The Species Composition and Relative Abundance of Insect Pests of Stored Faba Bean in Farta District of South Gondar Zone of North Western Ethiopia
Bibliographic record
Abstract
Faba bean contributes to meet the basic dietary needs of millions of people and animals around the world, including Ethiopia, pertaining to its high protein, carbohydrate, dietary fibers and micronutrients. Nevertheless, insect pests have been reported to cause significant loss of it under traditional farmers’ storages. Accordingly, survey involving sampling of stored faba bean from a total of 162 farmers stores selected in nested design was conducted from 4, September 2019 – 15, May 2020 in six major faba bean producing peasant associations of Farta District. Accordingly, a total of 10 species of insect pests viz Acanthoscelides obtectus, Callosobruchus sp., Callosobruchus chinensis, Zabrotes subfasciatus, Callosobruchus muculutus, Bruchus sp. and Bruchidius sp. were recorded from stored faba bean of the study area. 90% of which was belonging to order Coleoptera with in two families i.e., Bruchidae and Nitidulidae, while one species (10%) was from order Psocoptera of the family Liposcelididae. In terms of their relative abundance the species were in the following order Acanthoscelides obtectus > Callosobruchus sp. > Callosobruchus chinensis > Zabrotes subfasciatus > Callosobruchus muculutus > Carpophilus sp. > C. dimidatus > Liposcelis sp. > Bruchus sp. > Bruchidius sp. Accordingly, the presence of great infestation of the faba bean grain by pests was suggested. As a result, the traditional practices used by farmers were ineffective for satisfactory protection of the stored faba bean grains. Therefore, designing effective management strategies against insect pests of stored faba bean in the study area is urgently needed.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".