Selection for Cold Tolerance during Flowering in Short‐Season Soybean
Bibliographic record
Abstract
ABSTRACT Cold temperatures during early reproductive development may result in reduced pod and seed formation in soybean [ Glycine max (L.) Merr.]. The objectives of this work were to quantify cold tolerance of six potential parents, to screen breeding populations for cold tolerance, to search for associations between molecular markers and cold tolerance phenotypes, and to evaluate field performance of breeding lines. Six cultivars were evaluated for pod and seed set after exposure to 0 to 6 wk cold periods (15/5°C day/night), which began at flowering in growth cabinets. Evaluation at 6 vs. 2 wk following the end of a 3 or 6 wk cold period best discriminated between cold tolerant (CT) and cold sensitive (CS) cultivars. Two recombinant inbred line populations were cold stressed in growth cabinets with divergent selection performed over the F 5 through F 7 generations to select CT and CS lines. Bulked segregant analysis identified six chromosomal regions, four of which are related by homology, as potentially impacting the trait. Over 8 yr in the field at Ottawa, Canada, CT lines yielded 379 kg ha −1 more but matured 5.5 d later than CS lines without visual symptoms of cold damage. Following selection for early maturity, random lines from an additional four populations developed from a selected CT and CS line each crossed to another CT and CS parent were field tested in three environments. Cold tolerant × CT lines yielded about 8% more than CS × CS lines, again without visual cold damage symptoms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".