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Record W2041086941 · doi:10.5539/sar.v3n2p69

Varietal Susceptibility of Improved Cowpea Vigna unguiculata (L.) (Walp.) Cultivars to Field and Storage Pests

2014· article· en· W2041086941 on OpenAlexvenueno aff
Philip Kweku Baidoo, M. B. Mochiah

Bibliographic record

VenueSustainable Agriculture Research · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural pest management studies
Canadian institutionsnot available
Fundersnot available
KeywordsVignaBiologyCultivarCropAgronomyRandomized block designPoint of deliveryPEST analysisThripsHorticulture

Abstract

fetched live from OpenAlex

<p>Cowpea, <em>Vigna unguiculata</em> is widely cultivated in the tropics and subtropics as food for man and livestock. The crop is highly prone to pests and diseases which limit its production. Resistant cowpea varieties have become increasingly important in the management of both field and storage pests. Three improved cowpea varieties and one local variety were screened for their susceptibility to field and storage pests. The experiment was conducted in a randomized complete block design with four treatments and three replications. The different pests infesting the plants were identified and counted. Aphids and thrips were scored on a scale of 0-5, depending on the levels of infestations. Natural enemies’ numbers, leaf damage, pod damage and yield were assessed. <em>Callosobruchus maculatus</em> infestations during storage and weight reduction were determined over a six week period. Aphids and <em>M. sjostedti</em> score, <em>M. virtrata</em> and <em>Empoasca</em> sp. numbers did not differ significantly; however, significantly more pod sucking bubs attacked the local variety than the improved varieties. Natural enemies’ numbers on the various cultivars did not differ significantly. Yield was however significantly better in the improved varieties. The local variety suffered the largest weight reduction (20.91%) during storage while Nhyira suffered the least weight reduction of 4.23%. The use of improved varieties and application of pests’ control measures will increase cowpea production in Ghana.</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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.767
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.284
Teacher spread0.266 · 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 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

Citations12
Published2014
Admission routes1
Has abstractyes

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