
AbstractPremiseWith growing interest in the impact of false springs on plant reproduction, there is the need to develop reliable, high‐throughput methods for assessing floral freezing damage. Here we present a method for use with floral tissue that will facilitate more comparative work on floral freezing tolerance in the future.Methods and ResultsWe examined the effectiveness of a modified electrolyte leakage protocol to assess floral freezing damage. By comparing data from temperature response curves to an estimate of visual tissue damage, we optimized the protocol for different floral types and improved the signal‐to‐noise ratio for floral data.ConclusionsOur modified protocol provides a quick and straightforward method for quantifying floral freezing damage that can be standardized across floral types. This method allows for cross‐species comparisons and can be a powerful tool for studying broad patterns in floral freezing tolerance.
cold hardiness, QH301-705.5, QK1-989, Protocol Note, electrolyte leakage, Botany, conductivity, Biology (General), freezing tolerance, temperature response curve, flower
cold hardiness, QH301-705.5, QK1-989, Protocol Note, electrolyte leakage, Botany, conductivity, Biology (General), freezing tolerance, temperature response curve, flower
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
