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Record W4416132427 · doi:10.1017/wet.2025.10063

Weed control in corn with diflufenican plus isoxaflutole

2025· article· en· W4416132427 on OpenAlexafffundabout
Nader Soltani, Isabelle K. Aicklen, Christy Shropshire, Peter H. Sikkema

Bibliographic record

VenueWeed Technology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsUniversity of Guelph
FundersOntario Agri-Food Innovation AllianceGrain Farmers of Ontario
KeywordsLambsquartersFoxtailWeed controlWeedRagweedAtrazine

Abstract

fetched live from OpenAlex

Abstract Diflufenican is a selective phenyl ether, Group 12 herbicide. Limited information exists on the weed control efficacy of diflufenican and the potential improvement in weed control when it is co-applied with isoxaflutole. Three field studies were conducted in Ontario to evaluate preemergence applications of isoxaflutole and diflufenican alone and in combinations for weed control in corn. Isoxaflutole applied at 52.5, 79, and 105 g ai ha −1 provided effective control of velvetleaf (83% to 89%, 91% to 98%, and 92% to 97%), green pigweed (73% to 85%, 85% to 91%, and 94% to 97%), common ragweed (81% to 86%, 93% to 97%, and 95% to 97%), and common lambsquarters (88% to 89%, 96% to 99%, and 98% to 100%), respectively when evaluated at 2, 4, and 8 wk after treatment (WAT). Diflufenican applied alone at 75 to 150 g ai ha −1 provided ≤3% control of velvetleaf, ≤38% of green pigweed, ≤7% of common ragweed, and ≤20% of common lambsquarters. Isoxaflutole applied alone provided 16% to 75% control of barnyardgrass, while diflufenican was ineffective (<3%). The co-application of isoxaflutole + diflufenican improved control to 34% to 86%, with synergistic effects of barnyardgrass control observed at several rates. Isoxaflutole and diflufenican, applied alone controlled green foxtail by 15% to 72% and 0% to 12%, respectively. The co-application of isoxaflutole + diflufenican improved green foxtail control to 25% to 89% with synergistic responses at some rates and evaluation timings. There was minimal corn injury with these treatments. Weed interference reduced corn yield by up to 69%. Weed interference with diflufenican applied alone resulted in corn yields of 4570 to 4750 kg ha −1 , which is similar to yields from the nontreated control (3.33 T ha −1 ). Reduced weed interference with isoxaflutole alone and in mixtures with diflufenican resulted in corn yields of 8.36 to 10.83 T ha −1 , which is higher than yields from both the nontreated control plots and those that received diflufenican treatments. Overall, isoxaflutole provided consistent broadleaf weed control, while synergistic interactions with diflufenican enhanced barnyardgrass and green foxtail suppression.

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 score0.856
Threshold uncertainty score0.672

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 science0.0000.000
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 head0.004
GPT teacher head0.197
Teacher spread0.193 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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