Artificial Insemination in Nyagatare District: Level of Adoption and the Factors determining its Adoption

Mushonga, Borden; Dusabe, Jean P.; Kandiwa, Erick; Bhebhe, E.; Habarugira, Gervais; Samkange, Alaster

doi:10.5455/ajvs.273226

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…Small-scale dairy production provides a means of livelihood for many farmers in Nyagatare District (Mazimpaka et al 2017; Mushonga et al 2017). The prevalence of brucellosis using the Rose Bengal Test (RBT) has been established (Chatikobo et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and risk factors for brucellosis seropositivity in cattle in Nyagatare District, Eastern Province, Rwanda

Ndazigaruye

Mushonga

Kandiwa

et al. 2018

J. S. Afr. Vet. Assoc.

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A survey involving 120 small-scale dairy farmers was carried out to assess risk factors associated with brucellosis in cattle from selected sectors of Nyagatare District, Rwanda. A sample of cattle from nine selected sectors of Nyagatare was tested for brucellosis using the Rose Bengal Test. Of the respondents, 57.5% were unaware of brucellosis as a disease, 85.8% did not screen new additions to the herd for brucellosis and 82.5% did not remove brucellosis seropositive animals from the herd. The prevalence of brucellosis in herds with cows with no history of abortion was 38.5% and 17.0% in those with a history of abortion. None of the respondents disinfected abortion sites or vaccinated against brucellosis. The prevalence of brucellosis in cows with a history of retained placenta was 36% and 2% in those with no history of retained placenta. Of the respondents, 62.5% reportedly fed foetal membranes to dogs. About 65.8% of the respondents with brucellosis-positive animals reported a calving interval longer than 1 year. Katabagemu (28.6%) had the highest prevalence of brucellosis seropositivity while Karama had none. Brucellosis in cows (21.4%) was significantly higher than that in heifers (12.8%) (p < 0.05), but there was no significant difference between heifers and bulls or between bulls and cows (p > 0.05). The occurrence of brucellosis in herds with 40–70 cattle (26.9%) was significantly greater than the 14.9% of herds with 10–39 cattle (p < 0.05). Seropositivity to brucellosis in cross-breed cattle (23.6%) was significantly greater than that in indigenous cattle (13.8%) (p < 0.05). There was no significant difference in the overall prevalence of brucellosis in cattle from different grazing systems (p > 0.05). Seropositivity to brucellosis was significantly different (p < 0.05) between the fourth parity (32.5%) and first parity (14.3%) cows. The findings in this study confirmed the existence of brucellosis as a problem in Nyagatare and the authors recommend that farmer education on the epidemiology, risk factors and mitigation of the disease be undertaken as a matter of urgency.

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Section: Introductionmentioning

confidence: 99%

Prevalence and risk factors for brucellosis seropositivity in cattle in Nyagatare District, Eastern Province, Rwanda

Ndazigaruye

Mushonga

Kandiwa

et al. 2018

J. S. Afr. Vet. Assoc.

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“…The bulls and cows are not pre-screened for diseases before use. This way, the bull mating practice presents a risk of transmitting reproductive diseases, endometritis included as corroborated by finding [36] in Nyagatare district, Rwanda, and the United Kingdom dairy herds [21].…”

Section: Discussionmentioning

confidence: 73%

Perception of farmers about endometritis prevention and control measures for zero-grazed dairy cows on smallholder farms in Rwanda

et al. 2020

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Background: Endometritis is a prevalent uterine disease in postpartum cows. The disease reduces fertility performance and milk yield, and subsequently, productivity and profitability of dairy farms. The reduction in performance is associated with considerable economic losses on dairy farms. Smallholder farmers are likely to incur considerable economic losses from the disease where they lack knowledge of effective prevention and control measures for the disease. This study used farmer's perspectives to determine the effectiveness of different management interventions (MIs) for endometritis prevention and control on smallholder farms in Rwanda practicing dairy zero-grazing. The best-worst scaling (BWS) choice method was applied that relied on past 1 year recall data obtained from 154 farmers. These farmers were identified through snowball sampling in a cross-sectional study. Results: Of the 20 MIs evaluated, 12 scored highly for effectiveness. The top four most effective are: avoiding sharing equipment with neighbouring farms (45.5%), consulting animal health service provider about disease treatment (31.8%), keeping cows in a clean and dry shed (26.7%), and selecting sires based on calving ease (26.6%). The MIs considered least effective were: maintaining clean transition cow housing (35.1%), removal of fetal membrane immediately after passing (33.1%), disinfecting the equipment used in calving assistance before and after use (32.5%), and selecting sires with low percent stillbirths (29.2%). Conclusion: This study has demonstrated the application of BWS object case method in understanding the MIs that farmers consider are most effective in the prevention and control of endometritis disease in the dairy herds. The MIs are on-farm biosecurity and hygiene, seeking veterinary services for disease treatment and selecting sires for ease of calving. These MIs should be considered for prioritization in extension services and research to continuously improve and enhance their practical application on smallholder dairy farms.

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“…The study confirmed that there were a lot of factors that had the potential effect of farmers' choice on reproductive technology used. These factors are the education qualification of farmers, household member, distance to AI station, and their job in agriculture and livestock farming [20]. More than 53 % of farmers already adopted AI for about 1-5 years, 25% less than 1 year, and 3.75% more than 10 years.…”

Section: Resultsmentioning

confidence: 99%

Factors Affecting Adoption of Beef Cattle Artificial Insemination (AI) in Smallholder Farmer in Bengkulu Province, Indonesia

Suteky¹,

Dwatmadji²

2021

Proceedings of the International Seminar on Promoting Local Resources for Sustainable Agriculture and Development (ISPLRSAD 202

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This research aimed to determine factors affecting beef cattle adoption of Artificial Insemination (AI) in smallholder farmers in Bengkulu Province, Indonesia. The sample was chosen through random sampling, from 4 districts in Bengkulu Province. The total sample was 80 beef cattle smallholder farmers. Data were collected based on structured questionnaires as primary data and literature review and relevant sources were used as secondary data. Data were analysed descriptively and correlation regression was used to analyze the relationships among parameters. The result shows the majority of farmers in these districts possess Bali cattle; women had a lower adoption percentage than men. Our findings also showed that 88,75% is the active age group (25-60 years of age), have enough knowledge and practices, and capability to make suitable decisions to adopt AI technology. The level of education, family size, farming experience, herd size did not significantly (P>0.05) affect AI adoption, while the age and the knowledge of AI significantly (P<0.05) affected the adoption of AI technology. Difficulty in oestrus detection repeated failure during insemination, higher charges for AI and the distance of the AI centre from the village were the main reasons for smallholder farmers did not adopt the AI technology.

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Artificial Insemination in Nyagatare District: Level of Adoption and the Factors determining its Adoption

Cited by 10 publications

References 19 publications

Prevalence and risk factors for brucellosis seropositivity in cattle in Nyagatare District, Eastern Province, Rwanda

Prevalence and risk factors for brucellosis seropositivity in cattle in Nyagatare District, Eastern Province, Rwanda

Perception of farmers about endometritis prevention and control measures for zero-grazed dairy cows on smallholder farms in Rwanda

Factors Affecting Adoption of Beef Cattle Artificial Insemination (AI) in Smallholder Farmer in Bengkulu Province, Indonesia

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