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Record W2178906848 · doi:10.4141/cjps2011-031

Short Communication: Comparative effect of lodging on seed yield of flax and wheat

2012· article· en· W2178906848 on OpenAlexaffvenueabout
Cecil Vera, Scott Duguid, S. L. Fox, Kashif Rashid, J. C. P. Dribnenki, F. R. Clarke

Bibliographic record

VenueCanadian Journal of Plant Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLinumAgronomyYield (engineering)CropBiologyProductivity

Abstract

fetched live from OpenAlex

Vera, C. L., Duguid, S. D., Fox, S. L., Rashid, K. Y., Dribnenki, J. C. P. and Clarke, F. R. 2012. Short Communication: Comparative effect of lodging on seed yield of flax and wheat. Can. J. Plant Sci. 92: 39–43. Lodging may limit crop productivity and hinder the normal process of harvesting crops. Results from 16 yr (1994–2009) of the Flax Co-operative test and from 29 yr (1981–2009) of the Central Bread Wheat Co-operative test, conducted annually for the evaluation of advanced breeding lines at various locations in the provinces of Manitoba, Saskatchewan and Alberta, Canada, were used to determine the effect of lodging on the seed yield of these two crop species. Seed yield data were regressed on corresponding lodging scores (1–9 scale) collected from field evaluations. Lodging was more frequently a problem in flax (Linum usitatissimum L.) than in wheat (Triticum aestivum L.), with average seed yield reductions of 32% and 16%, respectively, when lodging was most severe. Disease has been observed in association with the occurrence of lodging in flax. Further research is necessary to elucidate the participation of airborne and soil microorganisms, particularly pasmo, caused by Septoria linicola (Speg.) Garassini, in the mode and degree to which flax is subjected to, and affected by, lodging.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.542

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 head0.045
GPT teacher head0.250
Teacher spread0.205 · 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 designObservational
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

Citations30
Published2012
Admission routes3
Has abstractyes

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