Успадкування підвищеного вмісту білка гібридами першого покоління пшениці м’якої озимої (Triticum Aestivum L.)
Bibliographic record
Abstract
Results of bread winter wheat breeding for increased protein content in grain were given. Purpose. Creation a new breeding material by hybridization method for increased levels of protein content in grain. Methods and material. For creation a new breeding material by hybridization method for increased levels of protein content in grain the varieties: AC MACKINNON, KRISTY, VIENNA, HARVARD (Canada), MV-10-02 (Hungary), NS 124-01 (Yugoslavia), NE 97669 (USA), MEWA (Poland), SKAHEN, DROMOS (Germany), OTAMAN, BENEFIS (Ukraine) differing by this trait have been used. Based on these samples 16 simple combinations of crossing in 6 ways: 1 – high protein content / high protein content; 2 – high protein content / medium protein content; 3 – medium protein content / high protein content; 4 – high protein content / low protein content; 5 – low protein content / high protein content; 6 – medium protein content / medium protein content were formed. Results. Variety samples of foreign breeding for high levels of this trait were identified. The level of expression of dominance for increased protein content in grain in hybrids of the first generation was determined. When testing hybrid combinations of the first generation for protein content in grain from crosses of different parental forms, in the most cases combinations with lower content than in the parental components predominated (negative dominance hp = -0,5 – -11,2). Conclusions. Depending on group of crossing there is a trend: in the group of high protein content / high protein content almost all variants of the first generation hybrids high indices of the trait protein content in grain were obtained, what is valuable in further selection levels.
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 | 0.001 | 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 | 0.001 | 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".