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Steady agronomic and genetic interventions are essential for sustaining productivity in intensive rice cropping por Ladha, Jagdish K., Radanielson, Ando M., Rutkoski, Jessica Elaine, Buresh, Roland J., Dobermann, Achim, Angeles, Olivyn, Pabuayon, Irish Lorraine B., Santos-Medellín, Christian, Fritsche-Neto, Roberto, Chivenge, Pauline, Kohli, Ajay

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Varietal improvement options for higher rice productivity in salt affected areas using crop modelling por Radanielson, Ando M., Gaydon, Donald S., Rahman Khan, Md. Mahbubur, Chaki, Apurbo K., Rahman, Md. Atikur, Angeles, Olivyn, Li, Tao, Ismail, A.

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Describing the physiological responses of different rice genotypes to salt stress using sigmoid and piecewise linear functions por Radanielson, Ando M., Angeles, Olivyn, Li, Tao, Ismail, Abdelbagi M., Gaydon, Donald S.

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From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments por Li, Tao, Angeles, Olivyn, Marcaida, Manuel, Manalo, Emmali, Manalili, Mervin Pogs, Radanielson, Ando, Mohanty, Samarendu

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Drought stress impacts of climate change on rainfed rice in South Asia por Li, Tao, Angeles, Olivyn, Radanielson, Ando, Marcaida, Manuel, Manalo, Emmali

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Biomass accumulation and partitioning of newly developed Green Super Rice (GSR) cultivars under drought stress during the reproductive stage por Marcaida, Manuel, Li, Tao, Angeles, Olivyn, Evangelista, Gio Karlo, Fontanilla, Marfel Angelo, Xu, Jianlong, Gao, Yong-Ming, Li, Zhikang, Ali, Jauhar

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Simulation of genotype performances across a larger number of environments for rice breeding using ORYZA2000 por Li, Tao, Raman, Anitha K., Marcaida, Manuel, Kumar, Arvind, Angeles, Olivyn, Radanielson, Ando M.

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Machine learning reveals drivers of yield sustainability in five decades of continuous rice cropping por Yamaguchi, Tomoaki, Angeles, Olivyn, Iizumi, Toshichika, Dobermann, Achim, Katsura, Keisuke, Saito, Kazuki

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