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水肥氣熱耦合對溫室番茄生長機理及產(chǎn)量的影響研究

發(fā)布時間:2018-01-17 14:08

  本文關(guān)鍵詞:水肥氣熱耦合對溫室番茄生長機理及產(chǎn)量的影響研究 出處:《寧夏大學》2017年碩士論文 論文類型:學位論文


  更多相關(guān)文章: 非耕地溫室 番茄 滴灌 水肥氣熱耦合 節(jié)水灌溉


【摘要】:本文針對寧夏賀蘭縣非耕地溫室蔬菜灌溉水利用率低、肥料利用率低等實際問題,立足賀蘭縣欣榮村溫室蔬菜試驗示范基地,采用正交試驗、二次通用旋轉(zhuǎn)組合試驗方法,對非耕地溫室番茄水肥氣熱耦合效應(yīng)進行了系統(tǒng)的研究,為寧夏溫室番茄水肥氣熱耦合灌溉推廣提供了理論依據(jù)。主要研究結(jié)果如下:1.采用正交試驗方法,對灌水定額、施肥量、溶氧量和地熱管水溫四因素三水平9個處理的水肥氣熱最優(yōu)組合方案進行了試驗研究。通過極差分析和方差分析,得出影響產(chǎn)量的主次因素為地熱管水溫(主)——溶氧量——灌水定額——施肥量;各單因素與產(chǎn)量的變化趨勢,即灌水定額和施肥量與產(chǎn)量均呈凸拋物線增長趨勢,而溶氧量和地熱管水溫與產(chǎn)量的變化趨勢基本呈線性增長;影響產(chǎn)量的最優(yōu)水平組合為A2B2C1D3,即灌水定額10 m3/667m2、施肥量12 kg/667m2、溶氧量6 mg/1和地熱管水溫35℃。同時也分別得出了影響生長量、光合作用、品質(zhì)等指標的主次因素,各單因素與產(chǎn)量的變化趨勢及四因素的最優(yōu)水平組合。2.采用二次通用旋轉(zhuǎn)組合設(shè)計試驗方法,對灌水定額、施肥量、溶氧量和地熱管水溫四因素五水平的水肥氣熱耦合模型進行了試驗研究。建立了產(chǎn)量與水肥氣熱耦合的回歸模型,并通過F檢驗和t檢驗,說明回歸方程顯著,可用于預(yù)測產(chǎn)量;通過模型解析,得出影響產(chǎn)量的主次因素為灌水定額(主)——施肥量——地熱管水溫——溶氧量;各單因素與產(chǎn)量的變化趨勢,即隨著灌水定額、施肥量、溶氧量和地熱管水溫的增大產(chǎn)量在持續(xù)增長。并得出在一定產(chǎn)量條件下的的水肥氣熱最優(yōu)組合方案,同時也分別建立了生長量、光合作用、品質(zhì)等指標與四因素的回歸模型;通過模型解析,得出在一定產(chǎn)量條件下的的水肥氣熱最優(yōu)組合方案。
[Abstract]:Aiming at the practical problems such as low utilization rate of irrigation water and low utilization rate of fertilizer in non-cultivated greenhouse vegetables in Helan County, this paper bases on the greenhouse vegetable experiment demonstration base of Xinrong Village, Helan County, and adopts orthogonal experiment. The effects of water, fertilizer, gas and heat coupling on non-cultivated greenhouse tomato were studied in this paper. The main results are as follows: 1. Using the orthogonal test method, the irrigation quota and the amount of fertilizer were applied. The optimal combination of water, fertilizer and gas heat was studied by means of range analysis and variance analysis. The main and secondary factors influencing the yield are the water temperature of geothermal pipe (main oxygen dissolved quantity-irrigation quota-fertilizer quantity); The variation trend of each single factor and yield, that is, irrigation quota, fertilization amount and yield, all showed a convex parabola trend, while the variation trend of dissolved oxygen quantity and geothermal pipe water temperature and yield showed a linear increase. The optimal level combination affecting yield was A2B2C1D3, that is, irrigation quota of 10m3 / 667m2and fertilization amount of 12 kg/667m2. The dissolved oxygen content (6 mg/1) and the water temperature of the geothermal pipe were 35 鈩,

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