Disease Expression and Ecophysiological Yield Components in Sunflower Isohybrids with and without <i>Verticillium dahliae</i> Resistance
Bibliographic record
Abstract
ABSTRACT Verticillium wilt ( Verticillium dahliae Kleb.) is an important disease affecting sunflower ( Helianthus annuus L.) in most production areas in Argentina, Canada, and the United States. Estimation of yield losses produced by the disease is difficult because of the absence of highly efficient chemical control and resistant hybrids of comparable yield potential. In this work nine pairs of isohybrids with and without resistance to V. dahliae were sown at five different locations and evaluated under natural infection to determine disease induced yield reductions across environments with varying V. dahliae incidence. The effects of the disease on physiological components of growth were studied in a separate trial with three pairs of isohybrids. Disease incidence and severity for resistant isohybrids (R) were zero or nearly zero independently of their genetic background in all locations, indicating the isohybrids were highly resistant or immune. In the most severe environments, grain and oil yield of susceptible isohybrids (S) were nearly 30% less than those of the resistance couterparts. The incorporated resistance resulted in an increased percent radiation interception and radiation use efficiency (RUE). However, the effect of the disease on crop growth rate was evident after flowering. Up to that phenological stage, leaf expansion, radiation interception and photosynyhetic rate did not differ between R and S isohybrids.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".