Screening Maize (Zea mays) Genotypes for Tolerance to Witchweed (Striga asiatica L. Kuntze) Infection
Bibliographic record
Abstract
Striga asiatica (witchweed) is a parasitic weed that is a serious threat to maize (Zea mays L.) production in semi-arid environments in Africa. A pot experiment was conducted under glasshouse conditions to screen nine maize cultivars for their tolerance / tolerance to Striga infection at the University of Zimbabwe in the 2012 / 2013 rainfall season. Striga did not significantly (P > 0.05) reduce the final maize height of the maize cultivars, with the exception of three maize cultivars, namely, PHB3253, PHB30G19 and PHB30B50. Furthermore Striga did not significantly (P > 0.05) reduce the stem biomass, leaf biomass and cob biomass of all the maize cultivars evaluated. Generally the maize cultivars had significantly (P < 0.05) higher root / shoot ratios in the Striga infected plants compared to the uninfected plants. It was concluded that all the maize genotypes used in this study could possibly be tolerant to S. asiatica.
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 | 0.000 | 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".