000 | 02773nab|a22004097a|4500 | ||
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001 | 67286 | ||
003 | MX-TxCIM | ||
005 | 20241126104231.0 | ||
008 | 20241s2024||||mx |||p|op||||00||0|eng|d | ||
022 | _a1940-3372 (Online) | ||
024 | 8 | _ahttps://doi.org/10.1002/tpg2.20433 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_aVillar-Hernandez, B.d.J. _97952 |
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245 | 1 | 2 | _aA Bayesian optimization R package for multitrait parental selection |
260 |
_bJohn Wiley and Sons Inc,, _c2024. _aUnited States of America : |
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500 | _aPeer review | ||
500 | _aOpen Access | ||
500 | _aEarly view | ||
520 | _aSelecting and mating parents in conventional phenotypic and genomic selection are crucial. Plant breeding programs aim to improve the economic value of crops, considering multiple traits simultaneously. When traits are negatively correlated and/or when there are missing records in some traits, selection becomes more complex. To address this problem, we propose a multitrait selection approach using the Multitrait Parental Selection (MPS) R package—an efficient tool for genetic improvement, precision breeding, and conservation genetics. The package employs Bayesian optimization algorithms and three loss functions (Kullback–Leibler, Energy Score, and Multivariate Asymmetric Loss) to identify parental candidates with desirable traits. The software's functionality includes three main functions—EvalMPS, FastMPS, and ApproxMPS—catering to different data availability scenarios. Through the presented application examples, the MPS R package proves effective in multitrait genomic selection, enabling breeders to make informed decisions and achieve strong performance across multiple traits. | ||
546 | _aText in English | ||
650 | 7 |
_2AGROVOC _94013 _aBayesian theory |
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650 | 7 |
_2AGROVOC _910737 _aMarker-assisted selection |
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650 | 7 |
_2AGROVOC _921704 _aBreeding programmes |
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650 | 7 |
_2AGROVOC _94586 _aDatabases |
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700 | 1 |
_aDreisigacker, S. _8INT2692 _9851 _gGlobal Wheat Program |
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700 | 1 |
_aCrespo-Herrera, L.A. _8I1706538 _92608 _gGlobal Wheat Program |
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700 | 1 |
_aPerez-Rodriguez, P. _92703 |
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700 | 1 |
_aPerez-Elizalde, S. _94434 |
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700 | 1 |
_aToledo, F.H. _8I1706676 _91999 _gGenetic Resources Program |
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700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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773 | 0 |
_tThe Plant Genome _dUnited States of America : John Wiley & Sons Inc., 2024 _ge20433 _x1940-3372 |
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856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/23095 |
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942 |
_cJA _n0 _2ddc |
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999 |
_c67286 _d67278 |