Study of Cold Stress on the Germination and Seedling Stage and Determination of Recovery in Rice Varieties
Bibliographic record
Abstract
Rice is the second most important crop in the world after wheat, with more than 90 per cent grown in Asia. In order to evaluate the effects of cold stress in the period of germination and seedling and recovery percent of rice cultivars, two independent tests were performed in 2006-2007 in Rice Research Institution at Amol city. An experiment was conducted by split split plots within a randomized block design (CRD) with 54 caring composition, 3 replications and 6 cultivars were used. In this study, main plots were temperature, sub plots were length of stress and sub sub plots were cultivars. The levels of temperature including 10 oc (intense stress), 140C (critical temperature) and 320C (improving temperature, control) and levels of stress time 12, 24, 48 hours and cultivars of local Tarom, Domsiya, Hybrid, Nemat, Gerde, Unda were selected two by two based on quality of product and then performed in unit area and finally resistance against cold respectively. On the period of germination with decreasing temperature from 320C to 140C and from 140C to 100C, total decrease studied indices with exception of percentage of damage to seed are meaningful and similar reaction in recovery section of germination is obvious. In the period of seedling, we can see a meaningful decrease in significant level 1% about of decreasing temperature of total stress, percentage of damage to seedling, vigour of seedling. By increasing temperature in the period of stress of germination, there is a meaningful increase level 1% of total studied features with the exception of damage of seed. In the period of recovery of germination, there is a meaningful increase in significant level 1% of total studied features with the exception of damage to seed. In the period of stress of germination, there is a meaningful decrease at total features with the exception of sensitive to stress, percentage of damage to seedling and vigour of seedling and aceous recovery are similar in the period of seedling. By decreasing time of stress in the period of germination, there is a meaningful decrease by percent of damage total features with exception of rate of germination, percentage of germination. In the period of germination recovery, there is a meaningful increase in length if radicle, length of stem, percentage of germination and rate of germination and other features have meaningful decrease. In the period of seedling recovery, by decreasing time of stress, length of shoot, length of radicle, weight of wet, dry root and other features have meaningful increase. The effects of cultivar in total tests and stages, was significant level 1%. The results show that, feature of germination and length of stem and percentage of damage to seed in different cultivars are various. In the period of recovery, percentage of germination, rate of germination and percentage of damage to seeds, had correct criteria for selecting cultivars sensitive to cold stress. Low temperature can delay pitch and growth of transplant for more time. We can use height of shoot in rice as an index for determining of cultivars resistant to cold. According to these results, we decide precisely for re cultivate rice store or selecting to resistant cultivar by introducing Nemat cultivar in the period of germination and hybrid cultivar in the period of seedling aceous as resistant cultivar during occurring stress of cold.
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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 | 0.001 |
| 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".