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Record W6991728586

IMPACT OF FIELD-GROWN GENETICALLY MODIFIED CANOLA ON THE DIVERSITY OF RHIZOSPHERE AND ROOT-INTERIOR MICROBIAL COMMUNITIES

2002· dissertation· en· W6991728586 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2002
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsCanolaRhizosphereMicrobial population biologyGenetically modified cropsGenetically modified organismGrowing seasonRapeseed
DOInot available

Abstract

fetched live from OpenAlex

Transgenic or genetically modified plants possess novel genes that impart beneficial characteristics such as herbicide resistance. Unfortunately there is a paucity of information on the interaction and impact of transgenic plants on the soil microbial community. A 3-year field study was conducted to assess the effects of herbicide-tolerant genetically modified canola on
\nmicrobial communities. Four genetically modified and four non -genetically modified canola
\nvarieties were grown at six locations across Saskatchewan, Canada. The rhizosphere and root-interior microbial communities were characterized using community level physiological profiles (CLPP), fatty acid methyl ester analysis (FAME) and terminal amplified ribosomal DNA restriction analysis (T-ARDRA). The microbial communities associated with genetically modified canola
\nvarieties were significantly different than the microbial communities associated with
\nconventional canola varieties. However, this effect was dependent on the transgene. In
\nparticular, the glyphosate-tolerant variety Quest supported a unique microbial community
\ncompared to the communities supported by the four conventional varieties and three
\nglufosinate ammonium-tolerant varieties tested. Analysis of rhizosphere microbial communities associated with canola throughout the field season demonstrated that these communities are
\nsubject to (after plants were harvested in the seasonal variation. Importantly, in April preceding
\nSeptember) no differences were observed between microbial communities from field plots that
\ncontained harvested transgenic canola stubble and field plots that contained no plants during the field season, demonstrating that the effect of transgenic plants on the microbial community was temporary. The composition and functional diversity of microbial communities from
\nfallow soil and rhizosphere and root-interior microbial communities associated with canola plants were significantly influenced by field site. Furthermore, field site interacted with plant variety in its influence on the microbial community. The effect of plant variety on the microbial community at one field site was sometimes entirely different in another field site. Therefore, generalizations about the effect of genetically modified plants on all soil microbial communities are not possible. The interaction between microbial communities, transgenic plants and field site, along with the season variability in microbial communities documented in this study
\nemphasizes the complexity and need for a multifaceted approach to study the risks of
\ntransgenic plants to the diversity of the microbial community.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.185
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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