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Enregistrement W6939327679 · doi:10.6084/m9.figshare.13180670.v1

Cultivation_Problems_and_Perspectives (2).pdf

2020· article· en· W6939327679 sur OpenAlexaboutno aff

Notice bibliographique

RevueFigshare · 2020
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycorrhizal Fungi and Plant Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRapeseedAgricultureCropProduct (mathematics)Edible oilSustainability

Résumé

récupéré en direct d'OpenAlex

Oil producing plants have been used in religious ceremonies, for personal use and adornment, and for flavouring throughout history by populations in Africa, Asia, Europe and the Americas. Nowdays there is a world-wide pressure by consumers to use perceived natural compounds in edible and personal products. It is vital that producers should be able to service this growing demand efficiently, economically and above all reliably. This publication addresses the need for a detailed information on the major oil producing crops namely Argan (Argania spinosa), corn (Zea mays), olive (Olea europaea), peanut (Arachis hypogaea), rapeseed (Brassica napus), rice (Oryza sativa), soybean (Glycine max) and sunflower (Helianthus annuus). For each of which a brief history of the use and economic data is given, and enviromental requirements, cultivation, and harvesting described. Results of current research and recommendations for improved agronomic practices, together with methods of adding value to the crop are also discussed. The oil crops species belong to various botanical groups. The argan and the olive are species of evergreen perennial trees while the other oil crops are annual herbaceous plants. Some of the oil crops have been traditionally cultivated for centuries, while others are a product of a conventional breeding program or genetic modification (GM). Variety selection, environmental conditions, irrigation and fertilization all exert substantial influence on the oil quality parameters. In the past five years, about 56 percent of oilseeds produced and 80 percent of oilseeds traded worldwide have been soybeans. By country, the United States has the largest producer of soybean, peanut and corn. The Russian Federation is a major sunflower producing country while India, China and Canada are the largest producers of rapeseed. The olive oil production is concentrated in the Mediterranean countries Spain, Italy, Greece, Syrian, Turkey, Morocco and Algeria. The Argan oil production is exclusive to Morocco. In terms of exportation (1000 $), USA dominates maize oil exportation (246,163); Spain is the prime exporter of virgin olive oil (2,300,510); Argentina dominates peanut and soybean oils exportation (66,468 and 2,789,292 respectively) while Thailand, Canada and Ukraine are the prime exporters of oils from rice bran, rapeseed and sunflower respectively (2,696,248; 1,095,566 and 175,953 respectively). The Mediterranean region provides optimal conditions for the olive growth. The argan tree is extremely well adapted to drought and environmental conditions of southwestern Morocco. On the other hand, peanut, sunflower and the corn are native to the Americas. Although rice species are native to South Asia and certain parts of Africa, centuries of trade and exportation have made it commonplace in many cultures. Similarly, the soybeans are also native to east Asia and will grow well in climates with hot summers in other continents. The oil crops are prone to attacks by a large number of pests. Consequently the oil quality may deteriorate. Moreover, pesticides used by the farmers may leave residues in the oil. In addition to their use in the manufacture of oil and food (with the exclusion of the nonedible argan and rapeseed), oil crops are being used in the manufacture of a variety of industrial and/or cosmetic products. Other olive products include table olives, olive paste (tapenade), skin care products, olive oil soap and even bio-gas production; peanuts have a variety of industrial end uses. Paint, varnish, lubricating oil, leather dressings, furniture polish, insecticides, and nitroglycerin are made from peanut oil; Sunflowers may be used to extract toxic ingredients from soil, such as lead, arsenic and uranium; Soybeans are the primary ingredient in many processed foods, including dairy product; substitutes Infant formulas based on soy are used by lactose-intolerant babies and for babies that are allergic to cow milk proteins; rapeseed oil is used in the manufacture of biodiesel for powering motor vehicles while the argan wood is being used in a more traditional manner as an energy source for heating.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
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 enseignants0,773
Score d'incertitude au seuil0,761

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0050,004
Science ouverte0,0010,002
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,2270,077

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 Opus0,039
Tête enseignante GPT0,222
Écart entre enseignants0,183 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

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

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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