基于遗传算法的基质培黄瓜营养液配方优化(英文)
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China Agriculture Research System (CARS-23-C07); the Key Research and Development Program of Shaanxi Province, China, Projects (2018TSCXL-NY-05-01 and 2019TSLNY01-05).


[36] Wang C, Zhou L B, Zhang G B, et al. Optimal fertilization for high yield and good quality of waxy sorghum (Sorghum bicolor L. Moench)[J]. Field Crops Research, 2017, 203: 1-7.
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    摘要:

    为探究施肥多因子耦合对黄瓜产量、品质、肥料利用率等方面的综合调控,获取适宜的基质栽培营养液配方。以'博耐526'黄瓜为试材,通过四因素(N、K、Ca、Mg)五水平(1/2)二次正交旋转组合设计,共23个处理,利用四元二次回归分析建立了N、K、Ca、Mg对黄瓜产量品质综合评分的回归模型,分析了双因素与三因素耦合效应对黄瓜产量品质综合评分的影响。结果表明,各因素对黄瓜产量品质综合评分的影响程度由大到小依次为氮、钾、钙、镁,黄瓜产量品质综合评分随各因素的增加均呈现先增加后减小的趋势。N-K和N-Ca的耦合效应显著(P<0.05),而其余因素耦合效应不显著(P>0.05);N-K耦合效应对黄瓜产量和品质综合得分的影响为负,而N-Ca耦合效应为正。同时建立了黄瓜产量品质综合评分、氮、钾和钙利用率的多目标优化模型,利用遗传算法对该模型进行模拟寻优,得到优化的氮,钾,钙和镁浓度分别为14.83、6.89、3.55和4.17 mmol/L。在此条件下,黄瓜的单株产量、可溶性蛋白、维生素C和可溶性总糖含量分别比山崎黄瓜专用配方处理显着提高了21.07%,40.91%,53.33%和11.48%,有机酸和硝酸盐含量比山崎黄瓜专用配方处理显著降低,此结果可为基质栽培黄瓜高产优质和营养液科学管理提供指导依据。

    Abstract:

    Abstract: The goal of this study was to obtain an optimal nutrient solution formula of cucumber for substrate cultivation based on the comprehensive evaluation of cucumber yield, quality and fertilizer use efficiency. The concentrations of nitrogen (N), potassium (K), calcium (Ca) and magnesium (Mg) were designed by a five-level (1/2) quadratic orthogonal rotation combination design method to obtain a total of 23 treatments. The experiment was carried out in Yangling, Shaanxi of China (34°28′N, 108°07′E) from March 22 to July 10, 2018. The cucumber 'Bonai 526' was planted in substrate bags. The substrate had an organic matter content of 185.42 g/kg, a pH value of 7.28, and an electrical conductivity of 2.05 mS/cm. During the experiments, the cucumber yield was determined. The quality indexes including soluble protein, vitamin C and total soluble sugar content, organic acid and nitrate content were measured. The comprehensive evaluation score of cucumber yield and quality was calculated by a linear weighted model and then its relationship with concentrations of four elements was fitted by a quadratic regression model. The effect of two and three factors on the comprehensive score of cucumber yield and quality were analyzed. Subsequently, a multi-objective optimization model and a genetic algorithm were used to obtain the optimal nutrient solution formula. The results showed that the optimal treatments were different based on different yield and quality indexes, indicating that the comprehensive evaluation is necessary. Comprehensive evaluation scores of the 23 treatments were obtained and used for ranking. Different treatments of solution formula had significant effects on the comprehensive evaluation scores of cucumber yield and quality. A model was established to describe the relationship between comprehensive evaluation scores of cucumber yield and quality and the coding levels of N, K, Ca and Mg (R2=0.99, P<0.001). From the model, the coupling effects of four elements on comprehensive evaluation scores were explored and the results showed that the coupling effects of N and K, and N and Ca on the comprehensive evaluation scores of cucumber yield and quality was significant (P<0.05).The interaction between N and Ca coupling had a positive effect, whilst the interaction between N and K coupling had a negative effect. Similarly, the element use efficiency models of the four elements were also established with the R2 values between 0.710 and 0.944. The multi-objective optimization model and genetic algorithm evaluation method suggested that the optimal combination of N, K, Ca and Mg concentrations in nutrient solution was 14.83, 6.89, 3.55 and 4.17 mmol/L, respectively. Under the optimal conditions, the comprehensive scores of optimal cucumber yield and quality were 38.52×10-3 while the comprehensive scores of element use efficiency of N, K and Ca were 55.09%, 63.77% and 30.55%, respectively. The optimal nutrient solution formula was better than the commonly used Japanese Yamazaki cucumber special formula. The cucumber yield per plant, soluble protein, vitamin C and total soluble sugar content of the former were 21.07%, 40.91%, 53.33% and 11.48% higher than those obtained by the latter, while the organic acid and nitrate content of the former were significantly lower than those of the latter. The findings provide insightful guidance for high yield and quality of substrate-cultivated cucumber production, and further for the scientific management of nutrient solution in cucumber farming.

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屈锋,张佼,王君正,马雪强,高子星,刘冬年,胡晓辉.基于遗传算法的基质培黄瓜营养液配方优化(英文)[J].农业工程学报,2021,37(2):96-104. DOI:10.11975/j. issn.1002-6819.2021.2.012

Qu Feng, Zhang Jiao, Wang Junzheng, Ma Xueqiang, Gao Zixing, Liu Dongnian, Hu Xiaohui.[36] Wang C, Zhou L B, Zhang G B, et al. Optimal fertilization for high yield and good quality of waxy sorghum (Sorghum bicolor L. Moench)[J]. Field Crops Research, 2017, 203: 1-7.[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2021,37(2):96-104. DOI:10.11975/j. issn.1002-6819.2021.2.012

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  • 收稿日期:2020-07-06
  • 最后修改日期:2020-11-10
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  • 在线发布日期: 2021-02-09
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