scholarly journals Development of Regional Crop Simulation Modeling for Jasmine under the Purview of Climate Change: A Perspective from Tamil Nadu, India

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Dhanya Praveen
Keyword(s):  
Climate Change ◽  
Simulation Modeling ◽  
Tamil Nadu ◽  
Crop Simulation ◽  
Crop Simulation Modeling

scholarly journals Creating long-term weather data from thin air for crop simulation modeling

2015 ◽  
Vol 209-210 ◽  
pp. 49-58 ◽  
Author(s):  
Justin Van Wart ◽  
Patricio Grassini ◽  
Haishun Yang ◽  
Lieven Claessens ◽  
Andrew Jarvis ◽  
...  
Keyword(s):  
Simulation Modeling ◽  
Weather Data ◽  
Crop Simulation ◽  
Crop Simulation Modeling

Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment

2022 ◽  
Vol 183 ◽  
pp. 34-53
Author(s):  
Varaprasad Bandaru ◽  
Raghu Yaramasu ◽  
Curtis Jones ◽  
R. César Izaurralde ◽  
Ashwan Reddy ◽  
...  
Keyword(s):  
Water Use ◽  
Crop Yield ◽  
Simulation Modeling ◽  
Regional Scale ◽  
Modeling Framework ◽  
Crop Simulation ◽  
Crop Simulation Modeling

scholarly journals A glimpse on post-graduate thesis researches of Agronomy Department of IAAS and prioritized future research directions

2018 ◽  
Vol 1 (1) ◽  
pp. 90-113
Author(s):  
Lal Prasad Amgain ◽  
Sudeep Marasini ◽  
Buddha BK
Keyword(s):  
Simulation Modeling ◽  
Nutrient Management ◽  
Soil Nutrient ◽  
Variety Identification ◽  
Future Research ◽  
Research Station ◽  
Post Graduate ◽  
Crop Simulation ◽  
Crop Simulation Modeling ◽  
On Farm

To appraise the major research outputs of agronomic crops and cropping systems and to direct the future research priorities of Agronomy Department of post-graduate (PG) program of Institute of Agriculture and Animal Sciences (IAAS), a rigorous review was accomplished on about two decadal (2000-2018) student’s thesis research works. The review revealed that the agronomic researches at IAAS from 2000 to 2012 were concentrated mostly in on-station farm of Rampur, Chitwan and found their focus on 11 food grain crops with five major themes viz. varietal evaluation, crop management, soil nutrient and weeds management, and crop simulation modeling. With the shifting of IAAS PG program from Rampur to Kirtipur in 2013, the major agronomic researches were found to be concentrated in on-farm stations due to transitional movement of IAAS to Agriculture and Forestry University, Nepal. A total of 115 agronomic studies were conducted on various crops, of which 92 were on cereals, 8 on legumes, oilseed and minor cereals including potato. There were records of 10 studies on rice-wheat and 3 studies on maize-based systems. The huge gaps between the potential and farmers' field yield and between the potential and research station yields for rice, maize and wheat crops suggested a great scope to raise yields of cereals by improved agronomical researches on varieties evaluation, crop and nutrient management and weed management. Simulation modeling study predicted that the varieties of rice and maize adopted at present could sustain the yields only for recent few years and needed for introduction of new climate resilient varieties, then after. Innovative and new researches on eco-region suited on-farm trails with variety identification, improved crop husbandry and soil nutrient management, improved weed and water management and on agro-meteorology, conservation agriculture, climate change adaptation and crop simulation modeling are advised as future research frontiers to uplift the productivity and reduce yield gaps of major food crops and to strengthen the academics of post-graduate research in near future.

scholarly journals Performance of rainfed chilli crop in Tamil Nadu under climate change in RCP4.5

2021 ◽  
Vol 23 (3) ◽  
pp. 324-329
Author(s):  
N. KOWSHIKA ◽  
S. PANNEERSELVAM ◽  
V. GEETHALAKSHMI ◽  
T. ARUMUGAM ◽  
R. JAGADEESWARAN
Keyword(s):  
Climate Change ◽  
21St Century ◽  
Tamil Nadu ◽  
Climate Data ◽  
Future Projection ◽  
Crop Simulation ◽  
Rainfed Conditions ◽  
Indian Diet ◽  
The Impact ◽  
Agroclimatic Zones

Dry chilli, which stands third in production from the spice industry, has influenced the Indian diet to a greater extent . The impact of climate change conditions on chilli crop could, in turn, impart the economy deeply. Hence, the future projection of dry chilli production will surely enrich knowledge about crop performance. Climate data from CCSM4 being downscaled from RegCM 4.4 was used in yield projection till the end of 21st century through DSSAT crop simulation for two major cultivars of chilli in Tamilnadu viz., TNAU chilli hybrid CO1 and K1 variety under rainfed conditions. TNAU chilli hybrid CO1 and K1 varieties have shown negative yield deviations for all the agroclimatic zones of Tamilnadu under variable time scales. However, southern zone was exclusive in exhibting positive yield by 7 percent and 5 percent, respectively, during the end of century.

Impact of Future Climate Change on Growth and Productivity of Rice Crop in Tamil Nadu

2007 ◽  
Vol 1 (3) ◽  
pp. 119-124 ◽  
Author(s):  
O. Srivani ◽  
V. Geethalaks ◽  
R. Jagannatha ◽  
K. Bhuvaneswa ◽  
L. Guruswamy
Keyword(s):  
Climate Change ◽  
Tamil Nadu ◽  
Future Climate ◽  
Rice Crop ◽  
Future Climate Change

scholarly journals Water resilience mapping of Chennai, India using analytical hierarchy process

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
R. Kaaviya ◽  
V. Devadas
Keyword(s):  
Climate Change ◽  
Analytical Hierarchy Process ◽  
Tamil Nadu ◽  
Water Resource Management ◽  
Global Climate ◽  
Decision Matrix ◽  
Analysis Technique ◽  
Study Results ◽  
Chennai City ◽  
Hierarchy Process

Abstract Background The urban water system is the worst hit in global climate change. Water resilience is the system’s ability to retaliate and recover from various water-related disruptions. The present study aims to delineate the water resilience zones in Chennai city, Tamil Nadu, India, by effectively integrating the geographic information system, remote sensing, and analytical hierarchy process (AHP). Methods The methodology incorporated 15 vital factors. A multi-criteria decision analysis technique was adopted to assign a weight to each parameter using the AHP. A pairwise decision matrix was constructed, parameter’s relative importance and the consistency ratio were established. Integration of all maps by weighted overlay analysis technique depicted water resilience intensities of five different classes. Results Very low, low and moderate water resilience areas accounted for more than three-fourth of the study area. Area Under Curve score (80.12%) depicted the accuracy of the developed model. Sensitivity analysis determined the significance of the parameters in the delineation. The logical structural approach can be employed in other parts of India or elsewhere with modifications. Conclusion This study is novel in its approach by holistically analyzing water resilience by integrating disruptions related to flood, drought and the city's water infrastructure system's adequacy and efficiency. Researchers and planners can effectively use the study results to ensure resilience as a new perspective on effective water resource management and climate change mitigation. It becomes a decision aid mechanism identifying where the system is vulnerable to potential water-related risks for employing resilience measures.

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