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Cultivation_Problems_and_Perspectives (2).pdf

2020· article· en· W6939327679 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsRapeseedAgricultureCropProduct (mathematics)Edible oilSustainability

Abstract

fetched live from 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.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.773
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.2270.077

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 head0.039
GPT teacher head0.222
Teacher spread0.183 · 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.

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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