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Record W7051924999

Proceedings of the 47th Annual Meeting, Southern Soybean Disease Workers (March 4-5, 2020, Pensacola Beach, Florida)

2020· article· en· W7051924999 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2020
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSoybean cyst nematodeSoybean rustLeaf spotBlightCercosporaAzoxystrobinPhakopsora pachyrhiziDisease control
DOInot available

Abstract

fetched live from OpenAlex

Contents Southern United States soybean disease loss estimates for 2019. TW Allen, K Bissonnette, CA Bradley, JP Damicone, NS Dufault, TR Faske, T Isakeit, RC Kemerait, A Koehler, HL Mehl, JD Mueller, GB Padgett, PP Price, EJ Sikora, IM Small, L Thiessen, and H Young Abstracts of presented papers Fungicide efficacy on target spot in Tennessee soybean. Ty Smith, H Kelly, and Z Hansen Temporal dynamics of Neohydatothrips variabilis, Frankliniella tritici, and Frankliniella fusca in South Central Wisconsin and the occurrence of Soybean vein necrosis virus. Cristina Zambrana-Echevarria, S Kaplan, RL Groves, and DL Smith Population distributions and densities of nematodes, and virulence phenotypes of soybean cyst nematode in Tennessee. Rufus Akinrinlola, and H Kelly Improving soybean white mold control by integrated management. Wade Webster, B Mueller, J Gaska, D Mueller, MI Chilvers, S Conley, and DL Smith Assessment of QoI sensitivity and frogeye leaf spot race of Cercospora sojina in Georgia soybean. Bennett Harrelson, A Culbreath, R Kemerait, Jr, and J Buck Reduction of Pythium damping-off in soybean by biocontrol seed treatment. Mirian F Pimentel, E Arnao, A Warner, N Elsharif, M Chilvers, A Robertson, J Bond, and A Fakhoury Understanding cercosporin self-resistance to identify novel tools to manage Cercospora leaf blight on soybean. Maria Izabel Costa de Novaes, CL Robertson, VP Doyle, and S Thomas-Sharma Evaluating the efficacy of soybean seed treatment on high and low vigor seed in Arkansas. Samantha Segalin, JC Rupe, JA Rojas, and R Holland Impact of wheat on soybean cyst nematode (Heterodera glycines I.) populations in a soybean double cropping system. Leonardo F Rocha, MF Pimentel, JP Bond, and AM Fakhoury Using unmanned aerial systems and multispectral imagery to assess sudden death syndrome of soybean. Lindsey McKinzie, AM Fakhoury, R Li, and JP Bond Soybean rust: Scourge of Alabama. Ed J Sikora, D Delaney, and K Connor Management of SCN and SDS with nematode-protectant seed treatments across multiple environments. Kaitlyn M Bissonnette, Y Kandel, M Chilvers, N Kleczewski, D Mueller, D Smith, D Telenko, and A Tenuta Determining inoculum density of Xylaria sp., the taproot decline pathogen, in soil under various crop rotation systems. Aline Bronzato-Badial, K Phillips, TH Wilkerson, and M Tomas-Peterson A new pathosystem to study the plant-fungal interactions underlying Cercospora leaf blight of soybean. Kona Swift and B Bluhm Impact of cultivar on soybean foliar and seed diseases in Arkansas. John C Rupe, RT Holland, and JA Rojas Thoughts on southern blight: Should we be concerned about southern blight? Tom W Allen, WL Solomon, and BA Burgess From plots to strips: Six years of fungicide trials. Terry N Spurlock, AC Tolbert, and RC Hoyle Meta-analysis of soybean yield response to foliar fungicides evaluated from 2005 to 2018 in the United States and Canada. Yuba K Kandel, C Hunt, K Ames, N Arneson, CA Bradley, E Byamukama, A Byrne, MI Chilvers, L Giesler, J Halvorson, DC Hooker, NM Kleczewski, DK Malvick, S Markell, B Potter, W Pederson, DL Smith, AU Tenuta, DEP Telenko, KA Wise, and DS Mueller On the road in Louisiana: Taking the research station to farms. Trey Price, MA Purvis, DA Ezell, GB Padgett, M Foster, and J Hebert The next super model: Development of a flexible framework for multiple disease models in soybean. Damon L Smith, J Willbur, M Chilvers, M Kabbage, SP Conley, D Mueller, and R Schmidt IPM implementation in Tennessee. Heather M Kelly, S Stewart, K Vail, D Hensley, S Steckel, A McClure, and T Raper Reproduction potential and survival of soybean nematodes in row rice. Travis Faske, K Brown, and N Bateman Initial research with peracetic acid as a disease management tool in soybeans and other legume crops. Vijay K Choppakatla FMC fungicide offerings update. Matthew Wiggins Abstracts for presented posters Extension efforts in disseminating nematode survey results. Rachel Guyer, R Akinrinlola, and H Young Assessing the role of weathering on the grain quality of soybean varieties in the Mississippi Delta. Tessie H Wilkerson, TW Allen, and BA Burgess Proceedings of the Southern Soybean Disease Workers are published annually by the Southern Soybean Disease Workers. Text, references, figures, and tables are reproduced as they were submitted by authors. The opinions expressed by the participants at this conference are their own and do not necessarily represent those of the Southern Soybean Workers. Mention of a trademark or proprietary products in this publication does not constitute a guarantee, warranty, or endorsement of that product by the Southern Soybean Disease Workers.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.756
Threshold uncertainty score0.816

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2440.146

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 head0.007
GPT teacher head0.164
Teacher spread0.158 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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