MétaCan
Menu
Back to cohort
Record W7034613016

The use of molecular and biochemical tools to assist in the breeding of hazelnuts (Corylus spp.)

2017· dissertation· en· W7034613016 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRutgers University Community Repository (Rutgers University) · 2017
Typedissertation
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsnot available
Fundersnot available
KeywordsGermplasmPopulationBlightPlant disease resistanceChestnut blightResistance (ecology)TRIPS architectureTransmission (telecommunications)
DOInot available

Abstract

fetched live from OpenAlex

Hazelnuts rank 6th in world tree nut production, with approximately 800,000 metric tons produced per year. Commercial hazelnut production in the United States (the third largest producer of hazelnuts in the world) has been limited, due to the fungal pathogen Anisogramma anomala, the causal agent of eastern filbert blight (EFB). Interestingly, A. anomala is most deadly to the European hazelnut species (Corylus avellana), the only species used for commercial production, but is harbored by and does not cause symptoms in the native American species (C. americana). This fungal pathogen invades the vascular system of hazelnuts, girdles branches, and ultimately leads to death of the tree. Control measures to combat EFB are expensive and labor intensive, thus the most cost effective means of combating this disease is the use of disease resistant plant material. The Corylus genus holds 10 additional species, many of which carry EFB resistance. Over the past 15 years, extensive germplasm collection trips have been made to develop a broad hazelnut germplasm collection at Rutgers University, the entirely of which has been screened for resistance to EFB. The purpose of this study was to genetically characterize the novel collection of largely EFB resistant germplasm at Rutgers University using simple sequence repeat (SSR) markers. In addition, these same tools were used to further enhance the utility and better direct the use of this germplasm in the breeding program by performing a population structure analysis of A. anomala isolates collected from the United States and Canada. The final aspect of this dissertation investigates additional Corylus species by conducting a lipid content and profile analysis of four hazelnut species and interspecific hybrids to determine if there is a species effect on important kernel characteristics. Both the hazelnut germplasm collection and A. anomala isolate collection were found to be highly genetically diverse, and the analysis resolved 11 and 22 genetic populations, respectively. It was also found that the lipid content and profiles of hazelnuts will likely not be negatively affected by the introgression of different species into the breeding program. This work has demonstrated that there are a number of diverse sources of resistance in the Rutgers University hazelnut germplasm collection to the exceedingly genetically diverse fungus A. anomala, and introgression of sources of resistance in non C. avellana species will likely not effect commercially important kernel characteristics.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.240
Teacher spread0.204 · 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