Germplasm Evaluation of Tomatillo ( <i>Physalis Ixocarpa</i> Brot.) Cropped Under Ontario, Canada and Chapingo, Mexico Environmental Conditions
Bibliographic record
Abstract
Germplasm Evaluation of Tomatillo ( Physalis Ixocarpa Brot.) Cropped Under Ontario, Canada and Chapingo, Mexico Environmental Conditions Evaluation of five tomatillo Mexican landraces including altogether 13 accessions was performed under environmental conditions of Ontario, Canada and Chapingo in central Mexico. The measured traits were: beginning of flowering and harvest, total number of harvested fruits and the yield. Number of days to flowering or fruiting was counted from the date of planting. In both localities accessions 1 and 3 of the Rendidora landrace as well as the accession 1 of the Manzano landrace were the earliest and the highest yielding. In Chapingo the accession 1 of the Rendidora landrace gave the yield of fruits almost 4 kg.m -2 , in Elora, Canada the same accession was also the best and yielded almost 3 kg.m -2 . In general, all accessions were earlier in Elora than in Chapingo; yield in both localities was in general similar except the landrace Milpero obviously poorly suited to Canadian environment. Tomatillo may be considered as a promising new crop for Ontario, Canada agriculture. Yield was correlated negatively, in a significant way, with the number of days to flowering and harvest, it means that the development of early, highly productive varieties by artificial selection is feasible.
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 | 0.001 |
| Science and technology studies | 0.001 | 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".