Resultados de búsqueda - Saito, T.

A screening protocol for developing high-yielding upland rice varieties with superior weed-suppressive ability por Saito, Kazuki

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Factors affecting farmers’ adoption of NERICA upland rice varieties: the case of a seed producing village in central Benin por Yokouchi, T., Saito, Kazuki

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Theories and Methods for the Study of Multi-Level Environmental Governance por Saito-Jensen, M.

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Improving estimation of weed suppressive ability of upland rice varieties using substitute weeds por Saito, Kazuki, Futakuchi, K.

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Integrated research for development approach to upgrade the whole rice value-chain in sub-Saharan Africa: Contribution of Africa Rice Center after NERICA (New Rice for Africa) por Futakuchi, K., Saito, Kazuki

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Changes in production, yields, and the cropped area of lowland rice over the last 20 years and factors affecting their variations in Côte d′Ivoire por Komatsu, S., Saito, Kazuki, Sakurai, T.

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Assessing genetic and agronomic gains in rice yield in sub-Saharan Africa: A meta-analysis por Ibrahim, A., Saito, Kazuki

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Towards sustainable productivity enhancement of rice-based farming systems in sub-Saharan Africa por Rodenburg, J., Saito, Kazuki

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Determination of the minimum number of plants and the minimum area to be harvested for correct crop yield determinations por Hauser, Stefan, Saito, Kazuki

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Review of weather and climate forecast-based advisory frameworks for rice-based systems por Mabilangan, Abigail, Saito, Kazuki

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The nitrogen relationships of maize/bean associations por Saito, Siu Mui Tsai

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Japan and the CGIAR: Strengthening the Partnership por CGIAR Secretariat, Saito, Masayoshi

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日本と CGIAR: より強力なパートナーシップのために por Saito, Masayoshi, CGIAR Secretariat

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Preface to the Special Issue por Saito, Kazuki, Liyama, M., Muranaka, S.

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Application of a Bayesian approach to quantify the impact of nitrogen fertilizer on upland rice yield in sub-Saharan Africa por Asai, H., Saito, Kazuki, Kawamura, K.

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Causes of yield stagnation in irrigated lowland rice systems in the Senegal River Valley: Application of dichotomous decision tree analysis por Tanaka, A., Diagne, M., Saito, Kazuki

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User experience on testing RiceAdvice digital tools for nutrient management por Ibrahim, A., Saito, Kazuki, Senthilkumar, Kalimuthu

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Evaluating responses by ChatGPT to farmers’ questions on irrigated rice cultivation in Nigeria por Ibrahim, Ali, Senthilkumar, Kalimuthu, Saito, Kazuki

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Evaluating responses by ChatGPT to farmers’ questions on irrigated lowland rice cultivation in Nigeria por Ibrahim, Ali, Senthilkumar, Kalimuthu, Saito, Kazuki

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PROGRESS REPORT: Developing Data‑Driven Agronomic Recommendations for Site‑Specific Nutrient Management on Rice in Cambodia por Mabilangan, Abigail, Mkuhlani, Siyabusa, Saito, Kazuki

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