Identification of novel quantitative trait loci associated with tolerance to phytophthora root rot in the soybean cultivar Hefeng 25 using two recombinant inbred line populations
Bibliographic record
Abstract
The objective of this study was to identify quantitative trait loci (QTL) related to phytophthora root rot (PRR) tolerance and to analyze their genetic effects through two recombinant inbred line populations between tolerance cultivar Hefeng 25 and two susceptible cultivars (Dongnong 93046 for the HD population, including 140 F 5:9 lines, and Maple Arrow for the HM population, including 149 F 5:10 lines) based on greenhouse evaluation of PRR. A total of five and seven QTL underlying tolerance to PRR were identified in the HD and HM populations, respectively. Phenotypic variation explained by the QTL ranged from 1.27% to 10.41% in the HD population and from 1.68% to 12.65% in the HM population. Of these QTL, three (qHDPRR-4 in the HD population and qHMPRR-1 and qHMPRR-3 in the HM population) were identified in similar genomic regions reported previously. Nine new QTL contributed by Hefeng 25 were found in the present study (four in the HD population and five in the HM population). Three QTL in the HD and five QTL in the HM populations had higher additive effects that were likely to be stable across multiple environments or genetic backgrounds. Moreover, four and five epistatic pairwise QTL were found to underlie tolerance to PRR in the HD and HM populations, respectively.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".