Agronomical and nutritional characterization of soybean for BLSSs: Lessons learned from the Melissa project. Food characterization phase I

Veronica De Micco, Roberta Paradiso, Giovanna Aronne, Vincenzo Fogliano, Stefania De Pascale

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Abstract

Bioregenerative Life Support Systems (BLSSs) are fundamental for the realization of long-duration exploratory- class manned missions in so far as they help fulfilling astronauts' needs. Higher plants in BLSSs may act a major role by regenerating resources, supplying fresh food and providing psychological support. The program ESA - MELiSSA (European Space Agency - Micro-Ecological Life Support System Alternative) aims to conceive an artificial bioregenerative ecosystem based on both microorganisms and higher plants. Soybean [Glycine max (L.) Merr.] is one of the four crops selected within this program as a candidate for cultivation in forthcoming BLSSs. Soybean has been chosen for cultivation in BLSSs because its seeds have high nutritional value, being rich in proteins and lipids, and contain proteins possibly hampering diseases triggered by the exposure to Space factors. In this study, we describe the process of theoretical cultivar selection and the experimental soybean cultivation in a soilless system, aiming to indicate a roadmap to achieve an objective selection of the best candidate cultivar for cultivation in BLSSs. More specifically, we illustrate a three-step procedure: The development of an algorithm aiming to theoretically identify (on the basis of available information worldwide) a selection of cultivars (candidates) suitable for cultivation in controlled conditions in Space; The agronomical and nutritional characterizations of the candidate cultivars after their cultivation in an on- purposc designed hydroponic system; The re-running of the mathematical procedure (SI) based on data obtained through the cultivation trials (S2) performed on the candidates. The reported experience shows the high potentiality of our approach in cultivar selection since parameters of the algorithm were modulated not only depending on the scope of the cultivar choice, but also after new knowledge was gained. A reliable re-modulation of the algorithm would be possible to select specific cultivars to obtain the desired nutritional features of the soybean raw material depending on specific final destination in the sight of the development of new technologies for simple food processing on-board. c. Copyright

Original languageEnglish
Title of host publication63rd International Astronautical Congress 2012, IAC 2012
Pages1354-1360
Number of pages7
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event63rd International Astronautical Congress 2012, IAC 2012 - Naples, Italy
Duration: 1 Oct 20125 Oct 2012

Publication series

NameProceedings of the International Astronautical Congress, IAC
Volume2
ISSN (Print)0074-1795

Conference

Conference63rd International Astronautical Congress 2012, IAC 2012
CountryItaly
CityNaples
Period1/10/125/10/12

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  • Cite this

    De Micco, V., Paradiso, R., Aronne, G., Fogliano, V., & De Pascale, S. (2012). Agronomical and nutritional characterization of soybean for BLSSs: Lessons learned from the Melissa project. Food characterization phase I. In 63rd International Astronautical Congress 2012, IAC 2012 (pp. 1354-1360). (Proceedings of the International Astronautical Congress, IAC; Vol. 2).