Forage yield and lodging traits in peas (Pisum sativum L.) with different leaf types

Two semi-leafless and four leafed pea (Pisum sativum L.) genotypes were evaluated for plant height, lodging scores, and forage yield in eight diverse locations with typical Mediterranean or Mediterranean-type climate in the 2001-2002 and 2002-2003 growing seasons. The genotypes used in this study were forage type with indeterminate growing habit. Significant differences among pea genotypes were found for all traits over years and locations. All interactions which related to G x E interaction showed significance (P>0.01) for all traits. The forage yield of the pea genotypes averaged 26605 kg ha(-1) and the highest yield was obtained from the leafed genotype Urunlu. Its forage yield reached to 35970 kg ha(-1) yield level at Samsun location

Genotype x nvironment interaction and stability analysis for dry matter and seed yield in field pea (Pisum sativum L.)

The objectives of this study were to evaluate dry matter (DM) yield and seed yield of six leafed and semi-leafless pea (Pisum sativum L.) genotypes, and to compare them for these traits. Evaluation of genotype x environment (G x E) interaction, stability and cluster analysis were also carried out at eight diverse locations with typical Mediterranean and Mediterranean-type climate during the 2001-2002 and 2002-2003 growing seasons. Significant differences were found among the pea genotypes for DM and seed yield on individual years and combined over years, and in all locations. All interactions which related to G x E interaction showed significance (P>0.001) for DM and seed yield. The highest yield (4789 kg ha(-1)) was obtained from the leafed genotype 'Urunlu'. However, stability analysis indicated that for DM yield, the leafed genotypes 'Golyazi' and 'Urunlu' should be grown in low yielding and high yielding environments, respectively. Cluster analysis, based on grouping locations, showed that P101 was the preferred variety in low yielding environments, and P98, in high yielding ones. It was suggested that the use of both stability and cluster analyses might give better results. Comparison of cluster and stability analyses showed that the stability analysis fails to recommend cultivars to different regions where yield potential showed significant differences. It seems, however, that cluster analysis could be a powerful tool to examine G x E interaction. If the number of environments was sufficient, a separate stability analysis could be run in each cluster

The accuracy and validity of a weekly point-prevalence survey for evaluating the trend of hospital-acquired infections in a university hospital in Turkey

Geyik, Mehmet Faruk/0000-0002-0906-0902WOS: 000296092400005PubMed: 21757384Objective: To evaluate the validity of a weekly point-prevalence survey (WPS) by comparing it with a prospective-active incidence survey (PIS). Methods: WPS and PIS were conducted at a tertiary referral hospital between January and December 2006. Each Wednesday, an infection control team reviewed all clinical records of patients with hospital-acquired infections (HAIs) by WPS. Routine PIS was conducted with daily visits by the same team. The Rhame and Sudderth formula was used for converting the data between WPS and PIS. Results: During the study period, 1287 HAIs were detected in 37 466 patients by WPS. The mean observed prevalence and calculated prevalence were 5.42% and 5.45%, respectively. The reanimation intensive care unit (ICU) (49.4%) and burns unit (27.6%) had the highest prevalence rates. Pneumonia (0.94%) and urinary tract infections (0.37%) were the most frequent infections. Overall 602 HAIs were detected in 545 patients by PIS. The mean observed incidence and calculated incidence were 2.42/1000-admissions and 2.41/1000-admissions, respectively. The Critical care ICU (37.0/1000-admissions) and burns unit (24.8/1000-admissions) had the highest incidences of HAI. Pneumonia (0.64/1000-admissions) and urinary tract infections (0.37/1000-admissions) were the most frequent infections. Conclusions: This study confirms a close relationship between prevalence and incidence data. WPS may be a useful method for following HAIs when PIS cannot be performed. (C) 2011 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved

Surveillance of Nosocomial Infections in Dicle University Hospital: a Ten-Year Experience

Geyik, Mehmet Faruk/0000-0002-0906-0902WOS: 000262928800014Aim: The main objective was to recognize the evaluation of surveillance program on the nosocomial infections (NIs) in Dicle University Hospital (DUH) Materials and Methods: A prevalence study was performed prospectively, at the DUH from 1997 to 2006. Active surveillance for NIs were performed by infection control team, using the criteria proposed by the Centers for Diseases Control and Prevention (CDC) and National Nosocomial Infections Surveillance System (NNIS) methodology. This team includes infection control doctor and two nurses, who visited hospital units three times a week. All cases with NI were recorded using a standard data collection form. Results: During ten years of follow up period, 3382 NI episodes were detected in 3075 patients out of 250209 inpatients. The overall incidence rates (NI/100) and incidence densities (NI/1000 days of stay) of NIs were 1.4% (range 0.8-2.5/100) and 1.7/1000 patients-days (range 0.7-2.5/1000), respectively. NIs were seen frequently in intensive care unit (20.1 episodes per 1000 bed-days), burn unit (14.5 episodes per 1000 bed-days), and neurology (3.7 episodes per 1000 bed-days). The most common NIs according to the primary sites were urinary tract infection (24%), bloodstream infection (22%), pneumonia (13%) and surgical site infection (13%). The most prevalent microorganisms were Escherichia coli (26%), Pseudomonas aeruginosa (15%), coagulase-negative staphylococci (14%) and Staphylococcus aureus (13%). Amikacin and meropenem were the most effective agents against Gram-negative bacteria. Meticillin resistance among S. aureus isolates was 67% and all were sensitive to vancomycin. Conclusions: This study represents that the rate of NIs reduced with appropriate interventions. Surveillance and constant monitoring are effective along with educating the staff about infection control practices

Surveillance of nosocomial infections in general surgery unit: Data of ten years period

Aim: The aim of this study is to evaluate the epidemiologic data of nosocomial infection (NI) occurring in the General Surgery Unit (GSU). Method: This study was performed between January 1997 and December 2006. The surveillance method was active, prospective, and based on laboratory and patient. NIs were defined according to Centers for Diseases Control and Prevention criteria (CDC). Results: During the ten-year period, 305 NI episodes were detected in 290 patients. The overall incidence rates and incidence densities of NIs were 2.0% and 2.3/1,000 patient-day respectively. The most common NIs by primary site were surgical site infections, urinary tract infections, and pneumonia. The most prevalent microorganisms were Escherichia coli (36.8%), Staphylococcus aureus (17.7%) and Pseudomonas aeruginosa (10.5%). Meticillin resistance among S. aureus isolates was 76%. Meropenem and amikacin were the most effective agents against to Gram-negative bacteria. Conclusion: In order to detect of the variation and trends of NIs, the data of surveillance activities must be evaluated decisively and regularly with collaboration among infection control team, Infectious Disease clinic, and GSU. © 2010 Düzce Medical Journal

Examination of educational technology articles within 2014

Bu çalışmanın amacı, 2014 yılına ait Social Sciences Citation Index (SSCI) kapsamındaki eğitim teknolojileri alanında önde gelen uluslararası sekiz dergideki makalelerin içerik analizi yöntemiyle incelenmesidir. Araştırmada “Eğitim Teknolojileri Yayın Sınıflama Formu” adı ile Sözbilir ve Kutu (2008), Masood (2004), Reeves (1995) çalışmalarından yararlanılarak Göktaş vd. (2012) tarafından geliştirilip, ardından Kiliç-Çakmak vd. (2013)’ın üzerinde bazı değişiklikler yaparak “Makale İnceleme Formu (MİF) (Article Review Form)” olarak adlandırdıkları veri toplama aracı kullanılmıştır. Araştırma sonuçları incelendiğinde makalelerde; yöntem olarak en çok “nicel yöntem”, veri toplama aracı olarak en çok “anket”, veri toplama yöntemi olarak en çok “klasik”, örneklem seçimi olarak en çok “kolay ulaşılabilir örneklem”, örneklem sayısı olarak en çok “31-100 aralığı”, örneklem düzeyi olarak en çok eğitim fakültesi dışındaki fakültelerde “lisans (diğer)”, örneklem türü olarak en çok fen, matematik, sosyal dışındaki “diğer”, veri analiz yöntemi olarak en çok “kestirimsel analiz” yönteminin daha çok tercih edildiği ve “öğretim tasarımı” ve “eğitimde bilişim teknolojileri” konularının ise en çok incelenen konular olduğunu görülmüştür