Zobrazeno 1 - 10
of 314
pro vyhledávání: '"V Srinivasa Rao"'
Autor:
M. Prashanth, V. Srinivasa Rao
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 10, Iss , Pp 100674- (2024)
This paper focuses on the effects of DuFour, heat radiation, and chemical reaction on a two-dimensional natural convective flow of stable electrical magnetohydrodynamics (MHD) nanofluid across a permeable stretched sheet, in addition to the effects o
Externí odkaz:
https://doaj.org/article/17869af7afd24c84a75a6e2e4ba8e897
Autor:
Dharmendar Reddy Yanala, M. Anil Kumar, Shankar Goud Bejawada, Kottakkaran Sooppy Nisar, R. Srinivasa Raju, V. Srinivasa Rao
Publikováno v:
Case Studies in Thermal Engineering, Vol 51, Iss , Pp 103527- (2023)
The goal of this study is to determine the effect of chemical reaction, radiation, and Prandtl number on 3-D MHD Heat transfer Casson fluid flow through a linearly porous stretched surface. When studying the effects of thermal radiation, the Roseland
Externí odkaz:
https://doaj.org/article/a8fe70c273124e198dcc7b90294fd69e
Publikováno v:
Electronic Journal of Plant Breeding, Vol 14, Iss 1, Pp 272-278 (2023)
Expression of complex traits like yield is the result of interaction of several yield contributing features. In the current research, association analysis and path analysis were conducted in an experiment involving 65 peanut genotypes to determine
Externí odkaz:
https://doaj.org/article/0595e6e6b7d14aeea19be6d00efad284
Publikováno v:
Electronic Journal of Plant Breeding, Vol 14, Iss 1, Pp 354-359 (2023)
The genetic divergence among 105 finger millet genotypes was estimated using Mahalanobis’ generalized distance using D2 statistics. All the genotypes were grouped into fourteen clusters using Tocher’s method. Cluster I was the largest comprisin
Externí odkaz:
https://doaj.org/article/d4d12e6198794337bfe26f0e2f5b84d0
Publikováno v:
Electronic Journal of Plant Breeding, Vol 14, Iss 2, Pp 717 -723 (2023)
Genetic diversity analysis was carried out with 50 black gram genotypes by using Mahalanobis D2 statistics for ten quantitative traits. All the genotypes were grouped into ten non-overlapping clusters. Cluster I was the largest with 19 genotypes, f
Externí odkaz:
https://doaj.org/article/34d9ef37f0b2464999d63e5de1b8d79d
Publikováno v:
Case Studies in Thermal Engineering, Vol 24, Iss , Pp 100826- (2021)
A numerical model is employed for the nanofluid flow and heat transfer from an infinite vertical plate in the existence of a magnetic field, thermal radiation and viscous dissipation. The solution of the basic governing equations was obtained by the
Externí odkaz:
https://doaj.org/article/3fe99b1d5b004613a638000808cd6f8f
Publikováno v:
International Journal of Thermofluids, Vol 9, Iss , Pp 100061- (2021)
This article concentrates on the impact of Hall current, Radiation, Soret, and Dufour on an unsteady MHD Natural convective flow over an infinite vertical plate fixed in a porous media. The entire system is supposed to revolve with an unvarying angul
Externí odkaz:
https://doaj.org/article/f2cb4a95d8254a76b8720aacd1987588
Autor:
D. Sai Gangadhara Rao, Ch. Murali Krishna, H. V. Hema Kumar, B. Sarojini Devi, L. Edukondalu, V. Srinivasa Rao
Publikováno v:
International Journal of Plant & Soil Science. 35:1-14
The mean water releases at head section of 11 years of Nagarjuna Sagar Jawahar right main Canal, Andhra Pradesh, India is found to be 128.13 TMC (3,627.71 MCM). The mean surface water availability was estimated as 2,229 MCM. For the efficient utiliza
Publikováno v:
Ecology, Environment and Conservation. 29:S262-S271
Groundwater Modeling is the best tool to optimize the different combinations and to select the best combination for sustainable groundwater management. Using computer models, best solution or scenario can optimize by creating model with real conditio
Publikováno v:
Ecology, Environment and Conservation. 29:391-397
Groundwater models can be used for the assessment of the impact of the different cropping pattern andchange in urban area on groundwater resource and modeling is the best tool to optimize the differentcombinations or scenarios and to select the best