Study on RP-HPLC Analysis on HMW-GS Wheat Cultivars in Heilongjiang Province and Its Method
Bibliographic record
Abstract
To investigate the HMW-GS over-expression of main wheat cultivars and advanced lines in the Heilongjiang province,48 wheat cultivars/lines were analyzed by SDS-PAGE and Reversed-phase high-performance liquid chromatography(RP-HPLC)in 2009 and 2011.Three HPLC columns from the same manufacturer and same Part No but different packing lots were used.The columns from different lots required inconsistent temperatures in separation of 8* subunit.Each HMW-GS could be effectively separated at a column temperature of 60℃ for one column,but 8* subunit submerged in the peak of 2 or 5 subunits at a column temperature of 60℃ for other two columns,and could only be effectively separated at a column temperature of 70℃.Therefore,in the analysis of wheat storage protein in the application of RP-HPLC,full account should be taken on the differences in column performance to determine the optimum column temperature in order to achieve better separation effect.The results indicated that over-expression subunit was limited to Bx7oe subunit in wheat cultivars/lines developed in Heilongjiang province and the Bx7oe subunit were from Canada Western Extra strong wheat cultivar Glenlea.In the different cultivars/lines with five HMW-GSs,the mean of relative content(single subunit peak area/total HMW-GS peak area×100)of Bx7oe subunit was 46%(range 43%~49%),other Glu-Blx subunit was 31%(range 26%~35%).Therefore,Bx7oe subunit was useful in wheat breeding and production for strong gluten or extra strong gluten.
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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 | 0.001 |
| 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".