Detoxification of DON Contaminated Wheat by Fractional Pneumatic Separation, Near-Infrared Transmittance (BoMill), and Gaseous Ozone, and the Effects of Treated Grain on Broiler Chickens.
Notice bibliographique
Résumé
The mycotoxin deoxynivalenol (DON) caused by Fusarium spp. in cereal grains is a concern to the livestock industry, Current practices involve blending with clean grain to reduce overall DON content, but issues arise when clean grain has limited availability. These experiments were designed to determine: (1) if low DON wheat could be recovered from high DON wheat using specialized instruments; (2) the improvement of low DON grain recovery using two instruments in sequence and performance effects of sorted grain fed to broiler chickens; (3) the efficacy of gaseous ozone to reduce DON content in contaminated grains. The BoMill IQ (BoMill; BoMill AB, Sweden), a near infrared transmittance spectroscopy (NIT) single kernel sorter, was used with the Fusarium calibration to sort DON contaminated grain, as well as a GCS-200 grain cleaner (Grain Cleaning, LLC, MN, USA). In the first study, the BoMill was used to sort DON contaminated wheat and determine optimal calibration (Protein or Fusarium) and settings (HVK; hard vitreous kernel) to sort into eight fractions total, six sortable fractions with two unsortable fractions, and determine grain recovery under 5mg/kg DON of different wheats with different initial DON concentration. Experimental design was a CRD with four replications, data analyzed using least squares regression. The Fusarium calibration HHVK setting had 50.3% (P = 0.015), 29.0% (P = 0.001), and 1.8mg/kg (P = 0.068) recovered low DON wheat, rejection rate, and DON content respectively, which were intermediate to other settings and optimal compared to Protein calibration HVK setting 46.2% (P = 0.005) recovery, 35.6% (P = 0.001) rejection rate, and 1.6mg/kg (P = 0.001) DON content. Grain recovery (P<0.001) and rejection rate (P = 0.001) are dependent on initial DON concentration when sorting different sources of DON contaminated wheat. Using the BoMill technology could be an effective solution for regions with high DON incidence. In the second study a GCS-200 grain cleaner was used to sort and clean DON contaminated wheat by grain density, the intermediate DON content fraction was then sorted using the BoMill with optimal settings from the first study. Sorted and unsorted grain was used to formulate diets with graded amounts of DON for broiler birds to evaluate performance and intestinal morphology. Experimental design for grain sorting was a CRD with four replications. Experimental design for the broiler study was an RCBD with a 2 x 4 +1 factorial with ten replications. Fractional pneumatic separation grain recovery was 52.8, 42.7, and 58.8% with an average DON of 1.7, 1.5, and 1.0 mg/kg for three different initial DON wheats. Sequential sorting increased grain recovery between 10.5 to 19%. Dietary DON did not exceed 3.05 mg/kg. Bird performance and intestinal morphology were not different overall between treatments. In the third study, DON contaminated wheat was treated with gaseous ozone at different moisture contents and temperatures. Grain moisture was adjusted to 10.8, 15 or 20% moisture and grain treated with gaseous ozone for 24 hours at room temperature, then 20% moisture content wheat was temperature adjusted to 2°C or 29°C and treated with gaseous ozone for 24 hours. Statistical analysis was performed with one-way ANOVA using JMP. Increasing grain moisture content improved ozone degradation of DON by 6.7, 20.2, and 38.2% (P = 0.011) for 10.8, 15, and 20% moisture grain respectively. Temperature did not affect DON degradation when grain moisture was 20% (P > 0.10). Ozone can reduce DON content of wheat by 20 to 38% of wheat when grain moisture is above 15%. The key findings of the experiments were that the BoMill NIT Fusarium calibration can effectively sort and remove Fusarium damaged grain creating a fraction with reduced DON content. Sorting DON contaminated grain sequentially using a GCS-200 then BoMill improves grain recovery of low DON wheat. Sorted wheat can be used in broiler feed. Treating wheat with ozone can reduce the DON concentration at higher moisture levels.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».