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Simulation Modelling

Once the reasonable depth of understanding the physiological traits is attained, ultimately, the tool for value/risk assessment of such new technology within target agro-eco-systems is necessary. Reproducing the physiological traits in silico using modelling tools enables probabilistic foresight on mechanistic of physiological traits within the framework of target agricultural production systems and so allows assessment of its economic value for agricultural production.

  • Meteorological data
  • Soil data
  • Gridded data

Publications

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum

Functional Plant Biology, July, 2014

Jana Kholová, Tharanya Murugesan, Sivasakthi Kaliamoorthy, Srikanth Malayee
Rekha Baddam, Graeme L. Hammer, Greg McLean, Santosh Deshpande, C. Thomas Hash, Peter Q. Craufurd, Vincent Vadez

CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science (TSI). pp. 1-21. ISSN 0011-183X

Ramirez‐Villegas, J and Molero Milan, A and Alexandrov, N and Asseng, S and Challinor, A J and Crossa, J and Eeuwijk, F and Ghanem, M E and Grenier, C and Heinemann, A B and Wang, J and Juliana, P and Kehel, Z and Kholova, J and Koo, J and Pequeno, D and Quiroz, R and Rebolledo, M C and Sukumaran, S and Vadez, V and White, J W and Reynolds, M (2020)

 

Modelling possible benefits of root related traits to enhance terminal drought adaptation of chickpea

Field Crops Research, July, 2012

Vincent Vadez, A.Soltani, T.R. Sinclair

 

Characterization of the main chickpea cropping systems in India using a yield gap analysis approach

Hajjarpoor, A and Vadez, V and Soltani, A and Gaur, P M and Whitbread, A M and Suresh Babu, D and Gumma, M K and Diancoumba, M and Kholova, J (2018)

Data Pre-processing for Agricultural Simulations

Jarolímek, J., Pavlík, J., Kholova, J. and Ronanki, S. (2019)

 

Drought stress characterization of post-rainy season (rabi) sorghum in India

Jana Kholováa,∗, Greg McLeanb, Vincent Vadeza, Peter Craufurda, Graeme L. Hammerc

 
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