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Record W2047682854 · doi:10.1094/pdis-92-4-0653a

First Report of Brown Root Rot of Alfalfa Caused by <i>Phoma sclerotioides</i> in Colorado and New Mexico

2008· article· en· W2047682854 on OpenAlexaboutno aff
Michael Wunsch, Merlin A. Dillon, Rosário Torres, Howard F. Schwartz, Gary C. Bergstrom

Bibliographic record

VenuePlant Disease · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyCrown (dentistry)PhomaRoot rotHorticultureAgronomy

Abstract

fetched live from OpenAlex

Brown root rot (BRR), caused by the fungal pathogen Phoma sclerotioides G. Preuss ex Sacc. (synonym Plenodomus meliloti Dearn. & G.B. Sanford), is associated with winterkill, slow emergence from winter dormancy, and yield loss of alfalfa (Medicago sativa L.) (1,2). BRR is a problem in regions with severe winters and is common in Alaska and Alberta, Saskatchewan and Manitoba, Canada. It was first observed in the continental United States in Wyoming during 1996 (2) and has subsequently been found in Idaho, Minnesota, Montana, New Hampshire, New York, Vermont, and Wisconsin. In the intermountain valleys of northern New Mexico and western Colorado, winters can be severe; alfalfa winterkill events occur periodically, but it is unknown if BRR is present. In May 2006, alfalfa plants were collected from production fields in Huerfano, Otero, and Rio Grande counties in Colorado and Rio Arriba and Taos counties in New Mexico and assessed for BRR. Two to three fields were sampled per county and 20 or 40 plants were collected per field. All fields existed for at least two winters. Fields sampled in Rio Grande County exhibited severe winterkill, with most plants completely girdled by crown lesions. Plants from other fields exhibited a range of root and crown rots. Isolation of P. sclerotioides was attempted from all plants with a previously described protocol (4). The pathogen was isolated from crown lesions of one alfalfa plant each from Rio Grande and Taos counties. Both lesions extended into the cortex. On potato dextrose agar and water agar with barley (4), single-conidium cultures of each isolate produced large pycnidia (0.35 to 0.80 mm in diameter) with multiple beaks, white cirri darkening to yellow with age, and unicellular, hyaline, ovoid conidia 5 to 7 μm long by 2 μm wide. Diagnostic PCR of the cultures using P. sclerotioides-specific primers (3) resulted in a single amplicon of expected size (500 bp). The internal transcribed spacer (ITS) 1, 5.8S, and ITS2 of the rDNA were amplified and sequenced using primers ITS1 and ITS4. The ITS sequences (GenBank Accession Nos. EU265669 and EU265670) were >98% identical to P. sclerotioides ATCC isolate 56515 over 503 bp of aligned sequence. Potted 'Vernal' alfalfa was inoculated 4 months after seeding, kept at 4°C for 5.5 weeks, 0 to -2°C for 12 weeks, and 4°C for 3 weeks. Of the 14 plants inoculated with the Colorado isolate, 11 developed cortical lesions and 8 winterkilled. Of the 23 plants inoculated with the New Mexico isolate, 22 developed cortical lesions and 16 winterkilled. Lesions were light to very dark brown, sometimes with a darker border and often containing abundant pycnidia. Winterkill was associated with lesions girdling the crown. P. sclerotioides was isolated from the lesions. To our knowledge, this is the southernmost report of BRR in North America and the first report of BRR in New Mexico and Colorado. The incidence and severity of BRR in the region surveyed appear to be considerably lower than in the more northern regions. References: (1) B. Berkenkamp et al. Can. J. Plant Sci. 71:211, 1991. (2) C. R. Hollingsworth et al. Can. J. Plant Pathol. 25:215, 2003. (3) R. C. Larsen et al. Plant Dis. 86:928, 2002. (4) M. J. Wunsch et al. Plant Dis. 91:1293, 2007.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.209
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2008
Admission routes1
Has abstractyes

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