July 2010
Computerized system for identification of some savanna tree species in Nigeria
A computerized system named LEASYS was developed to serve as a modern, less time-consuming and less cumbersome method of plant identification. The LEASYS system used was based on simultaneous narrowing of two classification systems that is, vertical and horizontal characters, and supplying these systems with an appropriate Boolean operator (the AND operator preferably). The system was based on leaf morphology...
July 2010
Homogeneous light in shade-house experiment overestimates carbon gains in Norway maple seedlings
We set up a shade-house experiment with Norway maple growing at two light intensities typical of a disturbed and undisturbed forest canopy from either a homogeneous or a dynamic regime that mimics sunflecks. We show that although horticultural-grade shade-cloths can be finely tuned to provide daily averages of any light intensity, they do not appropriately mimic natural forest understories which are...
July 2010
Use of soil water content in deciding the sowing time in dry land agriculture
Precipitation is the most important issue under dry land condition agriculture. However, soil water amount is the best parameter to decide the hydraulic stress level in crops. The main objective of this study was to determine a statistical model in deciding whether to plant or not under dry land condition. This model used soil water amount condition as the most important parameter. Two experiments were...
July 2010
Assessment of inter simple sequence repeat (ISSR) technique in mangosteen (Garcinia mangostana L.) grown in different Sumatra region
Inter-simple sequence repeat (ISSR) markers were used to examine the level of genetic diversity in mangosteen. Twenty three accessions of the Garcinia mangostana collection from Sumatra region were screened for ISSR markers. Eleven random ISSR primers were chosen to differentiate the investigated accessions. The primers generated 72 bands of which 42 (58%) were polymorphic and 30 bands (42%)...
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