Allelopathic effects of rapeseed (Brassica juncea) on invasive weed Phalaris minor Retz
Bibliographic record
Abstract
<title>Abstract</title> 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. <italic>Phalaris minor</italic> Retz. is one of the most troublesome invasive weeds worldwide. Our previous studies found that rapeseed(<italic>Brassica juncea</italic>)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 <italic>B</italic>. <italic>juncea</italic> to <italic>P. minor</italic>, 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 <italic>B</italic>. <italic>juncea</italic> have strong allelopathic potential which can significantly inhibit the seedling growth of <italic>P</italic>. <italic>minor</italic>, and leaves have the strongest allelopathic inhibitory effects. Different solvents extracts from leaves water extracts of <italic>B</italic>. <italic>juncea</italic> significantly inhibited seed germination and seedling growth of <italic>P</italic>. <italic>minor</italic> 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 <italic>B. juncea</italic> 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 <italic>P</italic>. <italic>minor</italic>. Twenty-one components were identified by GS-MS, with proportion of 96.47% of petroleum ether extracts of <italic>B. juncea</italic>. 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 <italic>P</italic>. <italic>minor</italic>. Conclusions Overall, these relults suggested that <italic>B. juncea</italic> has strong allelopathic inhibitory effect on <italic>P</italic>. <italic>minor</italic>, and PA, EP and LA were major compounds of petroleum ether extract of <italic>B. juncea</italic> and exhibited strong inhibitory activity against <italic>P</italic>. <italic>minor</italic>, suggested that <italic>B. juncea</italic> can be used for ecological control and developing environmentally friendly herbicides to control <italic>P</italic>. <italic>minor</italic>.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".