Dairy cattle producers’ perception on Oestrus Synchronization and mass artificial insemination services in Waliso and Ilu Districts of South West Shoa Zone of Oromia, Ethiopia

Fekata, Abera; Galmessa, Ulfina; Fita, Lemma; Merera, Chala; Bekuma, Amanuel

doi:10.29328/journal.ivs.1001020

Cited by 3 publications

(2 citation statements)

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“…Calving rate (CR) was defined as the number of calves born per 100 services and is the most appropriate measure of fertility (Mohamed, 2004). The present result on CR (20.5 %) is much below the findings of Alemshet et al (2017) in HF and Zebu crossbred cows (54.8 ± 1.35 %) in Eastern Zone of Tigray, Ethiopia, Emebet and Zeleke (2014) and Haileyesus (2006) reported in crossbred dairy cows (63.4 to 76.9 %) in different parts of the country, 26.22 % in South West Shoa Zone of Oromia, Ethiopia through FTAI (Fekata et al, 2020), 39 % in smallholder dairy herd bred by conventional AI in Kenya (Kinyua, 2016), and 37 % in dairy cows of Eastern and Southeastern Zones of Tigray, Ethiopia (Ashebir et al, 2016). (Khan et al, 2013;Schuller et al, 2014).…”

Section: Discussionmentioning

confidence: 59%

“…Cattle AI service programme was not significantly (P > 0.05) important in the Western Zone of Tigray, Ethiopia because 47.3 % of the small-scale farmers were not satisfied by the cattle AI service programme. However, the present report is not similar with the reports of Kindalem (2019) reported that 94.0 % of AI beneficiaries in Janamora district were not satisfied by the AI service; Gebremedhin (2008) reported the respondents in Tiyo (31 %) and Sagure (45.5 %) districts of Arsi Zone were satisfied with AI service; 55.8 % of the respondents were not satisfied by AI service (Riyad et al, 2017); Desalegn (2008) reported that 93.1 % of the AI beneficiary farmers did not get reliable and consistent AI service and were not satisfied; 69.17 % of the respondents in West Gojjam Zone were not satisfied in AI service (Malede et al, 2013); 69.9 % respondents in Debretabour Town, Ethiopia were not satisfied by AI service (Bemrew et al, 2015); Getabalew et al (2019) reported that there is little or no satisfaction on AI service delivery system by most smallholder dairy farmers in many places of Ethiopia, and 67.15 % of the respondents in South West Shoa Zone of Oromia, Ethiopia were not satisfied on oestrus synchronization and mass AI service (Fekata et al, 2020). The differences in AI service satisfaction level in different parts of the country could be due to lack of awareness, efficiency of AITs, oestrus detection, ecology, husbandry practices, semen quality and semen handling procedures and overall efficiency of AI service.…”

Section: Discussionmentioning

confidence: 99%

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Assessment of Efficiency of Artificial Insemination Service in Cattle Production in the Western Zone of Tigray Region, Ethiopia

Mekonnen,

Berhe

2023

Slovak J. Anim. Sci.

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The study was conducted before the ignition (before October 2020) of the war in Tigray Region, Ethiopia. Artificial insemination (AI) is the first generation biotechnology and is one of the assisted reproductive techniques (ART) that greatly plays for a faster genetic improvement of farm animals. Though AI was implemented in cattle crossbreeding for many decades in Ethiopia, there is quite insignificant national output of crossbred cattle population (1.54 %). The aim of the survey was to assess the efficiency of AI service in cattle production in the Western Zone of Tigray Region, Ethiopia. Twenty (20) Kebeles and 353 small-scale farmers were purposively involved in the household face-to-face survey interview. The data were analyzed using Statistical Package for Social Sciences (SPSS), and summarized by mean, frequency and percentages. The survey indicated that the existing reproductive efficiency of cattle AI service in the Western Zone of Tigray Region, Ethiopia was extremely poor. The mean number of services per conception (NSC) was very high that could be due to mainly inappropriate heat detections. The recommended, acceptable and excellent grade of NSC fall in the range of 1 − 1.7. The overall conception rate at first insemination (CRFI) was also very poor (20.4 %) and thus calving rate (CR) was poor (20.5 %). About one-third (33.4 %) of the respondents indicated that cows and heifers exhibited heat in 0:01 − 6:00 am of the day. About 30.9 % and 28.6 % of the respondents reported that their cows and heifers were inseminated in 9 − 12 hours and 4 − 8 hours after the onset of heat, respectively. The majority (70.8 %) of the respondents did not practice controlled mating and breeding, and the first preference of 50.1 % of the respondents was natural mating. The most common source of bulls for about 34.3 % of the respondents was from neighbors and followed by own bred bulls (30.0 %). Cattle AI feasibility study and identification of AI strategic interventions should be the first focus to improve the existing poor AI efficiency of the study area.

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Section: Discussionmentioning

confidence: 59%

Section: Discussionmentioning

confidence: 99%

Assessment of Efficiency of Artificial Insemination Service in Cattle Production in the Western Zone of Tigray Region, Ethiopia

Mekonnen,

Berhe

2023

Slovak J. Anim. Sci.

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Challenges and Opportunities on Estrus Synchronization and Mass Artificial Insemination in Dairy Cows for Smallholders in Ethiopia

Abebe

Alemayehu

2021

International Journal of Zoology

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In this paper, the potentials and constraints on estrus synchronization (ES) and artificial insemination (AI) practice for dairy cattle producers were overviewed. Compared to other African countries, Ethiopia has large numbers of dairy cattle population. However, the self-sufficiency in milk production is not yet attained due to the presence of a lot of limitations that hamper the success of ES and mass AI practice in many parts of the country such as improper selection of cows/heifers, inseminating a large number of cows/heifers in one day at a specific place (which creates stress for both AI technicians and female animals), absence of a data recording system, lack of clearly defined share of responsibilities among stakeholders, poor communication and collaboration among stakeholders, lack of motivations and skills of AI technicians, lack of support and readily available inputs, feed shortages, improper heat detection by smallholders and time of insemination, and lower reproductive performances of both indigenous and crossbred cows which consequently contributed to the unsuccessfulness of the technology.

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Agricultural literacy in artificial insemination and agribusiness management for social innovation in rural populations affected by armed conflict in Colombia

Lenis,

Montgomery,

Carrillo-González

et al. 2024

Front. Sustain. Food Syst.

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The achievement of education in rural populations was one of the Millennium Development Goals (MDGs), outlined by the United Nations. During the last World Summit on Sustainable Development (WSSD), it was concluded that the majority of the world’s poor, illiterate and undernourished population lives in rural areas; therefore, access to education is considered one of the greatest challenges for governments in countries with developing economies. The purpose of this study was to determine how a theoretical-practical training program in rural management and leadership (D-ML), artificial insemination (D-AI), and bovine genetic improvement (D-GI) affected the perception and level of knowledge in a rural population affected by Colombia’s armed conflict. Phase 1 included the theoretical and practical training of undergraduate animal sciences students in three dimensions (D-ML, D-AI, D-GI). After training, students were evaluated according to their level of theoretical-practical knowledge and their behavioral performance. There were 13 students selected to be a part of what we went on to call “the group of student leaders.” Phase 2 included the socioeconomic characterization and training of rural residents by the group of student leaders and field experts in the same three dimensions (D-ML, D-AI, D-GI). We evaluated the perception and level of knowledge before and after training in 63 rural residents using an evaluative instrument. The perception of knowledge in rural residents was low for general knowledge (GTD) (2.48 ± 0.76, p < 0.05), D-ML (2.89 ± 1.18, p < 0.05) and D-AI/D-GI (2.17 ± 0.83, p < 0.05), in accordance with the 5-point Likert-type ordinal scale. When level of knowledge was measured before the theorical-practical training, the level of GTD was 45.9%, however, after the training it increased to 77.6% (p < 0.01), while the level of knowledge for D-AI increased from 38.5% pre-training to 80.6% (p <0.05) post-training, and level of knowledge for D-GI pre-training was 50.8% and increased to 73.0% (p < 0.01) post-training. Finally, the level of knowledge for D-ML increased (p < 0.01) from 54.8% pre-training to 75% post-training. Altogether, rural extension programs contribute to closing knowledge gaps in relation to the use of reproductive biotechnologies and bovine management in rural areas affected by armed conflict.

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Dairy cattle producers’ perception on Oestrus Synchronization and mass artificial insemination services in Waliso and Ilu Districts of South West Shoa Zone of Oromia, Ethiopia

Cited by 3 publications

References 2 publications

Assessment of Efficiency of Artificial Insemination Service in Cattle Production in the Western Zone of Tigray Region, Ethiopia

Assessment of Efficiency of Artificial Insemination Service in Cattle Production in the Western Zone of Tigray Region, Ethiopia

Challenges and Opportunities on Estrus Synchronization and Mass Artificial Insemination in Dairy Cows for Smallholders in Ethiopia

Agricultural literacy in artificial insemination and agribusiness management for social innovation in rural populations affected by armed conflict in Colombia

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