First Report of Rhizomania Disease of Sugar Beet Caused by <i>Beet necrotic yellow vein virus</i> in the Great Lakes Production Region
Notice bibliographique
Résumé
Rhizomania, caused by Beet necrotic yellow vein virus (BNYVV) and vectored by the soilborne fungus Polymyxa betae Keskin, is one of the most economically damaging diseases affecting sugar beet (Beta vulgaris L.). The virus likely originated in Europe and was first identified in California in 1983 (1). It has since spread among American sugar beet production regions in spite of vigorous sanitation efforts, quarantine, and disease monitoring (3). In the fall of 2002, mature sugar beet plants exhibiting typical rhizomania root symptoms, including proliferation of hairy roots, vascular discoloration, and some root constriction (2) were found in several fields scattered throughout central and eastern Michigan. Symptomatic beets were from numerous cultivars, all susceptible to rhizomania. Two to five sugar beet root samples were collected from each field and sent to the USDA-ARS in Salinas, CA for analysis. Hairy root tissue from symptomatic plants was used for mechanical inoculation of indicator plants. Mechanical inoculation produced necrotic lesions on Chenopodium quinoa and systemic infection of Beta vulgaris ssp. macrocarpa, both typical of BNYVV and identical to control inoculations with BNYVV. Symptomatic sugar beet roots were washed and tested using double antibody sandwich-enzyme linked immunosorbent assay (DAS-ELISA) for the presence of BNYVV using standard procedures and antiserum specific for BNYVV (3). Sugar beet roots were tested individually, and samples were considered positive when absorbance values were at least three times those of greenhouse-grown healthy sugar beet controls. Samples were tested from 16 fields, with 10 confirmed positive for BNYVV. Positive samples had mean absorbance values ranging from 0.341 to 1.631 (A405nm) after 30 min. The mean healthy control value was 0.097. Fields were considered positive if one beet tested positive for BNYVV, but in most cases, all beets tested from a field were uniformly positive or uniformly negative. In addition, soil-baiting experiments were conducted on seven of the fields. Sugar beet seedlings were grown in soil mixed with equal parts of sand for 6 weeks and were subsequently tested using DAS-ELISA for BNYVV. Results matched those of the root sampling. Fields testing positive for BNYVV were widely dispersed within a 100 square mile (160 km2) area including portions of Gratiot, Saginaw, Tuscola, and Sanilac counties in the central and eastern portions of the Lower Peninsula of Michigan. The confirmation of rhizomania in sugar beet from the Great Lakes Region marks the last major American sugar beet production region to be diagnosed with rhizomania disease, nearly 20 years after its discovery in California (1). In 2002, there were approximately 185,000 acres (approximately 75,00 ha) of sugar beet grown in the Great Lakes Region, (Michigan, Ohio, and southern Ontario, Canada). The wide geographic distribution of infested fields within the Michigan growing area suggests the entire region should monitor for symptoms, increase rotation to nonhost crops, and consider planting rhizomania resistant sugar beet cultivars to infested fields. References:(1) J. E. Duffus et al. Plant Dis. 68:251, 1984. (2) J. E. Duffus. Rhizomania. Pages 29–30 in: Compendium of Beet Diseases and Insects, E. D. Whitney and J. E. Duffus eds. The American Phytopathological Society, St. Paul, MN, 1986. (3) G. C. Wisler et al. Plant Dis. 83:864, 1999.
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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 ».