2020
DOI: 10.1016/j.envpol.2019.113607
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Genetic polymorphism of Plantago major populations from the radioactive and chemical polluted areas

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Cited by 5 publications
(2 citation statements)
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“…In a random group from the most contaminated local population, the effects have persisted in subsequent generations of this species after the removal of the radiation load [12]. Microsatellite analysis has uncovered a decrease in genetic diversity of P. major from the same area as compared with control (background radioactivity) populations [24]. A database on the viability and radiosensitivity of P. major seed progeny, which has been compiled over 12 years of monitoring studies, is analyzed in this article, taking into account weather conditions.…”
Section: Introductionmentioning
confidence: 99%
“…In a random group from the most contaminated local population, the effects have persisted in subsequent generations of this species after the removal of the radiation load [12]. Microsatellite analysis has uncovered a decrease in genetic diversity of P. major from the same area as compared with control (background radioactivity) populations [24]. A database on the viability and radiosensitivity of P. major seed progeny, which has been compiled over 12 years of monitoring studies, is analyzed in this article, taking into account weather conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Studies on grass adaptation are given less attention to and their focus is mainly shifted towards agricultural and ornamental crops. A special emphasis can be laid on the studies on herbaceous plant frost resistance (Franklin & Wigge, 2014;Bucher et al, 2019) and their adaptation to climate warming (Franklin & Wigge, 2014), as well as to competition for light (Courbier & Pierik, 2019), soil moisture (Ferreira et al, 2015;Astamirova et al, 2016), and to technogenic pollution (Shimalina et al, 2019). At that investigation of adaptation are often associated with high levels of uncertainty, and different methods show conflicting results, accounting for which are particularly relevant for forecasting and modeling the state and stability of ecosystems (Straub & Grêt-Regamey, 2006).…”
Section: Introductionmentioning
confidence: 99%