Lowbush blueberries in Northwestern Ontario as a commercial crop option in post-harvest peatlands
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| 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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».