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Record W4309791441 · doi:10.1080/07060661.2022.2150318

Response of buckwheat to <i>Pratylenchus brachyurus</i> and <i>Meloidogyne javanica</i>

2022· article· en· W4309791441 on OpenAlexvenueno aff
Angélica Sanches Melo, Monique Thiara Rodrigues e Silva, Raiane Pereira Schwengber, Guilherme Tarini, Simone de Melo Santana‐Gomes, Elizeu Junior da Silva, Cláudia Regina Dias‐Arieira

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
Fundersnot available
KeywordsMeloidogyne javanicaBiologyHatchingNematodeBiological pest controlHorticultureHost (biology)BotanyEcology

Abstract

fetched live from OpenAlex

Antagonistic and non-host plants are some of the main strategies for nematode control, but the reaction of several plant species to these parasites remains to be investigated. This study aimed to evaluate the reaction of buckwheat to Pratylenchus brachyurus and Meloidogyne javanica and to assess the effect of buckwheat aqueous extract on P. brachyurus and M. javanica mortality and M. javanica hatching. Experiments were conducted under greenhouse and laboratory conditions. Treatments consisted of buckwheat ‘IPR-92 Altar’ and soybean ‘M6410 IPRO’ inoculated with different levels of P. brachyurus or M. javanica according to each experiment. Buckwheat was found to be a non-host to P. brachyurus. The RF of M. javanica on buckwheat ranged from 1.33 to 4.11, whereas the RF on soybean was 24.00. Buckwheat shoot extracts were effective in promoting nematode mortality and reducing M. javanica hatching. These findings indicate that buckwheat has potential as a cover crop for the control of P. brachyurus, but care is needed when introducing this plant to areas infested with M. javanica.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.333

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 communication0.0000.000
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 head0.012
GPT teacher head0.181
Teacher spread0.169 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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