In fluence of parental components on technological quality of hybrids of X Triticosecale Wittmack with Agrotriticum sp.

Crossing a wild species of Triticeae tribe, e.g. Agrotriticum sp., with cultivated form of them, can enrich them in new, valuable genes as well as their recombinations, which determines their favorable traits from a breeding and agricultural point of view. The aim of present paper was to analyze some traits affecting the grain technological value at hybrid strains of triticale with Agrotriticum and to evaluate the influence of particular parental forms on value of tested traits at hybrids. There are no data on the subject in literature. Five hexaploid breeding triticale strains produced by crossing triticale with Agrotriticum (Gruszecka, 1992) and parental components: two triticale and two Agrotriticum forms were studied. Plants were harvested in 2000 and 2001. Kernels of obtained triticale hybrid forms were characterized by high amylolytic activity expressed by low falling number. Two strains were distinguished with higher falling number and higher flour strength, but they did not come up to Agrotriticum referring to the trait value. Gluten content was lower at studied strains than at corresponding parental components and its low quality was worse than that for Agrotriticum forms. Yield of total flour was low and not exceeding 60%. Obtained laboratory breads had pleasant and aromatic flavor. Crumb of bread produced from Agrotriticum was more elastic and had less moisture than that baked from triticale. Excellent strain No 2 – CZR 028/19/95 - {[(Lanca × L 506/79) × CZR 142/79] × (Triticum aestivum × Agropyron 1)} was characterized by porosity structure similar to that of Agrotriticum parental form. Bread achieved from the strain’s flour was distinguished with low baking loss, and high efficiency and volume. However, slight effect of parental Agrotriticum forms on qualitative trait values of tested strains triticale with Agrotriticum cross-combinations was proved

Fast Track Algorithm: How To Differentiate A “Scleroderma Pattern” From A “Non-Scleroderma Pattern”

Objectives: This study was designed to propose a simple “Fast Track algorithm” for capillaroscopists of any level of experience to differentiate “scleroderma patterns” from “non-scleroderma patterns” on capillaroscopy and to assess its inter-rater reliability. Methods: Based on existing definitions to categorise capillaroscopic images as “scleroderma patterns” and taking into account the real life variability of capillaroscopic images described standardly according to the European League Against Rheumatism (EULAR) Study Group on Microcirculation in Rheumatic Diseases, a fast track decision tree, the “Fast Track algorithm” was created by the principal expert (VS) to facilitate swift categorisation of an image as “non-scleroderma pattern (category 1)” or “scleroderma pattern (category 2)”. Mean inter-rater reliability between all raters (experts/attendees) of the 8th EULAR course on capillaroscopy in Rheumatic Diseases (Genoa, 2018) and, as external validation, of the 8th European Scleroderma Trials and Research group (EUSTAR) course on systemic sclerosis (SSc) (Nijmegen, 2019) versus the principal expert, as well as reliability between the rater pairs themselves was assessed by mean Cohen's and Light's kappa coefficients. Results: Mean Cohen's kappa was 1/0.96 (95% CI 0.95-0.98) for the 6 experts/135 attendees of the 8th EULAR capillaroscopy course and 1/0.94 (95% CI 0.92-0.96) for the 3 experts/85 attendees of the 8th EUSTAR SSc course. Light's kappa was 1/0.92 at the 8th EULAR capillaroscopy course, and 1/0.87 at the 8th EUSTAR SSc course. C Conclusion: For the first time, a clinical expert based fast track decision algorithm has been developed to differentiate a “non-scleroderma” from a “scleroderma pattern” on capillaroscopic images, demonstrating excellent reliability when applied by capillaroscopists with varying levels of expertise versus the principal expert and corroborated with external validation.Wo