干旱区生态环境知识资源中心(Arid): Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia

Arid

DOI	10.3389/fpls.2020.00353
	Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia
	Santantonio, Nicholas 1; Atanda, Sikiru Adeniyi 1,2,3; Beyene, Yoseph 4; Varshney, Rajeev K.5; Olsen, Michael 4; Jones, Elizabeth 6; Roorkiwal, Manish 5; Gowda, Manje 4; Bharadwaj, Chellapilla 7; Gaura, Pooran M.8; Zhang, Xuecai 3; Dreher, Kate 3; Ayala-Hernandez, Claudio 3; Crossa, Jose 3; Perez-Rodriguez, Paulino 9; Rathore, Abhishek 5; Gao, Star Yanxin 6; McCouch, Susan 1; Robbins, Kelly R.1
通讯作者	Robbins, Kelly R.
来源期刊	FRONTIERS IN PLANT SCIENCE
ISSN	1664-462X
出版年	2020
卷号	11
英文摘要	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.
英文关键词	genomic selection genomic prediction breeding informatics breeding scheme optimization plant breeding trial design
类型	Article
语种	英语
国家	USA ; Ghana ; Mexico ; Kenya ; India
开放获取类型	Green Published, Green Accepted, gold
收录类别	SCI-E
WOS记录号	WOS:000525558100001
WOS关键词	GENOMEWIDE SELECTION ; QUANTITATIVE TRAITS ; PREDICTION ; ACCURACY
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
来源机构	International Crops Research Institute for the Semi-Arid Tropics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314561
作者单位	1.Cornell Univ, Sch Integrat Plant Sci, Sect Plant Breeding & Genet, Ithaca, NY 14853 USA; 2.Univ Ghana, WACCI, Accra, Ghana; 3.Int Maize & Wheat Improvement Ctr CIMMYT, Texcoco, Mexico; 4.Int Maize & Wheat Improvement Ctr CIMMYT, Nairobi, Kenya; 5.Int Crops Res Inst Semi Arid Trop, Ctr Excellence Genom & Syst Biol, Hyderabad, India; 6.Cornell Univ, Inst Biotechnol, Genom Open Source Breeding Informat Initiat GOBii, Ithaca, NY USA; 7.Indian Agr Res Inst ICAR, Div Genet, New Delhi, India; 8.Int Crops Res Inst Semi Arid Trop, Res Program Asia, Hyderabad, India; 9.Colegio Postgrad, Mexico City, DF, Mexico
推荐引用方式 GB/T 7714	Santantonio, Nicholas,Atanda, Sikiru Adeniyi,Beyene, Yoseph,et al. Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia[J]. International Crops Research Institute for the Semi-Arid Tropics,2020,11.
APA	Santantonio, Nicholas.,Atanda, Sikiru Adeniyi.,Beyene, Yoseph.,Varshney, Rajeev K..,Olsen, Michael.,...&Robbins, Kelly R..(2020).Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia.FRONTIERS IN PLANT SCIENCE,11.
MLA	Santantonio, Nicholas,et al."Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia".FRONTIERS IN PLANT SCIENCE 11(2020).