000			02551nab|a22003737a|4500
001			66266
003			MX-TxCIM
005			20240919020955.0
008			20231s2023||||mx |||p|op||||00||0|eng|d
022			_a1664-8021 (Online)
024	8		_ahttps://doi.org/10.3389/fgene.2023.1124218
040			_aMX-TxCIM
041			_aeng
100	1		_aMontesinos-Lopez, O.A. _8I1706800 _92700 _gGenetic Resources Program
245	1	0	_aGenomics combined with UAS data enhances prediction of grain yield in winter wheat
260			_bFrontiers Media, _c2023. _aSwitzerland :
500			_aPeer review
500			_aOpen Access
520			_aWith the human population continuing to increase worldwide, there is pressure to employ novel technologies to increase genetic gain in plant breeding programs that contribute to nutrition and food security. Genomic selection (GS) has the potential to increase genetic gain because it can accelerate the breeding cycle, increase the accuracy of estimated breeding values, and improve selection accuracy. However, with recent advances in high throughput phenotyping in plant breeding programs, the opportunity to integrate genomic and phenotypic data to increase prediction accuracy is present. In this paper, we applied GS to winter wheat data integrating two types of inputs: genomic and phenotypic. We observed the best accuracy of grain yield when combining both genomic and phenotypic inputs, while only using genomic information fared poorly. In general, the predictions with only phenotypic information were very competitive to using both sources of information, and in many cases using only phenotypic information provided the best accuracy. Our results are encouraging because it is clear we can enhance the prediction accuracy of GS by integrating high quality phenotypic inputs in the models.
546			_aText in English
591			_aMontesinos-Lopez, O.A. : No CIMMYT Affiliation
650		7	_aGenomics _2AGROVOC _91132
650		7	_aGrain _2AGROVOC _91138
650		7	_aYields _2AGROVOC _91313
650		7	_aPhenotypes _2AGROVOC _93634
650		7	_aWinter wheat _2AGROVOC _92104
650		7	_aMarker-assisted selection _2AGROVOC _910737
700	1		_aHerr, A.W. _930793
700	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
700	1		_aCarter, A. _926194
773	0		_tFrontiers in Genetics _gv. 14, art. 1124218 _dSwitzerland : Frontiers Media, 2023 _w58093 _x1664-8021
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22582
942			_cJA _n0 _2ddc
999			_c66266 _d66258