Spatiotemporal shading regulates anthocyanin, proanthocyanidin, and sucrose accumulation in black soybean seeds
Bibliographic record
Abstract
Abstract The accumulation of soybean seed constituents such as anthocyanin, proanthocyanidin (PA), and sucrose is affected by various environmental stresses. Considerable information is available on the effects of different environmental stresses; however, the effect of shade at various development stages on the accumulation of the various seed constituents remains elusive. We investigated the effect of shade application on anthocyanin, PA, and sucrose contents at different seed development stages of two black soybean [ Glycine max (L.) Merr.] varieties. This study comprised two separate trials: maize–soybean relay intercropping (IC) and soybean monoculture. The shade treatments in the soybean monoculture trial comprised shade applications at whole growth stage, at vegetative stage (SV), and at reproductive stage (SR) and a no‐shade control. Anthocyanin, PA, and sucrose contents were analyzed from seeds obtained at development stages of full‐size seed (R6), physiological maturity (R7), full maturity, 95% mature pods on the plant (R8), and natural air dry (AD). Genotype, shade, and planting season and their interactions had a strong influence on anthocyanin, PA, and sucrose accumulation in soybean seeds at the different seed development stages. Among all the shade treatments, relay IC recorded the highest anthocyanin contents in 2017 (1.88 mg g −1 ) and 2018 (1.76 mg g −1 ) in AD seeds. In addition, the application of shade increased PA, and maximum PA (27.14 mg g −1 ) was obtained in the SV treatment at R6 stage. The overall best sucrose contents (6.14 mg g −1 in 2017 and 7.04 mg g −1 in 2018) were obtained in soybean seeds harvested at R8 under SV treatment.
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 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".