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Record W4407312383 · doi:10.5539/jas.v17n3p37

Investigation of Barnyardgrass (Echinochloa crusgalli (L.) Beauv.) Resistance to Propanil, Quinclorac, Cyhalofop, Glyphosate, Imazethapyr, Bispyribac, and Florpyauxifen-benzyl in Mississippi Rice Fields

2025· article· en· W4407312383 on OpenAlexvenueno aff
Taghi Bararpour

Bibliographic record

VenueJournal of Agricultural Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
FundersNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsPropanilEchinochloa crus-galliEchinochloaAgronomyHerbicide resistancePaddy fieldBiologyWeedWeed control

Abstract

fetched live from OpenAlex

Weed management programs are an essential component of rice (Oryza sativa L.) production in Mississippi. Herbicides will continue to be a major component in most integrated weed management systems in rice and other crops. Weeds developing resistance to herbicide continue to be a problem in Mississippi agriculture. A greenhouse study was conducted in 2019 and 2020 at the Delta Research and Extension Center, in Stoneville, Mississippi, to evaluate barnyardgrass resistance to Stam M4 (propanil), Facet (quinclorac), Clincher (cyhalofop), Roundup formulations (glyphosate), Newpath (imazethapyr), Regiment (bispyribac), and Loyant (florpyauxifen-benzyl) in Mississippi rice fields. Forty-six random barnyardgrass accessions from various Counties of Mississippi rice fields were collected in 2018. The number of barnyardgrass plants surviving from each herbicide application was recorded four-weeks after application to determine the percentage of barnyardgrass-resistant for each population and for each herbicide application. The high level of barnyardgrass survival from Loyant application indicate that Loyant alone is not be able to control barnyardgrass. The suspected barnyardgrass-resistant plants (survived plants) from each herbicide application except for Loyant were transplanted in a bigger pot for seed production. The seed (F1) was harvested for the next step of testing in 2020 to investigate the level of barnyardgrass seedling (from survived plants in 2019) response to different rates (1/2 X, 1X, 2X, and 4X) of Propanil, Facet, Clincher, Glyphosate, Newpath, and Regiment (does response). Four suspected herbicide-resistant (highest level) barnyardgrass populations from Propanil, Facet, Clincher, Regiment, Newpath, and Glyphosate were selected for does response. The results indicate that the F1 population of suspected herbicide-resistant barnyardgrass from Desoto-1 County is resistant to Propanil, Newpath, Clincher, and Regiment (multiple resistance) and the F1 population of suspected herbicide-resistant barnyardgrass from Washington-1 County is resistance to Propanil, Newpath, Clincher, Regiment, and Glyphosate (multiple resistance).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.228
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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