Nitrogen inputs and irrigation frequency influence population dynamics of <i>Mesocriconema xenoplax</i> under grapevines
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
Abstract Nitrogen (N) fertilization and irrigation are critical for tree fruit and grape production in semi-arid regions of Western North America. Growers are increasingly considering more conservative fertilization and irrigation practices in order to optimize fruit quality while minimizing environmental impacts. The implications for pest populations of such shifts in production practices are not well known and warrant consideration. The objective of this research was to determine the effects of drip irrigation frequency (daily vs approximately every third day) and N fertilizer rate (ranging from 0 to 64 kg N/ha/year) on population densities of the ring nematode, Mesocriconema xenoplax, in a vineyard. The experiment was a split-plot randomized complete block design with irrigation frequency applied as whole-plot treatments and N input applied as subplot treatments. Nematode populations in root zone soils were assessed in spring, summer and fall of 2010 and 2011. There was a significant irrigation frequency × N input interaction, with M. xenoplax population densities increasing with N input under daily irrigation but not under low frequency irrigation. The data suggest that reductions in fertilizer N input and irrigation frequency, that have minimal impacts on fruit quality and yield, can also minimize M. xenoplax population buildup.
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.
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 | 0.000 | 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