Agronomic performance of different stature sunflower cultivars under different levels of interplant competition
Bibliographic record
Abstract
Early-maturing, short-stature sunflower (Helianthus annuus L.) cultivars improve the adaptability of sunflower to the short growing season of western Canada. However, the agronomic potential of the recently developed dwarf cultivars in comparison to standard-height sunflower is yet to be understood. Multi-environment field studies, consisting of space-planted trials, where interplant competition was low, and agronomy trials, where plants were grown at commercial population densities, were conducted in southern Manitoba to compare the yield formation of dwarf hybrids (sunwheats; SW-101 and SW-103), and dwarf open-pollinated c ultivars (sunola; Aurora and Sierra) with that of standard-height cultivars (IS-6111 and SF-187). In space-planted trials, dry matter (DM) accumulation and water use efficiency for dry matter production (WUE DM ) decreased as plant height decreased. In agronomy trials, differences in DM and WUE DM among the different height classes were masked. The diversion of assimilate from stem to head depended on the genetic background, while the efficiency of utilising assimilate in the head for seed production was lower in dwarf cultivars. Only one of the four dwarf cultivars (SW-103) displayed a higher harvest index than IS-6111. Higher seed yield for the standard-height cultivar, IS-6111, and the dwarf open-pollinated cultivar, Aurora, compared to other cultivars was attributed to both greater DM and improved DM partitioning. However, variations observed among the dwarf cultivars for DM accumulation and partitioning revealed that the dwarfing gene was not a limiting factor for breeding a dwarf sunflower cultivar with better partitioning of DM along with better yield potential. Key words: Dwarf sunflower, Sunola, seed yield, biomass, water use efficiency
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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 | 0.000 |
| 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 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".