Evidence map›Paper›PMID 24999347›Full record

ArticleFrontiers in plant science2014

Field-omics-understanding large-scale molecular data from field crops.

Erik Alexandersson, Dan Jacobson, Melané A Vivier, Wolfram Weckwerth, Erik Andreasson

Abstract read
In one paragraph

Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  10. Closing the yield gap: can metabolomics be of help?Journal of experimental botany · 2020
    Article
  11. Article
  12. Article
  13. Field-Based Metabolomics ofFrontiers in plant science · 2018
    Article
  14. Article
  15. Article
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  18. Review
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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

5 authors.

Erik AlexanderssonDepartment of Plant Protection Biology, Swedish University of Agricultural Sciences Alnarp, Sweden.
Dan JacobsonDepartment of Viticulture and Oenology, Institute for Wine Biotechnology, Stellenbosch University Stellenbosch, South Africa.
Melané A VivierDepartment of Viticulture and Oenology, Institute for Wine Biotechnology, Stellenbosch University Stellenbosch, South Africa.
Wolfram WeckwerthDepartment of Ecogenomics and Systems Biology, University of Vienna Vienna, Austria.
Erik AndreassonDepartment of Plant Protection Biology, Swedish University of Agricultural Sciences Alnarp, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent advances in gene expression analysis as well as protein and metabolite quantification enable genome-scale capturing of complex biological processes at the molecular level in crop field trials. This opens up new possibilities for understanding the molecular and environmental complexity of field-based systems and thus shedding light on the black box between genotype and environment, which in agriculture always is influenced by a multi-stress environment and includes management interventions. Nevertheless, combining different types of data obtained from the field and making biological sense out of large datasets remain challenging. Here we highlight the need to create a cross-disciplinary platform for innovative experimental design, sampling and subsequent analysis of large-scale molecular data obtained in field trials. For these reasons we put forward the term field-omics: "Field-omics strives to couple information from genomes, transcriptomes, proteomes, metabolomes and metagenomes to the long-established practice in crop science of conducting field trials as well as to adapt current strategies for recording and analysing field data to facilitate integration with '-omics' data."

Indexed as

bioinformaticscropsfield-omicsfield samplingfield trialsmetabolomicsproteomicstranscriptomics

Identifiers

PMID24999347
PMCPMC4064663

What OpenQuestion holds

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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.