Inheritance of resistance of white rust (Albugo candida race 2) Brassica juncea.In
Bibliographic record
Abstract
ABSTRACT: Two white rust resistant Canadian cultivars of Brassica juncea Domo and Cutlass were confirmed to posses resistance to Indian Collection of race 2 of Albugo candida: These were crosed with most widely grown B. juncea white rust susceptible cultivars, Varuna and Kranti, in all posible combinations. The reactions of FtS involving resistant X susceptible parents and their reciprocals were resistant indicating dominance of resistance. The Fz segregation pattern of all the resistant X susceptible crosses revealed the single gene ratios of 3 resistant: 1susceptible plants. The segregation pattern of F, generation and test crosses indicated that white rust resistance ill Domo and Cutlass is under the control of a single dominant gene. Key words: Albugo candida. Brassica juncea, major gene resistance, white rust White rust (WR) of Brassicajuncea (L) Czern and Coss caused by Albugo candida (Pers.) Kuntze is a disease of economic importance in India (Kolte, 1985) and Canada (Rimmer and Buchwaldt, 1995). The disease can cause an average seed yield loss in the range of 17-32 percent in India (K6ite, 1985). The leaf phase of the WR is characterized by development of
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) | 0.002 | 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".