The African Animal Breeding Network as a pathway towards genetic improvement of livestock

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY Nature genetics Pub Date : 2025-02-10 DOI:10.1038/s41588-025-02079-4
Appolinaire Djikeng, Victor E. Olori, Isidore Houaga, Samuel E. Aggrey, Okeyo Mwai, Eveline M. Ibeagha-Awemu, Raphael Mrode, Mizeck G. G. Chagunda, Christian K. Tiambo, Romdhane Rekaya, Oyenkanmi Nash, Zabron Nziku, Oluyinka Opoola, Mapholi Ntanganedzeni, Chinyere Ekine-Dzivenu, Alexander Kahi, Tobias Okeno, John M. Hickey, Negussie Enyew, Edward J. O. Rege
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Abstract

Transforming Africa’s agricultural production and food systems is an imperative to achieve the United Nations Sustainable Development Goals and deliver on the Africa Union’s 2063 vision, ‘the Africa we want’. Transforming livestock systems through genetic improvement will sustainably increase productivity and proffer an inclusive socioeconomic development of farming communities. The African Animal Breeding Network (AABNet) is a platform of highly knowledgeable geneticists, animal breeders and professionals willing to provide information, training, advice and support across the continent. It will leverage available human resources among its members, facilitate partnerships and investment and develop infrastructure for innovative livestock genetic improvement in Africa.

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Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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