000 02793nab a22003497a 4500
999 _c59863
_d59855
001 59863
003 MX-TxCIM
005 20240919020950.0
008 181205s2018||||xxu|||p|op||||00||0|eng|d
024 8 _ahttps://doi.org/10.3835/plantgenome2018.02.0013
040 _aMX-TxCIM
041 _aeng
100 1 _aMontesinos-Lopez, O.A.
_8I1706800
_92700
_gGenetic Resources Program
245 1 0 _aAn R package for multitrait and multienvironment data with the Item-based collaborative filtering algorithm
260 _c2018.
_aMadison, U.S. :
_bCrop Science Society of America,
500 _aPeer review
500 _aOpen Access
520 _aThe Item-Based Collaborative Filtering for Multitrait and Multienvironment Data (IBCF.MTME) package was developed to implement the item-based collaborative filtering (IBCF) algorithm for continuous phenotypic data in the context of plant breeding where data are collected for various traits and environments. The main difference between this package and the other available packages that can implement IBCF is that this one was developed for continuous phenotypic data, which cannot be implemented in the current packages because they can implement IBCF only for binary and ordinary phenotypes. In the following article, we will show how to both install the package and use it for studying the prediction accuracy of multitrait and multienvironment data under phenotypic and genomic selection. We illustrate its use with seven examples (with information from two datasets, Wheat_IBCF and Year_IBCF, which are included in the package) comprising multienvironment data, multitrait data, and both multitrait and multienvironment data that cover scenarios in which breeding scientists are interested. The package offers many advantages for studying the genomic-enabled prediction accuracy of multitrait and multienvironment data, ultimately helping plant breeders make better decisions.
546 _aText in English
591 _aMontesinos-Lopez, O.A. : Non-active scientist
650 7 _aGenomics
_2AGROVOC
_91132
650 7 _aFiltration
_2AGROVOC
_98212
650 7 _aWheat
_gAGROVOC
_2
_91310
700 1 _97662
_aLuna-Vazquez, F.J.
700 1 _92702
_aMontesinos-Lopez, A.
700 1 _aJULIANA P.
_8001710082
_gFormerly ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Global Wheat Program
_gFormerly BISA
_92690
700 1 _aSingh, R.P.
_gGlobal Wheat Program
_8INT0610
_9825
700 1 _aCrossa, J.
_gGenetic Resources Program
_8CCJL01
_959
773 0 _gv. 11, no. 3, art. 180013
_d2018
_x1940-3372
_tPlant Genome
_wu94757
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/19826
942 _cJA
_n0
_2ddc