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Record W4385799865 · doi:10.24124/2023/59410

Effects of changing environmental conditions on glyphosate degradation and melatonin production in wild strawberries

2023· dissertation· en· W4385799865 on OpenAlexaffabout
Hariharan Sendamanagalum Varudaraju

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsGlyphosateMelatoninBiologyphotoperiodismMetaboliteAbiotic componentHorticultureBotanyAgronomyBiochemistryEcology

Abstract

fetched live from OpenAlex

Glyphosate is a broad-spectrum herbicide commonly used in Canadian forests to control competitive vegetation. The non target plant species are exposed to a sublethal dose of glyphosate-based herbicides (GBH) due to aerial applications that cause deformities along with other potentially unknown effects. The efficiency and degradation of glyphosate to its metabolic by-products, including amino-methyl phosphonic acid (AMPA), are based on environmental conditions and the genetic capabilities of the plant or exposed organism. Glyphosate enters the plant through foliage and blocks the production of aromatic amino acids such as tryptophan by inhibiting the plant enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS). Interestingly, the amino acid tryptophan acts as the precursor of the plant stress response hormone called melatonin. Whenever a plant is exposed to biotic or abiotic stress, the level of melatonin increases to protect the plant. The production of melatonin also tends to change depending on the environmental conditions. Glyphosate-based herbicides may act as a chemical stress, and the plants may respond to it by increasing melatonin concentration. The objectives of this research were: 1)To find out how environment, in this case, measured by the effects of the combination of temperature and photoperiod, affect plant stress responses to GBH application, and to determine which combination of temperature and lightsupported the faster degradation of glyphosate to its secondary metabolite AMPA; 2) To determine the effects of changing environmental conditions and GBH application on a plant’s melatonin production. I used wild strawberries (Fragaria virginiana) as my experimental species as they are a common understory species grown in the forest areas of British Columbia, Canada, where GBH is sprayed, and are also of importance as food to humans and wildlife. I used 1080 g/m2 of GBH treatments in my experiment to replicate the sublethal dose received by the non-target plants in industrial operations. Several plant stress responses were observed during the measurement period in three different trials. Trial 1 had different temperatures with constant photoperiod, trial 2 had different photoperiods with constant temperature, and trial 3 combined variation in temperature and photoperiod. At the end of experiment, I found that GBH were highly effective at 20°C with 18 hours of photoperiod as it affected several plant morphological features. The degradation of GBH were maximum at 20°C with 24 hours of photoperiod as suggested by the degradation ratio of glyphosate and AMPA. The new leaves produced by the plants after GBH application were more sensitive to glyphosate as leaf area and photosynthetic capacity by the new leaves were severely affected compared to the previously emerged leaves. Melatonin levels were altered by temperature, week of sample collection and slightly by photoperiod. The production was not affected by GBH application. These results suggest that wild strawberries grown in forest areas with warmer temperatures are most highly affected by glyphosate applications and when warm temperatures are accompanied by longer duration of sunlight, faster degradation of glyphosate is facilitated in tissues.,

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes2
Has abstractyes

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