GENETICALLY MODIFIED ORGANISMS IN ENVIRONMENT
Notice bibliographique
Résumé
Biotechnology and genetic modifications are commonly used as interchangeable. Genetically modified is a special set of technologies that alter the genetic makeup of such living organisms as animals, plants or bacteria. Combining genes from different organisms is known as recombinant DNA technology and the resulting organism is said to be ‘genetically modified’, ‘genetically engineered’, or ‘transgenic’. Locating genes for important traits such as those conferring insect resistance or desired nutrients is one of the most limiting steps in the process. However, genome sequencing and discovery programmes for hundreds of different organisms are generating detailed maps along with dataanalyzing technologies to understand and use them. Genetically modified organism (GMO) is used for producing genetically modified (GM) foods. GM foods have been available since 1990s. The most common modified foods are derived from plants: soyabean, corn, canola and cotton seed oil and wheat (ISAAA, 2002).The process of producing GMO used for GM foods may involve taking DNA from one organism, modifying it in a laboratory and then inserting it into the target organism’s genome to produce new and useful traits or phenotypes. Such GMOs are generally referred to as transgenic. Other methods of producing a GMO includes increasing or decreasing thenumber of copies of a gene already present in the target organism, silencing or removing a particular gene or modifying the position of a gene within the genome. In 2006, a total of 252 million acres of transgenic crops were planted in 22 countries by 10.3 million farmers. The majority of these crops were herbicide and insect resistant, soyabeans, corns, cotton, canola and alfalfa. Other crops grown commercially or field tested are a sweet potato resistant to a virus that could decimate most of the African harvest, rice with increased iron and vitamins that may alleviate chronic malnutrition in Asian countries and a variety of plants able to survive weather extremes in the horizon are bananas that produce human vaccines against infectious diseases such as hepatitis B, fish that mature more quickly, cows that are resistant to bovine spongiform encephalopathy (mad cow disease); fruit and nut trees that yield years earlier and plants that produce new plastics with unique properties. In 2006, countries that grew 97% of the global transgenic crops were the United States (53%), Argentina (17%), Brazil (11%), Canada (6%), India (4%), China 3%, Paraguay (2%) and South Africa (1%). Although growth is expected to plateau in industrialized countries, it is increasing in developing countries. The next decade will see exponential progress in GM product development as researchers gain increasing and unprecedented access to genomic resources that are applicable to organism beyond the scope of individualprojects. Genetic engineering may accelerate the damaging effects of agriculture, have the same impact as conventional agriculture, or contribute to more sustainable agricultural practices and the conservation of natural resources, including biodiversity.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,004 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,106 | 0,026 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».