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Record W2415531530

Review on Barley Production and Marketing in Ethiopia

2016· article· en· W2415531530 on OpenAlexaboutno aff
Samuel Weldeyohanis Kifle

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
Fundersnot available
KeywordsLivelihoodAgricultureAgricultural economicsBusinessValue chainProduct (mathematics)Distribution (mathematics)Consumption (sociology)ProductivityProduction (economics)Agricultural scienceGeographyEconomicsSupply chainEconomic growthMarketingBiology
DOInot available

Abstract

fetched live from OpenAlex

Agriculture is the major supplier of raw materials to food processing, beverage and textile industries.It accounts for more than 85% of the labor force and 90% of the export earnings.Cereal production and marketing are the means of livelihood for millions of households in Ethiopia and is the single largest sub-sector within Ethiopia's agriculture, far exceeding all others in terms of its share in rural employment, agricultural land use, calorie intake, and contribution to national income.Barley is the fourth most important cereal crop in the world after wheat, maize, and rice, and is among the top ten crop plants in the world .Globally, European Union, Russian Federation, Ukraine, Turkey and Canada are the top five largest world Barley producers where, On the African continent, Morocco Ethiopia, Algeria, Tunisia and south Africa were the top five largest barley producers.This study was aimed at reviewing Barley production and marketing in Ethiopia, with specific objectives of reviewing the production and productivity of Barley in Ethiopia, the importance and consumption of Barley in Ethiopia, marketing actors and margin distribution of barley in Ethiopia, the value chain actors of barley and the constraints of Barley value chain and marketing Ethiopia.The data were collected from secondary sources mainly from FAOSTAT, CSA and different published materials on barley value chain in Ethiopia.The general idea of the review shows that Ethiopia has potential for Barley production but the producer faced with lack of modern storage and high postharvest losses.On marketing side, low price of product, lack of storage and low quality of product are the major problems of the barley marketing activities.According to the study the major constraints identified as factors that affect Barley Value Chain includes: Shortage of supply of disease resistant and high yield varieties ,Weed and pest occurrence ,Low soil fertility and low soil pH,Poor soil drainage ,Frost and drought ,Diseases, such as scald, net blotch, spot blotch and rusts, Rising costs of transport ,Market price fluctuation and others.In Barley marketing, the major actors identified during the review were; farmers, traders, cooperatives and consumers while in the case of value chain the major actor's involved were farmers, traders, cooperatives, unions, wholesalers, processors and consumers.According to the review, farmers are forced to capture a lower share of profit margin due to low price.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.306
Teacher spread0.237 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations9
Published2016
Admission routes1
Has abstractyes

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