Mapping QTLs Related to Plant Height and Root Development of Eragrostis tef under Drought
Bibliographic record
Abstract
The effects of water-stress on root and shoot growth of tef (Eragrostis tef) was evaluated with a population of94 recombinant inbred lines (RILs) derived from a cross between tef (cv. Kaye Murri) and E. pilosa. The youngseedlings were cultured under well-watered (soil water potential; 0.2 MPa) and water-stressed (-1.6 MPa)conditions, and plant height and primary root length were measured after 15 days of culture. Kaye Murriconsistently showed larger plant height and longer primary roots than E. pilosa under drought. Quantitative traitloci (QTLs) were also mapped in relation to water-stress using traits of RILs. Five and seven QTLs for plantheight and nine and eight QTLs for primary root length under both of well-watered and water-stressed conditionswere identified, respectively. Seven and six QTLs for indexes of response to plant height and primary root lengthwere also found, respectively. Phenotypic variations for a single QTLs was in the range of 2% to 20%. Beside ofKaye Murri, E. pilosa provided promotive QTLs for development of shoots and roots under drought, indicatingthis species is also an important genetic resource for the breeding of tef.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".