Browsing by Author "C. Patel"

Now showing 1 - 3 of 3

Assessment of climate change impact on different pigeonpea maturity groups in north Indian condition
(Association of Agrometeorologists, 2021) M.K. Yadav; C. Patel; R.S. Singh; K.K. Singh; R. Balasubramanian; R.K. Mall; M.K. Singh; S.M. Singh; S.K. Yadav
The CROPGRO-pigeonpea model embedded in DSSAT v4.7.5 was used to assess the impact of climate change on phenology and grain yield of reference genotype of different pigeonpea maturity groups. The impact of climate change delayed reproductive stages (anthesis, maturity) and decreased grain yield of reference genotype of different pigeonpea maturity groups were evident in all scenarios. Short duration genotypes (MN5, ICPL88039, Prabhat, UPAS120) showed progressively higher decrease in yield as compared to medium (Maruti, Asha, ICP7035) and long (Bahar, MAL13) duration genotypes with each successive increase in scenatio from RCP2.6 to RCP8.5 and projected year from 2010 to 2095. Anthesis was delayed 9 days in MN5 to 20 days in Bahar and maturity delayed 15 days in MN5 to 24 days in Bahar with RCP 8.5 in year 2095 in comparison to RCP2.6 in years 2010, whereas, grain yield was decreased 14% in Bahar to 66% in MN5 among genotypes of different maturity groups. © 2021, Association of Agrometeorologists. All rights reserved.
Assessment of climate change impact on wheat crop using MarkSim GCM in Varanasi, Uttar Pradesh
(Association of Agrometeorologists, 2018) C. Patel; A.K. Nema; R.S. Singh; M.K. Yadav; K.K. Singh; S.K. Singh; P.K. Rai; S.M. Singh
GFLD-CM3 model was used to generate weather data under RCPs scenario i.e. RCP 2.6, 4.5, 6.0 and 8.5 for years 2010, 2035, 2065 and 2095 for Varanasi, Uttar Pradesh. The generated data were used to assess the impact of climate change on phenology and yield of wheat crop using CERES-Wheat model. The results revealed that the impact climate change hastened reproductive stages (anthesis, maturity) and decreased yield in all scenarios. The impact was highest under RCP 8.5. Days to antheis and days to maturity were proj ected to reduce by 22 days and 24 days, respectively in 2095 whereas, grain yield decreased by 61.0 per cent. © 2018, Association of Agrometeorologists. All rights reserved.
Cysteine-metal Porous Frameworks as Biosensing Elements for the Adsorption of Reactive Oxygen Species
(Wiley-Blackwell, 2018) N.R. Jena; C. Patel; Subash Ch. Sahoo; P.C. Mishra
The involvements of in vivo reactive oxygen species, such as superoxide radical (O2 .−), peroxynitrite (ONOO−), hydrogen peroxide (H2O2), hydroxyl radical (.OH), peroxyl radical (.OOH), nitrogen oxide radical (NO.), etc in cancer and other diseases are well documented. However, the availability of biosensing elements to detect the presence of reactive oxygen species inside living cells is rare. Herein, B3LYP−D3 dispersion-corrected density functional theory has been used to design different porous frameworks by coordinating several divalent transition metals, such as Mn+2, Fe+2, Co+2, Cu+2, and Zn+2 with cysteine (Cys) that can detect the presence of various reactive oxygen species. It is found that among all the metals, Cu+2 has the strongest interaction with Cys, thereby producing several stable porous frameworks. Among these frameworks, [Cys-Cu+2]3(8-1) is found to possess the largest pore and can adsorb both the anionic (O2 .−, ONOO.−) and neutral reactive oxygen species (.OH, .OOH, and NO.) in the aqueous environment. It is thus proposed that the elongation of [Cys-Cu+2]3(8-1) framework can generate a novel biosensing element, which can be used for the sensing of various reactive oxygen species. However, experimental verification of the proposed material is required to confirm its applicability. © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim