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Record W2063873814 · doi:10.2134/agronj2013.0240

Camelina Yield and Quality Response to Combined Nitrogen and Sulfur

2013· article· en· W2063873814 on OpenAlexafffundabout
Yunfei Jiang, C. D. Caldwell, Kevin C. Falk, Rajasekaran R. Lada, Doug MacDonald

Bibliographic record

VenueAgronomy Journal · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsAgriculture and Agri-Food CanadaDalhousie University
FundersGenome AtlanticDalhousie University
KeywordsCamelinaCamelina sativaPolyunsaturated fatty acidYield (engineering)Randomized block designAgronomyProtein qualityGlucosinolateCropChemistryFatty acidBiologyFood scienceBrassicaBiochemistry

Abstract

fetched live from OpenAlex

Camelina [ Camelina sativa L. Crantz], an oilseed crop in the Brassicaceae family, was field tested at multiple locations in the Maritime Provinces of eastern Canada in 2012 to evaluate the effects of N and S on seed yield, protein content, protein yield, oil content, and fatty acid profile. The experiment was designed as a randomized complete block factorial design with six N rates (20, 40, 80, 120, 160, and 200 kg ha –1 N), two S rates (0 and 25 kg ha –1 S) and two lines of camelina (CDI005 and CDI007). The application of N increased the seed yield, protein content, protein yield, and percentage of polyunsaturated fatty acids (PUFA); however, N rate was negatively correlated with oil content and resulted in a reduction of monounsaturated fatty acids (MUFA). The optimum N rate for yield ranged from 120 to 160 kg ha –1 N. Sulfur affected yield, protein content, protein yield, oil content, percentage of MUFA, and percentage of PUFA only when the N level was sufficient.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.451
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations51
Published2013
Admission routes3
Has abstractyes

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