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Record W2769054855 · doi:10.5539/jas.v9n12p223

Organic Fungicides with Adjuvants in the Prevention of Diseases at Wheat

2017· article· en· W2769054855 on OpenAlexvenueno aff
Sílvio Douglas Ferreira, Adriana Cologni Salvalaggio, Jaqueline de Araújo Barbosa, N.V. Costa

Bibliographic record

VenueJournal of Agricultural Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMineral oilFungicideLimeVegetable oilChemistryFood sciencePulp and paper industryAgronomyBiologyMaterials scienceOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

The efficiency of fungal solutions, without wheat in organic systems, can be improved with the use of adjuvants. The objective of this study was to evaluate the dispersion of fungal droplets of organic fungicides with adjuvants in wheat leaves and disease control efficiency. The experimental design used was the completely randomized design in factorial scheme 2 × 3, with 6 repetitions. The first factor corresponded to fungal solutions bordeaux syrup (200 g L-1) and lime sulfur syrup (200 g L-1) and second factor to the adjuvants: mineral oil and vegetable oil (0.5% v v-1) and one Witness without application.. On the adaxial side, the use of the mineral oil provided scatter of drop 111.8 and 25.7% higher, to the grouts without adjuvants and vegetable oil, respectively. The greater spreading of the droplets on the two foliar faces and a lower incidence of the diseases with the product of the lime sulfur syrup + mineral oil. The use of the adjuvants in the syrups evaluated with positive results in the production components, standing out the mineral oil.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 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
Published2017
Admission routes1
Has abstractyes

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