ICAR Research Data Repository for Knowledge Management
Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
View Archive Info| Field | Value | |
| Title |
Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
|
|
| Identifier |
https://hdl.handle.net/11529/10887
|
|
| Creator |
Bandeira e Sousa, Massaine
Cuevas, Jaime Oliveira Couto, Evellyn Giselly de Pérez-Rodríguez, Paulino Jarquín, Diego Fritsche-Neto, Roberto Burgueño, Juan Crossa, Jose |
|
| Publisher |
CIMMYT Research Data & Software Repository Network
|
|
| Description |
^^
|
|
| Subject |
Agricultural Sciences
Agricultural research Maize Zea Mays Crop performance Genomic Prediction Genomic Selection Genomic selection models G×E Genotype × Environment interaction Gaussian kernel Grain yield Plant height Ear height Helix Seeds Company University of Sao Paulo Reproducing kernel Hilbert space RNG×E reaction norm genotype × environment interaction model |
|
| Language |
English
|
|
| Contributor |
Shrestha, Rosemary
|
|
| Type |
Phenotypic data
|
|