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Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia

Author: Santantonio, N.
Author: Atanda, A.S.
Author: Beyene, Y.
Author: Varshney, R.K.
Author: Olsen, M.
Author: Jones, E.
Author: Roorkiwal, M.
Author: Gowda, M.
Author: Chellapilla Bharadwaj
Author: Pooran M. Gaur
Author: Zhang, X.
Author: Dreher, K.A.
Author: Ayala Hernández, C.
Author: Crossa, J.
Author: Perez-Rodriguez, P.
Author: Abhishek Rathore
Author: Yanxin Gao
Author: McCouch, S.
Author: Robbins, K.
Year: 2020
ISSN: 1664-462X (Print)
URI: https://hdl.handle.net/10883/20819
Format: PDF
Language: English
Publisher: Frontiers
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Basel (Switzerland)
Issue: art. 353
Volume: 11
DOI: 10.3389/fpls.2020.00353
Description: Much of the world’s population growth will occur in regions where food insecurity is prevalent, with large increases in food demand projected in regions of Africa and South Asia. While improving food security in these regions will require a multi-faceted approach, improved performance of crop varieties in these regions will play a critical role. Current rates of genetic gain in breeding programs serving Africa and South Asia fall below rates achieved in other regions of the world. Given resource constraints, increased genetic gain in these regions cannot be achieved by simply expanding the size of breeding programs. New approaches to breeding are required. The Genomic Open-source Breeding informatics initiative (GOBii) and Excellence in Breeding Platform (EiB) are working with public sector breeding programs to build capacity, develop breeding strategies, and build breeding informatics capabilities to enable routine use of new technologies that can improve the efficiency of breeding programs and increase genetic gains. Simulations evaluating breeding strategies indicate cost-effective implementations of genomic selection (GS) are feasible using relatively small training sets, and proof-of-concept implementations have been validated in the International Maize and Wheat Improvement Center (CIMMYT) maize breeding program. Progress on GOBii, EiB, and implementation of GS in CIMMYT and International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) breeding programs are discussed, as well as strategies for routine implementation of GS in breeding programs serving Africa and South Asia.
Country of Focus: AFRICA
Country of Focus: SOUTH ASIA
Agrovoc: MARKER-ASSISTED SELECTION
Agrovoc: PLANT BREEDING
Agrovoc: EXPERIMENTAL DESIGN
Related Datasets: https://figshare.com/articles/Table_1_Strategies_for_Effective_Use_of_Genomic_Information_in_Crop_Breeding_Programs_Serving_Africa_and_South_Asia_DOCX/12039678
Journal: Frontiers in Plant Science


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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP
  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

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