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Record W4404614337 · doi:10.1007/s43621-024-00656-x

Soybean in Egypt: current situation, challenges, and future perspectives

2024· article· en· W4404614337 on OpenAlexaboutno aff
Mahmoud Naser, Ahmed M. Abdelghany, Tingting Wu, Shi Sun

Bibliographic record

VenueDiscover Sustainability · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoybean genetics and cultivation
Canadian institutionsnot available
FundersChinese Academy of Agricultural SciencesChina Scholarship Council
KeywordsCurrent (fluid)Political scienceEngineering ethicsEnvironmental planningGeographyEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

Soybean cultivation has emerged as a viable agricultural solution in Egypt, addressing challenges such as food security, import reliance, and economic diversification. This comprehensive review examines the current status, potential, and future perspectives of the soybean industry in Egypt. It traces the historical evolution of soybean farming, from its introduction in the twentieth century to its establishment as a prominent crop, particularly in the Nile Delta and Valley regions. The multifaceted applications of soybeans in Egypt, spanning animal feed, human food products, and industrial sectors, are highlighted. An in depth analysis of the harvested area, production, yield, and import dynamics reveals both progress and constraints. The review delves into the climatic suitability of Egypt for soybean cultivation, identifying favorable temperature ranges, sunlight exposure, and strategic irrigation practices. It also examines the challenges faced by Egyptian soybean farmers, including water scarcity, pest infestations, and competition from other crops. Strategies to enhance Egypt's soybean agriculture are proposed, emphasizing breeding programs focused on high yields, disease resistance, and abiotic stress tolerance. The pivotal role of genetic diversity in sustainable agriculture is underscored, and the strategic introduction of soybean varieties through international collaborations is advocated. The maturity group system is presented as a crucial tool for facilitating germplasm exchange and adaptation, enabling the importation of suitable varieties from major soybean-producing countries like China, the United States, Canada, Brazil, and Argentina. The review concludes by outlining future perspectives, emphasizing the need for continued research and development, water management solutions, innovative pest control strategies, sustainable agricultural practices, and market diversification to strengthen Egypt's soybean sector and ensure global competitiveness.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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