Using near infrared transmittance to generate sorted fractions of Fusarium-infected wheat and the impact on broiler performance
Bibliographic record
Abstract
The objective of this study was to investigate the effects of naturally contaminated Fusarium wheat containing deoxynivalenol (DON) on growth and performance of broiler chickens from 0 to 35 d. The BoMill TriQ individual kernel sorting technology uses near infrared transmittance (NIT) spectra to separate Fusarium-damaged kernels (FDK) from healthy kernels based on individual kernel CP. Three Fusarium-contaminated wheat sources were individually sorted into 3 test fractions: outlier (10% of the source), high mycotoxin (20% of the source), and low mycotoxin (70% of the source). These fractions were reconstituted into 4 ratios-M0, M20, M40, and M60-relating to the proportion of the high mycotoxin fraction in the reconstituted diets. These 12 reconstituted wheat sources with varying levels of DON were incorporated at ∼70% (starter) or ∼75% (grower/finisher) into diets. The fractions of wheat used had FDK ranging from 0.1 to 25.8% and DON from 0.0 to 14.3 ppm. A total of 480 newly hatched Ross 308 male broilers were randomly divided into 96 cages. Each test diet was assigned to 8 replicates with 5 birds per replicate cage. At 21 d, 180 birds were transferred to 36 cages, allowing 3 replicates of 5 birds per diet until 35 d. A factorial arrangement analysis compared the 3 wheat sources and 4 ratios produced from each sorted wheat. Growth and performance were evaluated as BW (g), feed intake (FI; g/bird/day), feed conversion ratio (FCR; g:g), AME (kcal ME/kg diet), nitrogen retention (NR; %), and mortality (%) for 0 to 21 d and 21 to 35 d. Results indicate no significant difference in BW, FI, and FCR (P > 0.05). Significant differences were seen in AME and NR (P < 0.01). This study demonstrates the potential of this novel sorting technology to produce naturally contaminated diets with a large range of mycotoxin concentrations from a single wheat source to enable future investigations of mycotoxin exposure in any species.
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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 | 0.001 |
| 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".