A Longitudinal Study of Cattle Productivity in Intensive Dairy Farms in Central Ethiopia

Tschopp, Rea; Gemechu, Gizachew; Wood, James L. N.

doi:10.3389/fvets.2021.698760

Cited by 14 publications

(6 citation statements)

References 27 publications

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“…In the crop-livestock mixed and the pastoral systems, offtake of adults was higher than sub adults and juveniles. Tschopp et al ( 19 ) reported that the total offtake rate in the specialized dairy system as 0–71%.…”

Section: Resultsmentioning

confidence: 99%

Characterizing Ethiopian cattle production systems for disease burden analysis

Li,

Mayberry,

Jemberu

et al. 2023

Front. Vet. Sci.

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This paper addresses knowledge gaps in the biomass, productivity and value of livestock for the pastoral, mixed crop-livestock and specialized dairy systems in Ethiopia. Population size, reproductive performance, mortality, offtake and productivity of cattle were calculated from official statistics and a meta-analysis of data available in the published literature. This information was then used to estimate biomass and output value for 2020 using a herd dynamics model. The mixed-crop livestock system dominates the Ethiopian cattle sector, with 55 million cattle (78% total population) and contributing 8.52 billion USD to the economy through the provision of meat, milk, hides and draft power in 2021. By comparison, the pastoral (13.4 million head) and specialized dairy (1.8 million head) systems are much smaller. Productivity varied between different production systems, with differences in live body weight, productivity and prices from different sources. The estimated total cattle biomass was 14.8 billion kg in 2021, i.e., 11.3 billion kg in the mixed crop-livestock system, 2.60 billion kg in the pastoral system and 0.87 billion kg in the specialized dairy system. The total economic asset values of cattle in the mixed crop-livestock, pastoral and specialized dairy systems were estimated as 24.8, 5.28 and 1.37 billion USD, respectively. The total combined output value (e.g., beef, milk and draft power) of cattle production was 11.9 billion USD, which was 11.2% of the GDP in Ethiopia in 2021. This work quantifies the importance of cattle in the Ethiopian economy. These estimates of herd structure, reproductive performance, productivity, biomass, and economic value for cattle production systems in Ethiopia can be used to inform high-level policy, revealing under-performance and areas to prioritize and provide a basis for further technical analysis, such as disease burden.

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Section: Resultsmentioning

confidence: 99%

Characterizing Ethiopian cattle production systems for disease burden analysis

Li,

Mayberry,

Jemberu

et al. 2023

Front. Vet. Sci.

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“…Some of the constraints and data needs ( Table 1 ) had been reported previously by Beyu (2016) , including inadequate animal health services and high drug costs, inadequate quality feed supplies, poor productivity and genetics, and weak development of dairy co-operatives. Tschopp et al . (2021) also recently highlighted the lack of dairy productivity data in Ethiopia.…”

Section: Discussionmentioning

confidence: 99%

A multi-stakeholder participatory pilot study of the data demands of the future Ethiopian dairy sector

Perry

Aklilu²,

Hailemariam³

et al. 2022

Gates Open Res

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Background: This paper describes a pilot study undertaken in 2018, to determine the key data needs of each of the different Ethiopian dairy sector stakeholder groups. The study aimed to characterise the emerging trends of dairy product production, processing, retailing and consumption in Ethiopia, and to identify and characterise current and future data needs of different stakeholders. Methods: The study undertook a mapping of the interactions between different stakeholders in the dairy sector, and an interactive evaluation of the institutional data repository and access options. Focus group discussions and interviews were held in three regions of the country prior to a two-day workshop in the capital Addis Ababa. Data needs were characterised by type, availability, format, level of detail, methods of dissemination, uptake and use, and the institutional arrangement, including the different roles of public and private sectors in decision making processes. Results: The study highlighted the main data needs and identified several broader institutional issues constraining the further development of the Ethiopian dairy sector. The stakeholder groups endorsed the reactivation of a national dairy board, independent of government but closely incorporating government, and with the buy-in and membership of private sector enterprises, including producers, processers, service providers and consumers, to provide clearer facilitative leadership on the dairy industry. Conclusions: The study workshop provided a timely discussion between diverse stakeholders, including government, and several potential organisations were suggested to host and manage a national dairy database. Importantly, the reactivation of a national dairy board was strongly endorsed. It was recommended that stakeholder links be established, sector-specific data needs be elevated to higher detail, and a national roll out of herd-specific data recording schemes was called for, to allow for effective evidence-based policies and decision making.

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“…The results showed that animals mated by a Holstein Friesian x Horro sire had a higher conception rate (80.7±2.9%) than animals mated by a pure Jersey sire (78.5±2.4%), a pure Horro sire (74.5±1.8%), a pure Holstein Friesian sire (73.3±2.4%) and a Jersey-Horro sire (67.7±3.8%), respectively. In Addis Ababa, however, the rate of successful conception after arti cial insemination (AI) was 66.1% (Tschopp et al, 2021). CR was higher than Legesse Belay et al(2016), who reported 60.4% in Southern Region of Ethiopia.…”

Section: Calving Interval (Ci) and Days Open (Do)mentioning

confidence: 91%

“…Tadesse et al (2010) revealed that parity and calving season have a signi cant in uence on CI and DO, which is consistent with these ndings. The average CI for intensive dairy farms in Central Ethiopia was 483.2 days (Tschopp et al 2021). Moreover, Mezgebe et al (2018) observed that cows with a shorter calving interval give birth earlier in the calving season, making cows conceive more easily and increasing calves' growth performance.…”

Section: Calving Interval (Ci) and Days Open (Do)mentioning

confidence: 99%

Horro and their crossbred dairy cow’s reproductive performance in Ethiopia subhumid tropical environments

Jalata

Goshu

Mediksa

et al. 2022

Preprint

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The estrus detection system, proper time of insemination, feeding, and health care practices each make a significant contribution towards the herd's optimal breeding efficiency and lifetime production. In the subhumid environments of Ethiopia, the age at first calving, days open, calving to first heat, and services per conception are economic traits in the reproductive performance of Horro and their crossbred dairy cows. As a result, data collected at Ethiopia's Bako Agricultural Research Center from 1980 to 2019 were used to study the reproductive performance of Horro and their crosses with Holstein Friesian and Jersey dairy cows. The overall mean ± standard error of age at first service (AFS), age at first calving (AFC), number of services per conception (NSP), calving interval (CI), days open (DO), conception rate (CR), and replacement rate (RR) were 29.2±0.2 months, 39.8±0.2months,1.76±0.4, 13.2±0.3 months, 94.3±4.3 days, 75.0±1.3%, and 28.4±0.3%, respectively. At 60 and 90 days, the odds ratio of the nonreturn rate (NRR) was 0.22 and 0.96, respectively. The breeds (sire and dam) and birth period had a significant (P < 0.001) influence on AFS and AFC, whereas season and dam parity had a significant influence on CI and DO. Inconsistent management in feeding, heat detection, inseminator skills, insemination time, health, and other husbandry practices may result in extended periods of AFS, AFC, CI, and DO. To improve the reproductive performance of Horro and their crosses with Holstein Friesian and Jersey dairy cows in Ethiopia's subhumid environments, we should focus on increasing management factors.

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A Longitudinal Study of Cattle Productivity in Intensive Dairy Farms in Central Ethiopia

Cited by 14 publications

References 27 publications

Characterizing Ethiopian cattle production systems for disease burden analysis

Characterizing Ethiopian cattle production systems for disease burden analysis

A multi-stakeholder participatory pilot study of the data demands of the future Ethiopian dairy sector

Horro and their crossbred dairy cow’s reproductive performance in Ethiopia subhumid tropical environments

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