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Record W2983486630

ASSESSING DISEASE CONCERNS ON QUINOA AND EVALUATING SOURCES OF DISEASE RESISTANCE IN CHENOPODIUM SPECIES IN NEW ENGLAND

2019· article· en· W2983486630 on OpenAlexaboutno aff
Haley Breanne Nolen

Bibliographic record

VenueUniversity of New Hampshire Scholars Repository (University of New Hampshire at Manchester) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPowdery Mildew Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsChenopodium quinoaDiseaseResistance (ecology)Plant disease resistanceBiologyGeographyEcologyBotanyMedicineGenetics
DOInot available

Abstract

fetched live from OpenAlex

Quinoa (Chenopodium quinoa Willd.) is a potential new crop for New England because of its high nutritional qualities and environmental adaptability; however, its susceptibility to disease such as downy mildew, caused by Peronospora variabilis Gaum is a significant obstacle. Downy mildew is a key disease of quinoa causing yield reductions up to 33% in tolerant varieties and 99% yield loss in susceptible varieties. Warm temperatures and high humidity in New England provide optimum conditions for pathogen infection and spread, negatively impacting quinoa growth and yield. This pathogen is able to persist in the seed coat of quinoa and overwinter in soils, making it difficult to manage in a farm setting. These characteristics, as well as reports of fungicide resistance in other downy mildew systems, make genetic resistance the most effective strategy to combat this pathogen. P. variabilis has been reported in North America, specifically in Alberta, Canada and Pennsylvania however it is not known to occur in New England. This research serves as preliminary work for future studies to identify genes contributing to disease resistance in New England native Chenopodium species for future use in breeding programs. The specific objectives of this research were to (1) optimize molecular protocols to detect P. variabilis and confirm the presence of the pathogen in New Hampshire, (2) evaluate differential resistance to downy mildew among Chenopodium accessions, (3) identify other potential pathogens of Chenopodium spp. in New England, and (4) investigate molecular relationships among New England P. variabilis isolates. A molecular pipeline involving touchdown PCR was developed and used to confirm the presence of P. variabilis on Chenopodium species in New Hampshire. Field trials conducted at the UNH Woodman Research Farm evaluated downy mildew disease severity on ten Chenopodium accessions representing four species. Disease severity for each treatment was compared and significant differences were observed among treatments. C. berlandieri var. macrocalycium ecotypes collected from Rye Beach, NH and Appledore Island, ME exhibited the lowest mean disease severity over the season. P. variabilis was isolated from each of the 10 accessions and COX2 sequences were compared; phylogenetic analyses suggest no effect of host species; however, New Hampshire isolates formed a clear cluster when compared with Pennsylvania and South American isolates, suggesting the presence of distinct populations based on geographic location. A second disease causing stem lesion symptoms was observed in the 2018 field trial. Stem lesion incidence was significantly different among Chenopodium accessions, with certain quinoa accessions (37P, QQ065, cultivar Faro) exhibiting low incidence; however, definitive conclusions were not reached in regard to the identity of the stem lesion causal agent. Overall, results from this study provide the first step in identification of potential New England native sources of resistance to downy mildew within the genus, confirmation that downy mildew is present and may be problematic for New England quinoa growers, and documentation of another unknown quinoa pathogen that will need to be managed. These results also provide preliminary information needed to further investigate resistance at the genomic level in Chenopodium spp. and pathogenicity factors in P. variabilis.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.230
Teacher spread0.192 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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