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

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

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Article Link(s): http://dx.doi.org/10.1016/j.pbi.2010.01.001

Publisher URL: http://www.elsevier.com

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
Corporate Creators:Department of Employment, Economic Development and Innovation (DEEDI), Agri-Science, Crop and Food Science, QPIF
Business groups:Agri-Science, Crop and Food Science
Additional Information:© Crown Copyright. © Elsevier.
Keywords:Quantitative trait loci (QTL) mapping methods; marker technology; phenotyping platforms; breeding; Model selection approach; mixed model; water deficit; leaf growth; experimental crosses; plant populations.
Subjects:Science > Biology > Genetics > Quantitative genetics (esp. Quantitative Trait Loci (QTL) articles)
Plant culture
Science > Statistics > Simulation modelling
Deposited On:24 May 2010 02:33
Last Modified:07 Jun 2015 15:09

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