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基于灰色關(guān)聯(lián)與TOPSIS耦合模型的甜瓜水肥灌溉決策
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陜西省科技創(chuàng)新團(tuán)隊項目(2021TD-34),、陜西省農(nóng)業(yè)科技創(chuàng)新轉(zhuǎn)化項目(NYKJ-2021-YL(XN)04)和現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術(shù)體系建設(shè)專項(CARS-23-C07)


Water and Fertilizer Irrigation Decision of Melon Based on Grey Relation Analysis and TOPSIS Coupling Model
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    摘要:

    為對設(shè)施甜瓜高效集約化生產(chǎn)實施準(zhǔn)確有效的水肥管理,以“千玉六號”甜瓜為對象,,于2020年4—7月在陜西省楊凌區(qū)的雙層大跨度溫室內(nèi)進(jìn)行試驗,,設(shè)水肥兩因素,依據(jù)蒸騰蒸發(fā)量(ETc)和目標(biāo)產(chǎn)量法設(shè)計3個灌水量(W1:低水,75%ETc,;W2:中水,,100%ETc;W3:高水,,125%ETc)及3個施肥量(F1:低肥,,施肥量758.44kg/hm2;F2:中肥,,施肥量948.05kg/hm2,;F3:高肥,施肥量1137.66kg/hm2),,研究不同水肥條件對甜瓜生長,、產(chǎn)量、品質(zhì)及水肥利用效率的影響,,運用綜合評價方法確定最優(yōu)灌水施肥制度,。結(jié)果表明,水肥耦合對甜瓜各指標(biāo)的影響不同,,基于博弈論的組合賦權(quán)法對甜瓜生長,、產(chǎn)量、品質(zhì)及水肥利用效率4類因素12個指標(biāo)進(jìn)行綜合賦權(quán),,其中總產(chǎn)量權(quán)重最大,為0.343,,游離氨基酸含量最小,,為0.007?;诨疑P(guān)聯(lián)與TOPSIS耦合模型進(jìn)行綜合評價,,中水中肥處理下復(fù)合貼近度最佳。水肥配施對甜瓜綜合生長的交互作用顯著,,灌水量及施肥量對甜瓜綜合生長的調(diào)控均呈先增加再降低的趨勢,,與實際生產(chǎn)相符。當(dāng)灌水量為810.52~990.64m3/hm2,、施肥量為853.25~1042.85kg/hm2時甜瓜綜合生長得分最高,,為最優(yōu)的水肥配施方案。本研究可為當(dāng)?shù)卦O(shè)施甜瓜生產(chǎn)中水肥科學(xué)管理提供依據(jù),。

    Abstract:

    Aiming to implement accurate and effective water and fertilizer management for the efficient and intensive production of melons in facilities. The melon of “Qianyu No.6” was selected as test material, in a double-layer large-span greenhouse in Yangling, Shaanxi from April to July in 2020. With two factors of water and fertilizer, three irrigation levels were designed based on the crop transpiration (ETc) (W1: low water, 75%ETc, W2: medium water, 100%ETc, W3: high water,125%ETc) and three fertilization rates were calculated according to the target yield method (F1: low fertilizer 758.44kg/hm2, F2: medium fertilizer 948.05kg/hm2, F3: high fertilizer 1137.66kg/hm2). To investigate the effects of different water and fertilizer conditions on the growth, yield, quality and water and fertilizer use efficiency and the optimal irrigation and fertilization plan was determined by using a comprehensive evaluation method. The results showed that the coupling of water and fertilizer had different effects on the indicators of melon. The total of 12 indicators from four categories of growth, yield, quality, and profitability were combined and weighed based on game theory. The total yield got the largest comprehensive weight of 0.343, and the lowest weight was obtained from free amino acid content of 0.007. Comprehensive evaluation was carried out based on gray relation analysis and TOPSIS coupling model, and the compound closeness was the best under the medium levels of both irrigation and fertilization. The combined application of fertilization had a significant interaction effect on the comprehensive growth of melon, and the tendencies of irrigation and fertilization on the comprehensive growth of melon were observed first increasing and then decreasing, which was consistent with actual production. Melon had the highest comprehensive growth score when the irrigation amount was 810.52~990.64m3/hm2 and the fertilization rate was 853.25~1042.85kg/hm2, which was the optimal water and fertilization application plan. The research result can provide a basis for the scientific management of water and fertilizer in the production of melon in local greenhouse.

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張智,楊志,黎景來,張夢池,李瑞,賀代偉.基于灰色關(guān)聯(lián)與TOPSIS耦合模型的甜瓜水肥灌溉決策[J].農(nóng)業(yè)機械學(xué)報,2021,52(9):302-311,,330. ZHANG Zhi, YANG Zhi, LI Jinglai, ZHANG Mengchi, LI Rui, HE Daiwei. Water and Fertilizer Irrigation Decision of Melon Based on Grey Relation Analysis and TOPSIS Coupling Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(9):302-311,330.

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  • 收稿日期:2021-03-11
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  • 在線發(fā)布日期: 2021-09-10
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