Genetic Variability Studies in M5 Generations of Determinate Early Maturing Cluster Bean [Cyamopsis tetragonoloba (L.) Taub] (MDU-1) Mutants for Yield and Yield Attributing Characters

Background: MDU-1 is a high yielding, indeterminate cluster bean variety. In order to develop determinate mutant with high yield, MDU-1 cluster bean variety was irradiated using gamma rays, electron beam and combination of gamma rays and EMS with different doses and the variability induced in M5 generations were studied. Methods: Twenty one best individual plants from M4 generation were selected based on plant height and higher yield and forwarded to M5 generation where they were evaluated in RBD with three replications. Fourteen non-segregating mutant lines with desirable traits were identified in M5 generation and were evaluated for variability along with the parent MDU1. Result: Five best mutant lines namely ACMC-020-04, ACMC-020-11, ACMC-020-08, ACMC-020-10 and ACMC-020-11 were selected from the 14 accessions based on per se performance and variability analysis. The selected mutants needs to be forwarded for stability testing in different environments.

The Empirical Adaptive Wavelet Decomposition (EAWD): An adaptive decomposition for the variability analysis of observation time series in atmospheric science

Most observational data sequences in geophysics can be interpreted as resulting from the interaction of several physical processes at several time and space scales. As a consequence, measurements time series have often characteristics of non-linearity and non-stationarity and thereby exhibit strong fluctuations at different time-scales. The variability analysis of a time series consists in decomposing it into several mode of variability, each mode representing the fluctuations of the original time series at a specific time-scale. Such a decomposition enables to obtain a time-frequency representation of the original time series and turns out to be very useful to estimate the dimensionality of the underlying dynamics. Decomposition techniques very well suited to non-linear and non-stationary time series have recently been developed in the literature. Among the most widely used of these technics are the empirical mode decomposition (EMD) and the empirical wavelet transformation (EWT). The purpose of this paper is to present a new adaptive filtering method that combines the advantages of the EMD and EWT technics, while remaining close to the dynamics of the original signal made of atmospheric observations, which means reconstructing as close as possible to the original time series, while preserving its variability at different time scales.

Heart rate variability analysis of students with different motor activity levels

Relevance. Assessment of the functional state of the body is one of the leading tasks of physiology. The article deals with the analysis of the initial vegetative status of students with different levels of motor activity. Materials and Methods. Registration and analysis of the heart rate variability was carried out with the help of a modern complex electrophysiological laboratory CONAN - 4.5. The heart activity of students engaged in physical culture within the educational process was evaluated on the basis of heart rate variability analysis. Results and Discussion. It was revealed that among the entire studied array of students (with the differentiation of the initial vegetative status calculated according to muscle tension index), normotonics are characterized by an optimal ratio between the parasympathetic and sympathetic divisions of the autonomic nervous system. At the same time, the value of the coefficient of physical activity in the studied group was determined at the level of 1.730.1. Conclusion. For vagotonics, the value of the triangular index was 2.50.2 conventional units (CU), which confirms the idea of an increase in the influence on the autonomic nervous system. The value for normotonics is 2.20.1 CU. This group was characterized by the balance between the sympathetic and parasympathetic parts of the autonomic nervous system. In sympathicotonics - 1.90.5 CU, which confirms the idea of increasing the influence of the sympathetic division of the autonomic nervous system. In hypersympathicotonics-1.10.4 CU. To ensure adequate functioning of the cardiovascular system and for normal adaptation to physical exertion in students, it is necessary to form a level of motor activity that quantitatively corresponds to a coefficient of physical activity of at least 1.75.