Evidence map›Paper›PMID 26596213›Full record

ArticleScientific reports2015

Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize.

Enric Melé, Anna Nadal, Joaquima Messeguer, Marina Melé-Messeguer, Montserrat Palaudelmàs, Gisela Peñas, Xavier Piferrer, Gemma Capellades, Joan Serra, Maria Pla

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

10 authors.

Enric MeléPlant Genetics Department, Institute for Food and Agricultural Research and Technology (IRTA), 08348 Barcelona, Spain.
Anna NadalInstitute of Food and Agricultural Technology (INTEA), University of Girona, 17071 Girona, Spain.
Joaquima MesseguerPlant Genetics Department, Institute for Food and Agricultural Research and Technology (IRTA), 08348 Barcelona, Spain.
Marina Melé-MesseguerExternal consultant, InboundCycle S.L., 08039 Barcelona, Spain.
Montserrat PalaudelmàsPlant Genetics Department, Institute for Food and Agricultural Research and Technology (IRTA), 08348 Barcelona, Spain.
Gisela PeñasPlant Genetics Department, Institute for Food and Agricultural Research and Technology (IRTA), 08348 Barcelona, Spain.
Xavier PiferrerEstació Experimental Mas Badia, IRTA, 17134 La Tallada d'Empordà, Girona, Spain.
Gemma CapelladesEstació Experimental Mas Badia, IRTA, 17134 La Tallada d'Empordà, Girona, Spain.
Joan SerraEstació Experimental Mas Badia, IRTA, 17134 La Tallada d'Empordà, Girona, Spain.
Maria PlaInstitute of Food and Agricultural Technology (INTEA), University of Girona, 17071 Girona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically modified (GM) crops have been commercially grown for two decades. GM maize is one of 3 species with the highest acreage and specific events. Many countries established a mandatory labeling of products containing GM material, with thresholds for adventitious presence, to support consumers' freedom of choice. In consequence, coexistence systems need to be introduced to facilitate commercial culture of GM and non-GM crops in the same agricultural area. On modeling adventitious GM cross-pollination distribution within maize fields, we deduced a simple equation to estimate overall GM contents (%GM) of conventional fields, irrespective of its shape and size, and with no previous information on possible GM pollen donor fields. A sampling strategy was designed and experimentally validated in 19 agricultural fields. With 9 samples, %GM quantification requires just one analytical GM determination while identification of the pollen source needs 9 additional analyses. A decision support tool is provided.

Indexed as

Gene FlowModels, GeneticCrops, AgriculturalGenes, PlantGenetic EnhancementPlants, Genetically ModifiedPollinationZea mays

Identifiers

PMID26596213
PMCPMC4656998

What OpenQuestion holds

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LicenceCC BY
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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.