Evidence map›Paper›PMID 29324803›Full record

ArticlePloS one2018

Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats.

Giacomo Mangini, Agata Gadaleta, Pasqualina Colasuonno, Ilaria Marcotuli, Antonio M Signorile, Rosanna Simeone, Pasquale De Vita, Anna M Mastrangelo, Giovanni Laidò, Nicola Pecchioni and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
13.2field-weighted citation impact, top 1% of its field
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

46 citing papers in PubMed, 69 citations in OpenAlex.

  1. Genome-wide association studies reveal genomic regions for kernel-related traits in durum wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  17. Phenotypic evolution in durum wheat (Frontiers in plant science · 2023
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  20. Genome-Wide Association Analysis for Hybrid Breeding in Wheat.International journal of molecular sciences · 2022
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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

11 authors at 2 institutions in 1 country.

Giacomo ManginiDepartment of Soil, Plant & Food Sciences, Genetics and Plant Breeding Section, University Aldo Moro, Bari, Italy.
Agata GadaletaDepartment of Agricultural & Environmental Science, Research Unit of "Genetics and Plant Biotechnology", University Aldo Moro, Bari, Italy.ORCID 0000-0002-6312-249X
Pasqualina ColasuonnoDepartment of Agricultural & Environmental Science, Research Unit of "Genetics and Plant Biotechnology", University Aldo Moro, Bari, Italy.
Ilaria MarcotuliDepartment of Agricultural & Environmental Science, Research Unit of "Genetics and Plant Biotechnology", University Aldo Moro, Bari, Italy.
Antonio M SignorileDepartment of Soil, Plant & Food Sciences, Genetics and Plant Breeding Section, University Aldo Moro, Bari, Italy.
Rosanna SimeoneDepartment of Soil, Plant & Food Sciences, Genetics and Plant Breeding Section, University Aldo Moro, Bari, Italy.
Pasquale De VitaCouncil for Agricultural Research and Economics-Cereal Research Centre, Foggia, Italy.
Anna M MastrangeloCouncil for Agricultural Research and Economics-Cereal Research Centre, Foggia, Italy.
Giovanni LaidòCouncil for Agricultural Research and Economics-Cereal Research Centre, Foggia, Italy.
Nicola PecchioniCouncil for Agricultural Research and Economics-Cereal Research Centre, Foggia, Italy.
Antonio BlancoDepartment of Soil, Plant & Food Sciences, Genetics and Plant Breeding Section, University Aldo Moro, Bari, Italy.
Cereal Research Centre · ITUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing grain yield potential in wheat has been a major target of most breeding programs. Genetic advance has been frequently hindered by negative correlations among yield components that have been often observed in segregant populations and germplasm collections. A tetraploid wheat collection was evaluated in seven environments and genotyped with a 90K SNP assay to identify major and stable quantitative trait loci (QTL) for grain yield per spike (GYS), kernel number per spike (KNS) and thousand-kernel weight (TKW), and to analyse the genetic relationships between the yield components at QTL level. The genome-wide association analysis detected eight, eleven and ten QTL for KNS, TKW and GYS, respectively, significant in at least three environments or two environments and the mean across environments. Most of the QTL for TKW and KNS were found located in different marker intervals, indicating that they are genetically controlled independently by each other. Out of eight KNS QTL, three were associated to significant increases of GYS, while the increased grain number of five additional QTL was completely or partially compensated by decreases in grain weight, thus producing no or reduced effects on GYS. Similarly, four consistent and five suggestive TKW QTL resulted in visible increase of GYS, while seven additional QTL were associated to reduced effects in grain number and no effects on GYS. Our results showed that QTL analysis for detecting TKW or KNS alleles useful for improving grain yield potential should consider the pleiotropic effects of the QTL or the association to other QTLs.

Indexed as

Genes, PlantGenome-Wide Association StudyTetraploidyQuantitative Trait LociTriticum

Identifiers

PMID29324803
PMCPMC5764242
OpenAlexW2783839593

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Registered trials

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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.