Agronomic and Phenological Differences of Soybean Isolines Differing in Maturity and Growth Habit
Bibliographic record
Abstract
The effects of maturity genes (E genes) on flowering, maturity, and the seed filling period of soybean [Glycine max (L.) Merr.] have previously been described. However, little work has been done to quantify the effect of maturity and growth habit genes on morphological and phenotypic traits. This study quantifies the effects of maturity and growth habit genes on morphological and phenotypic traits to understand better how these genes may be most agronomically beneficial in northern short‐season breeding programs. Four near‐isogenic pairs consisting of e1e3e4, e1e3E4, e1E3E4, and E1e3e4 maturity gene combinations containing either indeterminate (Dt1) or determinate (dt1) stem termination type were grown near Woodstock, ON, in 1994 and 1995. When averaged across growth habit, the presence of an additional dominant maturity gene significantly increased the time to the start of the seed filling period (SSFP) and days to maturity. Lines with dominant E genes exhibited increased height, final node number, and lodging, and decreased harvest index. Indeterminate growth habit caused increased days to SSFP in 1995, and increased days to maturity, height, and lodging and decreased harvest index in both years. A positive relationship between whole‐plant seed filling rate (SFR) and yield occurred in the Dt1 lines in both years and occurred in the dt1 lines in 1994. There was a positive relationship between whole‐plant seed filling period (SFP) and yield in the dt1 lines in 1995. The E1dt1 line consistently had the highest seed filling rate of any isoline. The data indicated that the E1dt1 combination may have unrealized potential in short‐season breeding programs.
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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) | 0.000 | 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) | 0.001 | 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".