000			03057nab a22004697a 4500
001			G76950
003			MX-TxCIM
005			20240919021145.0
008			210903s2003 xxu|||p|op||| 00| 0 eng d
022			_a1435-0653 (Online)
024	8		_ahttps://doi.org/10.2135/cropsci2003.1764
040			_aMX-TxCIM
041			_aeng
072		0	_aF30
072		0	_aU30
090			_aCIS-3748
100	1		_9842 _aJiankang Wang _gGenetic Resources Program _8INT2542
245	1	0	_aComparison of Two Breeding Strategies by Computer Simulation
260			_aUSA : _bCSSA : _bWiley, _c2003.
340			_aComputer File
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0011-183X
520			_aBreeding strategies used by plant breeders are many and varied, making it difficult to compare efficiencies of different breeding strategies through field experimentation. The objective of this paper was to compare, through computer simulation, two widely used breeding strategies, the modified pedigree/bulk selection method (MODPED) and the selected bulk selection method (SELBLK), in CIMMYT's wheat breeding program. The genetic models developed accounted for epistasis, pleiotropy, and genotype × environment (GE) interaction. The simulation experiment comprised the same 1000 crosses, developed from 200 parents, for both breeding strategies. A total of 258 advanced lines remained following 10 generations of selection. The two strategies were each applied 500 times on 12 GE systems. Findings indicated that genetic gain from SELBLK was on average 3.9% higher than that from MODPED, and genetic gain adjusted by target genotypes from SELBLK was on average 3.3% higher than MODPED for a wide range of genetic models. A greater proportion of crosses were retained (25% more) by means of SELBLK compared with MODPED, and from F1 to F8, SELBLK required one third less land than MODPED and produced fewer families (40% of the number for MODPED). For the genetic models considered in our study, computer simulations showed that the SELBLK method resulted in slightly greater genetic gain and significant improvements in cost effectiveness.
536			_aGenetic Resources Program
546			_aText in English
591			_a0309|Crop Science Society of America (CSSA)|AL-Wheat Program
594			_aINT2542
650		7	_aPlant breeding _gAGROVOC _2 _91203
650		7	_94739 _aComputer applications _2AGROVOC
650		7	_99058 _aGene Interaction _2AGROVOC
700	1		_aGinkel, M. Van _997
700	1		_aPodlich, D. _920341
700	0		_aGuoyou Ye _920340
700	1		_9341 _aTrethowan, R.M.
700	1		_9648 _aPfeiffer, W.H.
700	1		_91427 _aDeLacy, I.H.
700	1		_96595 _aCooper, M.
700	1		_9661 _aRajaram, S.
773	0		_tCrop Science _n632384 _gv. 43, no. 5, p. 1764-1773 _dUSA : CSSA : Wiley, 2003. _wG444244 _x1435-0653
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/1304
942			_cJA _2ddc _n0
999			_c23052 _d23052