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Record W2545518536

Estimated Costs of Production for Winter Canola in Iowa

2016· article· en· W2545518536 on OpenAlexaboutno aff
Rafael A. Martinez‐Feria, Keri Jacobs, Mary H. Wiedenhoeft

Bibliographic record

VenueIowa State University Digital Repository (Iowa State University) · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsnot available
Fundersnot available
KeywordsCanolaProduction (economics)Environmental scienceAgricultural economicsAgricultural scienceEconomicsAgronomyBiology
DOInot available

Abstract

fetched live from OpenAlex

Canola is a productive crop commonly grown in regions outside the Midwestern Corn Belt for its high-quality, edible oil. The oilseed is traded in global commodity markets and its price has seen significant increases during the last decade, primarily due to a steady domestic demand for vegetable oil and strengthening international demand for Canadian canola (1). Findings from our field studies indicate that winter varieties of canola planted in early fall in Iowa (mid-August to early-Sept) have the potential to overwinter and be harvested in mid-July (2). For producers who wish to incorporate alternative crops into their rotation, winter canola may be a good candidate following spring grains (e.g. oats, spring wheat) in a rotation. Yields of winter canola in the U.S. typically range between 0 and 3,600 lb per acre (10 percent moisture) averaging at about 1,900 lb per acre (3).\nCanola can be seeded using a small-grain drill (4) or conventional row crop planters with row spacing of 15-30 inches, although decreases in yield from 0-10 percent have been observed for wide row spacing (5). Canola typically uses less nitrogen (N) than corn, and slightly more than wheat. Additionally, split N applications are recommended with about 30-50 percent applied at pre-planting, and the balance top-dressed in the spring. The crop can be harvested by direct combining using a “draper” header, although shattering can cause yield losses. Alternatively, the crop can be swathed and then harvested. Swathing helps to speed up dry down and reduces losses due to windstorms and hail.\nWinter canola is not a grass or legume (canola is in the Brassica family) and it has a winter annual growing cycle. Thus, including this crop in an Iowa rotation could provide more flexible opportunities to rotate herbicide chemistry and pest control strategies. Moreover, some evidence suggests that Brassica species produce chemical compounds that have the potential to control some soil-borne pests and even some weeds (6). Additionally, the winter canola canopy may help to protect soil from erosion during the winter months, and roots can actively take up nutrients, preventing their loss into waterways.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.193
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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