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Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding


Type:
Article
Title:
Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding
Creator:
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Gonzalez, H.N.;
Montesinos-Lopez, A.;
Daza-Torres, M.;
Lillemo, M.;
Lillemo, M.
ORCID iD iconhttps://orcid.org/0000-0002-8594-8794
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Montesinos-Lopez, J.C.;
Montesinos-Lopez, J.C.
ORCID iD iconhttps://orcid.org/0000-0001-5017-6192
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Crossa, J.
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Year:
2022
URI:
https://hdl.handle.net/10883/22081
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Plant Genome
Journal volume:
15
Journal issue:
3
DOI:
10.1002/tpg2.20214
Place of Publication:
Madison, WI (USA)
Publisher:
Wiley
Citation:
Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding. 2022. 15 (3) DOI: 10.1002/tpg2.20214 Wiley.

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  • Genetic Resources

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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