Meminvegni Landry Gildas Guidigan, Elliott Ronald Dossou-Yovo, Ando Mariot Ra-danielson, Komlavi Akpoti, Assa Tapily, Maduabuchi Paul Iboko, Ahmed Adedoyin Balogun
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Future climate impacts were evaluated using bias-corrected data from RCP 4.5 and RCP 8.5 (where RCP is representation concentration pathway) scenarios. The model performed satisfactorily, with <i>R</i><sup>2</sup> values between 0.8 and 1, RMSE ranging from 0 to 5 t ha<sup>−1</sup>, and Nash–Sutcliffe Efficiency from 0.99 to 1. Projections indicated rice yield reduction of 82% and 77% by 2070–2100, under RCP 4.5 and RCP 8.5, respectively, compared to the 2019 baseline. Alternative management practices, including manure application at 3 Mg ha<sup>−1</sup>, rice straw mulching at 3 Mg ha<sup>−1</sup>, and nitrogen fertilizer at 180 kg ha<sup>−1</sup>, mitigated yield losses and even increased yield under climate change. These findings suggest that while climate change will substantially reduce irrigated rice yield, implementing improved management practices can enhance rice productivity and support food security in West Africa's derived savannah zone.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 4","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mitigating climate change impacts on West African rice yields: Evaluating APSIM-ORYZA and management practices\",\"authors\":\"Meminvegni Landry Gildas Guidigan, Elliott Ronald Dossou-Yovo, Ando Mariot Ra-danielson, Komlavi Akpoti, Assa Tapily, Maduabuchi Paul Iboko, Ahmed Adedoyin Balogun\",\"doi\":\"10.1002/agj2.70113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Rice (<i>Oryza sativa</i>) demand in sub-Saharan Africa is projected to rise by 12 million tonnes between 2021 and 2026. However, climate change poses a significant challenge to achieving rice self-sufficiency in the region. This study assessed the impact of climate change on rice yield and evaluated management practices to reduce associated yield losses in the derived savannah agroecological zone of West Africa. Field experiments were conducted on 22 farmers' fields across two irrigated schemes in central Cote d'Ivoire. Data on soil properties, weather, management practices, and rice yield was used to calibrate and validate the integrated model combining APSIM and ORYZA 2000 model. Future climate impacts were evaluated using bias-corrected data from RCP 4.5 and RCP 8.5 (where RCP is representation concentration pathway) scenarios. The model performed satisfactorily, with <i>R</i><sup>2</sup> values between 0.8 and 1, RMSE ranging from 0 to 5 t ha<sup>−1</sup>, and Nash–Sutcliffe Efficiency from 0.99 to 1. Projections indicated rice yield reduction of 82% and 77% by 2070–2100, under RCP 4.5 and RCP 8.5, respectively, compared to the 2019 baseline. Alternative management practices, including manure application at 3 Mg ha<sup>−1</sup>, rice straw mulching at 3 Mg ha<sup>−1</sup>, and nitrogen fertilizer at 180 kg ha<sup>−1</sup>, mitigated yield losses and even increased yield under climate change. 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Mitigating climate change impacts on West African rice yields: Evaluating APSIM-ORYZA and management practices
Rice (Oryza sativa) demand in sub-Saharan Africa is projected to rise by 12 million tonnes between 2021 and 2026. However, climate change poses a significant challenge to achieving rice self-sufficiency in the region. This study assessed the impact of climate change on rice yield and evaluated management practices to reduce associated yield losses in the derived savannah agroecological zone of West Africa. Field experiments were conducted on 22 farmers' fields across two irrigated schemes in central Cote d'Ivoire. Data on soil properties, weather, management practices, and rice yield was used to calibrate and validate the integrated model combining APSIM and ORYZA 2000 model. Future climate impacts were evaluated using bias-corrected data from RCP 4.5 and RCP 8.5 (where RCP is representation concentration pathway) scenarios. The model performed satisfactorily, with R2 values between 0.8 and 1, RMSE ranging from 0 to 5 t ha−1, and Nash–Sutcliffe Efficiency from 0.99 to 1. Projections indicated rice yield reduction of 82% and 77% by 2070–2100, under RCP 4.5 and RCP 8.5, respectively, compared to the 2019 baseline. Alternative management practices, including manure application at 3 Mg ha−1, rice straw mulching at 3 Mg ha−1, and nitrogen fertilizer at 180 kg ha−1, mitigated yield losses and even increased yield under climate change. These findings suggest that while climate change will substantially reduce irrigated rice yield, implementing improved management practices can enhance rice productivity and support food security in West Africa's derived savannah zone.
期刊介绍:
After critical review and approval by the editorial board, AJ publishes articles reporting research findings in soil–plant relationships; crop science; soil science; biometry; crop, soil, pasture, and range management; crop, forage, and pasture production and utilization; turfgrass; agroclimatology; agronomic models; integrated pest management; integrated agricultural systems; and various aspects of entomology, weed science, animal science, plant pathology, and agricultural economics as applied to production agriculture.
Notes are published about apparatus, observations, and experimental techniques. Observations usually are limited to studies and reports of unrepeatable phenomena or other unique circumstances. Review and interpretation papers are also published, subject to standard review. Contributions to the Forum section deal with current agronomic issues and questions in brief, thought-provoking form. Such papers are reviewed by the editor in consultation with the editorial board.