摘要
为快速、无损、准确地估计烟草叶绿素含量,通过品种和氮素水平双因素试验,获得叶片数字图像和叶片叶绿素含量数据集,分析叶片可见光谱参数与叶绿素含量参数间的关系并选择最佳参数建立估测模型。结果表明,烤烟品种和氮素水平互作增加了叶绿素与光谱参数的变异性;在3类颜色指标中,NRI、R/(G+B)、(R-B)/G、(G-R)/(R+G+B)、(R-B)/(R+G+B)、ExR与叶绿素指标达到极显著相关(p<0.01),其中R/(G+B)与Chl.a、Chl.b、Chl.(a+b)之间的相关系数分别为-0.632、-0.636、-0.666,相关性表现最好;利用田间试验进行验证,R/(G+B)对叶绿素指标的预测精度最高,与Chl.a、Chl.b、Chl(a+b)之间的均方根误差值分别为0.6069、0.1567、0.7575;选择R/(G+B)作为叶绿素含量估测的最佳颜色指标。利用该方法可实现智能手机对烟草叶绿素含量进行快速测定,及时指导烟田施肥和采取合适的栽培管理措施,具有可期的应用潜力。
In order to estimate the chlorophyll content of tobacco quickly,nondestructively and accurately,the relationship between visible spectral parameters and chlorophyll content parameters was analyzed by designing a two-factor experiment of variety and nitrogen level,and the best parameters were selected to establish the estimation model.The results of nutrient solution culture showed that the interaction between flue-cured tobacco varieties and nitrogen levels increased the variability of chlorophyll and spectral parameters.However,among the three color indices,NRI,R/(G+B),(R-B)/G,(G-R)/(R+G+B),(R-B)/(R+G+B)and ExR were significantly correlated with chlorophyll indices(p<0.01).The correlation coefficients between R/(G+B)and Chl.a,Chl.b and Chl(a+b)were-0.632,-0.636,-0.666,respectively,with the best correlation performance.Field experiments confirmed that R/(G+B)had the highest accuracy in predicting chlorophyll content,and it was chosen as the best color index for estimating chlorophyll content.The RMS errors between R/(G+B)and Chl.a,Chl.b and Chl(a+b)were 0.6069,0.1567 and 0.7575,respectively.With this method,chlorophyll content of tobacco can be rapidly determined by smart phone,and the fertilization and cultivation management measures can be timely guided.It has a promising application potential.
作者
孙志伟
张启明
苑举民
何仲秋
姜斌
闫慧峰
王树声
SUN Zhiwei;ZHANG Qiming;YUAN Jumin;HE Zhongqiu;JIANG Bin;YAN Huifeng;WANG Shusheng(Tobacco Research Institute of CAAS,Key Laboratory of Tobacco Biology and Processing,Ministry of Agriculture and Rural Affairs,Qingdao 266101,China;Jiangxi Institute of Tobacco Science,Nanchang 330025,China;Shandong Branch of China National Tobacco Corporation,Jinan 250101,China)
出处
《中国烟草科学》
CSCD
北大核心
2020年第1期44-49,共6页
Chinese Tobacco Science
基金
国家重点研发计划“特色经济作物化肥农药减施增效技术集成研究与示范”（2018YFD0201100）
中央级公益性科研院所基本科研业务费专项“基于产量和品质反应的烟草施肥模型研究”（1610232019004）
中国烟草总公司江西省公司科技项目“江西烟稻种植区肥料减施增效机制与技术集成”（2016.01.006）
关键词
烤烟
可见光谱
叶绿素含量
颜色指标
方程模型
flue-cured tobacco
visible spectrum
chlorophyll content
color index
equation model
作者简介
孙志伟(1995-),男,在读硕士研究生,研究方向:烟草栽培生理生化。E-mail:732667191@qq.com;通信作者:闫慧峰,E-mail:yanhuifeng@caas.cn;通信作者:王树声,wangshusheng@caas.cn。
