scholarly journals Coping with drought: Resilience versus risk. Targeting the most suitable G*E*M options by crop simulation modeling

Sécheresse ◽  
2013 ◽  
Vol 24 (4) ◽  
pp. 274-281
Author(s):  
Vincent Vadez ◽  
Jana Kholova
Keyword(s):  
Simulation Modeling ◽  
Drought Resilience ◽  
Crop Simulation ◽  
Crop Simulation Modeling ◽  
Versus Risk

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 In-Season Assessment of Rabi Crop Progression and Condition from Multi Source Data

2014 ◽  
Vol XL-8 ◽  
pp. 919-926 ◽  
Author(s):  
B. Sahay ◽  
K. V. Ramana ◽  
K. Chandrsekar ◽  
A. Biswal ◽  
M. V. R. Sesha Sai ◽  
...  
Keyword(s):  
Crop Growth ◽  
Accurate Information ◽  
Multiple Sources ◽  
Thermal Indices ◽  
Crop Simulation ◽  
Source Data ◽  
Multi Temporal ◽  
Crop Simulation Modeling ◽  
Using Data ◽  
Crop Condition

Timely and accurate information on periodic crop progress and condition is essential to an agricultural country like India. The current study has been carried out with the objective of monitoring the timelines of the sowing of <i>rabi</i> crops viz. wheat and mustard, their progression and condition assessment using data from multiple sources viz. a set of indices derived from remote sensing, meteorological parameters and crop simulation modeling. The study area consists of six districts with significant wheat and mustard crops namely Patiala, Bhiwani, Agra, Bharatpur, Morena and Rohtas, and has been done for three years (2008&ndash;09, 2012&ndash;13 and 2013&ndash;14). The methodology consists of analysis of multi-temporal AWiFS and MODIS datasets of historical and current seasons for the period October to March covering <i>rabi</i> season. Crop simulation for wheat was carried out using DSSAT-CERES crop growth model for assessing crop growth. The results were discussed in terms of crop progression, start-of-the-season and crop condition. As a future scope of this study, thermal indices can be incorporated for further refinement and the same can be extended to larger areas.

Method for Assessing the Ecological Risk to the Population in Areas Outside the Planning Zones of Emergency Protection Measures Around the NPP

2020 ◽  
Vol 17 (5) ◽  
pp. 34-47
Author(s):  
V. M. Polyakov ◽  
Z. S. Agalarov
Keyword(s):  
Ecological Risk ◽  
Environmental Risk ◽  
Risk Taking ◽  
Late Stage ◽  
Simulation Modeling ◽  
Radiation Accident ◽  
Emergency Protection ◽  
Protection Measures ◽  
Vector Criterion

The article offers a method for assessing the environmental risk in the territories adjacent to the planning zone of emergency protection measures around the NPP. The method is based on simulation modeling of territory pollution, which is formed at the late stage of a radiation accident and zoning of territories by risk, taking into account the characteristics of the population’s life in a potentially dangerous territory. A vector criterion of environmental risk is proposed that allows zoning these territories according to the degree of danger to the population.

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