Predator Prey Interaction on some Wheat Cultivars
Bibliographic record
Abstract
The present findings was aimed to determine the predator prey interaction on some wheat cultivars was laid out at Experimental Area of Entomology Section, Agriculture Research Institute, Tandojam during rabi wheat growing season of 2014. Five wheat varieties were sown in a complete randomized block design plot. The varieties are 1. NIA-Sunhari, 2. NIA-Amber, 3. NIA-Sundar, 4.Kiran 5.Kirman.The results indicated that maximum mean population of insect pest and predators were recorded on different varieties of wheat crop. The maximum mean Black aphid population was recorded on variety of NIA-Amber (3.36/leaf) and minimum on Kiran (2.79/leaf). The maximum mean numbers of green aphids were recorded on variety Kiran (5.26/leaf) and minimum mean population on variety NIA-Amber (3.59/leaf). The maximum American bollworm was recorded on variety of NIA-Sunhari, (0.51/leaf) and minimum population was recorded on variety NIA-Sundar (0.14/leaf). Its population was increase in the mid to end of season. The maximum Thrips population appeared on variety NIA-Amber (5.61/leaf) and lowest on NIA-Sunhari (2.79/leaf). The Thrips increased slowly at the start of the season and continued at mid to end of the season. Among predators, the maximum population of Brumus was recorded on variety NIA-Sunhari (0.81/plant) and lowest population observed on variety of NIA-Sundar (0.05/ plant). Similarly the lacewing was recorded on variety of NIA-Sunhari (0.25/plant) and its lowest population was on varieties of Khirman and Kiran (0.05/plant). Maximum 7- spotted beetles population was on variety NIA-Sunhari (0.64/plant) and the lowest population on Kiran (0.15/plant). While the maximum mean population of 11- spotted beetles was recorded on variety of NIA-Sunhari (0.52/plant) and the minimum population on Kiran (0.17/plant).
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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 | 0.000 | 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) | 0.002 | 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".