000			02902nam a22003017a 4500
001			69660
003			MX-TxCIM
005			20251203103939.0
008			251202s2025 -uk||||| |||| 00| 0 eng d
040			_aMX-TxCIM
041			_aeng
100	1		_aWeber, S.E. _940795
245	1	0	_a63. CrossingTools : _ban R package for mating optimization in plant breeding
260			_aEdinburgh (CIMMYT) : _bEUCARPIA Biometrics in Plant Breeding Local Organising Committee, _c2025.
300			_a1 page
500			_aPresented at XIX Conference 2025, EUCARPIA: Biometrics Plant Breeding, 17-19 Sep, Edinburgh, UK.
520			_aMate allocation is a critical component of plant breeding programs, which aims to generate superior progenies and improved populations over time. While numerous methodologies for mate allocation exist, few software tools offer a unified and scalable framework that integrates these keymethodologies in a user-friendly manner. CrossingTools addresses this gap by providing a flexible, efficient solution for optimizing mating decisions across a wide range of breeding schemes. The package supports genomic BLUP and selection indices for a wide range of variance structures and implements a variety of selection criteria to evaluate the potential of a cross, including the expected mean, optimal haploid value and the superior progeny value. For the latter, different methods to calculate the additive and dominance segregation variances for both inbred and heterozygote parents are implemented, which makes CrossingTools well-suited to any breeding scheme. After criteria calculation, the user can ran all potential crosses based on the selected criterion or apply CrossingTools’ optimal crossing selection routine, which balances genetic gain and genetic diversity to support long-term improvement. The package is implemented within the R statistical environment using C++ subroutines, allowing a user-friendly scripting language while ensuring high computational performance and scalability for large populations with dense marker data. The flexibility and utility of CrossingTools are demonstrated through simulation studies comparing different selection criteria in both classical line breeding programs and two-part breeding schemes.
546			_aText in English
600			_2
650		7	_aCross-breeding _2AGROVOC _926603
650		7	_aPlant breeding _2AGROVOC _91203
650		7	_aGenetic gain _2AGROVOC _92091
700	1		_aTolhurst, D.J. _919215
700	1		_aWaters, D.L. _940796
700	1		_8001712518 _aWerner, C.R. _gExcellence in Breeding _gBreeding Modernization and Innovation Platform _926661
773			_dEdinburgh (United Kingdom) : EUCARPIA Biometrics in Plant Breeding Local Organising Committee, 2025. _gp. 140 _tXIX Conference 2025 EUCARPIA, Biometrics In plant breeding, 17-19 Sep 2025 Edinburgh, UK. : Book of abstracts _w69661
942			_2ddc _cCPA _n0
999			_c69660 _d69652