000			03134nab a22004217a 4500
999			_c57118 _d57110
001			57118
003			MX-TxCIM
005			20240919021002.0
008			151112s2015 xxu|||p|op||| 00| 0 eng d
022			_a1940-3372
024	8		_ahttps://doi.org/10.3835/plantgenome2014.10.0074
040			_aMX-TxCIM
041			_aeng
100	1		_91933 _aRutkoski, J. _gGlobal Wheat Program _8I1706399
245	1	0	_aGenetic gain from phenotypic and genomic selection for quantitative resistance to stem rust of wheat
260			_aUSA : _bCSSA, _c2015.
500			_aOpen Access
500			_aPeer review
520			_aStem rust of wheat (Triticum aestivum L.) caused by Puccinia graminis f. sp. tritici Eriks. and E. Henn. is a globally important disease that can cause severe yield loss. Breeding for quantitative stem rust resistance (QSRR) is important for developing cultivars with durable resistance. Genomic selection (GS) could increase rates of genetic gain for quantitative traits, but few experiments comparing GS and phenotypic selection (PS) have been conducted. Our objectives were to (i) compare realized gain from GS based on markers only with that of PS for QSRR in spring wheat using equal selection intensities; (ii) determine if gains agree with theoretical expectations; and (iii) compare the impact of GS and PS on inbreeding, genetic variance, and correlated response for pseudo-black chaff (PBC), a correlated trait. Over 2 yr, two cycles of GS were performed in parallel with one cycle of PS, with each method replicated twice. For GS, markers were generated using genotyping-by-sequencing, the prediction model was initially trained using historical data, and the model was updated before the second GS cycle. Overall, GS and PS led to a 31  11 and 42  12% increase in QSRR and a 138  22 and 180  70% increase in PBC, respectively. Genetic gains were not significant but were in agreement with expectations. Per year, gains from GS and PS were equal, but GS led to significantly lower genetic variance. This shows that while GS and PS can lead to equal rates of short-term gains, GS can reduce genetic variance more rapidly. Further work to develop efficient GS implementation strategies in spring wheat is warranted.
536			_aGlobal Wheat Program
546			_aText in English
591			_bCIMMYT Informa No. 1956
594			_aINT0610
594			_aINT2843
594			_aI1706399
650		7	_92091 _aGenetic gain _2AGROVOC
650		7	_aWheat _gAGROVOC _2 _91310
650		7	_91132 _aGenomics _2AGROVOC
700	1		_aSingh, R.P. _gGlobal Wheat Program _8INT0610 _9825
700	1		_aHuerta-Espino, J. _gGlobal Wheat Program _8CHUE01 _9397
700	1		_9867 _aBhavani, S. _8INT2843 _gGlobal Wheat Program
700	1		_92092 _aPoland, J.A.
700	1		_92093 _aJannink, J.L.
700	1		_92094 _aSorrells, M.E.
773	0		_wu94757 _aCrop Science Society of America _x1940-3372 _dMadison, WI (USA) : Crop Science Society of America - CSSA, 2015. _tThe Plant Genome _gv. 8, no. 2, p. 1-10
856	4		_yOpen Access through DSpace _uhttp://hdl.handle.net/10883/16829
942			_2ddc _cJA _n0