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Record W4255301233 · doi:10.1002/9781119312994.apr0516

Phosphorus: Back to the Roots

2017· other· en· W4255301233 on OpenAlexaff
Hans Lambers, William C. Plaxton

Bibliographic record

VenueAnnual Plant Reviews online · 2017
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsQueen's University
Fundersnot available
KeywordsRhizosphereNutrientPhosphorusChemistrySoil waterEnvironmental chemistryAgronomySoil pHSoil organic matterBiologyEcologyBacteria

Abstract

fetched live from OpenAlex

Abstract Phosphorus (P) is a pivotal nutrient for all life on Earth. It is poorly mobile in soil and inorganic P concentrations in the soil solution are <0.6 to 11μM. Organic P concentrations in the soil solution tend to be higher, but organic P needs to be hydrolysed before it can be taken up by plant roots. Such hydrolysis involves phosphatases that are either released from the roots or derived from microorganisms in the rhizosphere. A large fraction of soil P is sorbed onto soil particles, and hence is unavailable to most plants. Roots that release large amounts of P‐solubilising carboxylates can access some of this sorbed P. Rates of P uptake from the soil solution are determined predominantly by the movement of P in soil. Root traits that enhance P movement in soil increase P acquisition; however, the kinetic properties of P transporters that take up this P have little effect on net P uptake. The downregulation of genes encoding these transporters is important to avoid P toxicity at a high P supply. Species or genotypes that lack the capacity to downregulate their P‐uptake capacity typically show P‐toxicity symptoms at a high P supply. Mycorrhizal symbionts increase the soil volume that is available for P acquisition. Attempts to select or engineer genotypes with greater P‐uptake capacities should consider both root and soil characteristics, including soil microorganisms such as mycorrhizal fungi.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0430.027

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 head0.039
GPT teacher head0.268
Teacher spread0.230 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations22
Published2017
Admission routes1
Has abstractyes

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