Genetic improvement of clubroot resistance in the recessive genic male sterile line YA001 in Brassica napus
Bibliographic record
Abstract
Clubroot disease poses a serious challenge to global rapeseed production, including major growing regions in China. Introgressing clubroot-resistant (CR) genes into rapeseed is an efficient way to prevent the spread of this disease. YA001 is a stable recessive genic male-sterile (RGMS) three-line system in Brassica napus with good combining ability but high susceptibility to clubroot. To improve the clubroot-resistant of YA001, ‘Bing409R’, which exhibits excellent disease resistance and contains the CR gene CRb , was used as the donor parent, and the male-sterile line YA001 was used as the female parent for hybridization in Anhui Province. The temporary maintainer line of YA001 was then used as the recurrent parent for backcrossing. Marker assistant selection was conducted for the CR gene and fertility-related genes. In each backcrossing generation, individuals with the genotype RrMs 3 ms 3 Rf b Rf c were selected. After 4 generations of backcrossing, self-pollination was performed, and homozygous CR RGMS three-lines were developed from the self-pollinated progeny. Inoculation tests under controlled conditions showed that the disease index of improved YA001 was 8.7, exhibited high clubroot resistance. Hybrid combinations developed by CR YA001 demonstrated superior yield performance and effective disease resistance when cultivated in infested region. And the highest-yielding of CR combinations achieved 3273.15 kg/ha while susceptible control was only 1279.8 kg/ha. This study provides a rapidand efficient method for breeding homogeneous CR RGMS three-lines. Furthermore, these developed lines serve as an important genetic resource for the high-throughput selection of strong heterosis and CR combinations, thereby contributing to the control of clubroot spread.
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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".