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Comparative Regulatory Approaches for new Plant Breeding Techniques

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

Notice bibliographique

RevueJoint Research Centre (European Commission) · 2012
Typeother
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueGenetically Modified Organisms Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRisk analysis (engineering)Computer scienceBusiness
DOInon disponible

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,108
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,283
Tête enseignante GPT0,327
Écart entre enseignants0,043 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2012
Routes d'admission1
Résumé présentoui

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