Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum
Many endangered plants such as Eryngium viviparum (Apiaceae) present a poor germination rate. This fact could be due to intrinsic and extrinsic seed variability influencing germination and dormancy of seeds. The objective of this study is to better understand the physiological mechanism of seed late...
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doaj-ce8761d6d48c4310bb8c4a1ec06f38562020-11-25T01:02:34ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2017-12-01810.3389/fpls.2017.02092301714Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparumManuel Ayuso0Pablo Ramil-Rego1Mariana Landin2Pedro P. Gallego3M. Esther Barreal4Applied Plant and Soil Biology, Faculty of Biology, University of Vigo, Vigo, SpainGI-1934 TB-Biodiversity, IBADER, Universidad de Santiago, Lugo, SpainDepartment of Pharmacology, Pharmacy and Pharmaceutical Technology, Faculty of Pharmacy, University of Santiago de Compostela, Santiago de Compostela, SpainApplied Plant and Soil Biology, Faculty of Biology, University of Vigo, Vigo, SpainApplied Plant and Soil Biology, Faculty of Biology, University of Vigo, Vigo, SpainMany endangered plants such as Eryngium viviparum (Apiaceae) present a poor germination rate. This fact could be due to intrinsic and extrinsic seed variability influencing germination and dormancy of seeds. The objective of this study is to better understand the physiological mechanism of seed latency and, through artificial intelligence models, to determine the factors that stimulate germination rates of E. viviparum seeds. This description could be essential to prevent the disappearance of endangered plants. Germination in vitro was carried out under different dormancy breaking and incubation procedures. Percentages of germination, viability and E:S ratio were calculated and seeds were dissected at the end of each assay to describe embryo development. The database obtained was modeled using neurofuzzy logic technology. We have found that the most of Eryngium seeds (62.6%) were non-viable seeds (fully empty or without embryos). Excluding those, we have established the germination conditions to break seed dormancy that allow obtaining a real germination rate of 100%. Advantageously, the best conditions pointed out by neurofuzzy logic model for embryo growth were the combination of 1 mg L−1 GA3 (Gibberellic Acid) and high incubation temperature and for germination the combination of long incubation and short warm stratification periods. Our results suggest that E. viviparum seeds present morphophysiological dormancy, which reduce the rate of germination. The knowledge provided by the neurofuzzy logic model makes possible not just break the physiological component of dormancy, but stimulate the embryo development increasing the rate of germination. Undoubtedly, the strategy developed in this work can be useful to recover other endangered plants by improving their germination rate and uniformity favoring their ex vitro conservation.http://journal.frontiersin.org/article/10.3389/fpls.2017.02092/fullApiaceaeartificial intelligenceconservationgerminationdormancyendemic plant |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Manuel Ayuso Pablo Ramil-Rego Mariana Landin Pedro P. Gallego M. Esther Barreal |
spellingShingle |
Manuel Ayuso Pablo Ramil-Rego Mariana Landin Pedro P. Gallego M. Esther Barreal Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum Frontiers in Plant Science Apiaceae artificial intelligence conservation germination dormancy endemic plant |
author_facet |
Manuel Ayuso Pablo Ramil-Rego Mariana Landin Pedro P. Gallego M. Esther Barreal |
author_sort |
Manuel Ayuso |
title |
Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum |
title_short |
Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum |
title_full |
Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum |
title_fullStr |
Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum |
title_full_unstemmed |
Computer-Assisted Recovery of Threatened Plants: Keys for Breaking Seed Dormancy of Eryngium viviparum |
title_sort |
computer-assisted recovery of threatened plants: keys for breaking seed dormancy of eryngium viviparum |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Plant Science |
issn |
1664-462X |
publishDate |
2017-12-01 |
description |
Many endangered plants such as Eryngium viviparum (Apiaceae) present a poor germination rate. This fact could be due to intrinsic and extrinsic seed variability influencing germination and dormancy of seeds. The objective of this study is to better understand the physiological mechanism of seed latency and, through artificial intelligence models, to determine the factors that stimulate germination rates of E. viviparum seeds. This description could be essential to prevent the disappearance of endangered plants. Germination in vitro was carried out under different dormancy breaking and incubation procedures. Percentages of germination, viability and E:S ratio were calculated and seeds were dissected at the end of each assay to describe embryo development. The database obtained was modeled using neurofuzzy logic technology. We have found that the most of Eryngium seeds (62.6%) were non-viable seeds (fully empty or without embryos). Excluding those, we have established the germination conditions to break seed dormancy that allow obtaining a real germination rate of 100%. Advantageously, the best conditions pointed out by neurofuzzy logic model for embryo growth were the combination of 1 mg L−1 GA3 (Gibberellic Acid) and high incubation temperature and for germination the combination of long incubation and short warm stratification periods. Our results suggest that E. viviparum seeds present morphophysiological dormancy, which reduce the rate of germination. The knowledge provided by the neurofuzzy logic model makes possible not just break the physiological component of dormancy, but stimulate the embryo development increasing the rate of germination. Undoubtedly, the strategy developed in this work can be useful to recover other endangered plants by improving their germination rate and uniformity favoring their ex vitro conservation. |
topic |
Apiaceae artificial intelligence conservation germination dormancy endemic plant |
url |
http://journal.frontiersin.org/article/10.3389/fpls.2017.02092/full |
work_keys_str_mv |
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