Approximate genome-based kernel models for large data sets including main effects and interactions
Type:
Title:
Approximate genome-based kernel models for large data sets including main effects and interactions
Creator:
Cuevas, J.;
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
View
Martini, J.W.R.;
Perez-Rodriguez, P.;
Lillemo, M.;
Crossa, J.
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.


View
Martini, J.W.R.;
Perez-Rodriguez, P.;
Lillemo, M.;
Crossa, J.

Year:
2020
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:
11
Article number:
567757
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
Approximate genome-based kernel models for large data sets including main effects and interactions. 2020. 11 DOI: 10.3389/fgene.2020.567757 Frontiers.