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Record W2340089234 · doi:10.1071/fp15336

Stomatal conductance scales with petiole xylem traits in Populus genotypes

2016· article· en· W2340089234 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFunctional Plant Biology · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsXylemPetiole (insect anatomy)BiologyEcophysiologyBotanyVascular bundleLaminaStomatal conductanceConductancePhotosynthesis

Abstract

fetched live from OpenAlex

Progress has been made in linking water transport in leaves with anatomical traits. However, most of our current knowledge about these links is based on studies that sampled phylogenetically distant species and covered a wide range of leaf size and morphology. Here we studied covariation of leaf anatomical traits and hydraulic capacity in five closely related hybrid poplar genotypes. Variation in stomatal conductance and leaf hydraulic conductance was not linked to vein density or other anatomical lamina properties. A strong correlation was found between stomatal conductance and the transport capacity of the petiole, estimated from the diameter and number of xylem vessels. An inverse relationship existed between leaf size and major vein density. The role of bundle sheath extensions is discussed. Our data suggests that petiole xylem is an important predictor of gas exchange capacity in poplar leaves.

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.

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 score0.108
Threshold uncertainty score0.808

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)0.0010.000

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 head0.182
Teacher spread0.173 · 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