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Application of a Bayesian approach to quantify the impact of nitrogen fertilizer on upland rice yield in sub-Saharan Africa
https://doi.org/10.34556/0002001114
https://doi.org/10.34556/00020011142d9b5979-b491-4e5f-9818-f5516d980ce0
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
FCR272_108284_2021_AM (1.0 MB)
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| アイテムタイプ | 国際農研デフォルトアイテムタイプ（フル）(1) | |||||||||||
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| 公開日 | 2025-02-25 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Application of a Bayesian approach to quantify the impact of nitrogen fertilizer on upland rice yield in sub-Saharan Africa | |||||||||||
| 言語 | en | |||||||||||
| 作成者 |
Asai, Hidetoshi
× Asai, Hidetoshi （Author）
ORCID
0000-0003-0125-1234
× Saito, Kazuki （Author）
ORCID
0000-0002-8609-2713
× Kawamura, Kensuke （Author）
ORCID
0000-0002-2824-1266
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| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| 権利情報 | ||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by-nc-nd/4.0/deed/en | |||||||||||
| 権利情報 | ©2021. This manuscript version is made available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/) | |||||||||||
| 主題 | ||||||||||||
| 主題 | Bayesian analysis, Oryza spp, meta-analysis, upland rice, mineral fertilizer, field-specific nutrient management | |||||||||||
| 内容記述 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | Mineral fertilizer input is indispensable to offset yield stagnation in rainfed upland rice production in sub-Saharan Africa (SSA). The present study is the first attempt to perform a meta-analysis based on a Bayesian approach with the objective of quantitatively assessing the impact of mineral fertilizer application on upland rice yield and quantifying the effects of soil type and precipitation on the yield response to mineral fertilizer application. The data were gathered from 13 field studies on the rice variety NERICA 4 in 8 SSA countries, which provided a total of 151 paired observations. The yield gain with fertilizer application (YG) varied considerably, ranging from –0.8 to 3.0 t ha⁻¹, with an average of 0.6 t ha⁻¹. Based on the empirical relationships among the datasets, the total precipitation during the cropping season, N fertilizer application rate, and binarized soil type (i.e., low clay [≤ 20%] and high clay [> 20%]) were selected as key factors for the determination of YG. High clay soils exhibited higher YG than low clay soils did (i.e., 0.87 vs. 0.37 t ha⁻¹, respectively). The relationships of YG with the N fertilizer application rate and precipitation were modeled for each soil type using a Bayesian approach. The results of the Markov chain Monte Carlo simulation indicated that greater precipitation improved YG with high credibility irrespective of soil type. Additionally, a greater rate of N fertilizer application in high clay soil also improved YG with high credibility, while its contribution to YG in low clay soil was inferior. These results highlight the need to develop a field-specific nutrient management strategy for rainfed upland rice with a focus on fine-tuning the N fertilizer input based on the soil texture and expected precipitation for improving upland rice yield and nutrient use efficiency in SSA. The Bayesian procedure offers a new approach for the meta-analysis of the yield response to mineral fertilizers as affected by biophysical factors. However, including more data points in the database and additional factors in the data analysis are warranted to improve the model predictability and reliability. | |||||||||||
| 言語 | en | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | Elsevier BV | |||||||||||
| 日付 | ||||||||||||
| 日付 | 2021-08-28 | |||||||||||
| 日付タイプ | Accepted | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| 資源タイプ | journal article | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
| ID登録 | ||||||||||||
| ID登録 | 10.34556/0002001114 | |||||||||||
| ID登録タイプ | JaLC | |||||||||||
| 関連情報 | ||||||||||||
| 関連タイプ | isVersionOf | |||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.1016/j.fcr.2021.108284 | |||||||||||
| 収録物識別子 | ||||||||||||
| 収録物識別子タイプ | PISSN | |||||||||||
| 収録物識別子 | 0378-4290 | |||||||||||
| 収録物識別子 | ||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||
| 収録物識別子 | AA11527754 | |||||||||||
| 書誌情報 |
en : Field Crops Research 巻 272, p. 108284, 発行日 2021-09-04 |
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| 助成情報 | ||||||||||||
| 識別子タイプ | Crossref Funder | |||||||||||
| 助成機関識別子 | https://doi.org/10.13039/501100009472 | |||||||||||
| 助成機関名 | Japan International Research Center for Agricultural Sciences (JIRCAS)(en) | |||||||||||
| 研究課題番号 | 05A1B1 | |||||||||||
| 研究課題番号URI | https://www.jircas.go.jp/program/prob/b1 | |||||||||||
| 研究課題名 | Development of resilient crops and production technologies(en) | |||||||||||
