ORYZA2000 : modeling lowland rice

By B. Bouman, M. Kropff, T. Tuong, M. Wopereis, H. Berge, H. H. Laar. 2001

324 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fd0662375e3c9ce40af197ac178f4d66ee52dddd

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Citations in the corpus

A physiological production model for cocoa (Theobroma cacao): model presentation validation and application (2005, background): “Physiological growth and production models have shown to be very useful for guiding improvements in cropping systems of various annual crops (e.g., wheat, rice, potatoes; Van Laar et al., 1997; Bouman et al., 2001; Wolf, 2002).”
Yield gap analysis of field crops: Methods and case studies (2015, methodology): “Models such as CERES, APSIM, CropSyst, ORYZA2000 and AquaCrop are suitable for estimating both yield potential and water-limited yield (Bouman et al. 2001; Jones et al. 2003; Keating et al. 2003; Stöckle et al. 2003; Steduto et al. 2009).”
Assessment of rice self-sufficiency in 2025 in eight African countries (2015, methodology): “Yp and Yw were simulated with a modified version of the ORYZA2000 model (Bouman et al., 2001).”
Simulation of soybean growth and yield in near-optimal growth conditions (2010, background): “Indeed, in the rice odel ORYZA2000, accurate yield simulation relies on the number f spikelets, which is based on crop growth rate in the period from anicle initiation to first flowering (Bouman et al., 2001).”
Effect of nitrogen rates and weed control methods on weeds abundance and yield of direct-seeded rice (2011, unknown): “We are currently evaluating the CERES-Rice and ORYZA2000 models (Bouman et al. 2001; Timsina and Humphreys 2006) by seeking assistance from other modellers of PAU that will help us to extrapolate our findings to other similar environments of interest.”