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Study on the Dynamic Low Limit of Irrigation for Winter Wheat

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Computer and Computing Technologies in Agriculture X (CCTA 2016)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 509))

Abstract

The concept of dynamic irrigation low limit (DILL) was proposed and the determination method of DILL was given based on crop-water model. The parameters of the crop-water model were calibrated with winter wheat experimental data of 2008 and 2009. The optimal irrigation scheduling of five typical years under different irrigation water supply were determined, which resulted in 58 groups of data on the average soil moisture content of main root zone (0–60 cm) before an irrigation, the corresponding irrigation time, and water supply. The results showed that, the crop yield under the irrigation times of 3 and 2 increased by 7.42% and 5.62% averaged from 2009 to 2013, and the economic benefit increased by 7.64% and 7.24% than those under the empirical irrigation practices, respectively. The irrigation forecast based on DILL provides an important method to implement and dynamically correct optimal irrigation scheduling under limited water supply.

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Acknowledgment

The National Science and technology support program No. 2012BAD08B01 supported this work. Study on the patterns of festination dynamic decision-making and implementation. The foundation of application and research is in cutting-edge technologies project in Tianjin. No. 10JCYBJC09400, 2010.1–2013.3.

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  1. Tianjin Agricultural University, Tianjin, 300384, China

    Hongzheng Shen & Yangren Wang

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  1. Hongzheng Shen
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  2. Yangren Wang
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Correspondence to Yangren Wang .

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  1. China Agricultural University, Beijing, China

    Daoliang Li

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Shen, H., Wang, Y. (2019). Study on the Dynamic Low Limit of Irrigation for Winter Wheat. In: Li, D. (eds) Computer and Computing Technologies in Agriculture X. CCTA 2016. IFIP Advances in Information and Communication Technology, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-030-06155-5_17

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  • DOI: https://doi.org/10.1007/978-3-030-06155-5_17

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-06155-5

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