Detection and use of QTL for complex traits in multiple environments.


Autoria(s): van Eeeuwijk, F.A.; CAM Bink, M.; Chenu, K.; Chapman, S.C.
Data(s)

2010

Resumo

QTL mapping methods for complex traits are challenged by new developments in marker technology, phenotyping platforms, and breeding methods. In meeting these challenges, QTL mapping approaches will need to also acknowledge the central roles of QTL by environment interactions (QEI) and QTL by trait interactions in the expression of complex traits like yield. This paper presents an overview of mixed model QTL methodology that is suitable for many types of populations and that allows predictive modeling of QEI, both for environmental and developmental gradients. Attention is also given to multi-trait QTL models which are essential to interpret the genetic basis of trait correlations. Biophysical (crop growth) model simulations are proposed as a complement to statistical QTL mapping for the interpretation of the nature of QEI and to investigate better methods for the dissection of complex traits into component traits and their genetic controls.

Identificador

van Eeeuwijk, F.A. and CAM Bink, M. and Chenu, K. and Chapman, S.C. (2010) Detection and use of QTL for complex traits in multiple environments. Current Opinion in Plant Biology, 13 (2). pp. 193-205. ISSN 1369-5266

http://era.daf.qld.gov.au/1686/

Publicador

Elsevier

Relação

http://dx.doi.org/10.1016/j.pbi.2010.01.001

http://era.daf.qld.gov.au/1686/

Palavras-Chave #Quantitative genetics (esp. Quantitative Trait Loci (QTL) articles) #Plant culture #Simulation modelling
Tipo

Article

PeerReviewed