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Record W2359824751

Study on the Effect of Different Element Deficiency on the Physiological Characteristics of Local Rice in Guizhou

2011· article· en· W2359824751 on OpenAlexvenueno aff
Degang Zhao

Bibliographic record

VenueSeed · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsStomatal conductancePhotosynthesisNutrientChlorophyllChemistryBotanyBiologyAgronomyHorticultureEcology
DOInot available

Abstract

fetched live from OpenAlex

Six Guizhou local rice Congjiang Red Waxy,Rongjiang short waxy,Huishui Black waxy,Congjiang Black Waxy,Gouyangdang and Liping Wuminghe and conventional variety EY 105 were cultured in solution medium,and studied the effects on chlorophyII content,stomatal conductance and net photosynthetic rate during rice three leaves stage.The results showed that the leaf chlorophyll contents decreased in different nutrient deficiency except Huishui Black waxy increasing in P nutrient deficiency.It was different that changes of leaf stomatal conductance under different nutrient deficiency treatment.Except K and P nutrient deficiencies,the changes of leaf net photosynthetic rate and stomotal conductance in nutrient deficiency were significantly different with that in the full nutrient element solution.The changes of leaf net photosynthetic rate changes were related with the leaf stomatal conductance and other non-stomatal factors.Huishui Black waxy,Congjiang Black Waxy,Congjiang Red Waxy and Rongjiang short waxy had stronger resistance to nutrient deficiency stress than that of other rice varities.

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 score0.015
Threshold uncertainty score0.030

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)0.0010.000

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 head0.019
GPT teacher head0.206
Teacher spread0.186 · 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
Published2011
Admission routes1
Has abstractyes

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