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999			_c61626 _d61618
001			61626
003			MX-TxCIM
005			20240919021228.0
008			200331s2020||||sz |||p|op||||00||0|eng|d
022			_a1664-462X
024	8		_ahttps://doi.org/10.3389/fpls.2020.00353
040			_aMX-TxCIM
041			_aeng
100	1		_aSantantonio, N. _912124
245	1	0	_aStrategies for effective use of genomic information in crop breeding programs serving Africa and South Asia
260			_aBasel (Switzerland) : _bFrontiers, _c2020.
500			_aPeer review
500			_aOpen Access
520			_aMuch 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.
526			_aMCRP _bFP2 _bFP3
526			_aEIB
546			_aText in English
650		7	_2AGROVOC _910737 _aMarker-assisted selection
650		7	_aPlant breeding _gAGROVOC _2 _91203
650		7	_2AGROVOC _94741 _aExperimental design
651		7	_91316 _aAfrica
651		7	_2AGROVOC _91956 _aSouth Asia
700	1		_aAtanda, A.S. _8001711295 _8001712571 _gGlobal Maize Program _gFormerly Global Wheat Program _98531
700	1		_aBeyene, Y. _9870 _8INT2891 _gGlobal Maize Program
700	1		_aVarshney, R.K. _95901
700	1		_aOlsen, M. _9923 _8INT3333 _gGlobal Maize Program
700	1		_aJones, E. _97905
700	1		_aRoorkiwal, M. _96147
700	1		_aGowda, M. _9795 _8I1705963 _gGlobal Maize Program
700	0		_aChellapilla Bharadwaj _97896
700	0		_aPooran M. Gaur _97895
700	0		_aXuecai Zhang _gGlobal Maize Program _8INT3400 _9951
700	1		_aDreher, K.A. _9808 _8I1706147 _gGenetic Resources Program
700	1		_aAYALA HERNÁNDEZ, C. _98530 _gGenetic Resources Program
700	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
700	1		_aPerez-Rodriguez, P. _92703
700	1		_aRathore, A. _8001712937 _gExcellence in Breeding _97897
700	1		_aYanxin Gao _8001713594 _gFormerly Excellence in Breeding _95786
700	1		_aMcCouch, S. _9594
700	1		_aRobbins, K. _95987
773	0		_tFrontiers in Plant Science _gv. 11, art. 353 _dSwitzerland : Frontiers, 2020. _x1664-462X _wu56875
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/20819
942			_cJA _n0 _2ddc