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Record W2904747074 · doi:10.2134/cftm2018.05.0035

Palmer Amaranth (<i>Amaranthus palmeri</i>) and Common Waterhemp (<i>Amaranthus rudis</i>) Control with Very‐Long‐Chain Fatty Acid Inhibiting Herbicides

2018· article· en· W2904747074 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCrop Forage & Turfgrass Management · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAmaranthBiologyPendimethalinAcetochlorWeed controlAgronomyWeedCropHorticulturePesticide

Abstract

fetched live from OpenAlex

Core Ideas Palmer amaranth and common waterhemp are difficult to control weeds and reduce yield in many crops. VLCFA inhibiting herbicides can provide excellent residual control of Palmer amaranth and common waterhemp. VLCFA inhibiting herbicides are labeled in many common crops. The highest rate of VLCFA inhibiting herbicide should be used for the most residual control of Palmer amaranth and common waterhemp. Herbicides must be used as part of an integrated weed management strategy. Field experiments were established in 2015 and 2016 near Manhattan, Hutchinson, and Ottawa, Kansas to assess residual control of Palmer amaranth ( Amaranthus palmeri S. Watson) and common waterhemp ( Amaranthus rudis Sauer) with very‐long‐chain fatty acid (VLCFA) inhibiting herbicides. Six VLCFA inhibiting herbicides and pendimethalin were applied at three different rates (high, middle, and low) based on labeled rate ranges for soybean [ Glycine max (L.) Merr.]. All treatments were applied preemergence (PRE) in a non‐crop scenario after the plot area was clean tilled with a field cultivator. The experiment was conducted one time in 2015 and four times in 2016 at two locations for a total of five site years. Percent Palmer amaranth and common waterhemp control was visually estimated at 4 and 8 weeks after treatment (WAT). At Manhattan, pyroxasulfone, S ‐metolachlor, and dimethenamid‐ P resulted in the greatest Palmer amaranth control at both 4 and 8 WAT. At Hutchinson and Ottawa, pyroxasulfone, S ‐metolachlor, and non‐encapsulated acetochlor resulted in the highest Palmer amaranth and common waterhemp control at both 4 and 8 WAT. Pyroxasulfone and S‐ metolachlor were often the most effective herbicides; whereas, pendimethalin resulted in the least effective Palmer amaranth and common waterhemp control at all sites and observation times. The high use rate across all herbicides resulted in better control when compared to the low use rate across all herbicides at all sites and observation times. This research demonstrates the value of utilizing VLCFA inhibiting herbicides as an effective site of action for residual control of Palmer amaranth and common waterhemp as part of integrated weed management plan.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.008
GPT teacher head0.205
Teacher spread0.198 · 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