Forage yield and nutritive value of potato leafhopper-resistant and susceptible alfalfa cultivars grown in Quebec
Bibliographic record
Abstract
The potato leafhopper (PLH; Empoasca fabae (Harris)), a pest affecting several crops including alfalfa ( Medicago sativa L.), is a recurrent problem in several regions in the province of Quebec. A field experiment was conducted at three sites over three growing seasons to evaluate the impact of foliar insecticide applications and the use of PLH-resistant cultivars on forage yield and PLH population dynamics. In the seeding year, insecticide applications effectively reduced PLH populations but did not lead to significant yield increases compared to untreated controls. However, at one site, three insecticide applications in the seeding year resulted in increased first-cut yields in the post-seeding year of some cultivars compared to untreated controls. Yield differences between PLH-resistant and PLH-susceptible cultivars were minimal and variable in the seeding and post-seeding years regardless of the PLH population levels. Insecticide applications increased crude protein concentration of PLH-susceptible and some PLH-resistant cultivars in the seeding year. With high PLH populations in the seeding year without insecticide applications at one site, two PLH-resistant cultivars had higher crude protein concentrations compared to susceptible ones. Under relatively low PLH populations, the overall benefit of currently available PLH-resistant cultivars may be limited. However, further research is needed to confirm these results, as PLH populations remained relatively low in all post-seeding year environments.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".