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Record W1889278374

Lowbush blueberries in Northwestern Ontario as a commercial crop option in post-harvest peatlands

2009· dissertation· en· W1889278374 on OpenAlexaboutno aff
C. Mol

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2009
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsPeatCropAgroforestryEnvironmental scienceAgronomyForestryHorticultureGeographyBiologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Wild blueberries (Vaccinium angustifolium Ait.) were investigated as a possible reclamation tool for post harvest peatlands in Northwestern Ontario, by genetic fingerprinting using microsatellite markers, an examination of native blueberry soils in comparison with the GG3 peatland near Upsala, ON and identification of optimal soils in the GG3 peatland using GIS-based approach and multivariate statistics. The genetic diversity of natural populations of V. angustifolium Ait. was investigated using four microsatellite markers developed for Vaccinium corymbosum L. and compared to nineteen commercial wild blueberry plants. Fifty blueberry plants collected from across Northwestern Ontario were selected to obtain genetic fingerprints and to estimate genetic similarity by microsatellite analysis. The microsatellite data set was analyzed using POPGENE. Each of the microsatellite primers was polymorphic creating a total of 133 bands with the proportion of polymorphic loci at 97%, with none of them in all of the plant samples. The number of alleles per locus was 33.35 with a range of 13 to 51. The average genetic similarity was 97%. The corresponding nonmetric multidimensional scaling analysis supported the clusters and showed the separation of the commercial plants from the wild plants from Northwestern Ontario and distinct outliers, plants from Nipigon and Sioux Lookout. Low gene flow could be attributed to fragmented habitat due to their need for open sunlight and acid soils. Microsatellite analysis is a beneficial tool for genetic fingerprinting and identification, as well as useful for investigating genetic similarities and differences.
\nWe studied the soil chemistry of eight different native blueberry stands across Northwestern Ontario and compared them to 210 peat soil samples from the GG3
\npeatland near Upsala, ON. Comparing these soils to the Canadian Soil Quality Guidelines revealed that arsenic levels for the site near Wawa could present phytotoxicity in blueberry plants. Nonmetric multidimensional scaling showed a distinct separation of blueberry soils from the peat soils along the second axis. Bulk density was one of the main differences and could be increased by tilling the mineral subsoil into the peat in the preparation for blueberry planting. Layers within the peat bog were difficult to separate in the statistical analysis. Leaf tissue analysis would help identify nutrient deficiencies better than soils analysis due to the perennial nature of the blueberry plants. Identification of optimal areas of soil within the GG3 peatland would ensure the success of using blueberries for reclamation. Using the GIS software, ArcGIS, nonmetric multidimensional scaling values for axis two were mapped for the seven individual layers of the peatland. A band, running from east to west in the middle of the peatland showed soil chemistry values closest to the native blueberry soils. An upper layer of the peat should be reserved for use in the blueberry reclamation as it would have the least issues with phytotoxicity due to high elemental content.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.253
Teacher spread0.223 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2009
Admission routes1
Has abstractyes

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