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Determining Irrigation Volumes for Enhancing Profit and N Uptake Efficiency of Potato Using WASH_2D Model

https://repository.lib.tottori-u.ac.jp/records/2001323
https://repository.lib.tottori-u.ac.jp/records/2001323
ba27c745-16f5-4777-b837-b197b5db43ec
名前 / ファイル ライセンス アクション
agronomy12(10)_2372.pdf agronomy12(10)_2372.pdf
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2024-02-21
タイトル
タイトル Determining Irrigation Volumes for Enhancing Profit and N Uptake Efficiency of Potato Using WASH_2D Model
言語 en
言語
言語 eng
キーワード
言語 en
主題 net income
キーワード
言語 en
主題 sandy soil
キーワード
言語 en
主題 nitrogen uptake efficiency
キーワード
言語 en
主題 transpiration
キーワード
言語 en
主題 dryland
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 Liang,Shuoshuo

× Liang,Shuoshuo

en Liang,Shuoshuo
Tottori University

ja kakenhi 鳥取大学 15101

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Abd El Baki,Hassan M.

× Abd El Baki,Hassan M.

en Abd El Baki,Hassan M.
Tottori University

ja kakenhi 鳥取大学 15101

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安,萍

× 安,萍

WEKO 4628
研究者総覧鳥取大学 100000683
e-Rad 60379659

ja 安,萍
kakenhi 鳥取大学 15101

en An,Ping
Tottori University

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藤巻,晴行

× 藤巻,晴行

WEKO 4874
研究者総覧鳥取大学 100000694
e-Rad 90323253

ja 藤巻,晴行
kakenhi 鳥取大学 15101

en Fujimaki,Haruyuki
Tottori University

ja-Kana フジマキ,ハルユキ

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著者所属(英)
言語 en
値 Arid Land Research Center, Tottori University
著者所属(英)
言語 en
値 Arid Land Research Center, Tottori University
著者所属(英)
言語 en
値 Arid Land Research Center, Tottori University
著者所属(英)
言語 en
値 Arid Land Research Center, Tottori University
抄録
内容記述タイプ Other
内容記述 Soaring food prices and the intensified scarcity of water resources put a new emphasis on efficient use of water in irrigation. Numerical models for water flow and crop growth can be used to predict crop water stress and make decisions on irrigation management. To this end, a new irrigation scheme was presented to determine the optimum irrigation depths using WASH_2D, a numerical model of water flow and solute transport in soils and crop growth. By using freely available quantitative weather forecasts and volumetric water price as input data to predict soil water flow and give the recommendation of irrigation depths which maximizes net income during each irrigation interval. Field experiments using potato were conducted for two-seasons in a sandy soil in Japan under three irrigation methods, i.e., using the simulation model named treatment “S” (to distinguish, named S1 in first season and S2 in second season), automatic irrigation method using soil moisture sensors named treatment “A”, and refilling irrigation management supplying 100% consumed water named treatment “R”. To compare S with other two treatments, S1 and A was conducted in the first season, then S2 and R was conducted in the second season. Results showed that S1 improved potato yield by 19%, and reduced water by 28%, resulting in an increased net income by 19% compared with A in the first season. There was no significant difference when compared with R in the second season, which was mainly due to the frequent rainfall during second growing season. In addition, S improved the nitrogen uptake efficiency (NUPE) by 39% and 11% compared with A and R, respectively. The simulated values of water content were in fair agreement with those measured in the root zone. In short, simulated irrigation method was effective in improving yield, saving water and increasing NUPE of potato compared with automatic and refilling irrigation methods in sandy field.
言語 en
書誌情報 en : Agronomy

巻 12, 号 10, p. 2372, 発行日 2022-09-30
出版者
出版者 MDPI
言語 en
ISSN
収録物識別子タイプ EISSN
収録物識別子 20734395
権利
言語 en
権利情報 (C) 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
情報源
関連名称 Liang, S.; Abd El Baki, H.M.; An, P.; Fujimaki, H. Determining Irrigation Volumes for Enhancing Profit and N Uptake Efficiency of Potato Using WASH_2D Model. Agronomy 2022, 12, 2372. https://doi.org/10.3390/agronomy12102372
関連サイト
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/agronomy12102372
関連名称 https://doi.org/10.3390/agronomy12102372
著者版フラグ
出版タイプ VoR
Web of Science Key ut
値 WOS:000874149400001
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