Livestock phenomics and genetic evaluation approaches in Africa: current state and future perspectives.

Africa ICT and mobile technologies animal identification genetic evaluation livestock data recording

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2023
Historique:
received: 04 12 2022
accepted: 18 05 2023
medline: 26 6 2023
pubmed: 26 6 2023
entrez: 26 6 2023
Statut: epublish

Résumé

The African livestock sector plays a key role in improving the livelihoods of people through the supply of food, improved nutrition and consequently health. However, its impact on the economy of the people and contribution to national GDP is highly variable and generally below its potential. This study was conducted to assess the current state of livestock phenomics and genetic evaluation methods being used across the continent, the main challenges, and to demonstrate the effects of various genetic models on the accuracy and rate of genetic gain that could be achieved. An online survey of livestock experts, academics, scientists, national focal points for animal genetic resources, policymakers, extension agents and animal breeding industry was conducted in 38 African countries. The results revealed 1) limited national livestock identification and data recording systems, 2) limited data on livestock production and health traits and genomic information, 3) mass selection was the common method used for genetic improvement with very limited application of genetic and genomic-based selection and evaluation, 4) limited human capacity, infrastructure, and funding for livestock genetic improvement programmes, as well as enabling animal breeding policies. A joint genetic evaluation of Holstein-Friesian using pooled data from Kenya and South Africa was piloted. The pilot analysis yielded higher accuracy of prediction of breeding values, pointing to possibility of higher genetic gains that could be achieved and demonstrating the potential power of multi-country evaluations: Kenya benefited on the 305-days milk yield and the age at first calving and South Africa on the age at first calving and the first calving interval. The findings from this study will help in developing harmonized protocols for animal identification, livestock data recording, and genetic evaluations (both national and across-countries) as well as in designing subsequent capacity building and training programmes for animal breeders and livestock farmers in Africa. National governments need to put in place enabling policies, the necessary infrastructure and funding for national and across country collaborations for a joint genetic evaluation which will revolutionize the livestock genetic improvement in Africa.

Identifiants

pubmed: 37359382
doi: 10.3389/fgene.2023.1115973
pii: 1115973
pmc: PMC10285055
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1115973

Informations de copyright

Copyright © 2023 Houaga, Mrode, Opoola, Chagunda, Mwai, Rege, Olori, Nash, Banga, Okeno and Djikeng.

Déclaration de conflit d'intérêts

Author VO was employed by Aviagen Limited. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Isidore Houaga (I)

Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, United Kingdom.
The Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, United Kingdom.

Raphael Mrode (R)

Scotland Rural College (SRUC), Edinburgh, United Kingdom.
International Livestock Research Institute (ILRI), Nairobi, Kenya.

Oluyinka Opoola (O)

Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, United Kingdom.

Mizeck G G Chagunda (MGG)

Department of Animal Breeding and Husbandry in the Tropics and Subtropics, University of Hohenheim, Stuttgart, Germany.

Okeyo A Mwai (OA)

International Livestock Research Institute (ILRI), Nairobi, Kenya.

John E O Rege (JEO)

Emerge Centre for Innovations-Africa (ECI-Africa), Nairobi, Kenya.

Victor E Olori (VE)

Aviagen Limited, Newbridge, United Kingdom.

Oyekanmi Nash (O)

Centre for Genomics Research and Innovation, National Biotechnology Development Agency, Abuja, Nigeria.

Cuthbert B Banga (CB)

Agricultural Research Council (ARC), Pretoria, South Africa.
Department of Animal Sciences, Faculty of Animal and Veterinary Sciences, Botswana University of Agriculture and Natural Resources (BUAN), Gaborone, Botswana.

Tobias O Okeno (TO)

Department of Animal Sciences, Egerton University, Egerton, Kenya.

Appolinaire Djikeng (A)

Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, United Kingdom.
International Livestock Research Institute (ILRI), Nairobi, Kenya.
Department of Agriculture and Animal Health, College of Agriculture and Environmental Sciences, University of South Africa, Pretoria, South Africa.

Classifications MeSH