eprintid: 11492
rev_number: 12
eprint_status: archive
userid: 3170
dir: disk0/00/01/14/92
datestamp: 2020-04-13 04:06:54
lastmod: 2020-04-13 04:06:54
status_changed: 2020-04-13 04:06:54
type: article
metadata_visibility: show
creators_name: Santantonio, N
creators_name: Atanda, S A
creators_name: Beyene, Y
creators_name: Varshney, R K
creators_name: Olsen, M
creators_name: Jones, E
creators_name: Roorkiwal, M
creators_name: Gowda, M
creators_name: Bharadwaj, C
creators_name: Gaur, P M
creators_name: Zhang, X
creators_name: Dreher, K
creators_name: Ayala-Hernández, C
creators_name: Crossa, J
creators_name: Pérez-Rodríguez, P
creators_name: Rathore, A
creators_name: Gao, S Y
creators_name: McCouch, S
creators_name: Robbins, K R
icrisatcreators_name: Varshney, R K
icrisatcreators_name: Roorkiwal, M
icrisatcreators_name: Gaur, P M
icrisatcreators_name: Rathore, A
affiliation: Section of Plant Breeding and Genetics, School of Integrative Plant Sciences, Cornell University, Ithaca, NY, United States
affiliation: West Africa Center for Crop Improvement (WACCI), University of Ghana, Accra, Ghana
affiliation: International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
affiliation: International Maize and Wheat Improvement Center (CIMMYT), Nairobi, Kenya
affiliation: ICRISAT (Patancheru)
affiliation: Genomic Open-Source Breeding Informatics Initiative (GOBii) Project, Institute of Biotechnology, Cornell University, Ithaca, NY, United States
affiliation: Division of Genetics, Indian Agriculture Research Institute (ICAR), New Delhi, India
affiliation: ICRISAT (Patancheru)
affiliation: Colegio de Postgraduados, Mexico, Mexico
country: USA
country: Ghana
country: Mexico
country: Kenya
country: India
title: Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia
ispublished: pub
subjects: PLB1
subjects: s2.13
divisions: CRPS2
divisions: CRPS3
crps: CG1
crps: crp1.7
full_text_status: public
keywords: Genomic selection, Genomic prediction, Breeding informatics, Breeding scheme optimization, Plant breeding, Trial design
abstract: 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.
date: 2020-03
date_type: published
publication: Frontiers in Plant Science (TSI)
volume: 11
publisher: Frontiers Media
id_number: doi:10.3389/fpls.2020.00353
refereed: TRUE
issn: 1664-462X
official_url: https://doi.org/10.3389/fpls.2020.00353
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.3389%2Ffpls.2020.00353&btnG=
related_url_type: pub
funders: Bill and Melinda Gates Foundation
funders: United States Agency for International Development (USAID)
citation:   Santantonio, N and Atanda, S A and Beyene, Y and Varshney, R K and Olsen, M and Jones, E and Roorkiwal, M and Gowda, M and Bharadwaj, C and Gaur, P M and Zhang, X and Dreher, K and Ayala-Hernández, C and Crossa, J and Pérez-Rodríguez, P and Rathore, A and Gao, S Y and McCouch, S and Robbins, K R  (2020) Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia.  Frontiers in Plant Science (TSI), 11.   ISSN 1664-462X     
document_url: http://oar.icrisat.org/11492/1/fpls-11-00353.pdf