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Record W2021152867 · doi:10.1086/314291

Seasonal Changes in Perennial Nodules of Beach Pea (<i>Lathyrus maritimus</i> [L.] Bigel.) with Special Reference to Oleosomes

2000· article· en· W2021152867 on OpenAlexafffundabout
C. Gurusamy, Philip J. Davis, A. K. Bal

Bibliographic record

VenueInternational Journal of Plant Sciences · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyNodule (geology)DormancyMeristemBotanyCropLipid dropletEcologyCell biology

Abstract

fetched live from OpenAlex

Beach pea (Lathyrus maritimus [L.] Bigel.), a potential cold‐climate circumpolar legume crop, grows along the shorelines of Newfoundland, Canada. The nodules undergo winter dormancy and become active in the spring season. The nodules sampled in winter show dormant tissue and bacteria without any loss of structural integrity. In the senescent zone, bacteroids are found to be disintegrated. Oleosomes (lipid bodies) are clearly localized in the meristem, invasion zone, interstitial cells of the symbiotic and senescent zone, vascular tissue, and cortical cells of both winter and summer nodules. In all the tissues, significantly large numbers of oleosomes are seen in histological preparations of nodules sampled in winter compared with nodules sampled in summer. As winter approaches, the nodules show increasing accumulation of lipids. The nodule tissues are protected from winter stress and pathogen attack by suberized peridermal cells. We propose multipurpose functions of oleosomes in root nodules of beach pea, including the release of energy for various metabolic functions in the cells, to prevent freezing in the localized microenvironment of the cells, and to insulate the cells and supply fatty acids for membrane synthesis during cell growth.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.999

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 science0.0010.000
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 head0.023
GPT teacher head0.233
Teacher spread0.210 · 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

Citations20
Published2000
Admission routes3
Has abstractyes

Explore more

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