scholarly journals Modeling impacts of climate change on spring wheat in northern India

2021 ◽  
Vol 21 (2) ◽  
pp. 123-130
Author(s):  
SARITA KUMARI ◽  
S. BAIDYA ROY ◽  
P. SHARMA ◽  
A. SRIVASTAVA ◽  
V.K. SEHGAL ◽  
...  
Keyword(s):  
Climate Change ◽  
Spring Wheat ◽  
Numerical Experiments ◽  
Agricultural Research ◽  
Indian Agricultural Research Institute ◽  
Crop Growth ◽  
Policy Implications ◽  
Wheat Crop ◽  
Northern India ◽  
The Impact

This study attempts to quantitatively understand the impact of changes in meteorological drivers due to climate change on spring wheat in northern India using numerical experiments with the Simple and Universal CRop growth Simulator (SUCROS) model.The model was calibrated and evaluated for spring wheat cultivar HD2967 using observed crop and meteorological data from a field site at the Indian Agricultural Research Institute, New Delhi. Sensitivity studies were performed with the SUCROS model by incrementally changing the meteorological drivers to understand the underlying processes through which each meteorological driver affects spring wheat crop growth. The effect of climate change on spring wheat growth was estimated by conducting numerical experiments where the SUCROS model was driven with bias-corrected projections of future climate from six climate models for two scenarios for mid and end century. Results show that competitive/synergistic interactions between meteorological drivers lead to a slight increase in growth at the beginning of the growing season, and a strong decrease of about 50 per cent during the later stage. Apart from improving our understanding of crop growth processes, this study has also policy implications for agriculture and food security in the context of climate change.

Importance of long-term experiments in studying the effects of climate change

2010 ◽  
Vol 58 (Supplement 1) ◽  
pp. 83-88
Author(s):  
N. Harnos ◽  
É. Erdélyi ◽  
T. Árendás
Keyword(s):  
Climate Change ◽  
Field Experiments ◽  
Growth Models ◽  
Meteorological Data ◽  
Sowing Date ◽  
Crop Growth ◽  
Wheat Crop ◽  
Crop Growth Models ◽  
The Impact

Nowadays, studying the impact of climate change on agricultural crops is of great importance in national and international projects. Research on the effects of climate change on agricultural cultivars is supported by crop growth models. Simulations provide facilities for the low cost investigation of the effects of many factors, both independently of each other and in combination. These models require parameterisation and testing, which can be done using data measurements. In order to test the correctness of the simulations of meteorological and nutrient supply effects, it is necessary to use the results of long-term field experiments with many replicates.In the present study, the Ceres Wheat and AFRCWHEAT2 winter wheat crop growth models were tested, utilizing the data of a five-year sowing date experiment and the relevant meteorological data. An analysis was made of whether changes in the sowing date were able to influence or eliminate the negative effects of the changing climate. It was found that choosing the optimum sowing date could be the key to adapting to changing conditions.

scholarly journals Sensitivity of four wheat simulation models to climate change

1995 ◽  
Vol 75 (1) ◽  
pp. 69-74 ◽  
Author(s):  
A. Touré ◽  
D. J. Major ◽  
C. W. Lindwall
Keyword(s):  
Climate Change ◽  
Spring Wheat ◽  
General Circulation ◽  
Wheat Yield ◽  
Simulation Models ◽  
Climate Scenario ◽  
Wheat Crop ◽  
Continuous Rotation ◽  
The Impact ◽  
Low Precipitation

Crop simulation models may be valuable in anticipating crop production under a changed climate. We compared four computer simulation models of wheat, crop estimation through resources and environment synthesis (CERES), erosion productivity impact calculator (EPIC), Stewart and Sinclair, for evaluating the impact of climate change on dryland spring wheat yield for continuous rotation in southern Alberta. To a varying extent, the four models showed decreases in dryland spring wheat yields due to high temperature and low precipitation. All the models except Stewart had similar sensitivity to low precipitation; however, they showed differences to high-moisture conditions. Within the range considered, the Sinclair model was the most sensitive to temperature, followed by CERES and Stewart. Only EPIC indicated optimum temperature and precipitation levels, while CERES had the most pronounced precipitation optimum. Although the CERES, Stewart and Sinclair models have different phenology submodels, they predicted similar phenological response to a doubled CO2 climate scenario generated from the Canadian Climate Center General Circulation Model for Lethbridge, AB. Growing seasons shortened by 19 d were predicted using CERES and 18 d by using the Sinclair and Stewart models. The CERES, Stewart and Sinclair models were modified to include the effect of CO2 on radiation-use-efficiency. With current atmospheric CO2 concentration in the future climate scenario, the EPIC and Stewart models predicted significant (25%) and non-significant (3%) yield increases for dryland wheat and Sinclair and CERES predicted yield losses. Higher CO2 levels may compensate for the effect of global warming; doubling CO2 from present levels in a warmer climate scenario resulted in yield increase predictions at different amplitudes using EPIC, Stewart and CERES and a slight yield decrease with Sinclair. Key words: Sensitivity, climate change, dryland spring wheat

scholarly journals Achieving Sustainability in Food Systems: Addressing Changing Climate through Real Time Nitrogen and Weed Management in a Conservation Agriculture-Based Maize–Wheat System

2021 ◽  
Vol 13 (9) ◽  
pp. 5010
Author(s):  
Kapila Shekhawat ◽  
Vinod K. Singh ◽  
Sanjay Singh Rathore ◽  
Rishi Raj ◽  
T. K. Das
Keyword(s):  
Real Time ◽  
Weed Management ◽  
Agricultural Research ◽  
Indian Agricultural Research Institute ◽  
Interactive Effect ◽  
Maximum Yield ◽  
Conservation Agriculture ◽  
Wheat Crop ◽  
N Application ◽  
N Management

The proven significance of conservation agriculture (CA) in enhancing agronomic productivity and resource use efficiency across diverse agro-ecologies is often challenged by weed interference and nitrogen (N) immobilization. The collective effect of real-time N and weed management has been scarcely studied. To evaluate the appropriateness of sensor-based N management in conjunction with a broad-spectrum weed control strategy for the maize–wheat system, an experiment was conducted at ICAR—Indian Agricultural Research Institute—in New Delhi, India, during 2015–2016 and 2016–2017. Weed management in maize through Sesbania brown manure followed by post-emergence application of 2,4-D (BM + 2,4-D) in maize and tank-mix clodinafop-propargyl (60 g ha−1) and carfentrazone (20 g ha−1) (Clodi+carfentra) in wheat resulted in minimum weed infestation in both crops. It also resulted in highest maize (5.92 and 6.08 t ha−1) and wheat grain yields (4.91 and 5.4 t ha−1) during 2015–2016 and 2016–2017, respectively. Half of the N requirement, when applied as basal and the rest as guided by Optical crop sensor, resulted in saving 56 and 59 kg N ha−1 in the maize–wheat system, respectively, over 100% N application as farmers’ fertilizer practice during the two consecutive years. Interactive effect of N and weed management on economic yield of maize and wheat was also significant and maximum yield was obtained with 50% N application as basal + rest as per Optical crop sensor and weed management through BM+2,4-D in maize and Clodi+carfentra in wheat crop. The study concludes that real-time N management, complemented with appropriate weed management, improved growth, enhanced agronomic productivity and endorsed N saving under a CA-based maize–wheat system in Trans Indo-Gangetic Plains.

scholarly journals EFFECT OF CLIMATE CHANGE ON POTENTIAL EVAPOTRANSPIRATION IN THE UPPER BEAS BASIN OF THE WESTERN INDIAN HIMALAYA

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 51-57
Author(s):  
S. Rani ◽  
S. Sreekesh ◽  
P. Krishnan
Keyword(s):  
Climate Change ◽  
Agricultural Research ◽  
Potential Evapotranspiration ◽  
Swat Model ◽  
Indian Agricultural Research Institute ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Discharge Data ◽  
Indian Himalaya ◽  
Near Future

<p><strong>Abstract.</strong> Appraisal of potential evapotranspiration (PET) is needed for estimating the agricultural water requirement and understanding hydrological processes in an arena. Therefore, aim of the paper was to estimate the PET in the upper Beas basin, situated in the Western Indian Himalaya, under future climate change scenarios (by mid-21st century). Climate data (1969&amp;ndash;2010) of Manali, Bhuntar and Katrain were obtained from India Meteorological Department (IMD) and the Indian Agricultural Research Institute (IARI). Landsat data were used for mapping land use/land cover (LULC) conditions of the basin through decision tree technique. Elevation detail of the catchment area is derived from the Cartosat-1 digital elevation model (DEM). Simulations of PET were done by the Soil and Water Assessment Tool (SWAT) model. The model was calibrated using the average monthly discharge data from Thalout station. The study found fluctuations in PET under different climate change scenarios. It is likely to increase in near future owing to the rise in temperature. The higher water demand can be met from the excess snowmelt water reaching the lower basin area during the cropping seasons. This study will be helpful to understand water availability conditions in the upper Beas basin in the near future.</p>

scholarly journals Climate change and agroecosystems: the effect of elevated atmospheric CO2 and temperature on crop growth, development, and yield

2005 ◽  
Vol 35 (3) ◽  
pp. 730-740 ◽  
Author(s):  
Nereu Augusto Streck
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Co2 Concentration ◽  
Crop Growth ◽  
Atmospheric Co2 ◽  
C3 Plants ◽  
Elevated Atmospheric Co2 ◽  
Growth Development ◽  
Carbon Dioxide Co2 ◽  
The Impact

The amount of carbon dioxide (CO2) of the Earth´s atmosphere is increasing, which has the potential of increasing greenhouse effect and air temperature in the future. Plants respond to environment CO2 and temperature. Therefore, climate change may affect agriculture. The purpose of this paper was to review the literature about the impact of a possible increase in atmospheric CO2 concentration and temperature on crop growth, development, and yield. Increasing CO2 concentration increases crop yield once the substrate for photosynthesis and the gradient of CO2 concentration between atmosphere and leaf increase. C3 plants will benefit more than C4 plants at elevated CO2. However, if global warming will take place, an increase in temperature may offset the benefits of increasing CO2 on crop yield.

Climate Change, Economic Growth and Growth Determinants: Insights From Vietnam’s Coastal South Central Region

2020 ◽  
pp. 002190962094034
Author(s):  
Hong Hiep Hoang ◽  
Cong Minh Huynh
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Growth Model ◽  
Central Region ◽  
Negative Impact ◽  
Generalized Least Squares ◽  
Policy Implications ◽  
Impact Of Climate Change ◽  
South Central ◽  
The Impact

Using the Feasible Generalized Least Squares econometric method, the paper analyzes the impact of climate change on economic growth in Vietnam’s coastal South Central region over the period of 2006–2015. The results indicate that, after controlling for the main determinants in the growth model, the climate change with various proxies has a significantly negative impact on provinces’ economic growth in the region. In particular, local institutions not only increase economic growth, but also reduce the negative impact of climate change on economic growth as well. These results suggest some policy implications aimed at boosting the process of transforming the economic growth model for the coastal region adapting to climate change. JEL codes: F21, F23, E22

scholarly journals Comparative Assessment of Climate Change Mitigation Policies in Fuel Combustion Sector of Lithuania and Bulgaria

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 529
Author(s):  
Asta Mikalauskiene ◽  
Justas Štreimikis ◽  
Ignas Mikalauskas ◽  
Gintarė Stankūnienė ◽  
Rimantas Dapkus
Keyword(s):  
Climate Change ◽  
Emission Reduction ◽  
Climate Change Mitigation ◽  
Fuel Combustion ◽  
Comparative Assessment ◽  
Policy Implications ◽  
Ghg Emission ◽  
The Impact ◽  
Change Mitigation ◽  
Mitigation Policies

The paper performed comparative assessment of greenhouse gas (GHG) emission trends and climate change mitigation policies in the fuel combustion sector of selected EU member states with similar economic development levels and historical pasts, and implementing main EU energy and climate change mitigation policies, having achieved different success in GHG emission reduction. The impact of climate change mitigation policies on GHG emission reduction was assessed based on analysis of countries’ reports to UNFCCC by identifying the key areas of GHG emission reduction, their GHG emission reduction potential, and the driving forces behind them. The study revealed that climate change mitigation policies that have been implemented so far in Bulgaria are less efficient than in Lithuania, as Bulgaria places priorities not on energy efficiency improvement and penetration of renewable energy sources, but on switching from coal to natural gas. The policy implications for strengthening GHG emissions reduction efforts are provided based on analysis conducted.

scholarly journals Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected districts of Punjab Province, Pakistan (2001-14)

2017 ◽  
Vol 12 (3) ◽  
Author(s):  
Rafia Mumtaz ◽  
Shahbaz Baig ◽  
Iram Fatima
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Crop Yield ◽  
Vegetation Index ◽  
Wheat Yield ◽  
Least Square ◽  
Wheat Crop ◽  
Main Challenge ◽  
Normalised Difference Vegetation Index ◽  
The Impact

Land management for crop production is an essential human activity that supports life on Earth. The main challenge to be faced by the agriculture sector in coming years is to feed the rapidly growing population while maintaining the key resources such as soil fertility, efficient land use, and water. Climate change is also a critical factor that impacts agricultural production. Among others, a major effect of climate change is the potential alterations in the growth cycle of crops which would likely lead to a decline in the agricultural output. Due to the increasing demand for proper agricultural management, this study explores the effects of meteorological variation on wheat yield in Chakwal and Faisalabad districts of Punjab, Pakistan and used normalised difference vegetation index (NDVI) as a predictor for yield estimates. For NDVI data (2001-14), the NDVI product of Moderate Resolution Imaging spectrometer (MODIS) 16-day composites data has been used. The crop area mapping has been realised by classifying the satellite data into different land use/land covers using iterative self-organising (ISO) data clustering. The land cover for the wheat crop was mapped using a crop calendar. The relation of crop yield with NDVI and the impact of meteorological parameters on wheat growth and its yield has been analysed at various development stages. A strong correlation of rainfall and temperature was found with NDVI data, which determined NDVI as a strong predictor of yield estimation. The wheat yield estimates were obtained by linearly regressing the reported crop yield against the time series of MODIS NDVI profiles. The wheat NDVI profiles have shown a parabolic pattern across the growing season, therefore parabolic least square fit (LSF) has been applied prior to linear regression. The coefficients of determination (<em>R</em><sup>2</sup>) between the reported and estimated yield was found to be 0.88 and 0.73, respectively, for Chakwal and Faisalabad. This indicates that the method is capable of providing yield estimates with competitive accuracies prior to crop harvest, which can significantly aid the policy guidance and contributes to better and timely decisions.

Systematic mixed stands of spring wheat cultivars

1980 ◽  
Vol 94 (3) ◽  
pp. 529-532 ◽  
Author(s):  
R. Prasad ◽  
S. N. Sharma
Keyword(s):  
Spring Wheat ◽  
Agricultural Research ◽  
Indian Agricultural Research Institute ◽  
High Rate ◽  
New Delhi ◽  
Pure Stand ◽  
Wheat Cultivars ◽  
Nitrogen Application ◽  
Agricultural Research Institute ◽  
Mixed Stands

SummaryHeight variability in spring wheat (Triticum aestivum L.) cultivars permits growing them in systematic mixed stands and such mixtures are reported to lead to better utilization of solar radiation. Studies on such wheat mixtures are limited. A field experiment was therefore conducted for two wheat seasons (1974–5 and 1975–6) at the Indian Agricultural Research Institute, New Delhi, to compare the yield potentials of the mixed and pure stands of three spring wheat cultivars varying in plant height. Two kinds of canopy stands, namely, pyramidal and columnar, were created by making appropriate row arrangements of the cultivars while seeding. Mixed stands gave significantly higher straw yields and the grain yield was also significantly higher than the highest yielding cultivar in its pure stand at a high rate of nitrogen application (120 kg N/ha).

scholarly journals Influence of Krishi Vigyan Kendras and Socio-Economic Characteristics towards Adoption of Climate-Resilient Technologies

2021 ◽  
pp. 38-43
Author(s):  
Peddi Naga Harsha Vardhan ◽  
Prabhat Kumar Pal ◽  
Deepa Roy
Keyword(s):  
Climate Change ◽  
Agricultural Research ◽  
Research Work ◽  
Household Head ◽  
Control Area ◽  
The Family ◽  
Conservation Technology ◽  
Socio Economic Variables ◽  
The Impact

Indian economy is mostly dependent on agriculture but climate change is the most threatening phenomena and addressing it as the biggest challenge now a days. ‘In order to reduce the climate change adversities, Indian Council of Agricultural Research (ICAR) with the help of different Krishi vigyan Kendra (KVKs) operated a project called “National Innovations on Climate Resilient Agriculture”. To know the impact of the project a study was conducted in KVKs (i.e., NICRA, KVKs) of two districts of North Bengal i.e., Cooch Behar and Malda. One adopted village and one non adopted village adjacent to adopted village (as control area) were selected for study from each KVK-area.  From each village 30 respondents were selected randomly i.e., 60 respondents from adopted village and 60 respondents from non-adopted village. A total of 120 respondents were taken for the research work. The result from this study shows that in the level of awareness, adoption of water-saving technology, in-situ moisture conservation technology, water harvesting, recycling technology and other climate-resilient technologies the mean awareness and adoption score is more in the adopted village than in the non adopted village. The education of household head, total land holding, outside contact score, total yearly income of the family, extent of participation, exposure to interpersonal media, household power access status, level of awareness on climate resilient technology and extent of association with KVK are positively and significantly associated with adoption score. It is also found that in non-adopted villages the socio-economic variables are influencing more towards adoption of climate-resilient technology, whereas, in adopted villages it is due to the association with KVK.

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