Self-fertilization family establishment and its depression in bay scallop Argopecten irradians
Bibliographic record
Abstract
The bay scallop Argopecten irradians in this experiment was the F7 offspring of the scallop introduced from Canada in 1992. Fifteen adults were divided into three groups, each with five individuals. Each group was randomly selected to establish selffertilization family (SFF), and each group had its control reproduced by mixed crossing of more than 20 individuals. The fertilization rates in all groups are high and close to those in controls, however, in SFF groups, the hatching rate varied from 1.35% to 68.23%, which was less than that in controls (56.76% to 75.00%). The growth rate of body weight and shell length in SFF were obviously lower and the settlement was delayed five days in F1 and ten days in F2 than those in controls. Fourteen families in all SFF groups obtained their offspring from 13 to 186 individuals in each family, which grew to adult and could produce F2. The conclusion is that selffertilization may be used for the rapid establishment of inbred line and purification of useful alleles. The analysis of variance showed that most of SFF had a significant difference (P≤0.05) in shell length, shell height and total wet weight (TWW) with their group controls, but TWW in group A (P≥0.05). The experiment proves that selffertilization will lead to selffertilization depression (SFD) involved in developmental delay and miniaturization. The SFD in veliger was 25.9% and 12.7% in adult. To investigate the effects of selffertilization, shell length, shell height and body weight were compared between SFF and control and the results showed that there was a significant difference (P0.05).
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 | 0.000 | 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) | 0.001 | 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".