Plant Growth Chambers for Soybean Research

Soybeans (Glycine max)

Soybeans belong to the Fabaceae or Leguminosae family commonly known as the legume, pea or bean family. Fabaceae is the modern standardized name based on the type genus Faba whereas Leguminosae is the older, traditional descriptive name based on the characteristic fruit. Both are used to describe the legume family.

Soybeans were domesticated 6,000-9,000 years ago from the wild which resulted in improved agronomic traits and yields. In recent times, soybeans have experienced remarkable global growth. In 2023, worldwide soybean production reached 371 million tonnes, making it the second most-produced oil crop globally after oil palm fruit.

Since 2010, soybean production has increased by 40%, reflecting its growing importance in global agriculture.1 Today, yield predictions indicate that at the current rate, yields will only increase by half of what the demand will be in 20502. Rather than land area expansions, breeding for climate-resilience under increasing climate extremes is critical to meet future soybean demand.

Soybeans growing in a Conviron chamber at the University of Minnesota, where researchers study plant growth and environmental interactions.

Soybeans are short-day annuals that can have determinate, semi-determinate and indeterminate growth habits. They, like other legumes, have the ability to fix atmospheric nitrogen known as biological nitrogen fixation when the roots partner with rhizobial bacteria. Under the right conditions, up to 90% of the nitrogen used by soybeans can be provided through biological nitrogen fixation.

Soybeans are valued for their high protein and oil contents with the end uses of 72% for animal feed, 18% for oils (food and biodiesel), 7% whole been use (tofu, soy milk) and 3% other. The top global soybean producer is Brazil, followed by the United States, Argentina and China.3

Some Climactic Factors Affecting Soybeans

Although sometimes studied independently, climactic factors have complex synergistic or antagonistic effects. Resilience to climate variability is often studied under controlled multi-factorial stress combinations:

1) CO2, Temperature and Drought: Controlled experiments and predictive modeling found a ‘Triple Effect’ between CO2, temperature and drought. Elevated CO2 offsets some of the stresses and yield reductions imposed by high temperatures and drought4.

2) Night temperatures are rising faster than daytime temperatures. Every 1°C increase in night temperature above 23°C resulted in a 2.8% decrease in soybean grain yield. Soybean physiology is more sensitive to high night temperatures in the reproductive vs vegetative stages5.

3) For many field crops, waterlogging is considered to be the second most serious hazard after drought. Waterlogging is becoming a greater problem due to increased excessive rain events. Soil saturation decreases the amount of available oxygen leading to hypoxia which results in yield losses, decreased respiration and reduced nodulation. However, hypoxia is typically reversible once excess water has drained away, although the extent of waterlogging tolerance and subsequent recovery varies among cultivars6.

Soybean Speed Breeding in Growth Chambers

Breeding for climate variability resilience and recovery from stress is needed to meet the increasing global demand for food and materials from soybeans.

Over the last 40 years many soybean speed breeding protocols have been published that included the use of growth regulators, low temperatures, CO2 enrichment, far-red light and more recently LED spectral distributions. All of these contributed to decreasing the generation time from 1-3 generations per year in the field or greenhouse to 4-5 generations per year. One problem with soybean generation cycles is they are short-day plants and are typically grown under short days for their entire life cycle to induce flowering. This limits growth as the daily light integral under constant irradiances is lower. Increasing the day length after flower initiation helped overcome light limitations for increased speed while an improved seed germination technique has further reduced the generation time enabling 6 generations per year7.

Table 1. Above, speed breeding protocol environmental set points and green seed harvest time for the optimized growth and germination protocol.


Figure 1. Below, visual seed to seed soybean speed breeding protocol adapted from Aciksoz, S.B. et. al. A: Green seeds were harvested, dried, sanitized, germinated with GA and transplanted. B. Soybean generational time. Photoperiod was extended to 22 h from anthesis until harvest. NOTE: Layout and visual presentation below have been modified while preserving the original information.7

Plant Growth Chambers for Soybean Research

Soybean research applications ranging from disease resistance screening and climate stress studies to accelerated breeding are often conducted in Conviron’s GEN1000, GEN2000, PGC Flex and as well as various walk-in growth rooms. These controlled environments provide the lighting, temperature, humidity, and CO2 management needed to support research from early-stage growth to providing sufficient canopy height for mature plants.

Recent Soybean Research Using Conviron Growth Chambers

PublicationRecent Research
International Journal of Molecular
Sciences
Genome-Wide Identification and Salt Tolerance Analysis of the SKS Gene Family in Soybean, 2026
Journal of Agronomy & Crop SciencePhysiological and Morphological Responses of Soybean to Water Stress and Rehydration: Implications for Growth, Seed Yield and Quality, 2026
G3 - Genes, Genomics, GeneticsPopulation structure and genetic diversity of Phakopsora pachyrhizi in the Southeastern United States, 2026
Phytobiomes JournalRhizo-Microbiome Engineering for Enhancing Soybean Resistance to Soybean Cyst Nematode, 2026
Cell ReportsStepwise selection of Tof11/12 and GmRVE1 facilitates soybean adaptation to high-latitude regions, 2026
BMC Plant BiologyUnravelling mechanisms of drought tolerance in a soybean cultivar (Daewonkong roots): insights into integrative transcriptomic and metabolite analyses, 2026
VirusesVirus-Mediated Overexpression of Two Allelic Protein Fragments Elicits Drastically Different Responses in Soybean, 2026
AgronomyWhole Transcriptome Analysis of a Soybean Hybrid and Its Parents to Identify Genes Associated with Heterosis, 2026
Genetics & Genomics of ResistanceChitin and Laminarin Trigger Plant Defense Responses Against Soybean Rust Caused by Phakopsora pachyrhizi, 2025
Frontiers in Plant ScienceGenome-wide characterization and stress-responsive expression analysis of the cinnamoyl-CoA reductase gene family in soybean, 2025
PhytoFrontiersIntegrating In Silico and In Vitro Approaches for Detecting Coniothyrium glycines in High-Throughput Sequencing (HTS) Datasets Using EDNAMiFi, 2025
Plant PhenomicsPhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments, 2025
Journal of Plant Diseases & ProtectionPhotoinactivation by cationic porphyrins reduces germination and severity of Phakopsora pachyrhizi, the cause of Asian Soybean rust, 2025
AgricultureSynergistic Effect of PGPR and Nutrient Complex on Soybean Seed Germination and Initial Seedling Growth, 2025
PlantsTranscriptomic Profiling Unravels the Molecular Mechanisms of GmCMLMediated Resistance to Fusarium oxysporum in Soybean, 2025

References

  1. FAOSTAT, Agricultural production statistics 2010–2023, (https://doi.org/10.4060/cd8035...)
  2. Bayer, P.E. et.al. (2021) Sequencing the USDA core soybean collection reveals gene loss during domestication and breeding. The Plant Genome. 15:e20109. (https://doi.org/10.1002/tpg2.2...)
  3. USDA Soybean database. (https://www.fas.usda.gov/data/...)
  4. da Silva Fortirer, J. et. al. (2026) Soybean grain production and nutritional quality responses under elevated CO2, high temperature, and drought. Food Research International. 119004. (https://doi.org/10.1016/j.food...)
  5. Sankarapillai, L.V. et. al. (2025) Soybean grain production and nutritional quality responses under elevated CO2, high temperature, and drought. Food Research International. (2025) Plant Stress. 100826. (https://doi.org/10.1016/j.stre...)
  6. Sankarapillai, L.V. et. al. (2025) Recovery response of soybean to waterlogging during the flowering stage and early-seed breeding. Discover Agriculture. 3:225. (https://doi.org/10.1007/s44279...)
  7. Aciksoz, S.B. et. al. (2025) Speed breeding of soybean by using 22 h photoperiod increases photochemical efficiency of pods and produces six generations per year. Physiologia Plantarum. 177:3. (https://doi.org/10.1111/ppl.70...)

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