Spatial variability of<i>Aspergillus</i><i>flavus</i>soil populations under different crops and corn grain colonization and aflatoxins
Bibliographic record
Abstract
Aflatoxin contamination in corn caused by Aspergillus flavus Link is a serious constraint on economical corn (Zea mays L.) production in the Mississippi Delta. The ecology of A. flavus was evaluated in a 3-year study assessing the spatial variability of soil populations of A. flavus in a Mississippi Delta field under different crops. A 1.07-ha section of the field was laid out in 126 9.2-m 2 plots, and soil was sampled in May 2000, March 2001, and April 2002. Aspergillus flavus populations were determined by plating on selective media, and A. flavus colonization was assessed in corn during 2000. Aspergillus flavus populations in soil were significantly (P < 0.01 level) influenced by previous crop. The highest propagule density (794 cfu·g 1 ) was found following the corn crop in 2001 versus 251 cfu·g 1 soil in 2000 following cotton and 457 cfu·g 1 following wheat in 2002. Aspergillus flavus populations in 2001 and 2002 exhibited a moderate degree of spatial structure, described by spherical and exponential models, respectively, but populations in 2000 exhibited little spatial structure. Colonization of corn kernels by A. flavus in 2000 ranged from 0% to 100% (mean = 15% colonized kernels), and aflatoxin levels ranged from 0 to 1590 ppb (mean = 57 ppb). Aflatoxin levels were randomly distributed in the field and not correlated with A. flavus colonization. Aflatoxin production was found in 43% to 59% of A. flavus soil isolates with the highest incidence in soil populations following corn in 2001. However, 84% of A. flavus isolated from corn kernels produced aflatoxin. Results indicate that within a single field there was a wide range of A. flavus soil propagule densities varying in potential to produce aflatoxin.Key words: Aspergillus flavus, aflatoxins, soil, corn (Zea mays), cotton, wheat, spatial variability.
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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 | 0.000 | 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 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".