2015
DOI: 10.1007/s11676-015-0111-3
|View full text |Cite
|
Sign up to set email alerts
|

Cold hardiness estimation of Pinus densiflora var. zhangwuensis based on changes in ionic leakage, chlorophyll fluorescence and other physiological activities under cold stress

Abstract: Pinus densiflora var. zhangwuensis grows fast, and its drought and salinity resistance are better than Pinus sylvestris var. mongolica. We compared cold hardiness and mechanisms of cold hardiness between the two species, to provide a theoretical basis for promoting and applying P. densiflora var. zhangwuensis in cold regions. A cold stress experiment was carried out on 3-year-old plantlets of P. densiflora var. zhangwuensis and P. sylvestris var. mongolica after hardening at five temperature regimes, 5, -10, -… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 14 publications
(6 citation statements)
references
References 25 publications
0
5
0
Order By: Relevance
“…Membrane permeability and relative conductivity (REC) were measured as described by Daneshmand et al (2010) and Meng et al (2015) , respectively. Reactive oxygen species were determined by the method of Wang and Jiao (2000) .…”
Section: Methodsmentioning
confidence: 99%
“…Membrane permeability and relative conductivity (REC) were measured as described by Daneshmand et al (2010) and Meng et al (2015) , respectively. Reactive oxygen species were determined by the method of Wang and Jiao (2000) .…”
Section: Methodsmentioning
confidence: 99%
“…Studies have focused on nutrient cycling, root system architecture, antioxidant activity, and water-deficiency responses in inoculated plants [17,18]. Nevertheless, studies have reported the sensitivity and acclimation of photosynthesis in masson pine, with particular focus on chlorophyll (Chl) a fluorescence, which is a quick method to estimate the photosynthetic response in plants under various environmental conditions [19], including water deficiency [20], cold hardiness [21], and toxic metals [22].…”
Section: Introductionmentioning
confidence: 99%
“…Our model correctly simulated the pathway of conversion from starch to sugar in fall and the opposite process in spring (Tixier et al ., 2019; Deslauriers et al ., 2021). During autumn, when decreasing photoperiod and temperature induce both endo‐ and ecodormancy (Singh et al ., 2017), the exposure to chilling promotes sugar accumulation in all living cells, the sugars being mainly sucrose and some other oligosaccharides (Meng et al ., 2015; Taïbi et al ., 2018; Deslauriers et al ., 2021). Our simulated starch and sugar patterns during winter agree with the literature (Schaberg et al ., 2000), where the accumulated sugar can increase to > 25 times the concentrations observed during summer (Strimbeck et al ., 2015).…”
Section: Discussionmentioning
confidence: 99%