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Record W2979858802 · doi:10.34101/actaagrar/1/3537

Trends in Dry Pea (Pisum sativum L.) Production

2002· article· en· W2979858802 on OpenAlexaboutno aff
János Lazányi

Bibliographic record

VenueActa Agraria Debreceniensis · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHectareSativumLegumePer capitaEuropean unionAgronomyLivestockDry beanGeographyAgricultureBiologyAgricultural economicsBusinessEconomicsInternational tradeCultivarForestryPopulation

Abstract

fetched live from OpenAlex

Dry pea is an important, cool-season grain legume, which is grown worldwide on over 6 million hectares. The major producing countries outside Europe are China and Canada, followed by India, Australia, and the United States. France, Canada and Australia produce over 2 million hectares and are major exporters of peas. During the 1980’s, in developed countries of the European Union, pea production rose yearly by 6-10%, which represents a significant increase in both area and yield. Europe accounts for 50-75% of world pea production. In the 1990’s, the European Union produced 4-5 million tonnes of dry pea, of which 3-4 million tonnes were used for feed and 1 million tonnes for export. At the end of the 20th century, the growth in production was low, mainly because of the absence of support measures, and the better returns offered by other crops. In the countries of the former Soviet Union, dry pea was primarily used as feed and pea production dropped, due to a trend in livestock raising.Food consumption of dry pea is concentrated in developing countries, where grain legumes represent a useful complement to cereal-based diets as a relatively inexpensive source of high quality protein. As a result, human consumption of grain legumes fell from 2,2 kg/capita in 1961 to 0,5 kg/capita in 1999. The importance of grain legumes in food protein supply decreased, while that of cereal products increased. Shortage of grain legumes has adverse effects on the nutritional standard of poor people in developing countries.World dry pea production reached 16,7 million tonnes in 1990, with 3,7 million tonnes used as food, 11,4 million tonnes used as feed, and 1,0 million tonnes used as seed. Dry pea production was 10,9 million tonnes in 1999, and 3,5, 5,8 and 0,8 million tonnes was used as food, feed and seed, respectively. In the coming decades, world grain legume production and utilization as feed are expected to expand at a slower rate than in the 1980’s. Most of the increase is expected to occur in Eastern European countries, Canada and Australia, where production is anticipated to grow at 2% annually. The projection for the new millennium was derived from adjusted trends in area and yield over the period 1961-2000, based on FAO statistical data.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.190
Teacher spread0.163 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2002
Admission routes1
Has abstractyes

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