Abstract
The need for regionally adapted native grass seed sources for the northern Great Plains has resulted in the commercial release of a range of plant materials, including ecovars™1. Ecovars™ are multisite composite populations developed to combine broad genetic diversity from a geographic region. The objective of this study was to determine whether morphological data could be used to distinguish between genetically diverse blue grama [Bouteloua gracilis (Willd. ex Kunth) Lag. ex Griffiths] seed sources through classical statistical methods. Entries included a Manitoba (MB) ecovar™, a USDA–NRCS released cultivar ‘Bad River’, and ecotypes from Wyoming and Minnesota. Vegetative and reproductive measurements and ratings were taken from a spaced-plant nursery during 2000–2001 in Carman, Manitoba, Canada. The results were analyzed using statistical techniques including: ANOVA, least significant difference, canonical discriminant analysis (CDA), and coefficients of variation. These techniques distinguished four genetically diverse seed sources from each other through CDA. As hypothesized, there was greater within-population genetic diversity for the MB ecovar™ and Wyoming and Minnesota ecotypes, compared with ‘Bad River’. Our results indicate that genetically diverse blue grama seed sources can be distinguished, based on phenotypic measurements.
Original language | English |
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Pages (from-to) | 661-671 |
Number of pages | 11 |
Journal | Botany |
Volume | 98 |
Issue number | 11 |
DOIs | |
State | Published - 2020 |
Bibliographical note
Publisher Copyright:© Canadian Science Publishing. All rights reserved.
Keywords
- Blue grama
- Bouteloua gracilis
- Ecovars™
- Genetic diversity
- Native grasses
- Reclamation
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Ecology
- Plant Science