2019
DOI: 10.1007/s12224-019-09353-4
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Influence of current and future climate on the seed germination of Cenostigma microphyllum (Mart. ex G. Don) E. Gagnon & G. P. Lewis

Abstract: Seasonally tropical dry forests are among the most threatened environments by climate change. However, these forests, which are at risk of desertification, are still poorly studied and conserved. Seeds of several species endemic to the Caatinga, a Brazilian dry forest, are also understudied, mainly regarding their ability to cope with a hotter and drier climate predicted for the future. For the first time in seeds of Cenostigma microphyllum (Leguminosae), we aimed to study the presence of physical dormancy, te… Show more

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Cited by 14 publications
(10 citation statements)
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“…Consistent with this, germination of Suaeda maritima was three times more tolerant to NaCl at 5°C (maximum threshold of 1279 mM) than at 25°C (maximum threshold of 447 mM; Seal et al 2018). This was also observed in the non-halophyte Cenostigma microphyllum which had a higher tolerance to salt at 25°C than at 30°C (Gomes et al 2019).…”
Section: Application Of Population-based Germination Models To Salinesupporting
confidence: 70%
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“…Consistent with this, germination of Suaeda maritima was three times more tolerant to NaCl at 5°C (maximum threshold of 1279 mM) than at 25°C (maximum threshold of 447 mM; Seal et al 2018). This was also observed in the non-halophyte Cenostigma microphyllum which had a higher tolerance to salt at 25°C than at 30°C (Gomes et al 2019).…”
Section: Application Of Population-based Germination Models To Salinesupporting
confidence: 70%
“…Thermal time and hydro time models were initially developed on crop species but have since been applied to the germination of hundreds of wild and domesticated species, of different life-forms (e.g., trees, shrubs, herbs) and from different habitats (see Dürr et al 2015 for a review). These models have also been applied to species to describe dormancy loss (Porceddu et al 2017) and field emergence (Porceddu et al 2013) and to assess the germination risk of species to climate change (Seal et al 2017;Gomes et al 2019;Dantas et al 2020). With such broad applications, population-based germination models have become powerful and popular tools to characterize seed functional traits.…”
Section: Thermal Hydro and Hydrothermal Time Modelsmentioning
confidence: 99%
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