Title
Multi-environment multi-QTL association mapping identifies disease resistance QTL in barley germplasm from Latin America
Date Issued
01 March 2015
Access level
metadata only access
Resource Type
journal article
Author(s)
Gutiérrez L.
Germán S.
Pereyra S.
Hayes P.M.
Pérez C.A.
Capettini F.
Locatelli A.
Berberian N.M.
Falconi E.E.
Fros D.
Altamirano H.
Huerta-Espino J.
Sandoval-Islas S.
Singh R.
Turkington K.
Castro A.J.
Universidad Peruana Cayetano Heredia
Universidad Peruana Cayetano Heredia
Abstract
Key message: Multi-environment multi-QTL mixed models were used in a GWAS context to identify QTL for disease resistance. The use of mega-environments aided the interpretation of environment-specific and general QTL.
Start page
501
End page
516
Volume
128
Issue
3
Language
English
OCDE Knowledge area
Genética, Herencia Ciencias de las plantas, Botánica
Scopus EID
2-s2.0-84925500105
PubMed ID
Source
Theoretical and Applied Genetics
ISSN of the container
00405752
Source funding
Universidad de la República Uruguay
FONTAGRO
Comisión Sectorial de Investigación Científica
Source project
Project FTG 0617-06
Sources of information: Directorio de Producción Científica Scopus