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    • Journal of Range Management, Volume 52 (1999)
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    Predicting variable temperature response of non-dormant seeds from constant-temperature germination data

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    Author
    Hardegree, S. P.
    Van Vactor, S. S.
    Pierson, F. B.
    Palmquist, D. E.
    Issue Date
    1999-01-01
    Keywords
    Elymus lanceolatus
    microclimate
    Elymus elymoides
    Pseudoroegneria spicata
    Poa secunda
    prediction
    ambient temperature
    temporal variation
    seed germination
    seed dormancy
    
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    Citation
    Hardegree, S. P., Van Vactor, S. S., Pierson, F. B., & Palmquist, D. E. (1999). Predicting variable-temperature response of non-dormant seeds from constant-temperature germination data. Journal of Range Management, 52(1), 83-91.
    Publisher
    Society for Range Management
    Journal
    Journal of Range Management
    URI
    http://hdl.handle.net/10150/643995
    DOI
    10.2307/4003496
    Additional Links
    https://rangelands.org/
    Abstract
    The objective of many laboratory-germination experiments is to develop insight into the process of field establishment. It is relatively difficult, however, to infer potential field response from laboratory data given the enormous spatial and temporal variability in seedbed microclimate. Previous studies have attempted to survey large numbers of alternating day/night temperature regimes in order to estimate germination response to potential conditions of field microclimate. The objectives of this study were to estimate the errors associated with prediction of variable-temperature germination response from fewer, constant-temperature germination data. Non-dormant seeds of thickspike wheatgrass [Elymus lanceolatus (Scribn. and J.G. Smith) Gould], bluebunch wheatgrass [Pseudoroegneria spicata (Pursh) Love], Sandberg bluegrass (Poa sandbergii Vasey), and bottlebrush squirreltail [Elymus elymoides (Raf.) Swezey] were germinated under constant, alternating-constant and sine-wave temperature regimes. Predicted and measured cumulative-germination response generally coincided to within a day for most temperature treatments except for the most slowly germinating subpopulations of seeds. Thermal response models can be parameterized from relatively few experimental data but provide predictive inferences relevant to a wide number of variable-temperature conditions.
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2307/4003496
    Scopus Count
    Collections
    Journal of Range Management, Volume 52, Number 1 (January 1999)

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