Mathematics – Logic
Scientific paper
Jan 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997adspr..20.1979j&link_type=abstract
Advances in Space Research, Volume 20, Issue 10, p. 1979-1988.
Mathematics
Logic
Scientific paper
Information about compositional changes in plants grown in controlled environments is essential for developing a safe, nutritious diet for a Controlled Ecological Life-Support System (CELSS). Information now is available for some CELSS candidate crops, but detailed information has been lacking for soybeans. To determine the effect of environment on macronutrient and mineral composition of soybeans, plants were grown both in the field and in a controlled environment where the hydroponic nutrient solution, photosynthetic flux (PPF), and CO_2 level were manipulated to achieve rapid growth rates. Plants were harvested at seed maturity, separated into discrete parts, and oven dried prior to chemical analysis. Plant material was analyzed for proximate composition (moisture, protein, lipid, ash, and carbohydrate), total nitrogen (N), nonprotein N (NPN), nitrate, minerals, amino acid composition, and total dietary fiber. The effect of environment on composition varied by cultivar and plant part. Chamber-grown plants generally exhibited the following characteristics compared with field-grown plants: 1) increased total N and protein N for all plant parts, 2) increased nitrate in leaves and stems but not in seeds, 3) increased lipids in seeds, and 4) decreased Ca:P ratio for stems, pods, and leaves. These trends are consistent with data for other CELSS crops. Total N, protein N, and amino acid contents for 350 ppm CO_2 and 1000 ppm CO_2 were similar for seeds, but protein N and amino acid contents for leaves were higher at 350 ppm CO_2 than at 1000 ppm CO_2. Total dietary fiber content of soybean leaves was higher with 350 ppm CO_2 than with 1000 ppm CO_2. Such data will help in selecting of crop species, cultivars, and growing conditions to ensure safe, nutritious diets for CELSS.
Bugbee Bruce
Jurgonski L. J.
Nielsen Stefan
Smart D. J.
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