Effect of Seasonal Incidence of Major Insect Pests of Mustard Crop in Relation to Abiotic Factors
Bibliographic record
Abstract
Rapeseed-mustard is a key oilseed crop in India, contributing 11% to global production, ranking third after Canada and China. However, mustard crops face threats from over several insect pests, including aphids, sawflies, painted bugs, leaf webbers, and leaf miners. A field study conducted in Kanpur during the 2021-22 and 2022-23 Rabi seasons examined the seasonal incidence of these pests and their correlation with weather parameters. Mustard aphid infestations peaked in February, with population fluctuations negatively correlated with temperature. Similarly, the painted bug infestation peaked in December-January, with significant negative correlations with maximum and minimum temperatures. The mustard sawfly and leaf miner also showed seasonal fluctuations influenced by temperature and humidity. Their populations varied seasonally, with correlations to temperature, humidity, and rainfall.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".