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作 者 ：杨艳君 郭平毅 李洪燕 赵宇 潘玉峰 曹玉凤 王玉国 王宏富 原向阳 宁娜

期 刊 ：植物营养与肥料学报 2012年 18卷 4期 页码：941-946

关键词：番茄；响应面法；产量；栽培条件；

Keywords:tomato, response surface methodology, yield, cultivation factor,

摘 要 ：为优化温室番茄的栽培条件，试验研究了不同栽培密度、施氮量和施钾量对日光温室番茄产量的影响。通过中心复合试验设计，构建三因素（栽培密度，氮肥，钾肥）五水平的响应面设计方法并建立番茄产量与三因子的二次回归数学模型。结果表明：三因素对温室番茄产量均有显著的影响（p<0.01），影响的大小顺序为栽培密度>施钾量>施氮量；栽培密度与施氮量、施钾量之间存在显著的交互作用（p<0.01），施氮量与施钾量之间的相互作用对番茄产量影响不显著（p>0.05）；多元二次回归分析结果显示，栽培密度、施氮量、施钾量与番茄产量之间的回归模型高度显著（p<0.01）。统计分析确定温室番茄的最佳栽培条件为：栽培密度4.83万株/hm2，施氮量262 kg/hm2，施钾量513kg/hm2；在此条件下，温室番茄产量的预测值为119381kg/hm2，验证试验所得产量为121005kg/hm2。本研究为日光温室番茄高产、稳产和优质提供了理论依据。

Abstract:To obtain optimal cultivation conditions for tomato in greenhouse, an experiment was conducted to explore the effects of different planting densities, potassium levels and nitrogen levels on tomato yield. The response surface methodology was applied to optimize the main cultivation factors including planting density, nitrogen level and potassium level, and a quadratic regression equation was established. The results show that the planting density, potassium level and nitrogen level have noticeably significant effects on tomato yield (p<0.01), and the order of the significance is: planting density > potassium level > nitrogen level. There are obvious interactions between the planting density and nitrogen level, and the planting density and potassium level (p<0.01). However, the interaction between the nitrogen level and potassium level is not significant (p>0.05). The multivariate quadratic regression model of the yield of tomato and the planting density, nitrogen level and potassium level is highly significant (p<0.01). The optimal cultivation conditions are that the planting density is 48300 plants/ha, the nitrogen level is 262 kg/ha, and the potassium level is 513 kg/ha. Under these conditions, the yield of tomato in greenhouse is 119381 kg/ha, while the yield from verification

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