Response surface optimization of cultivation conditions for yield of tomato (Lycopersicon esculentum Mill.) in greenhouses |
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| Authors: | Yanjun Yang Yufeng Pan Hongmei Zhao Aiqing Ji Junfeng Shi |
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| Institution: | 1. College of Biological Sciences and Technology, Jinzhong University, Jinzhong, PR China;2. College of Agriculture, Shanxi Agriculture University, Taigu, PR China;3. Institute of Agricultural Product Storage and Fresh Keeping, Shanxi Academy of Agricultural Sciences, Taiyuan, PR China |
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| Abstract: | 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 × 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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| Keywords: | greenhouse cultivation response surface methodology tomato yield |
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