Genetic Analysis of New Sources of Soybean Resistance to Brown Stem Rot
Bibliographic record
Abstract
Brown stem rot (BSR) of soybean [ Glycine max (L.) Merr.], caused by Phialophora gregata (Allington & D.W. Chamb.) W. Gams 1971, is an economically important disease prevalent in soybean producing regions of the north‐central United States and Canada. To date, all BSR resistant genes identified are located on chromosome 16 (formerly molecular linkage group J). The objective of this study was to determine if four plant introductions from south‐central China identified as BSR resistant have resistance genes mapping to the same location on chromosome 16 as previously mapped BSR resistance genes. The four plant introductions, PI 594637, PI 594638B, PI 594650A, and PI 594858B, were crossed to the BSR‐susceptible cultivar ‘Century 84’ to develop four F 2 populations. Each segregating population and the parental lines were screened for BSR resistance in growth chamber conditions. The F 2:3 individual plants of each population were tested with the simple sequence repeat (SSR) markers Satt431 or Satt547, which map closely to BSR resistance quantitative trait loci (QTL) on chromosome 16. Associations between molecular data and phenotypic data used to validate QTL were analyzed using single factor ANOVA. Three of the four populations had markers on chromosome 16 significantly associated with BSR resistance with R 2 values from 24 to 48%. However, when marker Satt547 was regressed on BSR resistance in population PI 594637 × Century 84, no significant association was observed. This result suggests that PI 594637 could have a new BSR resistance gene. Transgressive segregation also was observed in this population, and highly BSR resistant progeny could be used in the development of BSR resistant cultivars. Additional research and testing in this population will be conducted to identify resistance QTL(s) from this source.
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.
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 | 0.003 |
| Science and technology studies | 0.000 | 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".