Evidence map›Paper›PMID 39946836›Full record

ReviewAnimal : an international journal of animal bioscience2025

Review: Cross-breeding, advanced reproductive technologies, and genetic selection in twelve dairy production systems in Africa.

E K Kathambi, T S Sonstegard, P A Larsen

Abstract readReview
In one paragraph

Review in Animal : an international journal of animal bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

E K KathambiDepartment of Veterinary Biomedical Sciences, University of Minnesota, St. Paul, MN, 55108, USA. Electronic address: katha019@umn.edu.
T S SonstegardAcceligen(TM), 3388 Mike Collins Dr. Eagan, MN 55121, USA.
P A LarsenDepartment of Veterinary Biomedical Sciences, University of Minnesota, St. Paul, MN, 55108, USA.

Funding

Gates Foundation INV-004986
6 · The paper itself

Abstract

The supply and demand for milk in Africa have been rising due to factors such as population growth, urbanization, increasing incomes, and improved living standards. Dairy production significantly impacts the economic and social development of African countries, contributing over 10% to the agricultural gross domestic product in countries such as Ethiopia, Kenya, and Tanzania. The ongoing development of the African dairy industry can be attributed, to a certain extent, to the utilization of cross-breeding strategies and advanced reproductive technologies such as artificial insemination, embryo transfer, and the implementation of genomic selection programs. This review evaluates historical dairy breeding practices in twelve African countries and examines the use of advanced breeding tools to enhance and sustain cattle breeding programs across Africa. Eighteen cases from twelve African countries are reviewed to highlight the successes and reported positive impacts on dairy production, revenue, livelihoods, and genetic diversity. We have pinpointed the challenges of integrating new breeding approaches and technologies for African dairy programs, such as insufficient funding, low return on investment in biotechnology, poor monitoring and evaluation of breeding programs, and lack of developed legal frameworks on biotechnological operations. We have recommended strategies to overcome these barriers that may be employed in dairy systems to improve the adoption of breeding technologies across the region.

Indexed as

BreedingDairyingSelection, GeneticAfricaAnimalsCattleFemaleArtificial inseminationDairy cattleEmbryo transferIn vitro fertilizationMultiple ovulation

Identifiers

PMID39946836
PMCPMC11904124

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.