Detection and use of QTL for complex traits in multiple environments

van Eeuwijk, Fred A., Bink, Marco C.A.M., Chenu, Karine and Chapman, Scott C. (2010) Detection and use of QTL for complex traits in multiple environments. Current Opinion in Plant Biology, 13 2: 193-205. doi:10.1016/j.pbi.2010.01.001


Author van Eeuwijk, Fred A.
Bink, Marco C.A.M.
Chenu, Karine
Chapman, Scott C.
Title Detection and use of QTL for complex traits in multiple environments
Journal name Current Opinion in Plant Biology   Check publisher's open access policy
ISSN 1369-5266
Publication date 2010-04-01
Year available 2010
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.pbi.2010.01.001
Open Access Status DOI
Volume 13
Issue 2
Start page 193
End page 205
Total pages 13
Place of publication London, England, U.K.
Publisher Elsevier Ltd.
Language eng
Abstract 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.
Keyword Model Selection Approach
Chain Monte-carlo
Mixed-model
Water-deficit
Leaf Growth
Experimental Crosses
Quantitative Traits
Plant-populations
Breeding Program
Flanking Markers
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID G3005.04
13119
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Non HERDC
School of Agriculture and Food Sciences
 
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