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Response surface optimization of cultivation conditions for yield of tomato (Lycopersicon esculentum Mill.) in greenhouses

文献类型： 外文期刊

作者： Yang, Yanjun 1 ; Pan, Yufeng 1 ; Zhao, Hongmei 1 ; Ji, Aiqing 1 ; Shi, Junfeng 3 ; Guo, Pingyi 2 ;

作者机构： 1.Jinzhong Univ, Coll Biol Sci & Technol, Jinzhong, Peoples R China

2.Shanxi Agr Univ, Coll Agr, Taigu, Peoples R China

3.Shanxi Acad Agr Sci, Inst Agr Prod Storage & Fresh Keeping, Taiyuan, Shanxi, Peoples R China

关键词： greenhouse cultivation; response surface methodology; tomato yield

期刊名称：JOURNAL OF PLANT NUTRITION （ 影响因子：1.707； 五年影响因子：1.645 ）

ISSN： 0190-4167

年卷期： 2018 年 41 卷 2 期

页码：

收录情况： SCI

摘要： There is a great potential for greenhouse tomato fruit yield improvement in China for the low yield per hectare. We evaluated the effects of multi-factors (plant density, nitrogen (N) and K2O fertilizer) on fruit yield of tomato (Lycopersicon esculentum Mill. cv. Jinfan 4) by response surface methodology with a 5-level-3-factor central composite design. A multivariate quadratic regression model of fruit yield was established. Results showed that N fertilizer was the most significant for fruit yield, followed by K2O fertilizer and plant density. Fruit yield showed a parabolic trend with increasing fertilizer levels or plant density. There was a significant interaction effect between plant density and fertilizer levels. Optimal conditions were obtained: 4.83 x 104 plants ha(-1) for density, 262 kg ha(-1) for N and 513 kg ha(-1) for K2O. Under these conditions, the predicted fruit yield was 119,381 kg ha(-1), while the actual fruit yield from verification test was 121,005 kg ha(-1).

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