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基于海棠莖干含水率的智能灌溉控制策略研究
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國家重點研發(fā)計劃項目(2017YFD0600901)、天津市科委互聯(lián)網(wǎng)跨界融合重大專項(16ZXHLNC00060),、內(nèi)蒙古自治區(qū)科技計劃項目(201802085)和北京市共建項目專項


Research of Intelligent Irrigation Control Strategy Based on Stem Water Content of Crabapple
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    摘要:

    莖干含水率的動態(tài)變化是研究植物體水分和生長狀況的重要指標(biāo),,準(zhǔn)確判斷活立木水分虧缺是人工林撫育和城市園林綠化中灌溉策略制定的重要科學(xué)依據(jù)。以海棠樹為研究對象,,以莖干含水率為研究參數(shù),,通過干旱脅迫試驗探究莖干含水率變化與海棠樹生理需水的關(guān)系。提出以海棠莖干含水率43%和莖干含水率下降值不超過12%為下限指標(biāo),、土壤含水率33%為上限指標(biāo)的灌溉控制策略,,依據(jù)此策略設(shè)計了一套智能灌溉控制系統(tǒng),,并通過該系統(tǒng)驗證了所提出灌溉策略的有效性與可行性。

    Abstract:

    The dynamic change of stem water content is an important index to study the water content and growth condition of plants, which provides scientific basis for accurately judging the water deficit of active wood, plantation cultivation and irrigation of urban landscaping. Taking the potted crabapple as research object, and the relationship between the change law of stem water content and physiological water requirement of trees was explored through drought stress experiment. Drought stress was divided into two phases, the first phase lasted five days and the second phase lasted ten days. The decrease in stem water content in the second stage was larger than that in the first stage. And the number of leaves withered in the second stage was more than in the first stage. Comprehensively considered the ornamental nature of crabapple, the research took the first stage of drought stress experiment as research node. It was obtained that the stem water and soil water of crabapple showed a one-degree cubic polynomial relationship under natural drought conditions. An irrigation control strategy with stem water content (43%) and stem water content reduction range (12%) as the lower limit index and soil water content (33%) as the upper limit index was proposed. According to the strategy, an intelligent irrigation control system was designed, and the effectiveness and feasibility of the proposed irrigation strategy were verified by the system.

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趙燕東,鄭焱,周海洋,林劍輝,張鑫,于福滿.基于海棠莖干含水率的智能灌溉控制策略研究[J].農(nóng)業(yè)機械學(xué)報,2020,51(7):323-331. ZHAO Yandong, ZHENG Yan, ZHOU Haiyang, LIN Jianhui, ZHANG Xin, YU Fuman. Research of Intelligent Irrigation Control Strategy Based on Stem Water Content of Crabapple[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(7):323-331.

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  • 收稿日期:2019-10-10
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  • 在線發(fā)布日期: 2020-07-10
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