Evaluating of Drought Stress Tolerance Based on Selection Indices in Spring Canola Cultivars (Brassica napus L.)
Why this work is in the frame
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Bibliographic record
Abstract
In order to study the response of nine cultivars spring canola (Brassica napus L.) to drought stress, an experiment was conducted in a factorial experimental on the basis of randomized complete block design with three replications under two irrigated conditions during 2009-2010 cropping season. Eleven drought tolerance indices including stress tolerance index (STI), stress susceptibility index (SSI), tolerance index (TOL), geometric mean production (GMP), mean production (MP), yield index (YI), yield stability index (YSI), drought resistance index (DI), modified stress tolerance (MSTI), relative drought index (RDI) and stress susceptibility percentage index (SSPI) were calculated based on grain yield under drought (Ys) and irrigated conditions (Yp).Yield in stress (Ys) and non-stress (Yp) conditions were significantly and positively correlated with STI, GMP, MP, YI, TOL, DI, RDI, YSI, SSPI, K1STI and K2STI and negatively correlated with SSI. Results of this study show thatthese indices of stress tolerance/resistance such as K1STI, K2STI, SSPI, RDI and DI can be used as the most suitable indicators for screening drought tolerant cultivars.Screening drought tolerantcultivars using ranking method discriminated cultivars Hyola 308, Heros and SW5001 as the most droughts tolerant. Cluster analysis classified the cultivars into three groups i.e., resistant, susceptible and tolerant to drought conditions. Therefore they are recommended to be used as parents for improvement of drought tolerance in other cultivars.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it