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Record W7162020893 · doi:10.82308/20038

Maize root colonization by arbuscular mycorrhizal fungi

2022· dissertation· en· W7162020893 on OpenAlexaboutno aff
Emal Sobat

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsColonizationFertilizerArbuscular mycorrhizalCropArbuscular mycorrhizaMycorrhizaArbuscular mycorrhizal fungiPoaceaePhosphorus

Abstract

fetched live from OpenAlex

Maize is a major cereal crop that requires a well-developed root system to support the production of ≥8 tonnes of grain ha-1 in Quebec, Canada. Maize has pre-embryonic (primary and seminal) and post-embryonic (crown and brace) roots that are usually colonized by arbuscular mycorrhizal fungi. However, root colonization with arbuscular mycorrhizal fungi may be constrained by fertilizer use, particularly when phosphorus (P) fertilizers are applied and the plant-available phosphorus concentration of soil increases, based on greenhouse and growth bench experiments. Furthermore, maize root types may have different amounts of arbuscular mycorrhizal fungi colonization that are not detected with random sampling, which may create a bias in estimating the root colonization percentage. The objectives of this thesis were 1) to determine whether maize root colonization by arbuscular mycorrhizal fungi varied with the plant-available P concentration in soil, based on a gradient of Mehlich-3 extractable P levels following 3 yr of organic and inorganic P fertilizer application to agricultural field plots, 2) to determine if greater root colonization by arbuscular mycorrhizal fungi is associated with more P uptake by maize, and 3) to compare the arbuscular mycorrhizal fungi colonization in maize roots collected at random or from anatomically distinct types (primary, seminal and crown roots) from the V3 to V6 growth stages. The field experiment involved collecting maize plants from agricultural plots with a 3 yr history of organic and inorganic P fertilizer treatments that created a 20-fold difference in the plant-available P concentration, from 12 to 204 mg Mehlich-3-P kg-1. Although the proportion of maize roots colonized with arbuscular mycorrhizal fungi increased from 26 - 2% during vegetative growth (V8 and VT growth stages) to 46 - 2% in the reproductive R2 and R6 stages, root colonization was not affected by P fertilizer application. There was more arbuscular mycorrhizal fungi colonization of maize roots with an increase in plant-available P concentration in soil (r=0.12, P=0.05, n=237), and greater root colonization by arbuscular mycorrhizal fungi was associated with greater P uptake in the maize shoots (r=0.53, P<0.001, n=240). This finding may reflect the greater soil fertility in plots with higher P fertilizer inputs, rather than a direct effect of arbuscular mycorrhizal fungi on P acquisition by maize. In a controlled growth chamber experiment with non-sterile field soil, arbuscular mycorrhizal fungi colonization was evaluated from the V3 to V6 growth stages on distinct maize root types – primary, seminal, and crown – as well as a random sample of lateral roots. Root colonization by arbuscular mycorrhizal fungi increased during maize growth and was always greater in the primary and seminal roots than in the crown and mixed samples. Crown roots were 3–4 times longer with greater surface area, diameter, and volume than primary and seminal roots, but there was no difference in the lignin, cellulose, and hemicellulose content of these root types. Thus, the abundance of arbuscular mycorrhizal fungi on maize roots is affected by root sampling procedures. In summary, this work reveals that arbuscular mycorrhizal fungi are robust colonizers of maize roots, regardless of soil P levels, with preferential colonization of the pre-embryonic primary and seminal roots during early vegetative growth stages

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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