Evidence map›Paper›PMID 37712066›Full record

ArticleFrontiers in genetics2023

The African Goat Improvement Network: a scientific group empowering smallholder farmers.

Curtis P Van Tassell, Benjamin D Rosen, M Jennifer Woodward-Greene, Jeffrey T Silverstein, Heather J Huson, Johann Sölkner, Paul Boettcher, Max F Rothschild, Gábor Mészáros, Helen N Nakimbugwe and 21 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. 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

31 authors.

Curtis P Van TassellAnimal Genomics and Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States.
M Jennifer Woodward-GreeneAnimal Genomics and Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States.
Jeffrey T SilversteinOffice of National Programs, USDA Agricultural Research Service, Beltsville, MD, United States.
Heather J HusonDepartment of Animal Science, Cornell University, Ithaca, NY, United States.
Johann SölknerDivision of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria.
Paul BoettcherAnimal Production and Health Division, Food and Agriculture Organization of the United Nations, Rome, Italy.
Max F RothschildDepartment of Animal Science, Iowa State University, Ames, IA, United States.
Gábor MészárosDivision of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria.
Helen N NakimbugweNational Animal Genetic Resources Centre and Data Bank, Entebbe, Uganda.
Timothy N GondweDepartment of Animal Science, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Farai C MuchadeyiBiotechnology Platform, Agricultural Research Council, Pretoria, South Africa.
Wilson NandoloDepartment of Animal Science, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Henry A MulindwaNational Agricultural Research Organization, Entebbe, Uganda.
Liveness J BandaDepartment of Animal Science, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Wilson KaumbataDepartment of Animal Science, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Tesfaye GetachewInternational Center for Agricultural Research in the Dry Areas, Addis Ababa, Ethiopia.
Aynalem HaileInternational Center for Agricultural Research in the Dry Areas, Addis Ababa, Ethiopia.
Albert SoudreUnité de Formation et de Recherches - Sciences et Technologies, Université Norbert ZONGO, Koudougou, Burkina Faso.
Dominique OuédraogoUniversité Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Barbara A RischkowskyInternational Center for Agricultural Research in the Dry Areas, Addis Ababa, Ethiopia.
Ally Okeyo MwaiInternational Livestock Research Institute, Nairobi, Kenya.
Edgar Farai DzombaDiscipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Oyekanmi NashNational Biotechnology Development Agency, Abuja, Nigeria.
Solomon AbegazEthiopian Institute of Agricultural Research, Addis Ababa, Ethiopia.
Clet Wandui MasigaTropical Institute of Development Innovations (TRIDI), Mukono, Uganda.
Maria WurzingerDivision of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria.
Brian L SayreDepartment of Biology, Virginia State University, Petersburg, VA, United States.
Alessandra StellaInstitute of Agricultural Biology and Biotechnology (IBBA), Milano, Italy.
Gwenola Tosser-KloppGenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France.
Tad S SonstegardAcceligen Inc., Eagan, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The African Goat Improvement Network (AGIN) is a collaborative group of scientists focused on genetic improvement of goats in small holder communities across the African continent. The group emerged from a series of workshops focused on enhancing goat productivity and sustainability. Discussions began in 2011 at the inaugural workshop held in Nairobi, Kenya. The goals of this diverse group were to: improve indigenous goat production in Africa; characterize existing goat populations and to facilitate germplasm preservation where appropriate; and to genomic approaches to better understand adaptation. The long-term goal was to develop cost-effective strategies to apply genomics to improve productivity of small holder farmers without sacrificing adaptation. Genome-wide information on genetic variation enabled genetic diversity studies, facilitated improved germplasm preservation decisions, and provided information necessary to initiate large scale genetic improvement programs. These improvements were partially implemented through a series of community-based breeding programs that engaged and empowered local small farmers, especially women, to promote sustainability of the production system. As with many international collaborative efforts, the AGIN work serves as a platform for human capacity development. This paper chronicles the evolution of the collaborative approach leading to the current AGIN organization and describes how it builds capacity for sustained research and development long after the initial program funds are gone. It is unique in its effectiveness for simultaneous, multi-level capacity building for researchers, students, farmers and communities, and local and regional government officials. The positive impact of AGIN capacity building has been felt by participants from developing, as well as developed country partners.

Indexed as

community-based breeding programsgeneticsgenomicsgoatssmall-holdersustainability

Identifiers

PMID37712066
PMCPMC10497955

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.