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Articles

DAY AND NIGHT TEMPERATURE OPTIMISATION FOR PLANT QUALITY BASED ON REGRESSION MODELS

Article number
654_5
Pages
55 – 62
Language
English
Abstract
Plant quality may be evaluated by the combination of any number of plant characteristics.
A method based on regression models with subsequent analysis of temperature regions for plant quality optimisation is described.
The effect of day (DT) and night (NT) temperatures on plant growth and developmental parameters were studied in the range between 15 and 35°C. The experiments included the following combinations of DT and NT (DT/NT): 15/15, 15/25, 15/35, 25/15, 25/25, 25/35, 35/15, 35/25, 35/35, 20/20, 20/30, 30/20, 30/30oC. The pre-generative period of cucumber plant ontogenesis with 5 stages was studied.
The situation of common optimum temperature region for plant growth and development changed in the ontogenesis.
Common optimum temperature region for geterotrophic seedling extended to higher DT and NT. At the mesotrophic and juvenile stage the temperature dependencies for all processes were shifted toward the lower temperature regions and at the immature stage – toward higher temperatures again.
Higher DT and lower NT promote growth and development of virgin plants.
Regression models were used to optimise DT and NT to obtain high quality young cucumber plants, too.

Publication
Authors
M.I. Sysoyeva, E.F. Markovskaya
Keywords
Cucumis sativus L., optimum, temperature, modelling, plant ontogenesis
Full text
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