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Record W4388496712 · doi:10.5539/jsd.v16n6p71

Interrelation between Nitrogen Doses and the Efficiency of Bt Genes in the Effective Control of Spodoptera frugiperda

2023· article· en· W4388496712 on OpenAlexvenueno aff
Marcelo Macedo Faria, Wagner Nunes Ribeiro, Quirlene Raquel de Almeida, Beatriz Merçon Leal Reis, Cecília Leão Pereira Resende, Fabrício Ávila Rodrigues

Bibliographic record

VenueJournal of Sustainable Development · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsSpodopteraHybridBiologyRandomized block designFall armywormHorticultureAgronomyGeneBotanyBiotechnologyGenetics

Abstract

fetched live from OpenAlex

The objective of this work was to identify the effect of nitrogen rates on Bt transgenic resistance and damage caused by Spodoptera frugiperda in corn plants at different developmental stages. The experimental design was a randomized complete block in a 3x6 factorial arrangement, with three potassium rates (0, 80, and 160 kg ha-1 kg of N) and six corn hybrids (20A55Hx, 30A77PW, AG1051, MG652PW, NS90VTPro2, and NS92VTPro), with three replicates. The data were analyzed through the analysis of canonical variables. Nitrogen doses interfere directly with the tolerance and resistance conferred by the Cry proteins of the plants in corn hybrids, altering the control of the caterpillar Spodoptera frugiperda and possibly favoring the breakdown of resistance in low availability. The corn hybrids showed divergent performance regarding proteins under low nitrogen availability (0 and 80 kg ha-1), and it was impossible to state which would be the most efficient protein. However, pyramiding has greater control under the recommended dose (160 kg ha-1 of N), with damage in the opposite direction to the transgenics.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.227
Teacher spread0.223 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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