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Record W2515120763 · doi:10.5539/sar.v5n4p24

Effect of Inoculation with Arbuscular Mycorrhizal Fungi on Selected Spring Wheat Lines

2016· article· en· W2515120763 on OpenAlexafffundvenue
Yonaisy Mujica Pérez, Christiane Charest, Yolande Dalpé, Sylvie Séguin, Xuelian Wang, Shahrokh Khanizadeh

Bibliographic record

VenueSustainable Agriculture Research · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Ottawa
FundersAgriculture and Agri-Food CanadaGovernment of Canada
KeywordsInoculationBiologyMicrobial inoculantHorticultureSugarAgronomyRandomized block designFood science

Abstract

fetched live from OpenAlex

<p class="sar-body"><span lang="EN-US">An experiment was performed in a completely randomized split-plot design using five lines of spring wheat (<em>Triticum aestivum </em>L.) (AW-774, AC Carberry, HY-162, Major and AAC Scotia) and two arbuscular mycorrhizal fungi (AMF) strains (<em>Rhizoglomus irregulare </em>and <em>Glomus cubense</em>). Two different inoculant forms (solid and liquid) for the <em>G. cubense</em> strain were evaluated. The main plot was AMF, and the subplot was spring wheat lines. Data on heading date, plant height, fresh, and dry biomass, yield, grain quality (chemical composition of the seeds, gluten, and sugar), root structure, and colonization by AMF were collected. The results show a positive effect of inoculation in comparison with the control treatment. The liquid and solid <em>G. cubense</em> inoculants provided better results than inoculation with <em>R.</em> <em>irregulare</em>. Fungus indicators were in agreement with root morphological parameters because of the effect induced by AMF activity. Yield increased significantly in the mycorrhizal treatments.</span></p>

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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

Citations15
Published2016
Admission routes3
Has abstractyes

Explore more

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