CALPÚN-INIA, CULTIVAR DE LENTEJA (Lens culinaris Medik.) DE GRANO GRANDE Y RESISTENTE A ROYA Calpún-INIA, a large seed size and rust-resistant lentil (Lens culinaris Medik.) cultivar
Bibliographic record
Abstract
A B S T R A C T Calpun-INIA is a rust (Uromyces fabae Pers.) resistant lentil (Lens culinaris Medik.) cultivar that was developed by the former Food Legume Program of the National Institute of Agricultural Research (INIA), Chile. It is derived from crosses between the Chilean rust-susceptible Araucana-INIA and the Canadian rustresistant Laird cultivars, using earliness, AraucanaINIA’s type of plant architecture, seed size, seed yield and rust resistance as selection criteria. Calpun-INIA belongs to the large seeded cultivars (macrosperma type), averaging 8 g per 100 seeds, and > 65% of seeds retained in a 7 mm sieve. The seed is partially flattened, with pale green to grey background and pale yellow cotyledons. Averaged across years, the seed yield of Calpun-INIA was 17% lower than AraucanaINIA’s in rust-free environments, whereas CalpunINIA out-yielded Araucana-INIA by 60 to 95% in environments where this disease is the main constraint for lentil production. Calpun-INIA is the first lentil cultivar released by INIA, combining high yield and large seed size with rust resistance.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".