避雨栽培下番茄茎流通径和灰色关联度分析
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摘要
根据避雨栽培番茄试验结果,研究了不同供水条件及天气情况下番茄茎流流速的日变化过程,采用通径和灰色关联度分析,以光合有效辐射、太阳辐射、饱和水汽压差、相对湿度、气温和土壤含水量6个环境因子指标为自变量,计算了番茄茎流流速的通径系数、相关系数、决定系数、相关度和对回归方程估测可靠程度R~2的总贡献。结果表明:影响番茄茎流最大的环境因子是太阳辐射,其次是气温和饱和水汽压差,直接通径系数与关联度的计算结果基本一致,但各自变量对R~2的总贡献同其与因变量的关联度稍有偏差。研究成果对南方避雨栽培条件下番茄优质高效生产具有重要指导意义。
Based on the experimental data of tomato under rain-shelter cultivation, the diurnal variation of stem sap flow velocity of tomato under the condition of different irrigation amount and weather was studied. Taking photosynthesis available radiation, solar radiation, air saturation vapor pressure, air relative humidity, air temperature and soil moisture content as independent variable, We calculated the coefficient of determination and correlation, and the overall contribution of the reliability of the regression equation of the independent variables on the stem sap of tomato. The results showed that the most sensitive indicator affecting the stem sap of tomato was solar radiation. The next two indicators were air temperature and air saturation vapor pressure. Direct path coefficient was basically consistent with correlation results, but variable factors on the result of the total contribution R2 have slight deviation compared to its correlation with the dependent variable. The research has important theoretical significance to promote tomato quality and efficient production under the condition of rain-shelter cultivation.
Based on the experimental data of tomato under rain-shelter cultivation, the diurnal variation of stem sap flow velocity of tomato under the condition of different irrigation amount and weather was studied. Taking photosynthesis available radiation, solar radiation, air saturation vapor pressure, air relative humidity, air temperature and soil moisture content as independent variable, We calculated the coefficient of determination and correlation, and the overall contribution of the reliability of the regression equation of the independent variables on the stem sap of tomato. The results showed that the most sensitive indicator affecting the stem sap of tomato was solar radiation. The next two indicators were air temperature and air saturation vapor pressure. Direct path coefficient was basically consistent with correlation results, but variable factors on the result of the total contribution R2 have slight deviation compared to its correlation with the dependent variable. The research has important theoretical significance to promote tomato quality and efficient production under the condition of rain-shelter cultivation.
引文
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[17] Bhekisipho T.Extracting grey relational systems from incomplete road traffic accidents data:The case of Gauteng province in south Africa[J].Expert Systems,2014,31(3):220-231.
[2] Vermeulen S J,Aggarwala P K,Ainslie A,et al.Options for support to agriculture and food security under climate change[J].Environmental Science & Policy,2012,15(1):136-144.
[3] 邵光成,蓝晶晶,仝道斌,等.灌排方案对避雨番茄需水特性与产量的影响[J].排灌机械工程学报,2013(1):75-80.
[4] Yunusa I A M,Walker R R,Loveys B R,et al.Determination of transpiration in irrigated with grapevines:Comparison of the heat pulse technique with gravimetric and micrometeorological methods[J].Irrigation Science,2000,20(4):1-8.
[5] Lubinda A K,Murray-Hudson M,Green S.Sap flow variation in selected riparian woodland species in the Okavango Delta,Botswana[J].African Journal of Ecology,2017,55(4):654-663.
[6] 黄俊,赵西宁,吴普特.基于通径分析和灰色关联理论的坡面产流产沙影响因子分析[J].四川大学学报:工程科学版,2012(5):64-70.
[7] Abhilasha S,Anil KGupta,Karuna S,et al.Genetic variability,associations,and path analysis of chemical and morphological traits in Indian ginseng Withania somnifera(L.) Dunal for selection of higher yielding genotypes[J].Journal of Ginseng Research,2018(42):158-164.
[8] 蔡甲冰,许迪,刘钰,等.冬小麦返青后腾发量时空尺度效应的通径分析[J].农业工程学报,2011(8):69-76.
[9] 吴泳辰,韩国君,陈年来.调亏灌溉对加工番茄产量、品质及水分利用效率的影响[J].灌溉排水学报,2016,35(7):104-107.
[10] 邓聚龙.灰色系统基本方法[M].武汉:华中科技大学出版社,2005.
[11] Yesim Erdem,Nedim Yuksel A.Yield response of watermelon to irrigation shortage[J].Scientia Horticulturae,2003(98):365-383.
[12] 李会,刘钰,蔡甲冰,等.夏玉米茎流速率和茎直径变化规律及其影响因素[J].农业工程学报,2011(10):187-191.
[13] 冯禹,崔宁博,魏新平,等.川中丘陵区参考作物蒸散量时空变化特征与成因分析[J].农业工程学报,2014(14):78-86.
[14] 崔党群.通径分析的矩阵算法[J].生物数学学报,1994(1):71-76.
[15] 刘思峰,杨英杰.灰色系统研究进展(2004～2014)[J].南京航空航天大学学报,2015,47(1):1-18.
[16] Ejnioui A,Otero C E,Otero L D.Prioritisation of software requirements using grey relational analysis[J].International Journal of Computer Applications in Technology,2013,47(2/3):100-109.
[17] Bhekisipho T.Extracting grey relational systems from incomplete road traffic accidents data:The case of Gauteng province in south Africa[J].Expert Systems,2014,31(3):220-231.