Different methods, based on either Sanger sequencing or the MassARRAY((R)) genotyping technology, were then used to validate the genotypes obtained by SNPlex (TM) for 11 markers. The concordance of the genotypes obtained by SNPlex (TM) with the results obtained by the different

validation methods was 96%, except for one discarded marker. Furthermore, a mapping study on six markers showed the expected genetic positions previously described. To conclude, this study showed that high-throughput genotyping technologies developed for diploid species can be used successfully in polyploids, although there is a need for manual reading. For the first time in wheat species, a core of 39 SNPs is available that can serve as the Autophagy high throughput screening basis for the development of a complete SNPlex (TM) set of 48 markers.”
“Background and aim

Strength and power are crucial components to excelling in all contact sports; and understanding how a player’s strength and power levels fluctuate in response to various resistance training loads is of great interest, as it will inevitably dictate the loading parameters throughout a competitive season. This is a systematic review of training, maintenance and detraining studies, focusing on the development, retention and decay rates of strength and power measures in elite rugby union, rugby league and American football players.\n\nSearch strategies A literature search using MEDLINE, EBSCO Host, Google Scholar, IngentaConnect, OvidLWW,

Selleckchem PFTα ProQuest Central, ScienceDirect Journals, SPORTDiscus (TM) and Wiley InterScience was conducted. References were also identified from other review articles and relevant textbooks. From 300 articles, 27 met the inclusion criteria and were retained for further analysis.\n\nStudy quality Study quality was assessed via a modified 20-point scale created to evaluate research conducted in athletic-based AZD1208 mouse training environments. The mean +/- standard deviation (SD) quality rating of the included studies was 16.2 +/- 1.9; the rating system revealed that the quality of future studies can be improved by randomly allocating subjects to training groups, providing greater description and detail of the interventions, and including control groups where possible.\n\nData analysis Percent change, effect size (ES = [Post-X-mean – Pre-X-mean)/Pre-SD) calculations and SDs were used to assess the magnitude and spread of strength and power changes in the included studies. The studies were grouped according to (1) mean intensity relative volume (IRV = sets x repetitions x intensity; (2) weekly training frequency per muscle group; and (3) detraining duration. IRV is the product of the number of sets, repetitions and intensity performed during a training set and session. The effects of weekly training frequencies were assessed by normalizing the percent change values to represent the weekly changes in strength and power.