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Record W2184234447 · doi:10.21273/hortsci.40.3.616

Tolerance of Three Sweet Corn Hybrids to a Postemergence Tankmix of Nicosulfuron plus Bromoxynil

2005· article· en· W2184234447 on OpenAlexaffabout
Cheryl-Ann L. Corbett, Nader Soltani, Allan S. Hamill, Peter H. Sikkema, S. R. Bowley, Darren E. Robinson

Bibliographic record

VenueHortScience · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsUniversity of GuelphAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBromoxynilHybridAgronomyBiologyHorticultureYield (engineering)Weed control

Abstract

fetched live from OpenAlex

Trials were conducted over 2 years at three locations in Ontario to determine the tolerance of three sweet corn hybrids to postemergence application of nicosulfuron (25 and 50 g·ha –1 ), bromoxynil (280 and 560 g·ha –1 ), and nicosulfuron plus bromoxynil (25 + 280 g·ha –1 and 50 + 560 g·ha –1 ). All hybrids showed injury 7 days after treatment (DAT). The crop largely recovered from the injury in most treatments, as indicated by the ratings completed 14 and 28 DAT. However injury from the tankmix of nicosulfuron plus bromoxynil at both rates still appeared to be synergistic at 7, 14, and 28 DAT. Visual injury, height reductions and yield loss in the nicosulfuron plus bromoxynil (50 + 560 g·ha –1 ) treatment were more severe than in the other herbicide treatments. Yield of BSS5362 was significantly decreased in the nicosulfuron (50 g·ha –1 ) and nicosulfuron plus bromoxynil (50 + 560 g·ha –1 ) but was not affected by any other herbicide-hybrid combination. Caution must be exercised when using this tankmix combination, as there is potential to cause significant visual injury, height reductions and yield loss.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.217
Teacher spread0.200 · 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

Citations4
Published2005
Admission routes2
Has abstractyes

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