Study on Factors Affecting Estrus Synchronization in Smallholder Dairy Farming Systems of Tigray, Northern Ethiopia.

Autor: Kibre D; College of Veterinary Science, Mekelle University, Mekelle, Ethiopia., Ashebir G; College of Veterinary Science, Mekelle University, Mekelle, Ethiopia., Gebrekidan B; College of Veterinary Science, Mekelle University, Mekelle, Ethiopia., Fesseha H; School of Veterinary Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Jazyk: angličtina
Zdroj: Veterinary medicine international [Vet Med Int] 2022 Apr 27; Vol. 2022, pp. 2435696. Date of Electronic Publication: 2022 Apr 27 (Print Publication: 2022).
DOI: 10.1155/2022/2435696
Abstrakt: Background: Reproductive biotechnology, such as estrus synchronization, can quickly boost the genetics of local cattle breeds, shorten generational cycles, and spread genetic material within populations of breeding animals.
Methods: A cross-sectional study was performed on 154 purposively selected smallholder dairy owners using a semistructured questionnaire to assess factors that influence the success of estrus synchronization in smallholder dairy farms located in Agula, Wukro, and Enderta districts, Northern Ethiopia.
Results: The estrus synchronization programme was positively accepted by 39.6% of illiterate participants. However, the education level and marital status of the participants had no significant association ( p > 0.05) between the different study sites. On the other hand, approximately 10% of interviewees did not have awareness of dairy cattle estrus synchronization technology at the time of implementation, whereas 36 (23.4%) farmers who were aware of estrus synchronization gave negative feedback on the technology. Factors such as breed, management system, feed type, feeding, and watering frequency significantly varied ( p < 0.05) among the three study sites, whereas the breeding practice had no significant association ( p > 0.05) within these districts. The cause of failure during AI, awareness about synchronization, satisfaction with the AI, and estrus synchronization service have a significant variation ( p < 0.05) within the three districts. On the other hand, the cause of AI failure, awareness about AI programs, source of synchronization information, and AI programs had no significant association ( p > 0.05) with study sites. Anestrous (30.5%) and repeat breeders (38.9%) were among the causes of the low conception rate during the synchronization program. There were no significant variations in terms of AI program constraints in the three districts.
Conclusion: AI technicians and farm owners need continuous training to improve their heat detection skills, increase their knowledge, and obtain a successful program.
Competing Interests: All authors have no conflicts of interest.
(Copyright © 2022 Dagmawit Kibre et al.)
Databáze: MEDLINE
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