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Record W7117122874 · doi:10.1139/cjps-2025-0181

Forage yield and nutritive value of potato leafhopper-resistant and susceptible alfalfa cultivars grown in Quebec

2025· article· en· W7117122874 on OpenAlexaffvenueabout
Xiawei Shi, Philippe Séguin, Julien Saguez, Huguette Martel, Annie Claessens

Bibliographic record

VenueCanadian Journal of Plant Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsAgriculture and Agri-Food CanadaGrain Research CentreMcGill University
Fundersnot available
KeywordsCultivarForageSeedingYield (engineering)PopulationMedicago sativaPEST analysisLeafhopper

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.232
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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