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The trial in this study was carried out in field conditions throughout three years from plots where seed production of sunflower parental lines was established. Eight genotypes were examined; namely RHA-UK, RHA-ST-59, RHA-SES-IMI, RHA-SNRF, RHA-E-ANN-65, RHA-RU-3, RHA-CDN, and RHA-N-M-1. All the examined genotypes are parental components of the best sunflower hybrids developed by the Institute of Field and Vegetable Crops, Novi Sad, Serbia. Relationships between seed yield and eight different traits in sunflower were studied - oil and protein content, seed germination, 1000-seed weight, head diameter, number of branches and leaves and plant height. The same analyses were carried out for comparison of oil content. A highly significant positive correlation was determined between plant height and number of branches; plant height and the number of leaves; plant height and head diameter; plant height and seed yield; number of branches and yield; the number of leaves and yield; head diameter and seed yield; number of leaves and number of branches; number of leaves and head diameter and between seed germination and oil content. Path analysis indicated highest significant direct effect of plant height on yield (0.439**). The number of branches had a significant positive direct effect on yield (0.260*). In the study of indirect effects on yield, thirteen significant effects were determined. The study of direct effects on oil content showed that the plant height and number of leaves diameter had high significant effects (0.800** and -0.847**). The existence of indirect significant effects on oil content was determined in nine cases. [ABSTRACT FROM AUTHOR]

Introduction. Human immunodeficiency virus infection is a disease of the modern era and it is estimated that there are more than 30 million infected individuals worldwide. Although the major cause is still unclear, patients infected with human immunodeficiency virus are at higher risk of ardiovascular diseases by 61% compared to general population. Material and Methods. This study included 111 male patients infected with human immunodeficiency virus treated at the Clinic of Infectious Diseases, Novi Sad, Serbia from January 2008 to December 2018. Five cardiovascular risk scores were used: Data Collection on Adverse Events of Antihuman immunodeficiency virus Drugs, Framingham 10-year Heart Score, Framingham 5-year Heart Score, prediction algorithm for cardiovascular disease and atherosclerotic cardiovascular disease risk estimator, at the beginning of the treatment, whereas cardiovascular events were recorded during the following 10 years. Results. Data Collection on Adverse Events of Anti-human immunodeficiency virus Drugs, Framingham 10-year Heart Score, Framingham 5-year Heart Score, and prediction algorithm for cardiovascular disease are tools that can identify individuals infected with human immunodeficiency virus at cardiovascular risk with statistical significance. The prediction algorithm for cardiovascular disease provides superior risk estimation compared to other scores. The atherosclerotic cardiovascular disease risk estimator did not show to be a marker of cardiovascular risk prediction among this population of patients. Conlusion. The above mentioned cardiovascular risk prediction algorithms, developed for general population, and Data Collection on Adverse Events of Anti-human immunodeficiency virus Drugs score, specific for population infected with human immunodeficiency virus, allow accurate cardiovascular risk estimation. Until the development of more specific algorithms, these scores are adequate tools for identification of patients at risk, providing prevention measures and treatment of cardiovascular disease. [ABSTRACT FROM AUTHOR]