Combining Ability Determination of Chemical Structures and Grain Yield of Grains (Triticum Aestivum. L)
Bibliographic record
Abstract
Abstract The crosses were carried out according to the half-reciprocal cross-hybrid system proposed by of ten genotypes of bread wheat (Triticum aestvum.L) in the agricultural season (2018-2019) in the fields of a farmer in Baladrooz district - Diyala governorate. Crosses were carried out between them to obtain the seeds of the first generation of 45 hybrids according to the second Krvenk method, the second model. Parents and first-generation crosses were planted in the second season on (25) November 2020 using the RCBD and with three replications. Estimated (grain yield, protein, total and dry gluten, ash). The results of the analysis of variance for the studied traits of the mean squares of the genotypes of fathers and individual crosses and fathers against crosses were significant at the 1% probability level for all traits except for fathers against crosses. The performance of the genotypes in the studied traits in the trait of grain yield in the father (4) was superior and gave the highest rate of (72.08) gm plant ¯1 , and the hybrid (1×10) was significantly superior to the rest of the crosses with an average of (80.39) gm plant ¯1 . In the percentage of protein, it was superior to the Parent (1) and gave the highest percentage of protein (15.28%). The hybrid (2×3) was significantly superior with the highest percentage of protein (15.78)%. And for the trait of total gluten is superior to the Parent (6), the percentage of gluten in it is (74.0)%. The hybrid (8×6) was superior with the highest value of the gluten percentage which reached (88.67)%. In the trait of dry gluten, Parent (6) had the highest percentage of dry gluten, which was superior with a percentage of total gluten that amounted to (32.10%), while in crosses, the hybrid (1×2) had the highest percentage of dry gluten (22.80). The highest ash value reached (2.32), while in the hybrids (4×8) the hybrid surpassed with the highest ash value (2.66).The estimates of the general combing ability for each were positive in grain yield and significantly in the Parent (1, 3, 4, 9, 10). As for the estimates of the special effects of each individual hybrid for the studied traits, they were positively affected in the grain yield and in the desired direction in the direction of sixteen hybrids, the most important of which are (1×8), (1×10), (2×3), (2×4) and (2×). 6) In the proportion of protein, it was a significant positive desirable at the probability level of 1% in the hybrids, including (1×10) and (2×3).
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".