Adapting management of nitrogen sources and weeds in flax systems of central Iowa.
Bibliographic record
Abstract
Production of fl(Linum usitatissimum L.) has increased in North America over the past decade, due to markets driven by the recognition of the potential health benefi ts of including fl ax seed in the human diet. Knowledge of appropriate conventional and organic production practices for production in the Midwest, U.S. is lacking, as much of the research in North America originates in North Dakota, Manitoba, Saskatchewan and Alberta on the Northern Great Plains. Midwestern research is necessary to develop N recommendations for fl ax growers in this region. Additionally, adequate management of weeds is of particular concern for growers of fl ax due to its lack of competitiveness (Franzen, 2004). Researchers evaluated the response of fl ax to three N sources applied at three N rates in the presence and absence of weed competition. This study occurred in 2007 and 2008 at the Iowa State University Agronomy and Agricultural Engineering Farm located near Ames in central Iowa. In both years, the experiment took place in fiplanted to soybeans the previous year. Composted swine manure, fresh liquid manure, and urea were surface applied by hand to plots at 0, 30, 60, and 90 lb N/A and immediately incorporated into the soil. Nutrient analyses and applied rates of compost and manure are provided in Table 1. Each N source x rate combination was replicated four times. Flax was drilled into plots at 8-inch row spacings at 50 lb/A accompanied by red clover (Trifolium pratense L.) broadcasted at 15 lb/A. Flax was underseeded with red clover to mimic a common management strategy used for production of small grains. Plots were split into randomized subplots that either contained uncontrolled weeds (‘weedy’) or were weed-free. Throughout the growing season, weeds were removed by hand as needed from weed-free subplots. At fl ax seed maturity in late July, aboveground shoot material of fl ax, red clover, and weeds was hand-harvested at the soil surface from four randomly located 1 ft 2 areas in each subplot. The linolenic acid (omega-3 fatty acid) concentration of seed oil was assessed upon harvest.
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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) | 0.000 | 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".