Optimization of growth environment in a plant production facility using a chlorophyll fluorescence method

Kee Sung Kim, Gene A. Giacomelii, Sadanori Sase, Jung Eek Son, Sang Woon Nam, Fumio Nakazawa

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Chlorophyll fluorescence has been known as one of the indicators of photosynthetic status to various environmental stresses. The aims of this study were to assess the effects of environmental factors on lettuce chlorophyll fluorescent responses (Fv/Fm) and to develop an environment optimization model for lettuce growth using a simple genetic algorithm. High values of Fv/Fm were observed when environmental factors were 22-26°C ambient temperature, 15-23°C root zone temperature, 900-1,600 ppm CO2 concentration, 0.4-1.3 m·s-1 air current speed, and 65-85% relative humidity. As photosynthesis photon flux (PPF) increased over 150 μmol·m -2·s-1, Fv/Fm values were decreased. Principle component analysis was used to estimate the combined effects of six environmental factors on lettuce growth. The developed model fitted observed Fv/Fm values with an average standard error of 1.2%. An optimal environment for lettuce growth was estimated by the model to be 22°C ambient temperature, 20°C root zone temperature, 1,578 ppm CO2 concentration, 1.3 m·s-1 air current speed, 216 μmol·m -2·s-1 PPF, and 75% relative humidity. The Fv/Fm value can be a good indicator of plant stress level and thus a useful parameter to optimize the environment for plant growth.

Original languageEnglish (US)
Pages (from-to)149-156
Number of pages8
JournalJapan Agricultural Research Quarterly
Issue number2
StatePublished - Apr 2006


  • Environmental stress
  • Fv/Fm
  • Genetic algorithm
  • JAVA
  • Principle component analysis

ASJC Scopus subject areas

  • Biotechnology
  • Ecology
  • Animal Science and Zoology
  • Agronomy and Crop Science


Dive into the research topics of 'Optimization of growth environment in a plant production facility using a chlorophyll fluorescence method'. Together they form a unique fingerprint.

Cite this