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Record W2262947584 · doi:10.1111/eea.12400

Responses by the brown planthopper, <i><scp>N</scp>ilaparvata lugens</i>, to conspecific density on resistant and susceptible rice varieties

2016· article· en· W2262947584 on OpenAlexfundno aff
Finbarr G. Horgan, B. S. S. Siddartha Naik, Eko Hari Iswanto, Maria Liberty P. Almazan, Angelee Fame Ramal, Carmencita C. Bernal

Bibliographic record

VenueEntomologia Experimentalis et Applicata · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
FundersResearch Nova ScotiaAsian Development BankBill and Melinda Gates Foundation
KeywordsBrown planthopperBiologyNymphIntraspecific competitionCompetition (biology)Population densityPlanthopperHomopteraPopulationAgronomyBotanyPEST analysisEcologyHemiptera

Abstract

fetched live from OpenAlex

Abstract This study examines the nature of intraspecific interactions among N ilaparvata lugens ( S tål) ( H emiptera: D elphacidae) planthoppers feeding on resistant and susceptible rice varieties. Planthopper nymphs produced less honeydew and gained less weight when feeding on rice variety IR 62 (resistant) compared to susceptible rice varieties. A series of bioassays was conducted that varied N . lugens nymph densities on IR 62 and IR 22 (susceptible). Increasing nymph density facilitated feeding by conspecifics; however, intraspecific competition increased mortality of nymphs on IR 62 (but rarely on IR 22). Furthermore, nymph weights declined with increasing conspecific density on IR 22, and the effects were weak on IR 62. More female nymphs than males survived on IR 62 but this was not affected by density. Nitrogenous fertilizer increased competition among N . lugens on young plants of IR 22, but not on IR 62. Results indicate that nymphs have a low efficiency in accessing resources when feeding on IR 62, even where the plants have received fertilizer. Female‐biased survival and biomass compensation for mortality may promote population recovery after development on the resistant plant and accelerate adaptation to the resistant variety.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.253
Teacher spread0.232 · 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 designBench or experimental
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

Citations22
Published2016
Admission routes1
Has abstractyes

Explore more

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