Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/93950
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Type: Journal article
Title: Combining field performance with controlled environment plant imaging to identify the genetic control of growth and transpiration underlying yield response to water-deficit stress in wheat
Author: Parent, B.
Shahinnia, F.
Maphosa, L.
Berger, B.
Rabie, H.
Chalmers, K.
Kovalchuk, A.
Langridge, P.
Fleury, D.
Citation: Journal of Experimental Botany, 2015; 66(18):5481-5492
Publisher: Oxford University Press (OUP)
Issue Date: 2015
ISSN: 1460-2431
1460-2431
Statement of
Responsibility: 
Boris Parent, Fahimeh Shahinnia, Lance Maphosa, Bettina Berger, Huwaida Rabie, Ken Chalmers, Alex Kovalchuk, Peter Langridge, and Delphine Fleury
Abstract: Crop yield in low-rainfall environments is a complex trait under multigenic control that shows significant genotype×environment (G×E) interaction. One way to understand and track this trait is to link physiological studies to genetics by using imaging platforms to phenotype large segregating populations. A wheat population developed from parental lines contrasting in their mechanisms of yield maintenance under water deficit was studied in both an imaging platform and in the field. We combined phenotyping methods in a common analysis pipeline to estimate biomass and leaf area from images and then inferred growth and relative growth rate, transpiration, and water-use efficiency, and applied these to genetic analysis. From the 20 quantitative trait loci (QTLs) found for several traits in the platform, some showed strong effects, accounting for between 26 and 43% of the variation on chromosomes 1A and 1B, indicating that the G×E interaction could be reduced in a controlled environment and by using dynamic variables. Co-location of QTLs identified in the platform and in the field showed a possible common genetic basis at some loci. Co-located QTLs were found for average growth rate, leaf expansion rate, transpiration rate, and water-use efficiency from the platform with yield, spike number, grain weight, grain number, and harvest index in the field. These results demonstrated that imaging platforms are a suitable alternative to field-based screening and may be used to phenotype recombinant lines for positional cloning.
Keywords: Triticum aestivum; Drought; Lemnatec; QTL; leaf expansion; water-use efficiency.
Rights: © The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0030032006
DOI: 10.1093/jxb/erv320
Appears in Collections:Agriculture, Food and Wine publications

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