ArticlePlant biotechnology journal2017
Stacking transgenic event DAS-Ø15Ø7-1 alters maize composition less than traditional breeding.
Article in Plant biotechnology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Transcriptome and nutritional composition analysis of stacked transgenic maize with insect resistance and herbicide tolerance.GM crops & food · 2025Article
- Plant characterization of insect-protected soybean.Transgenic research · 2024Article
- Effects of stacking breeding on the methylome and transcriptome profile of transgenic rice with glyphosate tolerance.Planta · 2023Article
- Article
- Transparency in risk-disproportionate regulation of modern crop-breeding techniques.GM crops & food · 2021Article
- Comparing agronomic and phenotypic plant characteristics between single and stacked events in soybean, maize, and cotton.PloS one · 2020Article
- Problem Formulation for Off-Target Effects of Externally Applied Double-Stranded RNA-Based Products for Pest Control.Frontiers in plant science · 2020Article
- The evolving EU regulatory framework for precision breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Comparative analysis of genetically-modified crops: Part 1. Conditional difference testing with a given genetic background.PloS one · 2019Article
- Transgene-product expression levels in genetically engineered breeding stacks are equivalent to those of the single events.GM crops & food · 2019Article
- Using Biotechnology-Led Approaches to Uplift Cereal and Food Legume Yields in Dryland Environments.Frontiers in plant science · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The impact of crossing ('stacking') genetically modified (GM) events on maize-grain biochemical composition was compared with the impact of generating nonGM hybrids. The compositional similarity of seven GM stacks containing event DAS-Ø15Ø7-1, and their matched nonGM near-isogenic hybrids (iso-hybrids) was compared with the compositional similarity of concurrently grown nonGM hybrids and these same iso-hybrids. Scatter plots were used to visualize comparisons among hybrids and a coefficient of identity (per cent of variation explained by line of identity) was calculated to quantify the relationships within analyte profiles. The composition of GM breeding stacks was more similar to the composition of iso-hybrids than was the composition of nonGM hybrids. NonGM breeding more strongly influenced crop composition than did transgenesis or stacking of GM events. These findings call into question the value of uniquely requiring composition studies for GM crops, especially for breeding stacks composed of GM events previously found to be compositionally normal.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.