Ando joined IRRI in December 2011. She is a postdoctoral fellow under the supervision of Dr. Tao Li and Dr. Abdelbagi M. Ismail.
Ando improves the ORYZA2000 rice crop model to represent salinity stress on plant growth and yield. Her work contributes in developing a suitable tool to help agronomists test and identify suitable crop management that would maintain and improve rice productivity under saline conditions. This will help also physiologists to understand salinity tolerance mechanism at the whole plant level and breeders to identify adaptive traits to screen for tolerant cultivars.
She has also worked in using cropping system modelling to explore and assess management options to improve rice-based cropping system productivity under changing environmental conditions due to climate change in deltaic regions of the Ganges and the Mekong.
- Crop model
- Cropping system
- Abiotic stresses
- Climate change
- PhD in Plant Integrative Biology, International Centre for Higher Education in Agricultural Science Montpellier SupAgro, France (2011)
- MS in “Biology, Geoscience, Agroressource and Environment” option “Natural and cultivated Ecosystem functioning”, Montpellier University of Sciences 2, France (2007)
- MS in Agronomy sciences, High School of Agronomy Sciences of Antananarivo, Antananarivo University Madagascar (2004)
- Postdoctoral Fellow, Modeling salinity stress on rice, IRRI (2011- Present)
- Agronomist, ITK Software development for Agriculture, (2010-2011)
- Research Associate in Sunflower breeding, SYNGENTA SEED SAS, Saint Sauveur, France, (2007-2010)
SELECTED PUBLICATIONS (RECENT)
- Radanielson A.M., O. Angeles, T. Li, A.K. Rahman and D. Gaydon. 2015. Optmizing use of fresh and saline water for irrigaton of boro rice in salt affected areas of Bangladesh using the crop model ORYZA v3. In Humphreys, E., T.P. Tuong, M.C. Buisson, I. Pukinskis and M. Phillips. Revitalizing the Ganges Coastal Zone: Turning Science into Policy and Practices Conference Proceedings. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). 477-491.
- Li T., Raman A.K., Marcaida M., Kumar A., Angeles O. and A.M., Radanielson 2013. Simulation of genotype performances across a larger number of environments for rice breeding using ORYZA2000. Field Crop Research, 149, 312-321.
- Guilioni L., Radanielson A.M., Christophe A. , Lecoeur, J., 2008. Root system and water extraction variability for sunflower hybrids. In Proceedings of the 17th International Sunflower Conference Volume 1, Cordoba, Spain, 8-12 June 2008, pp 13-28.
- Dusserre J., Audebert A., Radanielson A.M., Chopart J.L. 2009.Towards a simple generic model for upland rice root length density estimation from root intersections on soil profile. Plant and soil, 325 (1-2) : 277-288.
- Radanielson A. M., J., Lecoeur, A., Christophe, L. Guilioni .2010. Genotypic parameters of SUNFLO model: potential use for Sunflower breeding programs. In Proceedings of the XIth European Society of Agronomy Congress, Montpellier, France, August 29- September 3, 2010, pp 57-58.
- Radanielson A. M., J., Lecoeur, A., Christophe, L. Guilioni .2012. Use of water extraction variability to screen for sunflower genotypes well adapted to soil water limitation. Functional Plant Biology, Vol. 39, 12, 999 – 1008.
Dr. Ando Mariot Radanielson
International Rice Research Institute
Los Baños, Laguna
+63 2 580 5600