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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
245 1 2 _aA Bayesian optimization R package for multitrait parental selection
260 _bJohn Wiley and Sons Inc,,
_c2024.
_aUnited States of America :
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
650 7 _2AGROVOC
_910737
_aMarker-assisted selection
650 7 _2AGROVOC
_921704
_aBreeding programmes
650 7 _2AGROVOC
_94586
_aDatabases
700 1 _aDreisigacker, S.
_8INT2692
_9851
_gGlobal Wheat Program
700 1 _aCrespo-Herrera, L.A.
_8I1706538
_92608
_gGlobal Wheat Program
700 1 _aPerez-Rodriguez, P.
_92703
700 1 _aPerez-Elizalde, S.
_94434
700 1 _aToledo, F.H.
_8I1706676
_91999
_gGenetic Resources Program
700 1 _aCrossa, J.
_gGenetic Resources Program
_8CCJL01
_959
773 0 _tThe Plant Genome
_dUnited States of America : John Wiley & Sons Inc., 2024
_ge20433
_x1940-3372
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/23095
942 _cJA
_n0
_2ddc
999 _c67286
_d67278