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Record W2361927941

Effects of Alkaline Stress on Growth Photosynthesis Pigment and Anti-oxidation of Muskmelon Seedling

2011· article· en· W2361927941 on OpenAlexvenueno aff
Xueqin Dong

Bibliographic record

VenueSeed · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Soil, Plant Science
Canadian institutionsnot available
Fundersnot available
KeywordsSeedlingMelonShootChlorophyllPhotosynthesisHorticulturePhotosynthetic pigmentPigmentPoint of deliveryChemistryAntioxidantBiologyBotanyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

The effects of alkaline stress(0,15.0,30.0,45.0 and 60.0mmol/L Na2CO3)on the growths photosynthesis pigment and anti-oxidation of the seedling of two muskmelon varieties,hefeng No.7 and wulongbai,were studied by sand culture in artificial climate box.The results showed that the ceiling concentration for the two varieties to be able to tolerate alkaline stress was 60.0mmol/L.Under the conditions of low concentration(15.0mmol/L) alkaline stress,the muskmelon seedling growed normal,melon seedlings dry and fresh weight of ground and underground and root shoot ratio(fresh) increased.With the increase of alkali concentration in the medium,melon chlorophyll content and the above indicators decreased,antioxidant enzyme activity first increased and then decreased.POD activity of super wulongbai had a moderate increase while CAT activity had a lager decline.Chla,car content and stability of the protective enzyme system of hefeng No.7 had stronger alkali tolerance than that of wulongbai.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 head0.013
GPT teacher head0.182
Teacher spread0.169 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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