Evidence map›Paper›PMID 35023155›Full record

ArticleThe New phytologist2022

Tree architecture, light interception and water-use related traits are controlled by different genomic regions in an apple tree core collection.

Aude Coupel-Ledru, Benoît Pallas, Magalie Delalande, Vincent Segura, Baptiste Guitton, Hélène Muranty, Charles-Eric Durel, Jean-Luc Regnard, Evelyne Costes

Abstract read
In one paragraph

Article in The New phytologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

9 authors.

Aude Coupel-LedruAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.ORCID 0000-0003-2097-5924
Benoît PallasAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.ORCID 0000-0002-4439-7674
Magalie DelalandeAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.ORCID 0000-0003-0876-0170
Vincent SeguraAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.ORCID 0000-0003-1860-2256
Baptiste GuittonAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.
Hélène MurantyIRHS, SFR QuaSaV, Université d'Angers, Institut Agro, INRAE, 49000, Angers, France.ORCID 0000-0003-3956-3807
Charles-Eric DurelIRHS, SFR QuaSaV, Université d'Angers, Institut Agro, INRAE, 49000, Angers, France.ORCID 0000-0003-3856-2837
Jean-Luc RegnardAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.ORCID 0000-0001-8614-0618
Evelyne CostesAGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398, Montpellier, France.ORCID 0000-0002-4848-2745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tree architecture shows large genotypic variability, but how this affects water-deficit responses is poorly understood. To assess the possibility of reaching ideotypes with adequate combinations of architectural and functional traits in the face of climate change, we combined high-throughput field phenotyping and genome-wide association studies (GWAS) on an apple tree (Malus domestica) core-collection. We used terrestrial light detection and ranging (T-LiDAR) scanning and airborne multispectral and thermal imagery to monitor tree architecture, canopy shape, light interception, vegetation indices and transpiration on 241 apple cultivars submitted to progressive field soil drying. GWAS was performed with single nucleotide polymorphism (SNP)-by-SNP and multi-SNP methods. Large phenotypic and genetic variability was observed for all traits examined within the collection, especially canopy surface temperature in both well-watered and water deficit conditions, suggesting control of water loss was largely genotype-dependent. Robust genomic associations revealed independent genetic control for the architectural and functional traits. Screening associated genomic regions revealed candidate genes involved in relevant pathways for each trait. We show that multiple allelic combinations exist for all studied traits within this collection. This opens promising avenues to jointly optimize tree architecture, light interception and water use in breeding strategies. Genotypes carrying favourable alleles depending on environmental scenarios and production objectives could thus be targeted.

Indexed as

MalusGenome-Wide Association StudyGenomicsPhenotypePlant BreedingPolymorphism, Single NucleotideTreesWaterWatercandidate genesGWAShigh-throughput field phenotypinglight interceptionMalus domesticathermal imagingT-LiDARtree architecture

Identifiers

PMID35023155
PMCPMC9305758

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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.