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Volume 6, Issue 4 (Suppl) Agrotechnology, an open access journal
ISSN: 2168-9881 Agri 2017
October 02-04, 2017
allied
academies
10th International Conference on
AGRICULTURE & HORTICULTURE
October 02-04, 2017 London, UK
Effect of accumulated temperature on the growth and development of tomato fruits in flowering
clusters
Ju Young Lee, Hyung Seok Kim and Un Seok Lee
KIST, South Korea
Tomato fruits ripened 57 in the first, 71 in the second, 78 in the third, 57 in the fourth, 58 in the fifth, 58 in the sixth,
48 in the seventh, 51 in the eighth, and 51d in the ninth flower cluster after fruit set when plants were grown under
environmental conditions at whole growing season. The different responses to accumulated temperature were observed when
the accumulated temperatures gave to the individual clusters while the plants were grown in the greenhouse. These data were
used to develop an individual clustering thermal model for fruit maturation. In previous model, the overall clustering thermal
model was a poor predictor of the time of ripening. However, this thermal model was made by individual cluster. The seed of
tomato (Lycopersicon esculentum Mill ‘Tabor’) were sown in to seed trays containing a peat based seed and were germinated
in the place of raising seeding in a minimum 240c. Then, plants were moved to greenhouse (Chun-An City, South Korea) in
which experimental treatment were applied. In the field experiment, 100 plants of tomato were selected during total growth
period (1st-9th flower cluster). Every week, the height and diameter of tomato were measured at individual cluster after fruit
set. The volume of tomato was estimated according to the relationship between theoretical volume and actual volume. For this
relationship, the height and diameter of 2000 fruits were measured and the relationship was a “y=1.1122x+12.545 (r2=0.9534)”.
Here, the relationships between accumulated temperature and fruit volume were obtained based on average fruit volume in
individual cluster.
Biography
Ju Young Lee has a strong background in Ecological Engineering field based on Statistical and Mathematical Modeling about plant growth and yield model. He has
served in main positions for Smart Farm Projects with governmental funds.
Ju Young Lee et al., Agrotechnology 2017, 6:4(Suppl)
DOI: 10.4172/2168-9881-C1-028