Evidence map›Paper›PMID 36147234›Full record

ArticleFrontiers in plant science2022

A comprehensive meta-QTL analysis for yield-related traits of durum wheat (

Osvin Arriagada, Agata Gadaleta, Ilaria Marcotuli, Marco Maccaferri, Matteo Campana, Samantha Reveco, Christian Alfaro, Iván Matus, Andrés R Schwember

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Pooled it
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  8. New Breeding Technologies in Grasses.International journal of molecular sciences · 2023
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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.

Osvin ArriagadaDepartamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile.
Agata GadaletaDepartment of Agricultural and Environmental Science, University of Bari Aldo Moro, Bari, Italy.
Ilaria MarcotuliDepartment of Agricultural and Environmental Science, University of Bari Aldo Moro, Bari, Italy.
Marco MaccaferriDepartment of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Matteo CampanaDepartment of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.
Samantha RevecoDepartamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile.
Christian AlfaroCentro Regional Rayentue, Instituto de Investigaciones Agropecuarias (INIA), Rengo, Chile.
Iván MatusCentro Regional Quilamapu, Instituto de Investigaciones Agropecuarias (INIA), Chillán, Chile.
Andrés R SchwemberDepartamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abiotic stress strongly affects yield-related traits in durum wheat, in particular drought is one of the main environmental factors that have effect on grain yield and plant architecture. In order to obtain new genotypes well adapted to stress conditions, the highest number of desirable traits needs to be combined in the same genotype. In this context, hundreds of quantitative trait loci (QTL) have been identified for yield-related traits in different genetic backgrounds and environments. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies for the reliability of their location and effects. MQTL analysis is a useful method to dissect the genetic architecture of complex traits, which provide an extensive allelic coverage, a higher mapping resolution and allow the identification of putative molecular markers useful for marker-assisted selection (MAS). In the present study, a complete and comprehensive MQTL analysis was carried out to identify genomic regions associated with grain-yield related traits in durum wheat under different water regimes. A total of 724 QTL on all 14 chromosomes (genomes A and B) were collected for the 19 yield-related traits selected, of which 468 were reported under rainfed conditions, and 256 under irrigated conditions. Out of the 590 QTL projected on the consensus map, 421 were grouped into 76 MQTL associated with yield components under both irrigated and rainfed conditions, 12 genomic regions containing stable MQTL on all chromosomes except 1A, 4A, 5A, and 6B. Candidate genes associated to MQTL were identified and an

Indexed as

droughtdurum wheatmeta-QTL analysisQTLrainfedyield component

Identifiers

PMID36147234
PMCPMC9486101

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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.