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Multiscale phenotyping and decision strategies in breeding for resistance

Authors :
Jonathan Yuen
Serge Savary
Laetitia Willocquet
AGroécologie, Innovations, teRritoires (AGIR)
Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Swedish University of Agricultural Sciences (SLU)
Source :
Trends in Plant Science, Trends in Plant Science, Elsevier, 2017, 22 (5), pp.420-432. ⟨10.1016/j.tplants.2017.01.009⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

Advances in biotechnology have rendered tracking of quantitative trait loci (QTLs) a much easier task, making phenotyping, and not genotyping, the main bottleneck to integrating quantitative host plant resistance into breeding programs. The relevance of phenotyping methods is conditioned by their ability to predict the performance of a genotype at the field scale. Components of resistance represent the keystone hierarchy level between resistance expression in the field (the breeder's scale) and QTLs (the geneticist's scale). We describe approaches for upscaling processes to identify components of resistance that best predict field resistance, and for decision making for selection in breeding programs. We further highlight avenues for future research considering specific processes: disease transmission, defoliation, disease escape, polyetic processes, and interactions between components of resistance.

Details

Language :
English
ISSN :
13601385
Database :
OpenAIRE
Journal :
Trends in Plant Science, Trends in Plant Science, Elsevier, 2017, 22 (5), pp.420-432. ⟨10.1016/j.tplants.2017.01.009⟩
Accession number :
edsair.doi.dedup.....be784fd8df4f2ed7a84461c063f7fb5f
Full Text :
https://doi.org/10.1016/j.tplants.2017.01.009⟩