HUANG Yuyan,WANG Tao,LIAO Shuilan,et al.Growth Model of Lettuce Cultivated by NFT Based on Growth Degree Days[J].Northern Horticulture,2021,(14):39-45.[doi:10.11937/bfyy.20203789]
基于有效积温的NFT栽培生菜生长模型
- Title:
- Growth Model of Lettuce Cultivated by NFT Based on Growth Degree Days
- Keywords:
- nutrient film technique; growth degree days; lettuce; model
- 文献标志码:
- A
- 摘要:
- 以3种生菜品种为试材，在福建省海峡现代农业示范园温室内开展了3次栽培试验，每隔1~3 d，采集生菜的生长指标。根据生菜对温度的响应，以有效积温为自变量，采用Logistic方程构建生菜NFT栽培生长模型。建立了生菜地上部鲜质量、地上部干质量、地下部鲜质量、地下部干质量、株高、叶片数、总叶面积等模型,以期探明营养液膜栽培技术（NFT）栽培的生菜生长模型。结果表明：模拟模型的曲线决定系数范围在0.869~0.984，模型的预测值与实际值之间基于1∶1直线的决定系数范围在0.965~0.992，地上部鲜质量、地上部干质量、地下部鲜质量、地下部干质量、株高、叶片数、总叶面积的RMSE最大值分别为6.52 g、0.66 g、6.50 g、0.16 g、2.13 cm、1.11叶、200.09 cm2，模型预测效果较好。最后，用最大叶叶长和叶宽的乘积为自变量，建立了最大叶叶面积及单株总叶面积非破坏性估测模型，模型精度也较高。
- Abstract:
- Three lettuce varieties were selected as experimental materials.Experiments were carried out in the greenhouse of the strait modern agriculture demonstration garden in Fujian Province.The growth indexes were collected every 1-3 days.According to the response to temperature,the growth degree days was used as the independent variable,the growth model was constructed with Logistic equation.The model includes fresh and dry weight above ground,fresh and dry weight below ground,plant height,number of leaves,total leaf area.In order to explore the growth model of lettuce cultivated by the nutrient film technique (NFT).The results showed that the determination coefficient of the simulation model was between 0.869 to 0.984,the predicted and actual values based on 1∶1 straight line,the determination coefficients (R2) was between 0.965 to 0.992.The largest RMSE of fresh weight above ground,dry weight above ground,fresh weight below ground,dry weight below ground,plant height,number of leaves,total leaf area were 6.52 g,0.66 g,6.50 g,0.16 g,2.13 cm,1.11 leaves,200.09 cm2,the accuracy of the model was high.Finally,using the leaf length multiplied by leaf width of the maximum leaf as independent variables,a non-destructive estimation model of maximum leaf area and total leaf area were established，the accuracy of the model was also high.
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备注/Memo
第一作者简介：黄语燕（1987-），女，硕士，助理研究员，现主要从事农业电气化与自动化等研究工作。E-mail:644621043@qq.com.责任作者：陈永快（1981-），男，硕士，副研究员，现主要从事设施农业等研究工作。E-mail：86467897@qq.com.基金项目：福建省农业科学院科技创新团队资助项目（STIT2017-2-12）；福建省农业科学院自由探索资助项目（AA2018-26）。收稿日期：20220-09-03