scholarly journals Impact of climate change on agriculture in eastern Uttar Pradesh and Bihar states (India)

MAUSAM ◽  
2021 ◽  
Vol 62 (2) ◽  
pp. 171-178
Author(s):  
ARVIND KUMAR ◽  
PADMAKAR TRIPATHI ◽  
K.K. SINGH ◽  
A.N. MISHRA
Keyword(s):  
Crop Yield ◽  
Wheat Yield ◽  
Uttar Pradesh ◽  
Maximum Temperature ◽  
Future Scenario ◽  
South West ◽  
Seasonal Basis ◽  
Eastern Uttar Pradesh ◽  
Bihar State

Production of crops is greatly influenced by weather phenomena and therefore any change in climate will have major effects on crop yield and productivity. Using NYD analysis for prediction of crop yield on seasonal basis, it has been observed that maximum temperature may cause the reduction in yield of rice in Eastern Uttar Pradesh by 1.0 to 1.1% per ha by 2020. Similarly, minimum temperature may decrease the yield of rice by 1.5 to 1.9% per ha in Eastern Uttar Pradesh. From future scenario of rainfall it was observed that south-west monsoonal rainfall would be the major factor for controlling the yield of rice. The role of maximum temperature for wheat production in Bihar state is more significant as compared to Eastern Uttar Pradesh. The model predicts that wheat yield may decrease by 5-6% in Bihar state due to increase in maximum temperature by the end of 2080 whereas this decrement in Eastern Uttar Pradesh may be 1.5-2.0%.

Communal Mobilization and Riots in Eastern Uttar Pradesh

2018 ◽  
pp. 132-177
Author(s):  
Sudha Pai ◽  
Sajjan Kumar
Keyword(s):  
Cultural Practices ◽  
Uttar Pradesh ◽  
Muslim Community ◽  
Political Consciousness ◽  
Cultural Form ◽  
Economic Distress ◽  
Rich Description ◽  
Eastern Uttar Pradesh ◽  
Communal Riots

Chapter 3 based on fieldwork in Mau and Gorakhpur provides a rich description of everyday communalism and communal riots in 2005 and 2007, respectively. In Mau, incidents of everyday communalism have a distinct socio-cultural form visible in the confrontation around the Bharat-Milap ceremony. But, fieldwork revealed that the reasons lie in underlying tensions from the desire to protect religio-cultural practices, economic distress due to decline of the weaving industry, heightened political consciousness, and the role of the mafia within the Hindu and Muslim community, which the BJP has been able to exploit and engineer the 2005 riots. In Gorakhpur, communalism has a more distinctly political colour, the result of sustained religion-based mobilization by Yogi Adityanath and his HYV responsible for creating communal polarization, tension, and incidents culminating in the 2007 riots. In both towns a characteristic is mobilization to saffronize the Dalits taking them away from the BSP.

Characterization of Gangatiri cattle breed inGangatic plains of Eastern Uttar Pradesh

2016 ◽  
Author(s):  
Basant Kumar Bhinchhar ◽  
Vinod Kumar Paswan ◽  
SPACE Saroj ◽  
Satya Prakash Yadav ◽  
Prity Singh
Keyword(s):  
Research Work ◽  
Uttar Pradesh ◽  
Cattle Breed ◽  
The Other ◽  
Indigenous Cattle ◽  
Dual Purpose ◽  
Characteristic Features ◽  
Eastern Uttar Pradesh ◽  
Bihar State

The present research work for characterization of Gangatiri cattle was conducted on a herd maintained at Mirzapur district of Uttar Pardesh. This dual-purpose indigenous cattle breed is found mainly in Varanasi, Chandauli, Ghazipur and Ballia distric of eastern Utter Pradesh and adjacent areas of Bihar state of India., Medium sized dewlap, small brisket, sharp and smooth shoulder with medium legs was present in most of the animals. Medium sized bowl shaped udder with cylindrical shaped medium sized teats and prominent, crooked and branched milk veins were the other characteristic features of the herd. The overall least squares’ means for Ischium width of Rump (ISWR), Top line (TPL), Udder length (UL), Udder diameter (UD), Teat length (TtL), Udder circumference (UC), Distance between fore to fore (DFF) and rear to rear teats (DRR) were 20.79±0.57, 144.64±1.67, 26.17±1.21, 11.03±1.40, 5.33±0.31, 68.84±3.89, 6.03±0.50 and 4.93±0.21 cm, respectively.

scholarly journals Role of Hematological Indices as a Screening Tool of Beta Thalassemia Trait in Eastern Uttar Pradesh: An Institutional Study

2020 ◽  
Vol 36 (4) ◽  
pp. 719-724 ◽  
Author(s):  
Mudita Bhargava ◽  
Varsha Kumar ◽  
Himansha Pandey ◽  
Vasudha Singh ◽  
Vatsala Misra ◽  
...  
Keyword(s):  
Screening Tool ◽  
Uttar Pradesh ◽  
Beta Thalassemia ◽  
Hematological Indices ◽  
Thalassemia Trait ◽  
Eastern Uttar Pradesh

Climate change impacts on winter wheat yield change – which climatic parameters are crucial in Pannonian lowland?

2012 ◽  
Vol 151 (6) ◽  
pp. 757-774 ◽  
Author(s):  
B. LALIC ◽  
J. EITZINGER ◽  
D. T. MIHAILOVIC ◽  
S. THALER ◽  
M. JANCIC
Keyword(s):  
Climate Change ◽  
Winter Wheat ◽  
Water Deficit ◽  
Crop Yield ◽  
Wheat Yield ◽  
Maximum Temperature ◽  
Climatic Parameters ◽  
Yield Change ◽  
The Future ◽  
Winter Wheat Yield

SUMMARYOne of the main problems in estimating the effects of climate change on crops is the identification of those factors limiting crop growth in a selected environment. Previous studies have indicated that considering simple trends of either precipitation or temperature for the coming decades is insufficient for estimating the climate impact on yield in the future. One reason for this insufficiency is that changes in weather extremes or seasonal weather patterns may have marked impacts.The present study focuses on identifying agroclimatic parameters that can identify the effects of climate change and variability on winter wheat yield change in the Pannonian lowland. The impacts of soil type under past and future climates as well as the effect of different CO2 concentrations on yield formation are also considered. The Vojvodina region was chosen for this case study because it is a representative part of the Pannonian lowland.Projections of the future climate were taken from the HadCM3, ECHAM5 and NCAR-PCM climate models with the SRES-A2 scenario for greenhouse gas (GHG) emissions for the 2040 and 2080 integration periods. To calibrate and validate the Met&Roll weather generator, four-variable weather data series (for six main climatic stations in the Vojvodina region) were analysed. The grain yield of winter wheat was calculated using the SIRIUS wheat model for three different CO2 concentrations (330, 550 and 1050 ppm) dependent on the integration period. To estimate the effects of climatic parameters on crop yield, the correlation coefficient between crop yield and agroclimatic indices was calculated using the AGRICLIM software. The present study shows that for all soil types, the following indices are the most important for winter wheat yields in this region: (i) the number of days with water and temperature stress, (ii) the accumulated precipitation, (iii) the actual evapotranspiration (ETa) and (iv) the water deficit during the growing season. The high positive correlations between yield and the ETa, accumulated precipitation and the ratio between the ETa and reference evapotranspiration (ETr) for the April–June period indicate that water is and will remain a major limiting factor for growing winter wheat in this region. Indices referring to negative impact on yield are (i) the number of days with a water deficit for the April–June period and (ii) the number of days with maximum temperature above 25 °C (summer days) and the number of days with maximum temperature above 30 °C (tropical days) in May and June. These indices can be seen as indicators of extreme weather events such as drought and heat waves.

scholarly journals Role of antenatal care in reducing incidence of eclampsia in eastern Uttar Pradesh, India

2019 ◽  
Vol 8 (5) ◽  
pp. 1884
Author(s):  
Babita Kapoor ◽  
Namrata Verma ◽  
Reena Shrivastava
Keyword(s):  
Health Care ◽  
Antenatal Care ◽  
Health Centre ◽  
Uttar Pradesh ◽  
Sudden Onset ◽  
Medical College ◽  
Substandard Care ◽  
Clonic Convulsions ◽  
Eastern Uttar Pradesh

Background: Eclampsia is characterized by sudden onset of generalized tonic-clonic convulsions or coma in pregnancy or postpartum. It is a major cause of maternal and perinatal morbidity and mortality in developing countries. This study was conducted to determine the incidence of eclampsia and role of antenatal care in reducing the incidence.Methods: This was a prospective study (July 2015-June 2016) conducted in labour room of department of obstetrics and Gynecology, BRD Medical college, Gorakhpur, Uttar Pradesh, India. A total no. of 141 women presenting with eclampsia were included in the study. Risk factors like antenatal care and sociodemographic status were studied for their role in increased incidence of eclampsia.Results: There were 141 eclampsia cases out of 3536 deliveries, during the study period. The incidence of eclampsia was found to be 4%. Out of 141 eclampsia cases 35.5% did not receive any antenatal care. 56.7% received substandard care in less than 4 antenatal visits. Out of those who received antenatal care (91/141), 67% received irregular, substandard care in primary health centre of their locality. Majority of eclampsia cases were between 16-25 years of age (85.1%) and were primigravida (62.4%). Majority of eclampsia cases were uneducated (89.4%), of lower socioeconomic status (71.4%) and belonged to rural area (67.4%).Conclusions: High incidence of eclampsia in B.R.D. Medical College reflects the status of eclampsia in eastern Uttar Pradesh, India. To prevent eclampsia our health care centres should be strengthened by well trained medical officers, other health care workers and adequate antenatal care facilities.

Use of CERES-Wheat model for wheat yield forecast in central Indo-Gangetic Plains of India

2004 ◽  
Vol 142 (1) ◽  
pp. 59-70 ◽  
Author(s):  
A. S. NAIN ◽  
V. K. DADHWAL ◽  
T. P. SINGH
Keyword(s):  
Simulation Model ◽  
Wheat Yield ◽  
Uttar Pradesh ◽  
Weather Data ◽  
Large Area ◽  
Data Set ◽  
Yield Forecast ◽  
Final Yield ◽  
Eastern Uttar Pradesh ◽  
Technology Trend

A methodology was developed for large area yield forecast using a crop simulation model and a discrete technology trend, and was applied to the coherent wheat yield variability zones of Eastern Uttar Pradesh, India. The approach consisted of three major steps: (a) prediction of technology trend yield using historical yield series of the region; (b) prediction of weather-induced deviation in wheat yield using CERES-Wheat simulation model and relating weather-induced deviation in simulated yield to deviation in observed yield deviations from technology trend; and (c) final yield forecast by incorporating predicted yield deviation in trend predicted yield. The regression coefficients for step (b) were generated using 10 years' data (1984/85–1994/95) and the reliability of the approach was tested on a data set of 5 years' independent data (1995/96–1999/2000). The results showed that this approach could capture year-to-year variability in large area wheat yield with reasonable accuracy. The Root Mean Square Error (RMSE) between observed and predicted yield was reported as 0·098 t/ha for the mean yield of 2·072 t/ha (4·72%). However, the RMSE was slightly higher in the forecasting period in comparison to the calibration period. The use of this methodology for issuing the pre-harvest forecast and the effect of upgrading the technology trend were also studied. The pre-harvest forecasts were made using in-season weather data up to the end of February and climatic-normal for the rest of the wheat-growing season, which showed good agreement with observed wheat yields. The forecasts of wheat yield for the season 1999/2000 were made using the technology trend up to 1994/95 and the updated technology trend up to 1998/99, which showed that the RMSE fell in the latter case, from 4·10 to 2·50%.

scholarly journals Impact of climate variability on human health: A pilot study in tertiary care hospital of Eastern Uttar Pradesh, India

MAUSAM ◽  
2021 ◽  
Vol 68 (3) ◽  
pp. 429-438
Author(s):  
R. K. MALL ◽  
NIDHI SINGH ◽  
R. PRASAD ◽  
A. TOMPKINS ◽  
AKHILESH GUPTA
Keyword(s):  
Relative Humidity ◽  
Tertiary Care ◽  
Regional Scale ◽  
Uttar Pradesh ◽  
Maximum Temperature ◽  
Care Hospital ◽  
Climate Variables ◽  
Chronic Obstructive Pulmonary Disorder ◽  
Monthly Temperature ◽  
Eastern Uttar Pradesh

This study is an attempt to find out the effect of climate variables on respiratory, cardiovascular, vector-borne and diarrheal diseases from 2004-2013 carried out at Sir Sunder Lal hospital, Varanasi, Uttar Pradesh with focus on eastern Uttar Pradesh. The study shows that cases of Chronic Obstructive Pulmonary Disorder (COPD) and Cardiovascular Disorders (CVD) didn’t show any significant relation with any of the climate variables. With increase of 1 C mean maximum monthly temperature the estimated decrease in number of Tuberculosis (TB) patients was 4 (95% CI = 4.95-3.05) while a 1C increase in minimum monthly temperature showed increase of TB patients by 4 (95% CI = 4.95-3.05). One percent increase of monthly averaged relative humidity is estimated to increase the one pneumonia patients (95% CI = 1.95-0.05) at any given month. One-degree increase in given monthly temperature will increase the load of one diarrhea patients (95% CI = 1.95-0.05) monthly.  Dengue and Malaria patients showed increasing monthly malaria cases by 5 (95% CI = 5.95-4.05) with 1C rise in minimum monthly temperature and by 1 patient (95% CI = 1.95-0.05) with increase in 1% relative humidity. Encephalitis showed an increase of one patient load (95% CI = 1.95-0.05) with monthly increase of 1C in maximum temperature. The study shows advance knowledge of health information, on timescales of seasons to decades ahead, would aid effective planning of health response measures and infrastructure at local and regional scale.  

scholarly journals Different approaches on pre harvest forecasting of wheat yield

2015 ◽  
Vol 7 (2) ◽  
pp. 839-843
Author(s):  
Y. A. Garde ◽  
B. S. Dhekale ◽  
S. Singh
Keyword(s):  
Crop Yield ◽  
Crop Production ◽  
Function Analysis ◽  
Wheat Yield ◽  
National Income ◽  
Uttar Pradesh ◽  
Forecast Model ◽  
Wheat Crop ◽  
Yield Forecast ◽  
Rabi Crops

Agriculture is backbone of Indian economy, contributing about 40 per cent towards the Gross National Product and provide livelihood to about 70 per cent of the population. According to the national income published in Economic survey 2014-15, by the CSO, the share of agriculture in total GDP is 18 percent in 2013-14. The Rabi crops data released by the Directorate of Economics and Statistics recently indicates that the total area coverage has declined; area under wheat has gone down by 2.9 per cent. Therefore needs to be do research to study weathersituation and effect on crop production. Pre harvest forecasting is true essence, is a branch of anticipatory sciences used for identifying and foretelling alternative feasible future. Crop yield forecast provided useful information to farmers, marketers, government agencies and other agencies. In this paper Multiple Linear Regression (MLR) Technique and discriminant function analysis were derived for estimating wheat productivity for the district of Varanasi in eastern Uttar Pradesh. The value of Adj. R2 varied from 0.63 to 0.94 in different models. It is observed that high value of Adj. R2 in the Model-2 which indicated that it is appropriate forecast model than other models, also the value of RMSE varied from minimum 1.17 to maximum 2.47. The study revealed that MLR techniques with incorporating technical and statistical indicators (Model 2) was found to be better for forecasting of wheat crop yield on the basis of both Adjusted R2 and RMSE values.

Sign in / Sign up

Export Citation Format

Share Document