融合叶位光合差异的设施黄瓜立体光环境优化调控模型
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摘要
黄瓜整株光合积累不仅与温度、CO2浓度、光照强度有关,而且与不同叶位的光合特性显著相关,实现不同叶位需光参数动态获取,是设施黄瓜立体光环境优化调控亟待解决的问题。本文提出了融合多智能算法的黄瓜立体光环境优化调控模型,设计了多因素嵌套实验获取多维样本数据,构建耦合叶位、温度、光照强度、CO2浓度的回归型支持向量机光合速率预测模型;基于粒子群算法进行光饱和点寻优,获取不同环境条件下不同叶位的目标光照强度;采用回归型支持向量机算法,针对目标光照强度构建立体光环境优化调控模型。结果表明,本文所提方法可动态计算作物整株不同叶位不同环境因子作用下的目标光照强度,模型决定系数为0. 999 3,均方根误差为2. 349μmol/(m~2·s),进一步分析不同叶位叶绿素含量与光合特性关系,证明两者具有强关联性,研究对提高设施藤蔓类作物立体光环境调控效率具有重要意义。
The photosynthetic product accumulation of cucumber,which is related to temperature,carbon dioxide concentration and light intensity,shows high correlation with the photosynthetic characteristics of different leaf positions. The dynamic acquisition of light parameters in different leaf positionsis a key problem to be solved in the optimization and regulation of stereo light environment of facility cucumber. A stereo light environment optimization control modelwas proposed based on multi-intelligent algorithm for cucumber,a multi-factor nesting experiment was designed to obtain multi-dimensional sample data,and a regression support vector machine photosynthetic rate prediction model,which coupled leaf position,temperature,light intensity and carbon dioxide concentration was constructed. Based on the particle swarm optimization algorithm,the light saturation point of different leaf positions was obtained under different environmental conditions. The regression support vector machine algorithm was used to construct the stereo light environment optimization control model for the target light intensity. The verification results showed that the proposed method can dynamically calculate the target light intensity with different environmental factors of different parts of the whole crop. The coefficient of determination was 0. 999 3,and the root mean square error was 2. 349 μmol/( m~2·s). The relationship between leaf chlorophyll content and photosynthetic characteristics of different leaf position was further analyzed,and the strong correlation between the two was proved. The research result had important significance for improving the efficiency of stereo light environment regulation of facility vine crops.
The photosynthetic product accumulation of cucumber,which is related to temperature,carbon dioxide concentration and light intensity,shows high correlation with the photosynthetic characteristics of different leaf positions. The dynamic acquisition of light parameters in different leaf positionsis a key problem to be solved in the optimization and regulation of stereo light environment of facility cucumber. A stereo light environment optimization control modelwas proposed based on multi-intelligent algorithm for cucumber,a multi-factor nesting experiment was designed to obtain multi-dimensional sample data,and a regression support vector machine photosynthetic rate prediction model,which coupled leaf position,temperature,light intensity and carbon dioxide concentration was constructed. Based on the particle swarm optimization algorithm,the light saturation point of different leaf positions was obtained under different environmental conditions. The regression support vector machine algorithm was used to construct the stereo light environment optimization control model for the target light intensity. The verification results showed that the proposed method can dynamically calculate the target light intensity with different environmental factors of different parts of the whole crop. The coefficient of determination was 0. 999 3,and the root mean square error was 2. 349 μmol/( m~2·s). The relationship between leaf chlorophyll content and photosynthetic characteristics of different leaf position was further analyzed,and the strong correlation between the two was proved. The research result had important significance for improving the efficiency of stereo light environment regulation of facility vine crops.
引文
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[20]殷鉴,刘新英,张漫,等.春秋茬温室番茄光合速率预测模型通用性研究[J/OL].农业机械学报,2017,48(增刊):327-333.YIN Jian,LIU Xinying,ZHANG Man,et al. Photosynthetic rate prediction of tomato under greenhouse condition in spring andautumn growth period[J/OL]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(Supp.):327-333.http:∥www. j-csam. org/jcsam/ch/reader/view_abstract. aspx? file_no=2017s050&flag=1. DOI:10. 6041/j. issn. 1000-1298. 2017. S0. 050.(in Chinese)
[21]胡瑾,何东健,任静,等.基于遗传算法的番茄幼苗光合作用优化调控模型[J].农业工程学报,2014,30(17):220-227.HU Jin,HE Dongjian,REN Jing,et al. Optimal regulation model of tomato seedlings’photosynthesis based on geneticalgorithm[J]. Transactions of the CSAE,2014,30(17):220-227.(in Chinese)
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[2]梁文娟,王美玲,艾希珍,等.黄瓜幼苗光合作用对亚适温弱光胁迫的适应性[J].农业工程学报,2008,24(8):240-244.LIANG Wenjuan,WANG Meiling,AI Xizhen,et al. Photosynthesis adaptation of cucumber seedlings to suboptimal temperatureand low light intensity stress[J]. Transactions of the CSAE,2008,24(8):240-244.(in Chinese)
[3]张振贤,艾希珍,赵世杰,等.黄瓜叶片光合作用的温度补偿点与光合启动时间[J].园艺学报,2003,30(2):157-162.ZHANG Zhenxian,AI Xizhen,ZHAO Shijie,et al. The temperature compensation point and the start time of photosynthesis ofcucumber leaves[J]. Acta Horticulturae Sinica,2003,30(2):157-162.(in Chinese)
[4] AI X,Zh ANG Z,WANG S,et al. Study on photosynthetic characteristics of different leaf-position leaves in ginger[J]. ActaAgriculturae Boreali-occidentalis Sinica,1998,7(2):101-103.
[5] LIU J P,YOU M H,ZENG X L,et al. Correlation analysis of photosynthetic rate and biomass of different leaf positions withseed yield of Elymus sibiricus[J]. Acta Prataculturae Sinica,2015,24(11):118-127.
[6] KITAGAWA H,SHIMOTUBO K. Diurnal changes of photosynthetic rates in the different leaf positions on the stem under riceplant population[J]. Japanese Journal of Crop Science,1993,62:118-119.
[7]陈佰鸿,李新生,曹孜义,等.葡萄试管苗不同叶位叶片光合与呼吸的特性[J].园艺学报,2004,34(5):637-640.CHEN Baihong,LI Xinsheng,CAO Ziyi,et al. Studies on photosythetic and respiratory characters of different leaf positions ingrape plantlet in vitro[J]. Acta Horticulturae Sinica,2004,34(5):637-640.(in Chinese)
[8]王若青,林维申.黄瓜结果期不同叶位功能叶与果实的源库关系[J].园艺学报,1991,18(3):239-244.WANG Ruoqing,LING Weishen. The source and sink relationship between leaf of different developing stages in cucumber[J].Acta Horticulturae Sinica,1991,18(3):239-244.(in Chinese)
[9]耿广涛,宋桂成,董文庆,等.种植密度对不同叶位玉米叶片光合特性的影响[J].核农学报,2015,29(8):1589-1595.GENG Guangtao,SONG Guicheng,DONG Wenqing,et al. Effect of different plant density on leaves photosynthesis of maize(Zea mays L.)at different leaves position[J]. Journal of Nuclear Agricultural Sciences,2015,29(8):1589-1595.(inChinese)
[10]史祥宾,刘凤之,程存刚,等.设施葡萄不同新梢间距处理对冠层光环境及果实品质的影响[J].园艺学报,2018,45(3):436-446.SHI Xiangbin,LIU Fengzhi,CHENG Cungang,et al. Effects of different new shoots spacing on canopy light environment andfruit quality of grapevine under protected cultivation[J]. Acta Horticulturae Sinica,2018,45(3):436-446.(in Chinese)
[11]黄慧敏,董蓉,何丹妮,等.冠层结构和光环境的时空变化对紫耳箭竹种群特征的影响[J].应用生态学报,2018,29(7):2129-2138.HUANG Huimin,DONG Rong,HE Danni,et al. Effects of temporal and spatial variation of canopy structures and lightconditions on population characteristics of Fargesia decurvata[J]. Chinese Journal of Applied Ecology,2018,29(7):2129-2138.(in Chinese)
[12] XIA R,SHI X. The effects of leaf age and different positions on canopies on photosynthetic rate of Huanghua pear[J]. Journalof Wuhan Botanical Research,1989(2):163-166.
[13] MAO M,GUO D,LIANG Y. Effects of soil moisture on photosynthetic rate,transpiration rate and water use efficiency of rapein different leaf positions[J]. Chinese Journal of Eco-Agriculture,2001,121:43-53.
[14]李伟,眭晓蕾,王绍辉,等.黄瓜幼苗不同叶位叶片光合特性对弱光的响应[J].中国农业科学,2008,41(11):3698-3707.LI Wei,SUI Xiaolei,WANG Shaohui,et al. Effects of low light on photosynthetic characteristics of different position leaves ofcucumber seedlings[J]. Scientia Agricultura Sinica,2008,41(11):3698-3707.(in Chinese)
[15]童淑媛,杜震宇,徐洪文,等.不同株型玉米叶片净光合速率差异研究[J].东北农业大学学报,2011,42(4):42-47.TONG Shuyuan,DU Zhenyu,XU Hongwen,et al. Study on differences of net photosynthetic rate of leaf in different corn types[J]. Journal of Northeast Agricultural University,2011,42(4):42-47.(in Chinese)
[16]丁小涛,姜玉萍,王虹,等. LED株间补光对番茄生长和果实品质的影响[J].上海农业学报,2016,32(6):48-51.DING Xiaotao,JIANG Yuping,WANG Hong,et al. Effect of LED supplementary lighting among plants on tomato growth andfruit quality[J]. Acta Agriculturae Shanghai,2016,32(6):48-51.(in Chinese)
[17]武海巍,于海业,张蕾.基于参数优化支持向量机的林下参净光合速率预测模型[J].光谱学与光谱分析,2011,31(5):1414-1418.WU Haiwei,YU Haiye,ZHANG Lei. Prediction model of net photosynthetic rate of ginseng under forest based on optimizedparameters support vector machine[J]. Spectroscopy and Spectral Analysis,2011,31(5):1414-1418.(in Chinese)
[18]潘少伟,梁鸿军,李良,等.改进PSO-BP神经网络对储层参数的动态预测研究[J].计算机工程与应用,2014,50(10):52-56.PAN Shaowei,LIANG Hongjun,LI Liang,et al. Dynamic prediction on reservoir parameter by improved PSO-BP neuralnetwork[J]. Computer Engineering and Applications,2014,50(10):52-56.(in Chinese)
[19]张海辉,陶彦蓉,胡瑾.融合叶绿素含量的黄瓜幼苗光合速率预测模型[J/OL].农业机械学报,2015,46(8):259-263.ZHANG Haihui,TAO Yanrong,HU Jin. Photosynthetic rate prediction model of cucumber seedlings fused chlorophyll content[J/OL]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(8):259-263. http:∥www. j-csam. org/jcsam/ch/reader/view_abstract. aspx? file_no=20150836&flag=1. DOI:10. 6041/j. issn. 1000-1298. 2015. 08. 036.(inChinese)
[20]殷鉴,刘新英,张漫,等.春秋茬温室番茄光合速率预测模型通用性研究[J/OL].农业机械学报,2017,48(增刊):327-333.YIN Jian,LIU Xinying,ZHANG Man,et al. Photosynthetic rate prediction of tomato under greenhouse condition in spring andautumn growth period[J/OL]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(Supp.):327-333.http:∥www. j-csam. org/jcsam/ch/reader/view_abstract. aspx? file_no=2017s050&flag=1. DOI:10. 6041/j. issn. 1000-1298. 2017. S0. 050.(in Chinese)
[21]胡瑾,何东健,任静,等.基于遗传算法的番茄幼苗光合作用优化调控模型[J].农业工程学报,2014,30(17):220-227.HU Jin,HE Dongjian,REN Jing,et al. Optimal regulation model of tomato seedlings’photosynthesis based on geneticalgorithm[J]. Transactions of the CSAE,2014,30(17):220-227.(in Chinese)
[22]叶子飘,高峻.光响应和CO2响应新模型在丹参中的应用[J].西北农林科技大学学报(自然科学版),2009,37(1):129-134.YE Zipiao,GAO Jun. Application of anew model of light-response and CO2response of photosynthesis in Salvia miltiorrhiza[J]. Journal of Northwest A&F University(Natural Science Edition),2009,37(1):129-134.(in Chinese)
[23]韩建会,徐淑贞,张福墁.日光温室不同季节生态环境对黄瓜光合作用的影响[J].华北农学报,2003,18(增刊):124-126.HAN Jianhui,XU Shuzhen,ZHANG Fuman. Effect of the ecosystem environment in different season on cucumber photo-synthesis in sunlight-glasshouse[J]. Acta Agriculturae Boreali-Sinica,2003,18(Supp.):124-126.(in Chinese)
[24]庞金安,马德华,李淑菊.黄瓜光合作用的研究[J].天津农业科学,1997,8(4):10-17.PANG Jin'an,MA Dehua,LI Shuju. Study on photosynthesis of cucumber[J]. Tianjin Agricultural Sciences,1997,8(4):10-17.(in Chinese)
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