Inhibitory Effect of Tall Hedge Mustard (<i>Sisymbrium loeselii</i>) Allelochemicals on Rangeland Plants and Arbuscular Mycorrhizal Fungi
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Exotic weeds can interfere with neighboring species by releasing allelochemicals that either directly inhibit growth and distribution of associated species or affect them indirectly by disrupting their interaction with soil organisms, such as arbuscular mycorrhizal fungi (AMF). The allelopathic potential of tall hedge mustard was assessed using aqueous root and shoot extracts in seed germination and radicle growth bioassays. Aqueous tall hedge mustard root and shoot extracts strongly inhibited seed germination and growth of bluebunch wheatgrass, Idaho fescue, and spotted knapweed, but had minimal autotoxicity. Chemical analysis of tall hedge mustard tissues revealed the presence of two major glucosinolates—isopropyl and sec -butyl glucosinolate. The degradation products of these glucosinolates (isopropyl isothiocyanate and sec -butyl isothiocyanate) were identified in dichloromethane extracts of tall hedge mustard aqueous root and shoot extracts. Commercially available isopropyl isothiocyanate and sec -butyl isothiocyanate inhibited seed germination and radicle growth, suggesting their role in the allelopathic potential of tall hedge mustard. Tall hedge mustard aqueous extracts and isothiocyanates incorporated into an agar medium inhibited the spore germination of the AMF, Glomus intraradices . Tall hedge mustard infestations were also found to reduce the AMF inoculum potential of soil under field conditions. The results from this study show that tall hedge mustard produces chemicals that can inhibit the growth of neighboring plant species and their AMF associates.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it