000 | 03472nab a22004457a 4500 | ||
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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 |
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040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_aDreisigacker, S. _gGlobal Wheat Program _8INT2692 _9851 |
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245 | 1 | 0 | _aImplementation of genomic selection in the CIMMYT Global Wheat Program, findings from the past 10 years |
260 |
_aUnited Kingdom : _bHapres, _c2021. |
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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 |
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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 |
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650 | 7 |
_2AGROVOC _94859 _aModels |
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650 | 7 |
_2AGROVOC _91310 _aWheat |
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700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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700 | 1 |
_92703 _aPerez-Rodriguez, P. |
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700 | 1 |
_92700 _aMontesinos-Lopez, O.A. _8I1706800 _gGenetic Resources Program |
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700 | 1 |
_94557 _aRosyara, U. _8I1707470 _gGlobal Wheat Program |
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700 | 1 |
_aJULIANA P. _8001710082 _gFormerly Global Wheat Program _gFormerly BISA _92690 |
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700 | 1 |
_aMondal, S. _gFormerly Global Wheat Program _8INT3211 _9904 |
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700 | 1 |
_92608 _aCrespo-Herrera, L.A. _8I1706538 _gGlobal Wheat Program |
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700 | 1 |
_9880 _aVelu, G. _8INT2983 _gGlobal Wheat Program |
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700 | 1 |
_9825 _aSingh, R.P. _8INT0610 _gGlobal Wheat Program |
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700 | 1 |
_aBraun, H.J. _gFormerly Global Wheat Program _8INT0599 _9824 |
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773 | 0 |
_dUnited Kingdom : Hapres, 2021. _gv. 3, no. 2, e210005 _tCrop Breeding, Genetics and Genomics _x2632-7309 |
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856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/21708 |
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942 |
_2ddc _cJA _n0 |
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999 |
_c64429 _d64421 |