|Table of Contents|

Growth Model of Lettuce Cultivated by NFT Based on Growth Degree Days

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2021年14
Page:
39-45
Research Field:
Publishing date:

Info

Title:
Growth Model of Lettuce Cultivated by NFT Based on Growth Degree Days
Author(s):
HUANG Yuyan; WANG Tao; LIAO Shuilan; ZHONG Chensheng; CHEN Yongkuai
(Institute of Digital Agriculture,Fujian Academy of Agricultural Sciences,Fuzhou,Fujian 350003)
Keywords:
nutrient film technique; growth degree days; lettuce; model
PACS:
-
DOI:
10.11937/bfyy.20203789
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 (R2) 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.

References:

[1]陈青君,韩莹琰,谷建田.生菜种质资源的主要农艺性状鉴定与耐热性评价[J].中国蔬菜,2011(20):20-27.[2]张莉,陈青云,高丽红,等.NFT栽培槽槽底形状对生菜生产效果的影响[J].农业工程学报,2005,21(S):211-213.[3]吴敬才,郑回勇,吴燕.叶菜类蔬菜营养液膜无土栽培技术[J].福建农业科技,2015(10):48-50.[4]马万征,毛罕平,倪纪恒.不同果实负载下温室黄瓜干物质分配的模拟[J].农业工程学报,2010,20(10):259-263.[5]HOLZWORTH D P,DEVOIL P G,DEVOIL P G,et al.APSIM evolution towards a new generation agricultural systems simulation[J].Environmental Modelling & Software,2014,62(C):327-350.[6]JONES J W,HOOGENBOOM G,PORTER C H,et al.The DSSAT cropping system model[J].European Journal of Agronomy,2003,18(3-4):235-265.[7]HOOF C V D,HANERT E,VIDALE P L.Simulating dynamic crop growth with an adapted land surface model JULES-SUCROS:Model development and validation[J].Agricultural & Forest Meteorology,2011,151(2):137-153.[8]李建明,邹志荣.温度、光辐射及水分对温室甜瓜幼苗干物质积累与分配的影响及其模拟模型[J].应用生态学报,2007,18(12):2715-2721.[9]施泽平,郭世荣.基于生长度日的温室甜瓜发育模拟摸犁的研究[J].南京农业大学学报,2005,28(2)：129-132.[10]李向岭,赵明,李从峰,等.玉米叶面积系数动态特征及其积温模型的建立[J].作物学报,2011,37(2):321-330.[11]诸叶平,李世娟,李书钦,等.作物生长过程模拟模型与形态三维可视化关键技术研究[J].智慧农业,2019,1(1):53-66.[12]苏李君,刘云鹤,王全九,等.基于有效积温的中国水稻生长模型的构建[J].农业工程学报,2020,36(1):162-174.[13]谭一波,赵仲辉.叶面积指数的主要测定方法[J].林业调查规划,2008,33(3):45-48.[14]李世娟,诸叶平,李书钦,等.整株干物质量分配指数模型模拟冬小麦各器官形态参数[J].农业工程学报，2019,35(9):155-164.[15]刘志刚,徐勤超.基于辐热积的温室微灌基质栽培生菜生长模拟[J].江苏农业学报,2016,32(6):1315-1319．[16]汪力威.温室生菜干物质积累模拟模型和单叶面积非破坏性评估方法研究[D].武汉:华中农业大学,2010.

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Last Update: 2021-10-28