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Sarkar, Debabrata; Chakrabarti, S. K.; Naik, Prakash S.

doi:10.1023/a:1004087422743

Cited by 25 publications

(6 citation statements)

References 29 publications

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“…[33] compared cold storage at 4˚ and cryopreservation of some hairy-root cultures and came to the conclusion than cold storage is the better way of conservation. Many other authors have applied low above-zero temperatures for conservation of in vitro cultures [34][35][36]. Cold storage at 4˚ was also applied for HZ in this work.…”

Section: Discussionmentioning

confidence: 99%

A possibility of saving an endangered endemic of the Lake Baikal shore, Hedysarum zundukii Peschkova (Fabaceae Lindl.) using clonal micropropagation

Gamburg¹

2013

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Hedysarum zundukii Peschkova is one of the Fabaceae endemics of the flora of the Lake Baikal west shore. Because of its very poor renewal by seed production and seedling appearance biotechnological method, clonal micropropagation has been elaborated in order to improve its chances of conservation. A protocol for clonal micropropagation, including introduction, propagation, rooting, acclimatization, field cultivation and prolonged cold storage has been elaborated. Half-dose MS salts, benzylaminopurine 1 mg/dm 3 and 2% sucrose were optimal components of the medium for clonal micropropagation. Sucrose was the superior carbon source by comparison with glucose and maltose. It was found that some agar brands were better for propagation, whereas other ones were better for rooting. Transplants produced from acclimatized plantlets vegetated successfully in field conditions, but did not survived in Irkutsk after wintering. However, the same transplants planted into their natural population survived successfully. Micropropagated plantlets retained their ability for propagation in vitro after 10-12 months of cold storage at 4˚C with illumination. It was concluded that clonal micropropagation may be used as an additional means for conservation of H. zundukii.

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Section: Discussionmentioning

confidence: 99%

A possibility of saving an endangered endemic of the Lake Baikal shore, Hedysarum zundukii Peschkova (Fabaceae Lindl.) using clonal micropropagation

Gamburg¹

2013

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“…Nutritional growth limitation decreases the supply of carbon and inorganic nutrients whereas chemical growth limitation involves the application of osmotically active agents such as mannitol, sorbitol, polyethylene glycol (PEG) or growth retardants such as abscisic acid (ABA) and hydrazides. In potato, for example, extended periods in MTS can be achieved by different protocols which either apply Murashige and Skoog (MS) medium, sucrose and the growth retardant ancymidol at 6 • C resulting in storage periods of 12 months [50]; MS and mannitol at 6 • C for storage periods of 16 months [51] or MS, sucrose, mannitol at 6 • C for storage periods of 30 months [52]. This shows that often combinations and variations of different slow-growth approaches need to be adapted for different species.…”

Section: Setting Up In Vitro Collectionsmentioning

confidence: 99%

Challenges and Prospects for the Conservation of Crop Genetic Resources in Field Genebanks, in In Vitro Collections and/or in Liquid Nitrogen

Panis

Nagel

houwe

2020

Plants

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The conservation of crop genetic resources, including their wild relatives, is of utmost importance for the future of mankind. Most crops produce orthodox seeds and can, therefore, be stored in seed genebanks. However, this is not an option for crops and species that produce recalcitrant (non-storable) seeds such as cacao, coffee and avocado, for crops that do not produce seeds at all; therefore, they are inevitably vegetatively propagated such as bananas, or crops that are predominantly clonally propagated as their seeds are not true to type, such as potato, cassava and many fruit trees. Field, in vitro and cryopreserved collections provide an alternative in such cases. In this paper, an overview is given on how to manage and setup a field, in vitro and cryopreserved collections, as well as advantages and associated problems taking into account the practical, financial and safety issues in the long-term. In addition, the need for identification of unique accessions and elimination of duplicates is discussed. The different conservation methods are illustrated with practical examples and experiences from national and international genebanks. Finally, the importance of establishing safe and long-term conservation methods and associated backup possibilities is highlighted in the frame of the global COVID-19 pandemic.

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“…These approaches make predictions relying on basic patient information, clinical symptoms [31–33], as well as travel history [34] and discharge time of hospitalized patients [16]. Some other efforts focus on identifying patients requiring specialized care, namely hospitalization and/or specialized care units [35–37], or patients at a higher fatality risk [38, 39].…”

Section: Ntroductionmentioning

confidence: 99%

Identification of high-risk COVID-19 patients using machine learning

Quiroz-Juárez

Gómez

Hoyo-Ulloa

et al. 2021

Preprint

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The current COVID-19 public health crisis, caused by SARSCoV- 2 (severe acute respiratory syndrome coronavirus 2), has produced a devastating toll both in terms of human life loss and economic disruption. In this paper we present a machine-learning algorithm capable of identifying whether a given patient (actually infected or suspected to be infected) is more likely to survive than to die, or vice-versa. We train this algorithm with historical data, including medical history, demographic data, as well as COVID-19-related information. This is extracted from a database of confirmed and suspected COVID-19 infections in Mexico, constituting the official COVID-19 data compiled and made publicly available by the Mexican Federal Government. We demonstrate that the proposed method can detect high-risk patients with high accuracy, in each of four identified treatment stages, thus improving hospital capacity planning and timely treatment. Furthermore, we show that our method can be extended to provide optimal estimators for hypothesis-testing techniques commonly-used in biological and medical statistics. We believe that our work could be of use in the context of the current pandemic in assisting medical professionals with real-time assessments so as to determine health care priorities.

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Untitled

Cited by 25 publications

References 29 publications

A possibility of saving an endangered endemic of the Lake Baikal shore, <i>Hedysarum zundukii</i> Peschkova (<i>Fabaceae</i> Lindl.) using clonal micropropagation

A possibility of saving an endangered endemic of the Lake Baikal shore, <i>Hedysarum zundukii</i> Peschkova (<i>Fabaceae</i> Lindl.) using clonal micropropagation

Challenges and Prospects for the Conservation of Crop Genetic Resources in Field Genebanks, in In Vitro Collections and/or in Liquid Nitrogen

Identification of high-risk COVID-19 patients using machine learning

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Untitled

Cited by 25 publications

References 29 publications

A possibility of saving an endangered endemic of the Lake Baikal shore, &lt;i&gt;Hedysarum zundukii&lt;/i&gt; Peschkova (&lt;i&gt;Fabaceae&lt;/i&gt; Lindl.) using clonal micropropagation

A possibility of saving an endangered endemic of the Lake Baikal shore, &lt;i&gt;Hedysarum zundukii&lt;/i&gt; Peschkova (&lt;i&gt;Fabaceae&lt;/i&gt; Lindl.) using clonal micropropagation

Challenges and Prospects for the Conservation of Crop Genetic Resources in Field Genebanks, in In Vitro Collections and/or in Liquid Nitrogen

Identification of high-risk COVID-19 patients using machine learning

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Product

Resources

About

A possibility of saving an endangered endemic of the Lake Baikal shore, <i>Hedysarum zundukii</i> Peschkova (<i>Fabaceae</i> Lindl.) using clonal micropropagation

A possibility of saving an endangered endemic of the Lake Baikal shore, <i>Hedysarum zundukii</i> Peschkova (<i>Fabaceae</i> Lindl.) using clonal micropropagation