Two hundred safflower accessions, originated in 37 countries, and multiplied in two environments, were evaluated for fatty acid composition of the seed oil and other seed characters . Overall mean values of stearic and palmitic acids were similar in both environments but differed for seed weight and oil content . Oleic and linoleic acids showed also similar overall mean content in both environments but some entries with intermediate contents of these acids displayed significant variation among environments . Oleic and linoleic acids showed a tremendous range of variation, from 3 .1 to 90.60 % and from 3 .9 to 88 .8 %, respectively. The ranges of variation observed for stearic, oleic and linoleic acids indicate that all the reccessive genes, already discovered, controlling high content of these acids, st, of and li, are present in the collection . Moreover, the upper values of oleic, ten points higher than the published values for the high oleic genotype olol, suggest than other genes controlling such levels may be present .
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present a methodology for detecting eyes robustly in indoor environments in real-time. We exploit the physiological properties and appearance of eyes as well as head/eye motion dynamics. Infrared lighting is used to capture the physiological properties of eyes, Kalman trackers are used to model eye/head dynamics, and a probabilistic based appearance model is used to represent eye appearance. By combining three separate modalities, with specific enhancements within each modality, our approach allows eyes to be treated as robust features that can be used for other higher-level processing.
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