Seed storage proteins in cultivars and subspecies of alfalfa (<i>Medicago sativa</i> L.)
Bibliographic record
Abstract
Abstract Seed storage proteins were analysed in 27 varieties of alfalfa ( Medicago sativa L.); these included five subspecies ( glomerata, caerulea, falcata, hemicycla, praefalcata ), seven of the nine sources of Medicago germplasm introduced into North America and a sample of additional cultivars. The protein patterns were remarkably consistent for all of these taxa. One-dimensional and two-dimensional gel electrophoresis revealed only minor differences in polypeptide composition within each of the three major classes of storage protein (7S globulin, 11S globulin, 2S albumin). The slight variations that were found provided no information on either parentage or evolutionary relationships amongst these particular taxa. Nonetheless, persistent and reproducible heterogeneity of some minor polypeptides of 11S globulin (medicagin) may be useful under other circumstances for cultivar identification in alfalfa. Both subfamilies (I and II) of the 11S globulin were strongly expressed in all of the cultivars and subspecies examined. It was concluded that this structural divergence within the 11S storage protein family predated the evolution of the M. sativa L. species complex. Most of the variability in storage proteins was quantitative. However, even this variability was reduced when data were standardized with respect to seed dry weights. The consistent similarities in qualitative and quantitative expression of seed storage proteins amongst all of these taxa suggest a high degree of uniformity in both seed physiology and genetics within the alfalfa species complex.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 source (direct Gemma or distilled Codex), 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".