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Soil Nematodes of Brassica rapa: Influence of Temperature and pH

2013· article· en· W1489283971 on OpenAlexvenueno aff
Martin M. Matute

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrassica rapaNematodeBiologyOmnivoreHelicotylenchusSoil food webAgronomySoil biologyPEST analysisEcologyBotanyAnimal scienceBrassicaSoil waterPredation

Abstract

fetched live from OpenAlex

An investigation of the soil nematodes associated with Brassica rapa and the effects of temperature and pH on their populations was carried out. The nematodes recovered were categorized into three ecologically functional groups; Nitrogen Releasing Nematodes (NRN, bacterial- and fungal- feeders), Plant-Parasitic Nematodes (PPN), and Pest Suppressor Nematodes (PSN, Carnivorous or predatory (Ca) and Omnivorous (Om), nematodes). While over 67% of the NRN were bacterial feeding nematodes (Ba 2 ), dominated by Plectus and Acrobeloides; over 65% of the PPN were contributed by the Pl 3 nematodes dominated by Helicotylenchus mucronatus and Rotylenchus buxophilus ; and the PSN were dominated (over 63%) by the omnivores (Om 4 ; Mesodorylaimus and Dorylaimus). Populations of all the nematode categories recovered fluctuated significantly (P < 0.01) during the sampling period. All the nematode groups were similarly weakly negatively correlated with pH and temperature. Approximately 1000 H. mucronatus nematodes/100 mL of soil was recorded. This is 10x the value for which the management of PPN is recommended. The entire soil nematode food web structure was represented in the nematodes recovered, all groups of nematodes responded similarly to environmental changes, all groups of nematodes tended to be acidophilic and thermophobic, and the PPN could potentially be a threat for profitable B. rapa production.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.005
Science and technology studies0.0000.004
Scholarly communication0.0000.007
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 head0.005
GPT teacher head0.250
Teacher spread0.244 · 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.

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

Citations23
Published2013
Admission routes1
Has abstractyes

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