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Record W2725691409

Comparative Regulatory Approaches for new Plant Breeding Techniques

2012· other· en· W2725691409 on OpenAlexaboutno aff
Maria Lusser

Bibliographic record

VenueJoint Research Centre (European Commission) · 2012
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsRisk analysis (engineering)Computer scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

When the first transgenic plants reached the stage of commercialisation, the existing legislation was regarded as insufficient to regulate these new crops in many countries and governments introduced biotechnology or GMO (genetically modified organisms) legislation in the 1980s or 1990s. In the meantime new plant breeding techniques (NPBTs) which deploy biotechnology have been developed and in countries where GMOs are regulated under specific legislation the question arises if these NPBTs should be classified as techniques of genetic modification.\nIn 2010 the Joint Research Centre (JRC) carried out a study on "New plant breeding techniques: state-of-the-art and prospects for commercial development" which covered the following techniques: zinc finger nuclease (ZFN) technology, oligonucleotide directed mutagenesis (ODM), cisgenesis, intragenesis, RNA-dependent DNA methylation (RdDM), grafting on GM rootstock, reverse breeding and agro-infiltration. From a survey which was carried out in the framework of this study, it appears that all seven NPBTs are already adopted by breeders and that the most advanced crops are close to commercialisation. \nTwo of the fields covered by the JRC study are specifically relevant for the discussion of the classification of the techniques under the GMO legislation and for the risk assessment: An evaluation of the changes in the genome of crops obtained through NPBTs shows that besides the intended changes in the genome also unintended changes have to be expected. An investigation of the analytical possibilities for crops produced with NPBTs revealed that for most of the techniques identification of the genetic modification currently is not possible. \nAs a follow-up of the 2010 study, the IPTS organised a workshop in September 2011 to discuss the regulatory approaches for biotechnology derived crops with specific focus on NPBTs in six countries/regions (Argentina, Australia, Canada, the European Union, Japan and South Africa). Whereas, in Canada products derived through biotechnology are treated as any other novel products (plants with novel traits, PNTs), specific biotechnology or GMO legislation was introduced in the other five countries/regions. \nThe presentations and discussions during the workshop showed that also regulatory approaches for crops obtained by new plant breeding techniques differ from country to country. The Canadian regulatory process does not need to be changed or specifically adapted for crops derived through NPBTs. In the EU and Argentina groups of experts started to evaluate whether new techniques constitute genetic modification. In Australia, the Office of the Gene Technology Regulator encourages developers to contact them with specific cases where the regulatory status is not clear. The Office has given advice on a few occasions on the interpretation of legislative provisions relevant to NPBTs. In Japan, officials from several ministries responsible for regulating GMOs meet for the purposes of consulting and coordinating their activities under the national biotechnology legislation including issues relating to NPBTs. The South African participant in the workshop stated that initial considerations concerning NPBTs have started following the invitation to the JRC workshop\nIn the workshop, decisions and preliminary considerations were discussed for four groups of NPBTs: (i) mutagenesis, (ii) cisgenesis/intragenesis (iii) transgenic construct driven breeding and (iv) others (agro-infiltration and grafting on GM rootstock). Deviating decisions have to be expected in the countries represented in the workshop depending on the regulatory approaches and specifically on the different GMO definitions and their interpretation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.283
GPT teacher head0.327
Teacher spread0.043 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2012
Admission routes1
Has abstractyes

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