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Record W2255655033 · doi:10.5539/jas.v8n2p88

In Vivo Yam (Dioscorea spp.) Vine Multiplication Technique: The Plausible Solution to Seed Yam Generation Menace

2016· article· en· W2255655033 on OpenAlexvenueno aff
Emmanuel Otoo, T. G. Anyakanmi, Hideniko Kikuno, Robert Asiedu

Bibliographic record

VenueJournal of Agricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsnot available
Fundersnot available
KeywordsVineCuttingSowingHuskSesamumSawdustHorticultureDioscoreaVineyardBiologyMathematicsAgronomyBotanyMedicine

Abstract

fetched live from OpenAlex

<p>A study was conducted to develop a vine multiplication package for generation of seed yam. The parameters assessed for the package were rooting media of the vine cuttings, yam variety and nutrient supplementation to the mother plant to generate minitubers. Nine varieties of yams were planted in 4 media types (soil, soil + sawdust, soil + carbonized rice husk and cocopeat) and 2 levels of nutrient supplementation (no supplementation and supplementation) using RCBD with 3 replications. The study was conducted over 2-year period. Boosting the nutrient status of the mother plant before excising the vines proved to enhance establishment and subsequently the yield of the vine cuttings. Incorporation of biochar in the planting media also enhanced establishment of the vine cuttings and subsequent yields. Success of the vine multiplication techniques also proved to be variety dependent. An in vivo vine multiplication package has been developed for yam seed generation.</p>

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.029
GPT teacher head0.269
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations11
Published2016
Admission routes1
Has abstractyes

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