Format
Sort by

Send to

Choose Destination

Search results

Items: 3

1.

Modeling copy number variation in the genomic prediction of maize hybrids.

Lyra DH, Galli G, Alves FC, Granato ÍSC, Vidotti MS, Bandeira E Sousa M, Morosini JS, Crossa J, Fritsche-Neto R.

Theor Appl Genet. 2019 Jan;132(1):273-288. doi: 10.1007/s00122-018-3215-2. Epub 2018 Oct 31.

PMID:
30382311
2.

Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials.

Cuevas J, Granato I, Fritsche-Neto R, Montesinos-Lopez OA, Burgueño J, Bandeira E Sousa M, Crossa J.

G3 (Bethesda). 2018 Mar 28;8(4):1347-1365. doi: 10.1534/g3.117.300454.

3.

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction.

Bandeira E Sousa M, Cuevas J, de Oliveira Couto EG, Pérez-Rodríguez P, Jarquín D, Fritsche-Neto R, Burgueño J, Crossa J.

G3 (Bethesda). 2017 Jun 7;7(6):1995-2014. doi: 10.1534/g3.117.042341.

Supplemental Content

Loading ...
Support Center