Using the community-based breeding program (CBBP) model as a collaborative platform to develop the African Goat Improvement Network-Image collection protocol (AGIN-ICP) with mobile technology for data collection and management of livestock phenotypes.

Autor: Woodward-Greene MJ; National Agricultural Library, USDA Agricultural Research Service, Beltsville, MD, United States.; Animal Genomics Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States.; Bioinformatics and Computational Biology Program, School of Systems Biology, College of Science, George Mason University, Manassas, VA, United States., Kinser JM; School of Physics, Astronomy, and Computational Sciences, College of Science, George Mason University, Fairfax, VA, United States., Huson HJ; Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, United States., Sonstegard TS; Acceligen Inc., Eagan, MN, United States., Soelkner J; Department of Sustainable Agricultural Systems, Division of Livestock Sciences, BOKU-University of Natural Resources and Life Sciences, Vienna, Austria., Vaisman II; Bioinformatics and Computational Biology Program, School of Systems Biology, College of Science, George Mason University, Manassas, VA, United States., Boettcher P; Food and Agriculture Organization of the United Nations, Animal Production and Health Division, Rome, Italy., Masiga CW; Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA), Entebbe, Uganda., Mukasa C; National Animal Genetic Resource Centre and Data Bank, Entebbe, Uganda., Abegaz S; Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia., Agaba M; Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania., Ahmed SS; Cell Biology Department, Biotechnology Research Institute, National Research Centre, Giza, Egypt., Maminiaina OF; Department of Zootechnical, Veterinary and Piscicultural Research (DRZVP), National Center for Applied Research in Rural Development (CENRADERU), Antananarivo, Madagascar., Getachew T; International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia., Gondwe TN; Department of Animal Science, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi., Haile A; International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia., Hassan Y; Department of Animal Genetic Resources Development, Animal Production Research Center, Ministry of Animal Resources, Khartoum North, Sudan., Kihara A; International Livestock Research Institute, Nairobi, Kenya., Kouriba A; Institut d'Économie Rurale, Bamako, Mali., Mruttu HA; Ministry of Livestock and Fisheries, Dodoma, Tanzania., Mujibi D; International Livestock Research Institute, Nairobi, Kenya., Nandolo W; Department of Animal Science, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi., Rischkowsky BA; International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia., Rosen BD; Animal Genomics Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States., Sayre B; Department of Biology, Virginia State University, Petersburg, VA, United States., Taela M; Agrarian Research Institute of Mozambique, Directorate of Animal Science, Maputo, Mozambique., Van Tassell CP; Animal Genomics Improvement Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States.

Publikováno v: Frontiers in genetics [Front Genet] 2023 Sep 06; Vol. 14, pp. 1200770. Date of Electronic Publication: 2023 Sep 06 (Print Publication: 2023).