Dry matter partitioning and physiological responses of Coffea arabica varieties to soil moisture deficit stress at the seedling stage in Southwest Ethiopia
Bibliographic record
Abstract
varieties were tested in 15 and 30 days water stress followed by 15 days re-watering at seedling stage in Jimma, southwest Ethiopia. Repeated measures analysis revealed that differences among varieties depended on water stress and recovery periods for leaf P content and shoot mass ratio (SMR). Regardless of stress and recovery periods, significant differences among varieties were found for root fresh weight (RFW), leaf dry weight (LDW), leaf mass ratio (LMR), root mass ratio (RMR) and root to shoot ratio (RSR). Varieties 7440, 7487, 74140 and 74148 showed relatively high biomass allocation to roots whereas variety 741 allocated more to shoots. Variety 7487 had higher RFW and LDW. Significant differences among stress and recovery periods were also obtained; leaf K, Ca and Mg contents and SMR significantly increased whereas leaf P content, LMR, RMR and RSR decreased during stress. Higher leaf and root biomass fraction, and fresh weights were obtained after 15-day stress and recovery, respectively but similar root biomass fraction after 30-day stress and 15-day recovery and fresh weights during stress. Significantly higher leaf folding, stomatal resistance, leaf temperature and wilted seedlings and the lowest relative water content were observed after 30-day water deficit. Overall, variable coffee plant responses to drought stress periods, and faster recovery of the seedlings after re-watering were observed. Key words:
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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 | 0.002 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".