Effect of Exogenous SNP,a Nitric Oxide Donor,on Photosynthesis and Allocation of Photosynthetic Excitation Energy in Leaves of Mulberry under Drought Stress
Bibliographic record
Abstract
[Objective] To explore the effect of exogenous nitric oxide on photosynthesis and the allocation of photosynthetic excitation energy of mulberry under the drought stress,this study examined the changes of exogenous nitric oxide on the gas exchange parameters of photosynthesis and the chlorophyll fluorescence parameters in leaves of mulberry under the drought stress. [Method] The study used one-year-old fodder mulberry as the experimental material,and used sodium nitroprusside( SNP) as the donor of NO. The experiment had four treatments and repeats every treatment three times. There were four solutions,such as Hoagland( CK),1mmol/LSNP + Hoagland( CK + SNP),20% PEG( 6000) + Hoagland( PEG) and 20% PEG( 6 000) + 1 mmol/LSNP + Hoagland( PEG + SNP) to treat the roots of the mulberry on the study day.[Result]The increases of the intercellular CO2concentration( C i) and the decreases of the maximum net photosynthetic rate( A max),the photosynthetic rate( P n),stomatal conductance( G s),transpiration rate( T r),water use efficiency( WUE) were significantly alleviated under the drought stress by pretreatment SNP in the normal concentration of CO2. Under drought stress,maximum photochemical efficiency( Fv/Fm),electron transport rate( ETR),photochemical quenching( q P),actual PSII efficiency( PSII) were significantly decreased,but initial fluorescence( F o) and non-photochemical quenching( NPQ) were significantly increased. After pretreated with SNP,P n,G s,T r,WUE,F v/ F m,ETR,q P and PSII were evidently increased,while Fo and NPQ were significantly decreased. After pretreated with SNP,a combined flux of fluorescence and constitutive,light-independent thermal dissipation(Фf,D) in the leaves of mulberries were significantly increased. Under pretreated with 20% PEG( 6 000) + 1 mmol/L SNP + Hoagland,a flux associated with photochemical electron flow in active PSII reaction centers(ФPSⅡ) was the highest in the proportion,and light-independent thermal dissipation in active PSIIs( ФNPQ) was low. The rate of the later electron transports energy or the Q A-under the serious drought could be increased by SNP,and the openness of activity reaction center and the electron transport rate were also increased. [Conclusion]NO could alleviate the decrease of photosynthetic rate and the damage of photoinhibition on photosynthetic system. And the increase of non-photochemical efficiency and antennae heat dissipation was probably the mechanism that NO protected photosynthetic system and improved photosynthetic ability under drought stress.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".