Breeding and Evaluation of a New-Bred Semi-Leafless Pea (Pisum sativum L.) Cultivar Longwan No. 6
Bibliographic record
Abstract
The pea (Pisum sativum L.) is an excellent protein source for livestock and human nutrition. However, its growth is hampered by several factors including powdery mildew (Erysiphe pisi DC) and lodging in irrigation areas. These limitations may be solved through combining a Canada powdery mildew-resistant pea (Mp1807) with green cotyledon cultivar (Graf) by means of sexual hybridization. A bred semi-leafless pea, cultivar Longwan No. 6, was selected and evaluated in multiple ecological zones to investigate and evaluate high-yield, adaptability, and resistance to root rot (Aphanomyces euteiches Drechs. f. sp. pisi) and powdery mildew from 2012 to 2014. The results revealed that Longwan No. 6 was characterized by lodging resistance and moderate powdery mildew resistance. The average grain yield of Longwan No. 6 is 2855.3 kg/hm2 in spring sowing and is increased by 18.4% compared to the control cultivar (Longwan No. 1). The average grain yield of Longwan No. 6 is 2349.9 kg/hm2 in winter sowing and is increased by 12.8% when compared to the control cultivar. The results indicated that Longwan No. 6 has a greater potential to increase yield and wide adaptability. Adopting the Longwan No. 6 pea cultivar contributes to improvements in pea production in irrigation areas.
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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 | 0.001 |
| 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".