The Evaluation and Utilization of New Genes for Brown Planthopper Resistance in Common Wild Rice (<i>Oryza rufipogon</i> Griff.)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Brown planthopper (BPH, Nilaparvata lugens Stal) is one of the most serious rice insect pests in Chinaand the world. Exploiting new resistance genes and breeding advanced genetic stocks are important for breeding resistance varieties. In this study, more than 1 200 accessions of common wild rice ( Oryza rufipogon Griff.), were evaluated for the resistance to several biotypes of BPH. 30 resistant accessions were obtained and 6 of them showed broad spectrum resistance to 5 or all of the 6 BPH biotypes, i.e. biotypes 1 and 2, Bangladesh, Mekong (Vietnam), Cuulong (Vietnam) and Pantnagar (India), which are spreading most rice growing regions in the world. Genetic analysis was turned out that the BPH resistance in these stocks was controlled by two pairs of recessive genes with duplicate interaction against biotypes 2 and Cuulong, but the resistance to the biotype Pantnagar was controlled by one pair of recessive gene. This indicated different genetic mechanism of reaction against BPH biotypesin the resistant sources. The two recessive genes existing in the entry 2183 might be new discovered genes as no BPH resistance gene has been reported in these chromosome regions. They were tentatively designated asbph18 (t) and bph19 (t), respectively. A total of 143 entries of advanced genetic stocks resistant to BPH and 6promising resistance lines or hybrid combinations with high yield or good quality were bred. These resistant advanced genetic stocks set a solid foundation for breeding new resistance varieties.
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.
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 | 0.000 | 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) | 0.000 | 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 it