| 000 | 02665nab a22004097a 4500 | ||
|---|---|---|---|
| 001 | G91453 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919020946.0 | ||
| 008 | 210804t2008 xxu|||p|op||| 00| 0 eng d | ||
| 022 | _a0016-6731 | ||
| 022 | _a1943-2631 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1534/genetics.108.087387 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 090 | _aCIS-5494 | ||
| 100 | 1 |
_aCeron-Rojas, J.J. _91932 |
|
| 245 | 1 | 2 | _aA molecular selection index method based on Eigenanalysis |
| 260 |
_aUSA : _bGenetics Society of America, _c2008. |
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| 340 | _aComputer File|Printed | ||
| 500 | _aPeer review | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1943-2631 | ||
| 520 | _aThe traditional molecular selection index (MSI) employed in marker-assisted selection maximizes the selection response by combining information on molecular markers linked to quantitative trait loci (QTL) and phenotypic values of the traits of the individuals of interest. This study proposes an MSI based on an eigenanalysis method (molecular eigen selection index method, MESIM), where the first eigenvector is used as a selection index criterion, and its elements determine the proportion of the trait's contribution to the selection index. This article develops the theoretical framework of MESIM. Simulation results show that the genotypic means and the expected selection response from MESIM for each trait are equal to or greater than those from the traditional MSI. When several traits are simultaneously selected, MESIM performs well for traits with relatively low heritability. The main advantages of MESIM over the traditional molecular selection index are that its statistical sampling properties are known and that it does not require economic weights and thus can be used in practical applications when all or some of the traits need to be improved simultaneously. | ||
| 536 | _aGenetic Resources Program | ||
| 546 | _aText in English | ||
| 594 | _aCCJL01 | ||
| 650 | 7 |
_2AGROVOC _910737 _aMarker-assisted selection |
|
| 650 | 7 |
_2AGROVOC _99137 _aSelection Index |
|
| 650 | 7 |
_2AGROVOC _91029 _aBreeding |
|
| 700 | 1 |
_aCastillo-González, F. _921790 |
|
| 700 | 1 |
_aSahagún-Castellanos, J. _94103 |
|
| 700 | 1 |
_9682 _aSantacruz-Varela, A. |
|
| 700 | 1 |
_921832 _aBenítez-Riquelme, I. |
|
| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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| 773 | 0 |
_tGenetics _n635396 _gv. 180, no. 1, p. 547-557 _dUSA : Genetics Society of America, 2008. _wG444332 _x0016-6731 |
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| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/309 |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c27328 _d27328 |
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