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Record W4391847389 · doi:10.21203/rs.3.rs-3918199/v1

Allelopathic effects of rapeseed (Brassica juncea) on invasive weed Phalaris minor Retz

2024· preprint· en· W4391847389 on OpenAlexaff
Gaofeng Xu, Shicai Shan, Yun Zhang, David R. Cléments, Yunhai Yang, Shaosong Yang, Zhen Feng-ping, Jin Gui-mei, Fudou Zhang, Zhike Feng, Liyao Dong

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsPhalaris minorAllelopathyRapeseedBrassicaWeedBiologyAgronomyWeed controlBotanyGermination

Abstract

fetched live from OpenAlex

Abstract Background Growing allelopathic crops to control invasive weeds is considered as an environmental friendly, and economically sustainable approach, understanding the reasons are essential for current and future green control of invasive weeds. Phalaris minor Retz. is one of the most troublesome invasive weeds worldwide. Our previous studies found that rapeseed(Brassica juncea)exhibited strong inhibitory effects of this weed in agroecosystems, but it is unknown whether allelopathic effects are involved in this process. In this study, we assessed the allelopathic effects of B. juncea to P. minor, then, allelochemicals were separated and identified from its leaves, further, biological activity and physiological responses by some individual compounds were investigated. Results Our results showed that water extracts from roots, stems, and leaves of B. juncea have strong allelopathic potential which can significantly inhibit the seedling growth of P. minor, and leaves have the strongest allelopathic inhibitory effects. Different solvents extracts from leaves water extracts of B. juncea significantly inhibited seed germination and seedling growth of P. minor at higher concentration (20 mg/mL), but no significantly inhibited at lower concentration (1.25 mg/mL), allelopathic effects of different solvents extracts were ranked in order from petroleum ether (strongest), ethyl acetate (moderate), N-butyl alcohol, and residual water (least). The petroleum ether extracts of B. juncea affected the protective oxidase activity and chlorophyll content, resulting in a significant increase of malondialdehyde (MDA) content and a significant reduced superoxide dismutase (SOD) activity and chlorophyll content of P. minor. Twenty-one components were identified by GS-MS, with proportion of 96.47% of petroleum ether extracts of B. juncea. The major components were erucic acid (EA) (19.08%), palmitic acid(PA) (14.16%), dibutyl phthalate(DP) (13.19%), ethyl palmitate(EP) (12.31%), linoleic acid(LA) (9.43%), and oleic acid(OA) (6.24%), among which components PA, EP, and LA exhibited strong inhibitory activity against P. minor. Conclusions Overall, these relults suggested that B. juncea has strong allelopathic inhibitory effect on P. minor, and PA, EP and LA were major compounds of petroleum ether extract of B. juncea and exhibited strong inhibitory activity against P. minor, suggested that B. juncea can be used for ecological control and developing environmentally friendly herbicides to control P. minor.

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 score0.003
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.338
Teacher spread0.291 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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