Prevalence Of Nematode Population In Two Different Rice Cultivation Systems And Its Impact On Crop Growth
Bibliographic record
Abstract
An experiment was carried out to study the prevalence of nematode population in two different cultivation systems (SRI and conventional) on rice cv. IET- 4094 (Khitish). Total twenty-eight plots were laid out in paired plot technique. Irrespective of rice cultivation systems, there had been a steady hike in population of Meloidogyne graminicola and Tylenchorhynchus mashhoodi with the maximum being recorded near harvest and a sudden fall during fallow period was observed. The study indicated that SRI cultivation provided comparatively more favourable ecological condition for steady buildup of M. graminicola and T. mashhoodi population than conventional system. Between two systems, SRI method encountered comparatively more population of Hoplolaimus indicus. The spiral nematode, Helicotylenchus dihystera was also found associated with the rice crop but statistical analysis did not reveal any stable result to come into conclusion about their ecological preference. The study revealed that continuous submergence of rice field as in conventional system was detrimental to growth and reproduction of R. reniformis. The rice crop grown under SRI method acquired more vigorous growth as compared to conventional system. Profuse root and shoot growth as evidenced by root length, root biomass yield and straw yield in SRI might have limit the yield reduction in spite of huge infestation of nematodes.
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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) | 0.001 | 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".