Evidence map›Paper›PMID 38634690›Full record

ReviewJournal of experimental botany2024

Dare to be resilient: the key to future pesticide-free orchards?

Marie Serrie, Fabienne Ribeyre, Laurent Brun, Jean-Marc Audergon, Bénédicte Quilot, Morgane Roth

Abstract readReview
In one paragraph

Review in Journal of experimental botany, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marie SerrieINRAE, UR GAFL, Avignon, France.ORCID 0000-0002-0802-6382
Fabienne RibeyreCIRAD, UMR PHIM, Montpellier, France.ORCID 0000-0001-9721-1485
Laurent BrunINRAE, UERI Gotheron, Saint-Marcel-Lès-Valence, France.ORCID 0000-0002-9261-2666
Jean-Marc AudergonINRAE, UR GAFL, Avignon, France.ORCID 0000-0002-3132-5815
Bénédicte QuilotINRAE, UR GAFL, Avignon, France.ORCID 0000-0003-4095-1399
Morgane RothINRAE, UR GAFL, Avignon, France.ORCID 0000-0002-5244-4215

Funding

Agropolis Fundation
6 · The paper itself

Abstract

Considering the urgent need for more sustainable fruit tree production, it is high time to find durable alternatives to the systematic use of phytosanitary products in orchards. To this end, resilience can deliver a number of benefits. Relying on a combination of tolerance, resistance, and recovery traits, disease resilience appears as a cornerstone to cope with the multiple pest and disease challenges over an orchard's lifetime. Here, we describe resilience as the capacity of a tree to be minimally affected by external disturbances or to rapidly bounce back to normal functioning after being exposed to these disturbances. Based on a literature survey largely inspired from research on livestock, we highlight different approaches for dissecting phenotypic and genotypic components of resilience. In particular, multisite experimental designs and longitudinal measures of so-called 'resilience biomarkers' are required. We identified a list of promising biomarkers relying on ecophysiological and digital measurements. Recent advances in high-throughput phenotyping and genomics tools will likely facilitate fine scale temporal monitoring of tree health, allowing identification of resilient genotypes with the calculation of specific resilience indicators. Although resilience could be considered as a 'black box' trait, we demonstrate how it could become a realistic breeding goal.

Indexed as

TreesPesticidesPhenotypePlant DiseasesPesticidesBiomarkersbreedingdisease resiliencefruit treepesticide reductionpests and diseasessustainability

Identifiers

PMID38634690
PMCPMC11233412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.