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Multiscale phenotyping and decision strategies in breeding for resistance
- 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.
- Subjects :
- 0106 biological sciences
0301 basic medicine
résistance aux maladies
Genotype
[SDV]Life Sciences [q-bio]
Quantitative Trait Loci
Plant Science
Computational biology
Breeding
Biology
Plant disease resistance
Quantitative trait locus
01 natural sciences
Bottleneck
03 medical and health sciences
phénotypage
Selection (genetic algorithm)
Disease Resistance
Plant Diseases
Resistance (ecology)
business.industry
Scale (chemistry)
food and beverages
sustainable resistance
Geneticist
élevage
Biotechnology
resistance to diseases
Phenotype
030104 developmental biology
loci
business
résistance durable
Disease transmission
010606 plant biology & botany
Subjects
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⟩