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Partial least squares enhances genomic prediction of new environments


Type:
Article
Title:
Partial least squares enhances genomic prediction of new environments
Creator:
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Montesinos-Lopez, A.;
Kismiantini;
Kismiantini
ORCID iD iconhttps://orcid.org/0000-0002-6105-7647
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Roman-Gallardo, A.;
Gardner, K.A.;
ORCID iD icon
Gardner, K.A.
ORCID iD iconhttps://orcid.org/0000-0002-4890-301X
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Lillemo, M.;
Lillemo, M.
ORCID iD iconhttps://orcid.org/0000-0002-8594-8794
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Fritsche-Neto, R.;
Fritsche-Neto, R.
ORCID iD iconhttps://orcid.org/0000-0003-4310-0047
URL Profile
http://www.genetica.esalq.usp.br/alogamas/index2.html
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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/10883/22289
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:
Frontiers in Genetics
Journal volume:
13
Article number:
920689
DOI:
10.3389/fgene.2022.920689
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
Partial least squares enhances genomic prediction of new environments. 2022. 13 DOI: 10.3389/fgene.2022.920689 Frontiers.

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