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TAAT e-catalog for government
https://e-catalogs.taat-africa.org/gov/technologies/community-based-breeding-program
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Community-Based Breeding Program

Transforming Ruminant Farming Together

This program sets up special herds: a main group with chosen female sheep and goats, plus excellent male sheep or goats. A group of local community members choose and oversee these animals, paying attention to their best qualities. We track progress using measurements, sometimes with special computer tools."

This technology is TAAT1 validated.

7•9

Scaling readiness: idea maturity 7/9; level of use 9/9

Positive or neutral impact

Adults 18 and over
Positive high
The poor
Positive high
Under 18
Positive high
Women
Positive high

Positive or neutral impact

Climate adaptability
It adapts really well
Adaptability for farmers
It helps a lot
Biodiversity
It helps them grow and thrive

Problem

  • Poor genetics and diseases: Small ruminants in Africa often suffer from poor genetics and diseases, limiting their productivity. Community-based selection programs aim to improve genetics and enhance disease resistance.
  • Mixed herd structure: Mixed herd structures, composed of males and females of different ages, complicate the identification and propagation of specific male breeders. This makes tracking genetic progress difficult and fosters inbreeding.
  • Lack of tracking and recording: Small-scale breeders typically do not keep breeding records, making it challenging to monitor genetic progress and manage mating.
  • Mixed results from crossbreeding with exotic breeds: Attempts to crossbreed with exotic breeds have not always yielded the expected results due to the lack of adaptation in offspring.
  • Need for technical skills: Establishing community-based breeding programs requires technical skills to identify elite animals, establish recording and data collection systems, and provide technical support to breeders.

Solution

  • By implementing structured selection programs, the technology aims to improve the genetic quality of small ruminants, selecting for desirable traits such as disease resistance and productivity.
  • The technology establishes structured breeding programs that focus on selecting specific male breeders with desired traits, addressing the challenge of mixed herd structures and enabling targeted breeding efforts.
  • Community-based breeding programs include systems for recording breeding data, facilitating the monitoring of genetic progress and informed decision-making in mating processes.
  • By focusing on community-based selection of superior animals adapted to local conditions, the technology aims to improve breeding outcomes and overcome challenges associated with crossbreeding with exotic breeds.
  • The technology provides technical support and training to breeders, equipping them with the necessary skills to identify elite animals, establish recording systems, and manage breeding programs effectively.

Key points to design your project

This technology enhances the income and food security of small-scale farmers by improving the productivity and resilience of small ruminants. It reduces disease prevalence, fosters rural economic growth, and enhances climate resilience, while also supporting sustainable land use and biodiversity conservation.

To integrate this technology into your project, follow these steps and prerequisites:

  • Identify suitable locations for implementing the breeding program, considering existing livestock populations and community interest.
  • Evaluate and prioritize breeding stock based on desired traits like disease resistance and productivity.
  • Establish clear breeding objectives tailored to the diverse livelihood strategies and economic opportunities within target communities.
  • Implement recording systems to track breeding data and inform mating decisions effectively.
  • Select elite animals with superior traits for breeding, ensuring proper maintenance for mating purposes.
  • Provide technical support and training to community members involved in the program to manage it effectively.
  • Collaborate with agricultural development institutes, seed multiplication companies, and other stakeholders to strengthen institutional relations, local cooperatives, and market connections.
More

15 %

familly income increase

IP

Open source / open access

Countries with a green colour
Tested & adopted
Countries with a bright green colour
Adopted
Countries with a yellow colour
Tested
Egypt Equatorial Guinea Ethiopia Algeria Angola Benin Botswana Burundi Burkina Faso Democratic Republic of the Congo Djibouti Côte d’Ivoire Eritrea Gabon Gambia Ghana Guinea Guinea-Bissau Cameroon Kenya Libya Liberia Madagascar Mali Malawi Morocco Mauritania Mozambique Namibia Niger Nigeria Republic of the Congo Rwanda Zambia Senegal Sierra Leone Zimbabwe Somalia South Sudan Sudan South Africa Eswatini Tanzania Togo Tunisia Chad Uganda Western Sahara Central African Republic Lesotho
Countries where the technology has been tested and adopted
Country Tested Adopted
Burkina Faso Not tested Adopted
Cameroon Not tested Adopted
Ethiopia Not tested Adopted
Kenya Not tested Adopted
Mali Not tested Adopted
Nigeria Not tested Adopted
Senegal Not tested Adopted
South Sudan Not tested Adopted
Tanzania Not tested Adopted
Uganda Not tested Adopted
Zimbabwe Not tested Adopted

This technology can be used in the colored agro-ecological zones. Any zones shown in white are not suitable for this technology.

Agro-ecological zones where this technology can be used
AEZ Subtropic - warm Subtropic - cool Tropic - warm Tropic - cool
Arid
Semiarid
Subhumid
Humid

Source: HarvestChoice/IFPRI 2009

The United Nations Sustainable Development Goals that are applicable to this technology.

Sustainable Development Goal 2: zero hunger
Goal 2: zero hunger
Sustainable Development Goal 5: gender equality
Goal 5: gender equality
Sustainable Development Goal 8: decent work and economic growth
Goal 8: decent work and economic growth
Sustainable Development Goal 13: climate action
Goal 13: climate action

  1. Identify Target Sites: Determine where the breeding program will be implemented, considering factors like climate and community involvement.

  2. Characterize Breeding Stock: Assess existing goats and sheep, focusing on traits like size, coat color, and temperament.

  3. Define Breeding Objectives: Collaborate with the community to set clear goals based on livelihood strategies and economic opportunities.

  4. Establish Recording Systems: Implement a system to record data related to breeding, including animal traits and performance.

  5. Select Elite Animals for Mating: Choose superior male and female animals based on desirable traits and community-set criteria.

  6. Monitor Herd Health and Performance: Keep track of the selected animals' health, housing, and feeding. Record their performance regularly.

  7. Implement Mating Plan: Allow selected males to mate with females from the base herd according to the management committee's guidelines.

  8. Engage Specialists (if needed): Seek the expertise of animal scientists for tasks like breed characterization and data analysis.

  9. Maintain Data Records: Continuously update and maintain records using specialized software for accurate measurements.

  10. Ensure Compliance with Breeding Criteria: Regularly review the breeding stock to ensure they continue to meet the community's set criteria.

  11. Encourage Community Involvement: Foster community ownership and involvement, which may include practices like castration of males not meeting breeding criteria.

  12. Promote Market Linkages: Strengthen institutional relations, local cooperatives, and market connections for program sustainability and profitability.

Last updated on 22 May 2024