Browsing by Author "Priyanka Agarwal"

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Bandcrossing of magnetic rotation bands in Pr137
(2007) Priyanka Agarwal; Suresh Kumar; Sukhjeet Singh; Rishi Kumar Sinha; Anukul Dhal; S. Muralithar; R.P. Singh; N. Madhavan; Rakesh Kumar; R.K. Bhowmik; S.S. Malik; S.C. Pancholi; L. Chaturvedi; H.C. Jain; A.K. Jain
The odd mass nucleus Pr137 has been studied to high spins in order to investigate the magnetic rotation phenomenon in mass 130 region using the Sn122(F19,4n)Pr137 reaction at a beam energy of 80 MeV. A known ΔI=1 band has been extended to Jπ=47/2- with the addition of three new transitions. Directional Correlation of Oriented Nuclei (DCO) ratios and linear polarization measurements have been performed to assign the multipolarities of gamma transitions and the spins and parities of the energy levels in this band, now established as the M1 band. The combination of M1 transitions along with cross over E2 transitions have been observed in this band for the first time. The experimentally deduced B(M1)/B(E2) ratios show a decrease with increasing spin after band-crossing suggesting magnetic rotation. TAC calculations for the 3qp: πh11/2 ν(h11/2)-2 configuration reproduce the experimental observations in the lower spin part of the ΔI=1 band and the 5qp: πh11/2(g7/2)2 ν(h11/2)-2 configuration reproduces the ΔI=1 band at higher spins; the crossing of the bands based on the two configuration leads to a back-bending also. Theoretical calculations also support a magnetic rotation nature for both the configurations. © 2007 The American Physical Society.
Direct, indirect and residual effects through path analysis using the microsoft office excel
(DAV College, 2016) Neelam Chouksey; Priyanka Agarwal; Y. Satish; Rajesh Chouksey
Generally the contribution of causal variables to a targeted effect variable directly and indirectly through other variables has always been the layer that researchers seldom examine. Path analysis method may be a natural extension to regression analysis where researchers may be able to quantitatively examine the direct contributions to the effect variable and the indirect effects through other variable to the effect variable. There we try to use easy steps for calculating direct and indirect effect of path analysis. For this purpose we have used the secondary data of maize yield production area and minimum support price (msp) and annual rainfall for the Surguja district of Chhattisgarh. Taking yield as a dependent variable and annual rainfall msp area production and seed replacement rate as an independent variables. In this study to take decision support tool that helps researchers determine the contribution of each variable to the effect and each variable via other variables to that effect. In these study we used a step by step approach to doing path analysis using the Microsoft office Excel software a tool most common to PC's based on Microsoft windows operating systems and its users.
Pyramiding of genes for grain protein content, grain quality, and rust resistance in eleven Indian bread wheat cultivars: a multi-institutional effort
(Springer Science and Business Media B.V., 2022) Pushpendra K. Gupta; Harindra S. Balyan; Parveen Chhuneja; Jai P. Jaiswal; Shubhada Tamhankar; Vinod K. Mishra; Navtej S. Bains; Ramesh Chand; Arun K. Joshi; Satinder Kaur; Harinderjeet Kaur; Gurvinder S. Mavi; Manoj Oak; Achla Sharma; Puja Srivastava; Virinder S. Sohu; Pramod Prasad; Priyanka Agarwal; Moin Akhtar; Saurabh Badoni; Reeku Chaudhary; Vijay Gahlaut; Rishi Pal Gangwar; Tinku Gautam; Vandana Jaiswal; Ravi Shekhar Kumar; Sachin Kumar; M. Shamshad; Anupama Singh; Sandhya Taygi; Neeraj Kumar Vasistha; Manish Kumar Vishwakarma
Improvement of grain protein content (GPC), loaf volume, and resistance to rusts was achieved in 11 Indian wheat cultivars that are widely grown in four different agro-climatic zones of India. This involved use of marker-assisted backcross breeding (MABB) for introgression and pyramiding of the following genes: (i) the high GPC gene Gpc-B1; (ii) HMW glutenin subunits 5 + 10 at Glu-D1 loci, and (iii) rust resistance genes, Yr36, Yr15, Lr24, and Sr24. GPC increased by 0.8 to 3.3%, although high GPC was generally associated with yield penalty. Further selection among high GPC lines allowed identification of progenies with higher GPC associated with improvement in 1000-grain weight and grain yield in the backgrounds of the following four cultivars: NI5439, UP2338, UP2382, and HUW468. The high GPC progenies (derived from NI5439) were also improved for grain quality using HMW glutenin subunits 5 + 10 at Glu-D1 loci. Similarly, progenies combining high GPC and rust resistance were obtained in the backgrounds of following five cultivars: Lok1, HD2967, PBW550, PBW621, and DBW1. The improved pre-bred lines developed following multi-institutional effort should prove a valuable source for the development of cultivars with improved nutritional quality and rust resistance in the ongoing wheat breeding programmes. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.