000 03472nab a22004457a 4500
001 64429
003 MX-TxCIM
005 20240919020953.0
008 200130s2021 xxk|||p|op||| 00| 0 eng d
022 _a2632-7309
024 8 _ahttps://doi.org/10.20900/cbgg20210005
_qDOI is wrong in original article
040 _aMX-TxCIM
041 _aeng
100 1 _aDreisigacker, S.
_gGlobal Wheat Program
_8INT2692
_9851
245 1 0 _aImplementation of genomic selection in the CIMMYT Global Wheat Program, findings from the past 10 years
260 _aUnited Kingdom :
_bHapres,
_c2021.
500 _aPeer review
500 _aOpen Access
520 _aWheat is a fundamental crop for improving global food security and the International Maize and Wheat Improvement Center (CIMMYT) has been a central pillar for providing high yielding, nutritious, disease- and climate-resilient wheat varieties to target countries, which is the basis for establishing more resilient agri-food systems especially in the developing world. Increasing wheat yield potential through plant breeding will play a crucial role in fulfilling the projected future global demand of wheat. New emerging technologies and breeding strategies must be looked at to accelerate the rate of genetic gains in wheat. Genomic selection (GS) in one of these strategies that has already demonstrated higher rates of genetic gains in animal breeding and is becoming an essential component of many plant breeding programs including wheat. Throughout the last decades the CIMMYT Global Wheat Program has made significant contributions to promote the implementation of GS in wheat. Several new genome-wide prediction models (e.g., models accounting for genotype × environment interaction or, more recently, deep learning methods) were developed and tested on CIMMYT wheat datasets. GS is routinely implemented in the CIMMYT spring bread wheat program since 2013. Here we summarize the learnings from 10 years of experience with GS in the CIMMYT Global Wheat Program and give a brief outlook on future work.
526 _aWC
_cFP3
546 _aText in English
591 _aMontesinos-Lopez, O.A. : No CIMMYT Affiliation
610 2 7 _9978
_aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT)
650 7 _2AGROVOC
_910737
_aMarker-assisted selection
650 7 _2AGROVOC
_94859
_aModels
650 7 _2AGROVOC
_91310
_aWheat
700 1 _aCrossa, J.
_gGenetic Resources Program
_8CCJL01
_959
700 1 _92703
_aPerez-Rodriguez, P.
700 1 _92700
_aMontesinos-Lopez, O.A.
_8I1706800
_gGenetic Resources Program
700 1 _94557
_aRosyara, U.
_8I1707470
_gGlobal Wheat Program
700 1 _aJULIANA P.
_8001710082
_gFormerly ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Global Wheat Program
_gFormerly BISA
_92690
700 1 _aMondal, S.
_gFormerly Global Wheat Program
_8INT3211
_9904
700 1 _92608
_aCrespo-Herrera, L.A.
_8I1706538
_gGlobal Wheat Program
700 1 _9880
_aVelu, G.
_8INT2983
_gGlobal Wheat Program
700 1 _9825
_aSingh, R.P.
_8INT0610
_gGlobal Wheat Program
700 1 _aBraun, H.J.
_gFormerly Global Wheat Program
_8INT0599
_9824
773 0 _dUnited Kingdom : Hapres, 2021.
_gv. 3, no. 2, e210005
_tCrop Breeding, Genetics and Genomics
_x2632-7309
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/21708
942 _2ddc
_cJA
_n0
999 _c64429
_d64421