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Record W1905464100 · doi:10.1139/b2012-065

Shared mycorrhizal networks of forest herbs: Does the presence of conspecific and heterospecific adult plants affect seedling growth and nutrient acquisition?

2012· article· en· W1905464100 on OpenAlexvenueno aff
David J. Burke

Bibliographic record

VenueBotany · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBiologySeedlingNutrientBiomass (ecology)BotanyColonizationSymbiosisHost (biology)MycorrhizaColonisationAgronomyEcologyBacteria

Abstract

fetched live from OpenAlex

Arbuscular mycorrhizal fungi can colonize the roots of a large number of plant species and individuals, simultaneously creating a network of hyphae connecting the roots of many plants. In this study, I examined the effect of the mycorrhizal network produced by conspecific and heterospecific adult plants on growth and nutrient content of seedlings of Arisaema triphyllum (L.) Schott. and Maianthemum racemosum (L.) Link ssp. racemosum. Seedlings of both plant species were planted so that they could become colonized by the mycorrhizal network or remain uncolonized, and were planted in the presence of a conspecific or heterospecific adult plant. After 2 years of growth, seedlings were harvested and biomass and nutrient content were determined. Biomass of A. triphyllum seedlings was not affected by the identity of the adult plant or colonization by mycorrhizal fungi. Biomass of M. racemosum seedlings was significantly affected by adult plant identity and mycorrhizal colonization. Maianthemum racemosum seedlings grown near a conspecific adult were significantly larger than when grown near a heterospecific adult, and mycorrhizal M. racemosum seedlings grown near a heterospecific adult had significantly less biomass than nonmycorrhizal seedlings. This suggests that the mycorrhizal network of some plants may confer positive or negative effects on mycorrhizal seedlings as compared to nonmycorrhizal seedlings.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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