Growing degree-day models for predicting lowbush blueberry (vaccinium angustifolium ait.) ramet emergence, tip dieback, and flowering in Nova Scotia, Canada

Scott N. White; Nathan S. Boyd; Rene C. van Acker

doi:10.21273/hortsci.47.8.1014

Growing degree-day models for predicting lowbush blueberry (vaccinium angustifolium ait.) ramet emergence, tip dieback, and flowering in Nova Scotia, Canada

Scott N. White, Nathan S. Boyd, Rene C. van Acker

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1014-1021
Number of pages	8
Journal	Hortscience: A Publication of the American Society for Hortcultural Science
Volume	47
Issue number	8
DOIs	https://doi.org/10.21273/hortsci.47.8.1014
Publication status	Published - Aug 2012
Externally published	Yes

ASJC Scopus Subject Areas

Horticulture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.21273/hortsci.47.8.1014

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Growing degree-day models for predicting lowbush blueberry (vaccinium angustifolium ait.) ramet emergence, tip dieback, and flowering in Nova Scotia, Canada. / White, Scott N.; Boyd, Nathan S.; van Acker, Rene C.
In: Hortscience: A Publication of the American Society for Hortcultural Science, Vol. 47, No. 8, 08.2012, p. 1014-1021.

Research output: Contribution to journal › Article › peer-review

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Growing degree-day models for predicting lowbush blueberry (vaccinium angustifolium ait.) ramet emergence, tip dieback, and flowering in Nova Scotia, Canada

ASJC Scopus Subject Areas

UN SDGs

Access to Document

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