Characterization of soil nematode community structure in semi‐arid dryland barley systems
Bibliographic record
Abstract
Abstract Soil nematode community structure and composition can inform crop managers about soil quality. However, few studies have assessed the nematode community under agricultural systems in cool semi‐arid regions such as the U.S. northern Great Plains. We assessed soil nematode community structure of barley ( Hordeum vulgare L.) and barley–pea ( Pisum sativum L.) cropping systems from 2016 to 2018 in one tilled and two no‐till field experiments under dryland management in central and southwestern Montana. Soils were sampled prior to planting in the spring and following harvest in late summer and nematodes were classified to genus level via microscopy. Both in season moisture stress and overwinter stress explained decline in nematodes in the central Montana no‐till experiments, although consistent impacts of moisture or overwinter stress on nematodes were not detected in the tilled field experiment. Cropping system or sequence did not impact the nematode population ( p > .1), but barley yield was positively correlated with larger nematode populations in both no‐till experiments ( r > .60). The percentage of fungivores were negatively correlated ( r = –.42) to barley yield under tillage. Plant parasitic nematodes were positively correlated ( r = .43) to barley yield under tillage. These results suggest that factors which enhance cereal crop growth and productivity rather than crop diversification drive short‐term nematode community dynamics when crop rotations are established in cool semi‐arid regions. Future work is needed to determine if cropping system changes can impact nematode populations after several years in cool semi‐arid regions and, if so, what ecosystem services result from these transformations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".