000			02898nab a22003377a 4500
001			G95757
003			MX-TxCIM
005			20240919020946.0
008			210806s2011 ii |||p|op||| 00| 0 eng d
022			_a0019-6363
040			_aMX-TxCIM
041			_aeng
090			_aCIS-6484
100	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
245	1	0	_aMulti-trait Multi-environment Genome-wide molecular marker selection indices
260			_aIndia : _bIndian Society of Agricultural Statistics, _c2011.
500			_aPeer review
500			_aPeer-review: No - Open Access: Yes|http://www.isas.org.in/html/journal.html
520			_aMolecular selection indices such as the molecular eigen selection index method (MESIM) and other molecular marker score selection indices maximize the selection response by combining information on molecular markers linked to quantitative trait loci and phenotypic values of the traits. The standard restrictive selection index and the restrictive eigen selection index method (RESIM) maximize the selection response of only some traits while leaving others unchanged. This research extends the MESIM, RESIM, genomewide molecular selection index, and standard restrictive selection index to the case of a multitrait multienvironment genomewide molecular marker selection index. We used simulated data and real data for estimating the performance of various genomewide and molecular marker selection indices. Result showed that, in general, when several traits were selected in various environments simultaneously and all the markers were included in the indices, the multitrait multienvironment genomewide molecular marker selection index increased the genotypic means over the mean of individuals selected by other selection indices. The sampling properties of MESIM and RESIM in the context of multitrait multienvironment genomewide molecular marker selection indices and their selection responses are known, and their estimators showed desirable statistical properties such as consistency and asymptotic unbiasedness. We propose a general procedure for finding the asymptotic statistical sampling properties of the multitrait multienvironment genomewide molecular marker selection index and of the selection indices by applying the theory underlying MESIM and RESIM.
536			_aGenetic Resources Program
546			_aText in English
594			_aCCJL01
595			_aCSC
650		7	_aSelection Index _2AGROVOC _99137
650		7	_aMathematical models _2AGROVOC _93706
650		7	_aGenetic markers _2AGROVOC _91848
700	1		_aCeron-Rojas, J.J., _91932
773	0		_tJournal of the Indian Society of Agricultural Statistics _gv. 65, no. 2, p. 125-142 _dIndia : Indian Society of Agricultural Statistics, 2011. _x0019-6363
856	4		_uhttps://hdl.handle.net/20.500.12665/375 _yAccess only for CIMMYT Staff
942			_cJA _2ddc _n0
999			_c28743 _d28743