Partial least squares enhances genomic prediction of new environments
Type:
Title:
Partial least squares enhances genomic prediction of new environments
Creator:
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
View
Montesinos-López, A.;
Kismiantini;
Roman-Gallardo, A.;
Gardner, K.A.;
Lillemo, M.;
Fritsche-Neto, R.;
https://orcid.org/0000-0003-4310-0047
URL Profile
http://www.genetica.esalq.usp.br/alogamas/index2.html Items in this Repository
View
Crossa, J.
Montesinos-Lopez, O.A.


View
Montesinos-López, A.;
Kismiantini;
Roman-Gallardo, A.;
Gardner, K.A.;

Lillemo, M.;
Fritsche-Neto, R.;
Fritsche-Neto, R.

http://www.genetica.esalq.usp.br/alogamas/index2.html Items in this Repository
View
Crossa, J.

Year:
2022
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
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.