G x E Interaction and path analysis for yield and its attributing traits in advanced genotypes of pigeonpea [Cajanus cajan (L.) Millsp.]

The present investigation was carried out during kharif-2012, 2013 and 2014 under rain fed condition at the Agricultural Research Station, Kalaburagi located in north eastern dry zone (Zone 2) of Karnataka, to know the stability and path analysis of the twenty genotypes of pigeonpea including check WRP-1. Highly significant differences among genotypes were observed for all the characters except primary branches. Environmental + (Genotype × Environment) interaction was significant for days to maturity, primary branch, pod bearing length, and seed yield per plant. The variance due to pooled deviation was highly significant for all the characters except for primary branches, pod length and number of seeds per pod which reflect the presence of sufficient genetic variability in the material. Out of 20 genotypes studied, RVK-275 (X=38.713, bi=1.7 and S2di = -9.67) and AKT-9913 (X =43.397, bi=2.86 and S2di= -7.42) were found to be a stable for seed yield and test weight, across the environments with good stability under rain fed conditions compared to local check. Path analysis revealed that days to flower initiation (3.942 and 1.123), days to maturity (1.493 and 0.960), primary branches (0.667 and 0.045), pod bearing length (1.153 and 0.394), number of pods per plant (0.661 and 0.463) and 100 seed weight (0.352 and 0.426) had the highest positive direct effect on grain yield both at genotypic and phenotypic level. For maximizing the grain yield per plant emphasis should be given in selection of such characters for further improvement in pigeonpea

Dynamics of Crossover from a Chaotic to a Power Law State in Jerky Flow

We study the dynamics of an intriguing crossover from a chaotic to a power law state as a function of strain rate within the context of a recently introduced model which reproduces the crossover. While the chaotic regime has a small set of positive Lyapunov exponents, interestingly, the scaling regime has a power law distribution of null exponents which also exhibits a power law. The slow manifold analysis of the model shows that while a large proportion of dislocations are pinned in the chaotic regime, most of them are pushed to the threshold of unpinning in the scaling regime, thus providing insight into the mechanism of crossover.Comment: 5 pages, 3 figures. In print in Phy. Rev. E Rapid Communication

Superconductivity in Ru substituted BaFe2-xRuxAs2

The occurrence of bulk superconductivity at ~22 K is reported in polycrystalline samples of BaFe2-xRuxAs2 for nominal Ru content in the range of x=0.75 to 1.125. A systematic suppression of the spin density wave transition temperature (TSDW) precedes the appearance of superconductivity in the system. A phase diagram is proposed based on the measured TSDW and superconducting transition temperature (TC) variations as a function of Ru composition. Band structure calculations, indicate introduction of electron carriers in the system upon Ru substitutiom. The calculated magnetic moment on Fe shows a minimum at x=1.0, suggesting that the suppression of the magnetic moment is associated with the emergence of superconductivity. Results of low temperature and high field Mossbauer measurements are presented. These indicate weakening of magnetic interaction with Ru substitutionComment: 20 pages 10 figure

Fast Subpixel Full Search Motion Estimation

Motion estimation is one of the most important part in video coding, where only the difference between the current and reference frames will be coded by the encoder.There are many advancements happening in motion estimation techniques. The proposed algorithm provides high precision matching and even reduces the errors during compensation. The algorithm also reduces the computation time when compared to traditional Block matching techniques. It mainly aims at the motion estimation with subpixelaccuracy without interpolation, it is the combination of Block matching and the optical flow method.Fast computation may be evaluated by experimental results while even motion vectors are more accurate reducing the PSNR