Evidence map›Paper›PMID 35053148›Full record

ReviewBiology2022

Breeding for Economically and Environmentally Sustainable Wheat Varieties: An Integrated Approach from Genomics to Selection.

Etienne Paux, Stéphane Lafarge, François Balfourier, Jérémy Derory, Gilles Charmet, Michael Alaux, Geoffrey Perchet, Marion Bondoux, Frédéric Baret, Romain Barillot and 4 more

Abstract readReview
In one paragraph

Review in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

14 authors.

Etienne PauxUMR GDEC Genetics, Diversity & Ecophysiology of Cereals, INRAE-Université Clermont-Auvergne, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.ORCID 0000-0002-3094-7129
Stéphane LafargeLimagrain, Chappes Research Center, Route d'Ennezat, 63720 Chappes, France.
François BalfourierUMR GDEC Genetics, Diversity & Ecophysiology of Cereals, INRAE-Université Clermont-Auvergne, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.
Jérémy DeroryLimagrain, Chappes Research Center, Route d'Ennezat, 63720 Chappes, France.ORCID 0000-0002-0543-1278
Gilles CharmetUMR GDEC Genetics, Diversity & Ecophysiology of Cereals, INRAE-Université Clermont-Auvergne, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.
Michael AlauxUniversité Paris-Saclay-INRAE, URGI, 78026 Versailles, France.ORCID 0000-0001-9356-4072
Geoffrey PerchetVegepolys Valley, Maison du Végétal, 26 Rue Jean Dixmeras, 49066 Angers, France.
Marion BondouxINRAE-Transfert, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.
Frédéric BaretUMR EMMAH, INRAE-Université d'Avignon et des Pays de Vaucluse, 84914 Avignon, France.
Romain BarillotINRAE, URP3F, 86600 Lusignan, France.ORCID 0000-0002-9956-9103
Catherine RavelUMR GDEC Genetics, Diversity & Ecophysiology of Cereals, INRAE-Université Clermont-Auvergne, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.
Pierre SourdilleUMR GDEC Genetics, Diversity & Ecophysiology of Cereals, INRAE-Université Clermont-Auvergne, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.ORCID 0000-0002-1027-2224
Jacques Le GouisUMR GDEC Genetics, Diversity & Ecophysiology of Cereals, INRAE-Université Clermont-Auvergne, 5, Chemin de Beaulieu, 63000 Clermont-Ferrand, France.ORCID 0000-0001-5726-4902
On Behalf Of The Breedwheat Consortium

Funding

Agence Nationale de la Recherche ANR-10-BTBR-03Agence Nationale de la Recherche ANR-11-INBS-012FranceAgrimer 2013-0544French fund to support breeding research (FSOV) FSOV-2012D
6 · The paper itself

Abstract

There is currently a strong societal demand for sustainability, quality, and safety in bread wheat production. To address these challenges, new and innovative knowledge, resources, tools, and methods to facilitate breeding are needed. This starts with the development of high throughput genomic tools including single nucleotide polymorphism (SNP) arrays, high density molecular marker maps, and full genome sequences. Such powerful tools are essential to perform genome-wide association studies (GWAS), to implement genomic and phenomic selection, and to characterize the worldwide diversity. This is also useful to breeders to broaden the genetic basis of elite varieties through the introduction of novel sources of genetic diversity. Improvement in varieties particularly relies on the detection of genomic regions involved in agronomical traits including tolerance to biotic (diseases and pests) and abiotic (drought, nutrient deficiency, high temperature) stresses. When enough resolution is achieved, this can result in the identification of candidate genes that could further be characterized to identify relevant alleles. Breeding must also now be approached through in silico modeling to simulate plant development, investigate genotype × environment interactions, and introduce marker-trait linkage information in the models to better implement genomic selection. Breeders must be aware of new developments and the information must be made available to the world wheat community to develop new high-yielding varieties that can meet the challenge of higher wheat production in a sustainable and fluctuating agricultural context. In this review, we compiled all knowledge and tools produced during the BREEDWHEAT project to show how they may contribute to face this challenge in the coming years.

Indexed as

diversitygenomic selectionhigh throughput phenotypingmolecular toolsTriticum aestivumwheatwheat breedingwheat database

Identifiers

PMID35053148
PMCPMC8773325

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.