| Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions T Li, T Hasegawa, X Yin, Y Zhu, K Boote, M Adam, S Bregaglio, S Buis, ... Global change biology 21 (3), 1328-1341, 2015 | 421 | 2015 |
| From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments T Li, O Angeles, M Marcaida III, E Manalo, MP Manalili, A Radanielson, ... Agricultural and forest meteorology 237, 246-256, 2017 | 172 | 2017 |
| Drought stress impacts of climate change on rainfed rice in South Asia T Li, O Angeles, A Radanielson, M Marcaida, E Manalo Climatic Change 133, 709-720, 2015 | 62 | 2015 |
| Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments T Hasegawa, T Li, X Yin, Y Zhu, K Boote, J Baker, S Bregaglio, S Buis, ... Scientific Reports 7 (1), 14858, 2017 | 53 | 2017 |
| Simulation of genotype performances across a larger number of environments for rice breeding using ORYZA2000 T Li, AK Raman, M Marcaida III, A Kumar, O Angeles, AM Radanielson Field Crops Research 149, 312-321, 2013 | 52 | 2013 |
| A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration D Makowski, S Asseng, F Ewert, S Bassu, JL Durand, T Li, P Martre, ... Agricultural and Forest Meteorology 214, 483-493, 2015 | 42 | 2015 |
| Biomass accumulation and partitioning of newly developed Green Super Rice (GSR) cultivars under drought stress during the reproductive stage M Marcaida III, T Li, O Angeles, GK Evangelista, MA Fontanilla, J Xu, ... Field Crops Research 162, 30-38, 2014 | 39 | 2014 |
| Combining limited multiple environment trials data with crop modeling to identify widely adaptable rice varieties T Li, J Ali, M Marcaida III, O Angeles, NJ Franje, JE Revilleza, E Manalo, ... PLoS One 11 (10), e0164456, 2016 | 24 | 2016 |
| A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation R Confalonieri, S Bregaglio, M Adam, F Ruget, T Li, T Hasegawa, X Yin, ... Environmental Modelling & Software 85, 332-341, 2016 | 21 | 2016 |
| A spatio-temporal analysis of rice production in Tonle Sap floodplains in response to changing hydrology and climate M Marcaida III, Y Farhat, EN Muth, C Cheythyrith, L Hok, G Holtgrieve, ... Agricultural Water Management 258, 107183, 2021 | 6 | 2021 |
| Crop-model ensembles reduce uncertainty in predicting rice yield under climate change T Li, T Hasegawa, X Yin, Y Zhu, K Boote, M Adam, S Buis, R Confalonieri, ... Proc. Roy. Soc. B: Biol. Sci, 2014 | 6 | 2014 |
| Rice paddy transplanting detection in the Korean Peninsula using multiple Earth Observation methods S Baber, M Marcaida, I Becker-Reshef AGU23, 2023 | | 2023 |
| Maize grain and silage yield prediction of commercial fields using high-resolution UAS imagery S Sunoj, B Yeh, M Marcaida III, L Longchamps, J van Aardt, ... Biosystems Engineering 235, 137-149, 2023 | | 2023 |
| Single‐Strip Spatial Evaluation Approach for Easier, More Meaningful On‐Farm Research S Srinivasagan, JCR Tanchez, M Marcaida III, S Shajahan, K Workman, ... Crops & Soils 56 (3), 13-17, 2023 | | 2023 |
| Technology makes on-farm research easier: Single-strip spatial evaluation approach (SSEA) S Srinivasagan, M Marcaida III, S Shajahan, Q Ketterings Progressive Dairy, 2023 | | 2023 |
| Corn Grain and Silage Yield Estimation Using High-Resolution Satellite Imagery S Shajahan, I Vaish, B Polson, M Marcaida, J Van Aardt, J Guinness, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
| Yield Estimation of Corn on Commercial Agricultural Fields Using High-Resolution UAS Imagery S Shajahan, B Yeh, M Marcaida, J Van Aardt, L Longchamps, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
| Can Grid-Based Soil Sampling Explain Corn Yield Stability Zones? M Marcaida, X Zhang, SN Srinivasagan, S Shajahan, QM Ketterings ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
| Corn Yield Estimations from High-Resolution UAS Imagery Using Recurrent Neural Networks S Shajahan, B Yeh, M Marcaida, J Van Aardt, L Longchamps, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
| Assessing the Impacts of Changing Hydrology, Climate, and Agronomic Practices to Dry Season Rice Production in the Tonle Sap Floodplains M Marcaida III, YA Farhat, F Hossain, RB Neumann, SH Kim AGU Fall Meeting Abstracts 2020, B002-0025, 2020 | | 2020 |
Olivyn Angeles (IRRI)Senior Associate Scientist, International Rice Research Institute (IRRI)Verified email at irri.org
