Detection and use of QTL for complex traits in multiple environments

van Eeuwijk, F. A. and Bink, M. C. and Chenu, K. and et al, . (2010) Detection and use of QTL for complex traits in multiple environments. Current Opinion in Plant Biology, 13 (2). pp. 193-205.

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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.

Item Type: Article
Additional Information: This research has been supported by additional funding from the Generation Challenge Program (projects G3005.04, G4005.20, G2005.7, G4007.09, G4008.14, MBP2.2.1) and previously with support of the GRDC (Grains Research and Development Corporation, Australia). Further support was received from the Netherlands Centre for BioSystems Genomics (projects BB9 and BB12).
Author Affiliation: Biometris, Wageningen University and Research Centre, P.O. Box 100, Wageningen, The Netherlands
Subjects: Plant Physiology and Biochemistry > Plant Physiology
Divisions: General
Depositing User: Mr Siva Shankar
Date Deposited: 07 Aug 2012 08:48
Last Modified: 07 Aug 2012 08:49
Official URL: http://dx.doi.org/10.1016/j.pbi.2010.01.001
URI: http://eprints.icrisat.ac.in/id/eprint/7211

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