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Related Experiment Videos

Swiss chard: a salad crop for the space program.

Logan S Logendra1, Matthew R Gilrain, Thomas J Gianfagna

  • 1Plant Biology Department, Rutgers University, New Brunswick, NJ 08901-8520, USA. logendra@AESOP.RUTGERS.EDU

Life Support & Biosphere Science : International Journal of Earth Space
|December 17, 2002
PubMed
Summary

Large White Ribbed (LWR) Swiss chard is ideal for space farming, offering high yields and excellent sensory qualities. This variety requires minimal vertical space, making it suitable for lunar and planetary food production modules.

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Area of Science:

  • Agricultural Science
  • Astrobiology
  • Horticulture

Background:

  • Salad greens are essential for future space missions.
  • Swiss chard (Beta vulgaris L.) is a promising candidate due to its nutritional value and yield.
  • Evaluating cultivars for space conditions is crucial.

Purpose of the Study:

  • To compare the yield, mineral content, and sensory attributes of five Swiss chard cultivars.
  • To assess their suitability for cultivation in controlled environments like space stations.
  • To identify the optimal cultivar for early space food production.

Main Methods:

  • Cultivating five Swiss chard cultivars under two light levels for 13 weeks.
  • Conducting weekly harvests to measure cumulative yields.
Keywords:
NASA Discipline Life Support SystemsNon-NASA Center

Related Experiment Videos

  • Analyzing mineral composition and evaluating sensory attributes for salad use.

    • Main Results:

    • Large White Ribbed (LWR) and Lucullus (LUC) cultivars exhibited the highest yields.
    • LWR demonstrated the shortest stature, minimizing vertical space requirements.
    • LWR also achieved the highest sensory ratings among the tested cultivars.

    Conclusions:

    • LWR Swiss chard is a highly suitable crop for space food production modules.
    • Its high yield, nutritional profile, space efficiency, and sensory appeal make it an ideal candidate.
    • Further testing of LWR in space food production modules is recommended.