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Record W3105125459 · doi:10.7202/1072869ar

Humic acid may retard damages of cells in strawberry apices in high saline environment

2020· article· en· W3105125459 on OpenAlexvenueno aff
Yong‐Hong Lin, Yao-Tsung Chang

Bibliographic record

VenuePhytoprotection · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth Enhancement Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumic acidSalt (chemistry)PotassiumChemistrySodiumHorticultureFragariaSalinitySalineSodium saltBotanyBiologyAgronomyInorganic chemistry

Abstract

fetched live from OpenAlex

Most studies were focused on the salt-resistance physiology by humic acid (HA) for strawberry in the past. For advancely verifying the remission of salt injury by humic acid, this study was conducted to evaluate K + /Na + in the strawberry and observe cell morphology of strawberry after treatment of salt concentrations (0 and 50 mg kg -1 ) and HA (0, 150 and 300 mg kg -1 ). The results showed that the treatments of humic acid will increase the absorption of K + (potassium ion) and reduce Na + (sodium ion), and hence increase K + /Na + in the root and leaf of strawberry. By the observing of SEM (scanning electron microscopy) and TEM (transmission electron microscopy), under no salt treatments, no matter the additive concentration of humic acid, the root apices of strawberries were normal and integrity. However, in the treatments of high salt concentration, the shrinking and cracking of cells in root apices of strawberries were serious and gradually getting integrity and normal after adding humic acids from 150 to 300 mg kg -1 . These results showed that the appropriate treating concentration of humic acid will inhibit the salt injury on root apices of strawberries.

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 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 score0.146
Threshold uncertainty score0.159

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)0.0000.000

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 head0.021
GPT teacher head0.202
Teacher spread0.181 · 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.

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
Published2020
Admission routes1
Has abstractyes

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