchronization depend on a complex interaction of physiological, environmental, nutritional, managerial, and genetic factors. One of the most critical determinants is the ovarian cyclicity status at the initiation of synchronization. Cows in anestrus particularly postpartum anestrus common in Ethiopian dairy systems exhibit weak or absent responses to PGF2α because a functional corpus luteum is absent
| [7] | Boro, S., Mekonnen, H. and Nigussie, H. (2023). Postpartum ovarian inactivity in Ethiopian dairy cows. Veterinary Medicine and Science, 9(2), 301–312. |
| [19] | Melaku, T. and Fikre, D. (2021). Effects of body condition on estrus synchronization success. Tropical Animal Health and Production, 53, 125–133. |
| [23] | Mulugeta, W., Tadesse, D. and Abebayehu, S. (2018). Assessment of ovarian cyclicity in synchronized cows. African Journal of Agricultural Research, 13(23), 1178–1187. |
[7, 19, 23]
. In GnRH-based protocols like Ovsynch, cyclic cows respond optimally by forming ovulatory follicles, whereas non-cyclic cows often form suboptimal follicles or fail to ovulate following the first GnRH. The physiological differences between Bos taurus and Bos indicus breeds also influence conception success, as zebu cattle typically have slower follicular growth rates, smaller pre-ovulatory follicles, and lower circulating estradiol concentrations, all of which can reduce the synchrony between ovulation and insemination
| [5] | Baruselli, P. S., (2018). Follicular dynamics in Bos indicus cattle: implications for synchronization. Animal Reproduction, 15(3), 256–267. |
| [16] | Ginther, O. J. (2016). Physiology of Reproduction in Cattle. 3rd ed. Wiley-Blackwell. |
| [27] | Sartori, R. and Baruselli, P. (2022). Physiology and protocols of FTAI in cattle. Animal Reproduction, 19(2), e20220035. |
[5, 16, 27]
.
Nutritional status plays an equally important role in determining synchronization outcomes. Body condition score (BCS) is strongly associated with follicular dynamics, ovarian cyclicity, and systemic concentrations of reproductive hormones. Cows with low BCS often experience suppressed GnRH and LH secretion, leading to delayed dominant follicle emergence and impaired ovulation, which negatively affects the success of protocols relying on timed ovulation
| [30] | Tadesse, D., Worku, T. and Abebe, H. (2020). Performance of synchronization in crossbred cows in Oromia. Ethiopian Veterinary Journal, 24(2), 134–145. |
| [32] | Woldegebriel, M. (2021). Factors affecting conception rates in dairy cows under Ethiopian conditions. Veterinary Medicine International, 2021, 1–10. |
| [34] | Yadeta, A. (2022). Nutritional constraints on reproduction in dairy cows. Tropical Animal Health and Production, 54, 285–296. |
[30, 32, 34]
. In Ethiopian smallholder systems, seasonal feed scarcity often results in negative energy balance (NEB), reducing synchronization responses because cows are less able to support estrus expression and embryo survival. Supplementary feeding with energy and protein concentrates before synchronization enhances follicular growth, increases estradiol secretion, and improves uterine environment, leading to higher conception rates
| [3] | Atsedeweyn, T., Alemu, B. and Mekonnen, H. (2022). Effects of nutrition and postpartum anestrus on synchronization outcomes in crossbred dairy cows. Journal of Dairy Science, 105(4), 3482–3494. |
| [6] | Bitew, A. and Prasad, S. (2021). Effectiveness of CIDR protocols in anestrous crossbred cows under Ethiopian conditions. Reproduction in Domestic Animals, 56(8), 1023–1032. |
| [20] | Mekuriaw, Z., Ferede, Y. & Alemu, B. (2019). Response of dairy cows to CIDR-based protocols. Reproductive Biology, 19(4), 415–423. |
[3, 6, 20]
.
Management practices, including timing of artificial insemination, technician competency, and handling stress, significantly influence conception outcomes. In programs requiring heat detection, incorrect identification of estrus or delayed insemination greatly lowers fertility because AI timing must align with ovulation. This is a major issue in Ethiopia due to limited farmer knowledge, labor constraints, and low estrus expression in zebu-influenced cattle
| [1] | Abayneh, T., Tadesse, D. and Gizaw, Y. (2016). Efficiency of Ovsynch protocol on dairy cattle in central Ethiopia. Ethiopian Veterinary Journal, 20(1), 45–58. |
| [2] | Abreha, A., Tegegne, A. & Mulugeta, W. (2018). Conception rate of synchronization protocols in smallholder dairy cows in Tigray. Tropical Animal Health and Production, 50(6), 1371–1378. |
| [33] | Worku, T., Abayneh, T. and Mulu, G. (2020). Comparative evaluation of synchronization protocols in central Ethiopia. Reproductive Biology, 20(2), 183–192. |
[1, 2, 33]
. In FTAI protocols, the precision of hormone administration timing is critical; deviations of even 6–12 hours may reduce synchronization precision and conception rate. Stress caused by poor handling or transportation before or after synchronization increases cortisol secretion, which negatively affects LH surge and ovulation
| [15] | Fortune, J. E.,. (2020). Regulation of follicle development in cattle. Reproduction, 159(1), R1–R15. |
| [24] | Odde, K. G. (2018). Timing of estrus and ovulation in cattle. Veterinary Clinics of North America, 34(3), 305–320. |
| [29] | Stevenson, J. S. (2019). Physiology of estrus synchronization. Animal Reproduction Science, 206, 12–25. |
[15, 24, 29]
. The cumulative effect of these physiological and managerial factors explains much of the variation observed in conception rates across Ethiopian dairy herds.
2.5. Opportunities for Expansion of Estrus Synchronization in Ethiopia
Ethiopia possesses several structural, economic and policy-driven opportunities that support the wider adoption of hormonal estrus synchronization. The rapid growth of the dairy industry, driven by urbanization and demand for milk and milk products, has encouraged the expansion of crossbred dairy cattle in peri-urban and urban production clusters. Productivity gaps in smallholder systems create an urgent need for reproductive technologies that accelerate genetic improvement, shorten calving intervals, and increase milk yields
| [4] | Ayalew, W., Tegegne, A. and Gebremedhin, G. (2021). Dairy production and productivity trends in Ethiopia. ILRI Working Paper, 83, 1–32. |
| [17] | Gizaw, S., (2020). Dairy value chain transformation in Ethiopia. ILRI Research Report, 65. |
| [28] | Shiferaw, Y. (2023). Dairy sector performance in Ethiopia. Livestock Research for Rural Development, 35(4), 1–12. |
[4, 17, 28]
. Estrus synchronization offers a scalable pathway to meet these production demands by facilitating planned breeding seasons, coordinated AI, and improved reproductive efficiency. These opportunities align with national livestock transformation objectives and donor-supported modernization initiatives.
Institutionally, Ethiopia’s livestock sector benefits from ongoing government and NGO interventions that promote AI and reproductive technologies. Programs such as the Livestock Master Plan (LMP), the Growth and Transformation Plans (GTP I and II), the National Artificial Insemination Strategy, and development projects by ILRI, FAO, SNV, and USAID have established frameworks to expand synchronization-based breeding
| [12] | FAO. (2020). Livestock Sector Development Support in Ethiopia. FAO, Rome. |
| [18] | ILRI (International Livestock Research Institute). (2021). Dairy Genetics and AI Interventions in Ethiopia. ILRI Brief. |
[12, 18]
. These interventions have increased the availability of trained AI technicians, extension personnel, and veterinary paraprofessionals. They also promote capacity-building initiatives, mobile AI services, and community-based breeding strategies. Such institutional investments significantly enhance the potential for synchronization technology to scale in both rural and peri-urban dairy sectors
| [21] | MOA (Ministry of Agriculture). (2018). National Artificial Insemination Strategy. Addis Ababa. |
[21]
. Moreover, emerging private veterinary service providers and pharmaceutical distributors improve access to drugs, semen, and synchronization kits.
Technological advances further expand opportunities. New progesterone-releasing devices, low-cost PGF2α analogues, long-acting GnRH formulations, and robust FTAI protocols adapted for Bos indicus cattle have increased the reliability of synchronization programs. Studies in Ethiopia show improved conception rates when protocols are combined with nutritional supplementation or modified according to ovarian status
| [6] | Bitew, A. and Prasad, S. (2021). Effectiveness of CIDR protocols in anestrous crossbred cows under Ethiopian conditions. Reproduction in Domestic Animals, 56(8), 1023–1032. |
| [33] | Worku, T., Abayneh, T. and Mulu, G. (2020). Comparative evaluation of synchronization protocols in central Ethiopia. Reproductive Biology, 20(2), 183–192. |
[6, 33]
. Digital breeding records, mobile extension tools, and herd management software offer additional prospects for modernizing reproductive management. When integrated with cooperative dairy production systems and improved feed value chains, estrus synchronization can drive significant gains in milk productivity, household income, and commercialization of the dairy sector
| [20] | Mekuriaw, Z., Ferede, Y. & Alemu, B. (2019). Response of dairy cows to CIDR-based protocols. Reproductive Biology, 19(4), 415–423. |
[20]
.
2.6. Constraints and Challenges in the Use of Hormonal Estrus Synchronization
Despite its potential, estrus synchronization in Ethiopia faces substantial constraints. One of the most persistent challenges is the low level of awareness and understanding among smallholder dairy farmers regarding the principles of synchronization, the importance of heat detection, and proper animal preparation
| [22] | Mulugeta, W. and Wubishet, A. (2018). Constraints to AI and synchronization programs in Ethiopia. Ethiopian Journal of Animal Science, 28(2), 45–58. |
[22]
. Many farmers do not understand the need for timely insemination, appropriate nutrition, or postpartum recovery, leading to poor conception outcomes even when hormonal protocols are correctly administered
| [34] | Yadeta, A. (2022). Nutritional constraints on reproduction in dairy cows. Tropical Animal Health and Production, 54, 285–296. |
| [19] | Melaku, T. and Fikre, D. (2021). Effects of body condition on estrus synchronization success. Tropical Animal Health and Production, 53, 125–133. |
[34, 19]
. Misconceptions about the technology, fear of hormonal drugs, and inconsistent extension messaging further reduce uptake among rural households. Limited record-keeping also prevents evaluation of reproductive performance and hinders long-term planning.
Input supply challenges significantly constrain synchronization performance. Hormonal drugs including PGF2α, GnRH analogues, and CIDR devices are often expensive, counterfeit, poorly stored, or unavailable in rural markets. Irregular supply chains and inadequate cold storage compromise drug potency, leading to inconsistent results
| [1] | Abayneh, T., Tadesse, D. and Gizaw, Y. (2016). Efficiency of Ovsynch protocol on dairy cattle in central Ethiopia. Ethiopian Veterinary Journal, 20(1), 45–58. |
| [31] | Tesfaye, A. and Yadeta, A. (2022). Use of CIDR and eCG in improving synchronization outcomes. Veterinary World, 15(1), 88–96. |
[1, 31]
. Similarly, variable semen quality, shortages of liquid nitrogen, and inadequate AI delivery infrastructure reduce the effectiveness of breeding interventions
| [33] | Worku, T., Abayneh, T. and Mulu, G. (2020). Comparative evaluation of synchronization protocols in central Ethiopia. Reproductive Biology, 20(2), 183–192. |
[33]
. Transport challenges and the lack of service fee standardization further limit access, especially in pastoral and remote highland areas.
Managerial and environmental constraints are equally significant. Most smallholder dairy cows face nutritional stress, especially during dry seasons, resulting in poor ovarian activity, low BCS, and weak estrus expression. Diseases such as mastitis, metritis, retained placenta, brucellosis, and reproductive tract infections impair conception following synchronization
| [3] | Atsedeweyn, T., Alemu, B. and Mekonnen, H. (2022). Effects of nutrition and postpartum anestrus on synchronization outcomes in crossbred dairy cows. Journal of Dairy Science, 105(4), 3482–3494. |
| [30] | Tadesse, D., Worku, T. and Abebe, H. (2020). Performance of synchronization in crossbred cows in Oromia. Ethiopian Veterinary Journal, 24(2), 134–145. |
[3, 30]
. Additionally, heat stress in lowland areas suppresses reproductive hormone secretion, reduces oocyte quality, and negatively affects early embryo survival. The lack of skilled AI technicians, poor supervision of national synchronization campaigns, and absence of systematic monitoring and evaluation further limit success
| [32] | Woldegebriel, M. (2021). Factors affecting conception rates in dairy cows under Ethiopian conditions. Veterinary Medicine International, 2021, 1–10. |
[32]
. These constraints demonstrate that hormonal synchronization must be integrated with holistic improvements in nutrition, health, and reproductive management to achieve sustainable outcomes.
2.7. Comparative Evaluation of Major Synchronization Protocols in Ethiopia
Comparisons among synchronization protocols reveal that no single method is universally superior; rather, effectiveness depends on ovarian status, breed composition, management intensity, and cost considerations. PGF2α-based protocols remain popular due to their low cost and simplicity but are limited by their requirement for a functional CL and their dependence on accurate heat detection
| [39] | Haile, G., Tesfaye, D., Mekonnen, A., and Alemu, B. (2023). Comparative evaluation of estrus synchronization protocols under smallholder dairy production systems in Ethiopia. Ethiopian Veterinary Journal. |
[39]
. As a result, conception rates vary widely among Ethiopian smallholders. Progesterone-based protocols, such as CIDR, provide greater control over follicular dynamics and are effective in both cyclic and anestrous cows. They also minimize the need for heat detection. However, their higher cost and limited availability restrict widespread adoption.
GnRH-based protocols such as Ovsynch and Cosynch offer the advantage of FTAI without estrus detection, making them suitable for commercial dairies and smallholders with limited labor capacity. Ethiopian studies suggest that Ovsynch combined with presynchronization (Presynch-Ovsynch) improves conception by ensuring cows begin the protocol at an optimal stage of their cycle
| [10] | Dejene, S., Tulu, D. and Workneh, A. (2021). Evaluation of Ovsynch and Presynch-Ovsynch protocols in crossbred cows. Veterinary World, 14(7), 1753–1761. |
| [33] | Worku, T., Abayneh, T. and Mulu, G. (2020). Comparative evaluation of synchronization protocols in central Ethiopia. Reproductive Biology, 20(2), 183–192. |
[10, 33]
. Nonetheless, these protocols require high precision in timing and trained personnel, which can be challenging in large-scale national programs. In general, integrating synchronization protocols with improved nutrition, heat stress mitigation, postpartum management, and skilled AI service delivery yields the best reproductive outcomes
| [23] | Mulugeta, W., Tadesse, D. and Abebayehu, S. (2018). Assessment of ovarian cyclicity in synchronized cows. African Journal of Agricultural Research, 13(23), 1178–1187. |
[23]
.
3. Conclusion and Recommendations
3.1. Conclusion
Hormonal estrus synchronization remains a cornerstone reproductive technology with significant potential to improve Ethiopia’s dairy sector. Protocols such as PGF2α, CIDR-based systems, and GnRH-based programs like Ovsynch have proven effective under controlled conditions, enabling timed breeding, efficient use of artificial insemination, and accelerated genetic improvement. However, success in Ethiopia is often limited by variable ovarian cyclicity, breed differences, nutritional constraints, poor heat detection, and technician skill, which affect conception rates and overall herd productivity.
Despite these challenges, opportunities exist to scale and optimize synchronization through expanding urban and peri-urban dairy systems, improving nutrition and animal health, strengthening extension support, and enhancing AI services. Sustainable adoption requires addressing technical capacity, hormone and semen supply, farmer awareness, and monitoring systems, particularly in smallholder farms. With coordinated efforts from government, researchers, development organizations, and the private sector, estrus synchronization can significantly enhance reproductive efficiency, dairy productivity, farm profitability, and national food security in Ethiopia.
3.2. Recommendation
To improve the success of hormonal estrus synchronization in dairy cattle in Ethiopia, it is recommended to enhance farmer awareness and training on reproductive management and synchronization protocols. Strengthening veterinary service delivery and ensuring the availability of hormones and synchronization tools at affordable costs are essential. Farmers should adopt appropriate protocols based on herd management, breed type, and production system, while extension services and research institutions provide continuous technical support. Additionally, integrating reproductive management with overall herd nutrition and health programs can optimize conception rates, improve milk production, and promote sustainable dairy farming practices across different agro-ecological zones.