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Last update: May 2021

Menu Logo Principal Institut Agro Rennes-Angers Angers University   IRHS

IRHS

Research topics

Stimulating plant defenses in commercial orchards or breeding new resistant apple and pear varieties are operational disease and pest control methods for which we develop upstream research programs. We especially focus on the genetic and molecular determinants of apple and pear resistance to scab (Venturia inaequalis and Venturia pirina), fire blight (Erwinia amylovora), rosy apple aphid (Dysaphis plantaginea) and psylla (Cacopsylla pyri). Integrated defense responses, from perception to induced defenses as well as constitutive defenses are investigated. Durability of resistance factors against V. inaequalis is explored in collaboration with the team EcoFun, taking into account the pathogen variability and its potential evolution. In collaboration with the team QualiPom, genetic diversity of disease resistance and other major traits are explored in germplasm collection, together with the implementation of marker-assisted selection and genomic selection.

Four main interconnected projects are conducted in a continuum of upstream/applied researches:

Plant Resistance Inducers

Plant resistance inducers (PRIs) are defined as any substance, any extract of various organisms, or any non-pathogenic living microorganism able of...
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Genetic architecture of apple and pear resistance to pests

Genetic architecture of apple and pear resistance to pests

The accurate characterization of the genetic architecture of apple and pear resistance to their main pests is useful both to identify the...
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Reconstructing and checking pedigrees

The knowledge of pedigree relationships between cultivars enables both to bring information about breeding history over the past centuries and to...
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The different types of gene editing handled / studied in the ResPom team

Targeted genome engineering has recently emerged as an alternative to classical transgenic methods to achieve functional studies of genes, and to...
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Genomic prediction for apple breeding

Genomic prediction relies on the use of statistical models enabling to identify interesting individuals stemming from crosses at their youngest age,...
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