应用多酚-叶绿素仪监测棉花氮素营养状况研究  

Application of polyphenol-chlorophyll meter to monitor cotton N nutrition status

作　　者：殷星 侯振安[1] 冶军[1] 闵伟[1] 刘凯 王方斌 廖欢 甘浩天 刘少华 孙嘉璘 YIN Xing;HOU Zhen-an;YE Jun;MIN Wei;LIU Kai;WANG Fang-bin;LIAO Huan;GAN Hao-tian;LIU Shao-hua;SUN Jia-lin(Department of Resources and Environmental Science,Colloge of Agronomy,Shihezi University,Shihezi,Xinjiang 832003,China)

机构地区：[1]石河子大学农学院农业资源与环境系,新疆石河子832003

出　　处：《植物营养与肥料学报》2021年第7期1198-1212,共15页Journal of Plant Nutrition and Fertilizers

基　　金：国家重点研发计划(2017YFD0200100,2018YFD0800800);兵团中青年科技创新领军人才计划(2016BC001)。

摘　　要：【目的】通过田间试验,研究使用多酚-叶绿素仪对棉花进行快速无损氮素营养诊断适宜的指标。【方法】田间试验在新疆石河子市进行,设3个施氮处理,分别为施纯N 0、180和240 kg/hm^(2),分别用N0、N180和N240表示。所有氮肥分5次随滴灌施入,每次施肥后3天,利用多酚-叶绿素仪(Dualex-4)和SPAD叶绿素仪分别测定20株棉花叶片的氮平衡指数(NBI)、Chl值和SPAD值,同步采样测定棉花叶片全氮含量,及0—20 cm、0—40 cm和0—60 cm土层硝态氮含量。【结果】随着施氮量的增加棉花叶片全氮含量和土壤硝态氮含量均显著增加。其中,0—40 cm土层硝态氮含量与棉花叶片全氮含量关系最密切。增加氮肥施用量,棉花叶片氮素营养诊断指标NBI、Chl值和SPAD值均显著增加。棉花叶片NBI、Chl和SPAD与叶片全氮含量均呈极显著正相关关系,且相关系数(r)均达到0.8以上。相关性模型校验结果表明,棉花叶片全氮含量实测值与预测值的平均相对误差(RE)分别为-4.0%(NBI)、-3.1%(Chl)和-5.7%(SAPD)。其中,氮平衡指数(NBI)模型对棉花叶片全氮含量的预测精度最高,与实测值的相关系数达到了0.9143,平均绝对百分比误差(MAPE)为6.91%;标准均方根误差(nRMSE)为8.21%。棉花叶片NBI、Chl和SPAD与土壤硝态氮的模型决定系数表现为NBI>Chl>SPAD。模型校验分析表明,NBI模型与0—40 cm土层硝态氮实测含量的相关性最高,相关系数为0.9116,预测值与实测值的MAPE和nRMSE分别为14.11%和17.88%。【结论】应用多酚-叶绿素仪监测棉花氮素营养,氮平衡指数(NBI)与棉花叶片氮含量和0—40 cm土层硝态氮含量的相关性最高,预测值与实测值的误差仅为6.91%和14.11%,可以满足膜下滴灌条件下棉花氮素营养的快速诊断需求。【Objectives】We studied the suitable parameter in diagnosing cotton N nutrition using the polyphenol-chlorophyll meter in the field.【Methods】A field experiment was set up in Shihezi,Xinjiang,with three N application rates:N 0,180,and 240 kg/hm^(2),expressed as N0,N180 and N240.The N fertilizer treatments were topdressed 5 times with drip irrigation.Nitrogen balance index(NBI),Chl,and SPAD values of 20 cotton plants leaves were measured on the third day after topdressing,using both Polyphenol-chlorophyll meter(Dualex-4)and SPAD chlorophyll meter.The total N content of cotton leaves and the nitrate-nitrogen content in 0-20 cm,0-40 cm and 0-60 cm soil layers were determined simultaneously.【Results】With increasing N applicationrate,the total N content of cotton leaves and soil nitrate-nitrogen content increased significantly.The soil NO3--N content in the 0-40 cm soil layer had the closest relationship with the total N content of cotton leaves.The NBI,Chl,and SPAD values of cotton leaves significantly increased with increasing N application rate,and were positively correlated with the total N content of cotton leaves.The correlation coefficients were all above 0.8.The average relative error(RE)of the measured and predicted values of leaf total N content was -4.0%(NBI),-3.1%(Chl),and -5.7%(SAPD),respectively.The NBI exhibited the highest prediction accuracy for leaf N content,with an r-value of 0.9143,average absolute percentage error(MAPE)of 6.91%,and the standard root mean square error(nRMSE)was 8.21%.The model determination coefficient(R^(2))of the diagnostic index with soil NO_(3)^(-)-N content was in the descending order NBI>Chl>SPAD.The NBI was the most sensitive to NO_(3)^(-)-N content in 0-40 cm soil layer,with r-value of 0.9116,MAPE of 14.11%,and nRMSE of 17.88%.【Conclusions】When using the polyphenol-chlorophyll meter to diagnose N nutrition,we find that the N balance index(NBI)is sensitive and accurate in reflecting cotton leaf N content and the NO_(3)^(-)-N content in 0-40 cm soil layer.The a

关 键 词：多酚-叶绿素仪 氮素平衡指数 叶绿素 SPAD 土壤硝态氮含量 棉花叶片全氮含量 模型预测精度 

分 类 号：S562[农业科学—作物学]