Abstract: Castor (Ricinus communis L.) is one of the important
non-edible oilseed crops having immense industrial and medicinal
value. Oil yield per unit area is the ultimate target in growing oilseed
plants and sowing date is one of the important factors which have a
clear role on production of active substances particularly in oilseeds.
This study was conducted to evaluate the effect of sowing date on the
seed and oil yield of castor in Central Anatolia of Turkey in 2011.
The field experiment was set up in a completely randomized block
design with three replications. Black Diamond-2 castor cultivar was
used as plant material. The treatment was four sowing dates of May
10, May 25, June 10, June 25. In this research; seed yield, oil content
and oil yield were investigated. Results showed that the effect of
different sowing dates were significant on all of characteristics. In
general; delayed sowing dates, resulted in decreased seed yield, oil
content and oil yield. The highest value of seed yield, oil content and
oil yield (respectively, 2523.7 kg ha-1, 51.18% and 1292.2 kg ha-1)
were obtained from the first sowing date (May 10) while the lowest
seed yield, oil content and oil yield (respectively, 1550 kg ha-1,
43.67%, 677.3 kg ha-1) were recorded from the latest sowing date
(June 25). Therefore, it can be concluded that early May could be
recommended as an appropriate sowing date in the studied location
and similar climates for achieved high oil yield of castor.
Abstract: The aim of this work was to detect genetic variability among the set of 40 castor genotypes using 8 RAPD markers. Amplification of genomic DNA of 40 genotypes, using RAPD analysis, yielded in 66 fragments, with an average of 8.25 polymorphic fragments per primer. Number of amplified fragments ranged from 3 to 13, with the size of amplicons ranging from 100 to 1200 bp. Values of the polymorphic information content (PIC) value ranged from 0.556 to 0.895 with an average of 0.784 and diversity index (DI) value ranged from 0.621 to 0.896 with an average of 0.798. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm was prepared and analyzed genotypes were grouped into two main clusters and only two genotypes could not be distinguished. Knowledge on the genetic diversity of castor can be used for future breeding programs for increased oil production for industrial uses.