Yield physiology, quality and soil water dynamics of a semidwarf and a tall oat (Avena sativa L.) cultivar
Bibliographic record
Abstract
Oat production has increased dramatically in Western Canada.Until recently all oat cultivars have been tall, yet excess straw and lodging are problems facing oat producers.With the development of the new semidwarf oat cultivar, AC Ronald, there is increased interest in how a semidwarf cultivar performs relative to conventional tall oat cultivars.Experiments were conducted in 1999 and 2000 to examine and compare yield physiology and seed quality of AC Ronald and the conventional height oat cultivar Triple Crown under different N fertilizer rates and rotation (grain legume versus oilseed as previous crop).The higher yield potential of AC Ronald was attributed to a greater sink size (i.e.kemel number and panicle density) and higher harvest index.Both cultivars responded similarly to N fertilizer rate and crop rotation, suggesting that different N rates are not required to optimize yield of semidwarf oat cultivars.Highest quality (hectolitre weight) was achieved with AC Ronald; however, seed quality was more influenced by both cultivar choice and sufficient N supply.A second objective was to examine soil water dynamics (evapotranspiration (ET), soil water extraction patterns, and water use efficiency (WIIE)) of both oat cultivars under different N fertilizer rates and rotation, and to compare these parameters to semidwarf and conventional height wheat cultivars.Evapotranspiration and soil water extraction patterns of AC Ronald and Triple Crown were similar, indicating the semidwarf trait had little influence on ET and where water was being extracted from the soil prof,rle.Similar results were observed in wheat.Oat lll had higher seasonal ET than wheat, which was attributed to greater soil water extraction in the 30-90 cm increment of the soil profile.Oat also extracted water from deeper within the soil profile (90-130 cm zone) than wheat, suggesting a possible role for oat in cropping systems where sub-soil moisture or nitrate-N levels exist.The higher ET, along with greater DM production, of oat resulted in greater WUE and productivity (i.e.yield) compared to wheat due to a higher proportion of ET being used as transpiration. ACKNOWLDGEMENTSSeveral people were instrumental during the course of this degree.I would like to thank the following: o My advisor
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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 | 0.000 | 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 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".