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Record W2755121255 · doi:10.5539/jas.v9n10p122

Yam Breeding in Ghana

2017· article· en· W2755121255 on OpenAlexvenueno aff
Emmanuel Otoo

Bibliographic record

VenueJournal of Agricultural Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsnot available
FundersKwame Nkrumah University of Science and TechnologyMinistry of Foreign Affairs
KeywordsSubject matterCropIndigenousDioscoreaAgroforestryGeographyExcellenceResearch centreAgronomyBiologyPolitical scienceEconomic growthLibrary scienceEconomicsEcology

Abstract

fetched live from OpenAlex

CSIR-Crops Research Institute of Ghana is the National Centre of Specialization (NCOs) for Root and Tuber Crops and migrating into a Regional Centre of Excellence (RCOE) in Root and Tuber research in the West African sub-region. Yam is one of the major root and tuber crops of importance in the sub-region and for that matter the NCOS. Even though yams are indigenous to the West African sub-region, with the exception of Dioscorea alata (Asiatic origin), yams are often aptly described as an orphan crop due to the relatively little research effort compared to its significance in the sub-region in particular and the world at large. Breeding of yams therefore can be a challenge due to little literature available on the subject matter. This paper looks at the historic perspective, what can be done presently and projects into future direction of yam breeding in Ghana and the world at large. It also serves as a guide for yam breeding in particular and root and tuber crops in general.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.048
GPT teacher head0.289
Teacher spread0.242 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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