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Prediction of nitrogen and phosphorus contents in citrus leaves based on hyperspectral imaging

International Journal of Agricultural and Biological Engineering 2015年第2期8卷 80-88页

作者： Liu Yanli Lyu Qiang he shaolan Yi Shilai Liu Xuefeng Xie Rangjin Zheng Yongqiang Deng Lie College of Horticulture and Landscape Southwest UniversityBeibeiChongqing 400715China Citrus Research Institute Southwest University-Chinese Academy of Agricultural SciencesBeibeiChongqing 400712China

The nutritional status of citrus leaves is very important to the determining of fertilization *** spectrum technique is a quick,un-injured method and is becoming widely used for plant nutrient *** possibility and method of using spectrum technique to estimate the nutrient of citrus leaf was explored in this study.A total amount of 135 leaves from the mature spring shoots of navel orange trees(*** Osbeck,“Newhall”)were collected and randomly grouped into two sets of samples:100 leaves for the calibration set and 35 leaves for the prediction *** hyperspectral images were scanned upper and lower side of each leaf and then the total nitrogen(N)and phosphorus(P)contents of each leaf were *** raw spectra data were extracted to generate average spectra curves,preprocessed with five different methods,and was used to build N and P content prediction *** performances of the five preprocessing methods,i.e.,Savitzky-Golay smoothing(SGS),standard normal variate(SNV),multiplicative scatter correction(MSC),first-derivative(1-Der)and second-derivative(2-Der),were tested with linear partial least squares(PLS)models and nonlinear least squares-support vector machine(LS-SVM)*** results showed that the SG-PLS and PLS were the best for the N predicting(Rp=0.9049,RMSEP=0.1041)and P(Rp=0.9235,RMSEP=0.0514)in citrus leaves,respectively;the hyperspectral image data from leaf‟s upper side predicting better for the contents of N and *** study suggested that the hyperspectral image data from the upper side of the citrus leaves are suitable for nondestructive estimation of nutrient content.

关键词： citrus leaves nitrogen phosphorus prediction hyperspectral imaging

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Effects of citrus tree-shape and spraying height of small unmanned aerial vehicle on droplet distribution

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International Journal of Agricultural and Biological Engineering 2016年第4期9卷 45-52页

作者： Zhang Pan Deng Lie Lyu Qiang he shaolan Yi Shilai Liu Yande Yu Yongxu Pan Haiyang Citrus Research Institute Southwest UniversityBeibeiChongqing 400712China Institute of Optics-Electrics Technology and Application East China Jiaotong UniversityNanchang 330013China College of Plant Protection Southwest UniversityBeibeiChongqing 400715China Zhuhai Green Guards Aviation Plant Protection Technology Co.Ltd. Zhuhai 519085GuangdongChina

In order to explore the droplet penetration of spraying with unmanned aerial vehicle(UAV)on citrus trees with different shapes,the tests were carried out at different working *** material was five years old Cocktail grapefruit(Citrus paradisi ***)grafted on Trafoliata(Poncirus trifoliata ***.)and the type of UAV sprayer used was the 3W-LWS-Q60S.A solution of 300 times Ponceau 2R diluents liquid instead of pesticide was used for citrus fields spraying and the droplets were collected by paper *** deposition parameters were extracted and analyzed using digital image processing after scanning the *** results showed that:1)For the trees with round head shape canopy,the droplet depositions of the upper,middle and lower layers had a significant difference at 0.05 *** droplet deposition had the best effect when the working height was 1.0 m,where the average droplet deposition densities were 39.97 droplets/cm2 and the average droplet size was 0.30 mm,but the droplet coverage(3.19%)was lower than that at the working height of 1.5 m(4.27%).2)Under three different working heights of UAV,the tree with open center shape can obtain higher droplet deposition density at all three layers than that with the round head shape *** was especially prominent when the working height was 1.0 m,as the middle layer increased by 49.92%.However,the higher range of droplet deposition density meant larger fluctuation and dispersion.3)The open center shape canopy and the 1.0 m working height obviously improved the droplet coverage rate and droplet density in the citrus *** these parameters of open center shape citrus tree,there was no obvious difference in the front and rear direction,but in the left and middle part of the tree crown,the difference reached a 0.05 significant *** droplet deposition characteristics and the spray uniformity,the UAV performed better when working on open center shape plants at a 1.0 m working height.

关键词： citrus tree shape unmanned aerial vehicle(UAV) droplet deposition

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Estimation of carbon and nitrogen contents in citrus canopy by low-altitude remote sensing

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International Journal of Agricultural and Biological Engineering 2016年第5期9卷 149-157页

作者： Liu Xuefeng Lyu Qiang he shaolan Yi Shilai Hu Deyu Wang Zhitao Xie Rangjin Zheng Yongqiang Deng Lie Citrus Research Institute Southwest University-Chinese Academy of Agricultural SciencesChongqing 400712China Institute of Optics-Mechanics-Electronics Technology and Application East China Jiaotong UniversityNanchang 330013China College of Horticulture and Landscape Southwest UniversityChongqing 400715China

The study aimed to investigate the fast and nondestructive method for detecting carbon and nitrogen content in citrus *** multispectral imagery of Tarocco blood orange(Citrus sinensis ***)plant canopy was obtained by a multispectral camera array mounted at an eight-rotor unmanned aerial vehicle(UAV)flying at an altitude of 100 m above the canopy in Wanzhou District of Chongqing Municipality,*** spectral reflectance data of the whole canopy,mature leaf areas and young leaves areas were extracted from the *** spectral pre-processing methods,multiplicative scatter correction(MSC)and standard normal variable(SNV),and two modeling methods,the partial least squares(PLS)and the least squares support vector machine(LS-SVM),were adopted and compared for their prediction accuracy of total content of nitrogen,soluble sugar and starch in the *** results showed that,based on the spectral data extracted from the mature leaves in the multispectral imagery,the PLS model based on the original spectrum obtained a Rp(correlation coefficient)of 0.6469 and RMSEP(root mean squares error of prediction)of 0.1296,suggested that it was the best for the prediction of total nitrogen content;the PLS model based on MSC(multiplicative scatter correction)spectrum pre-processing was the best for predicting total soluble sugar content(Rp=0.6398 and RMSEP=8.8891);and the LS-SVM model based on MSC was the best for the starch content prediction(Rp=0.6822 and RMSEP=14.9303).The prediction accuracy for carbon and nitrogen contents based on the spectral data extracted from the whole canopy and the young leaves were lower than that from the mature *** results indicate that it is feasible to estimate the carbon and nitrogen contents by low-altitude airborne multispectral images.

关键词： citrus canopy low-altitude remote sensing carbon and nitrogen contents soluble sugar starch estimation

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Rapid detection of chlorophyll content and distribution in citrus orchards based on low-altitude remote sensing and bio-sensors

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International Journal of Agricultural and Biological Engineering 2018年第2期11卷 164-169页

作者： Kejian Wang Wentao Li Lie Deng Qiang Lyu Yongqiang Zheng Shilai Yi Rangjin Xie Yanyan Ma shaolan he Citrus Research Institute of Chinese Academy of Agricultural Sciences Southwest UniversityBeibeiChongqing 400712China

The accuracy of detecting the chlorophyll content in the canopy and leaves of citrus plants based on sensors with different scales and prediction models was investigated for the establishment of an easy and highly-efficient real-time nutrition diagnosis technology in citrus *** fluorescent values of leaves and canopy based on the Multiplex 3.6 sensor,canopy hyperspectral reflectance data based on the FieldSpec4 radiometer and spectral reflectance based on low-altitude multispectral remote sensing were collected from leaves of Shatang mandarin and then ***,the associations of the leaf SPAD(soil and plant analyzer development)value with the ratio vegetation index(RVI)and normalized differential vegetation index(NDVI)were *** leaf SPAD value predictive model was established by means of univariate and multiple linear regressions and the partial least squares *** distribution maps of the relative canopy chlorophyll content based on spectral reflectance in the orchard were automatically *** results showed that the correlations of the SPAD values obtained from the Multiplex 3.6 sensor,FieldSpec4 radiometer and low-altitude multispectral remote sensing were highly *** measures of goodness of fit of the predictive models were R^(2)=0.7063,RMSECV=3.7892,RE=5.96%,and RMSEP=3.7760 based on RVI_((570/800)) and R^(2)=0.7343,RMSECV=3.6535,RE=5.49%,and RMSEP=3.3578 based on NDVI[(570,800)(570,950)(700,840)].The technique to create spatial distribution maps of the relative canopy chlorophyll content in the orchard was established based on sensor information that directly reflected the chlorophyll content of the plants in different parts of the orchard,which in turn provides evidence for implementation of orchard productivity evaluation and precision in fertilization management.

关键词： citrus remote sensing bio-sensor chlorophyll detection spectrum ratio vegetation index(RVI) normalized differential vegetation index(NDVI) spatial distribution map

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Detection of Huanglongbing(citrus greening) based on hyperspectral image analysis and PCR

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Frontiers of Agricultural Science and Engineering 2019年第2期6卷 172-180页

作者： Kejian WANG Dongmei GUO Yao ZHANG Lie DENG Rangjin XIE Qiang LV Shilai YI Yongqiang ZheNG Yanyan MA shaolan he Southwest University/Citrus Research Institute of Chinese Academy of Agricultural Sciences Chongqing 400712 China National Agricultural Technology Extension and Service Center Beijing 100125 China Chengdu Plant Quarantine Station Chengdu 610000 China Key Laboratory of Modern Precision Agriculture System Integration Research China Agricultural University Beijing 100083 China

Huanglongbing (HLB, citrus greening) is one of the most serious quarantine diseases of citrus worldwide. To monitor in real-time, recognize diseased trees, and efficiently prevent and control HLB disease in citrus, it is necessary to develop a rapid diagnostic method to detect HLB infected plants without symptoms. This study used Newhall navel orange plants as the research subject, and collected normal color leaf samples and chlorotic leaf samples from a healthy orchard and an HLB-infected orchard, respectively. First, hyperspectral data of the upper and lower leaf surfaces were obtained, and then the polymerase chain reaction (PCR) was used to detect the HLB bacterium in each leaf. The PCR test results showed that all samples from the healthy orchard were negative, and a portion of the samples from the infected orchard were positive. According to these results, the leaf samples from the orchards were divided into disease-free leaves and HLB-positive leaves, and the least squares support vector machine recognition model was established based on the leaf hyperspectral reflectance. The effect on the model of the spectra obtained from the upper and lower leaf surfaces was investigated and different pretreatment methods were compared and analyzed. It was observed that the HLB recognition rate values of the calibration and validation sets based on upper leaf surface spectra under 9-point smoothing pretreatment were 100% and 92.5%, respectively. The recognition rate values based on lower leaf surface spectra under the second-order derivative pretreatment were also 100% and 92.5%, respectively. Both upper and lower leaf surface spectra were available for recognition of HLB-infected leaves, and the HLB PCR-positive leaves could be distinguished from the healthy by the hyperspectral modeling analysis. The results of this study show that early and nondestructive detection of HLBinfected leaves without symptoms is possible, which provides a basis for the hyperspectral diagnosi

关键词： citrus HLB hyperspectral identification PCR

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Bazi Bushen alleviates reproductive aging in aged male mice

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Chinese Journal of Natural Medicines 2024年第5期22卷 416-425页

作者： MA Kun LI Mengnan SONG Yahui MAO Xinjing ZHANG shaolan ZHANG Yaping JIANG Yuning JI Chuanyuan NIU Kunxu LI Hongrong HOU Yunlong WEI Cong Graduate School Hebei University of Chinese MedicineShijiazhuang 050091China State Key Laboratory for Innovation and Transformation of Luobing Theory Shijiazhuang 050035China Key Laboratory of State Administration of TCM(Cardio-Cerebral Vessel Collateral Disease) Shijiazhuang 050035China College of Traditional Chinese Medicine·College of Integrated Traditional Chinese and Western Medicine Nanjing University of Chinese MedicineNanjing 210023China hebei Provincial Key Laboratory of Luobing Shijiazhuang 050035China Key Disciplines of State Administration of TCM for Luobing Shijiazhuang 050035China

Bazi Bushen(BZBS),a traditional Chinese medicine(TCM),has demonstrated therapeutic efficacy in testicular dysfunction within D-galactose and NaNO_(2)mouse *** study aimed to ascertain if BZBS could also mitigate the decline in testicular function associated with natural ***,male aged mice were employed to evaluate the preventive effects of BZBS on male reproductive *** was achieved by assessing sex hormone production,testicular histomorphology,and *** to the untreated aged control group,BZBS administration elevated the levels of sex hormones and spermatocyte populations and preserved normal testicular structure in aged ***,spermatogenesis was *** analyses,including malondialdehyde(MDA)assays and real-time PCR,indicated that BZBS diminished testicular oxidative stress and the inflammatory *** these findings,mice treated with BZBS exhibited reductions in the populations of senescent and apoptotic cells within the seminiferous tubules,suggesting alleviated cellular *** contrast,we observed that rapamycin,a drug known for its longevity benefits,induced excessive testicular apoptosis and did not decrease lipid ***,our results highlight BZBS’s promising clinical potential in counteracting male reproductive aging,underlining its mechanisms of action.

关键词： Traditional Chinese medicine Male reproductive aging Spermatogenic cells Cell senescence Apoptosis

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数字图像分析的椪柑可溶性固形物含量检测

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农机化研究 2012年第2期34卷 116-121页

作者：易时来邓烈何绍兰张浩郑永强西南大学中国农业科学院柑桔研究所重庆400712 中国科学院亚热带农业生态研究所长沙410125

为了探索建立基于数字图像处理技术的柑桔果实品质非损伤探测技术,采用多光谱照相机MS3100获取不同成熟度椪柑果实样品的数码图像R,G,B通道颜色信息,结合实验室果实可溶性固形物含量(SSC,Solublesolids content)化学分析值,进行了椪柑果... 详细信息

为了探索建立基于数字图像处理技术的柑桔果实品质非损伤探测技术,采用多光谱照相机MS3100获取不同成熟度椪柑果实样品的数码图像R,G,B通道颜色信息,结合实验室果实可溶性固形物含量(SSC,Solublesolids content)化学分析值,进行了椪柑果实SSC与颜色信息相关性分析和检测模型研究。结果表明,椪柑果实图像的5个颜色参数R,G-R,B-R,G/R和(G-R)/(G+R)与果实SSC值之间具有较好的相关性,校正模型相关系数均在0.83以上;模型验证结果表明,B-R值与果实SSC值所建立的模型预测效果最佳,决定系数为R2=0.651,是椪柑果实SSC检测的最佳图像颜色参数,一元二次方程SSC=-0.0001(B-R)2-0.0219(B-R)+9.601为其最优检测模型;神经网络模型可以容纳更多的相关波段参与柑桔SSC含量的估算,实测值与预测值的相关系数高于其他模型,而均方根误差(RMSE,Root mean square error)低于其他模型,表明利用计算机图像技术进行柑桔果实SSC的检测是可行的。

关键词：数字图像椪柑可溶性固形物含量检测

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打造品牌学术会议助力提升科技期刊影响力——以“陈宗基讲座”高端论坛为例

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编辑学报 2024年第3期36卷 287-291页

作者：陶婧付少兰《岩石力学与工程学报》编辑部武汉430071

科技期刊要积极推动学术成果的快速且广泛的传播,进而达到推动学术创新发展的目的。科技期刊主导学术会议的内容与形式,打造学术会议品牌,有利于构建良好的学术互动社区,引领学科的交流与发展。以《岩石力学与工程学报》主办的“陈宗基... 详细信息

科技期刊要积极推动学术成果的快速且广泛的传播,进而达到推动学术创新发展的目的。科技期刊主导学术会议的内容与形式,打造学术会议品牌,有利于构建良好的学术互动社区,引领学科的交流与发展。以《岩石力学与工程学报》主办的“陈宗基讲座”高端论坛为例,介绍“陈宗基讲座”高端论坛构建与品牌打造的过程,总结不同时期发展需求下的学术会议体系建设与优化策略,从学术影响力和业界影响力2个方面分析学术会议在扩大品牌效应、提升期刊影响力方面的重要作用,并对科技期刊打造品牌学术会议进行思考和总结。

关键词：科技期刊学术会议影响力 “陈宗基讲座”高端论坛

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CsAREB转录因子在柑橘果实发育中的作用

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园艺学报 2017年第3期44卷 441-451页

作者：庞少萍董翠翠马岩岩钱春何绍兰谢让金邓烈西南大学园艺园林学院重庆400715 西南大学/中国农业科学院柑桔研究所重庆400712

以江津甜橙的低酸小果变异品种‘长叶橙’(Citrus sinensis ***‘Changyecheng’)和高酸大果芽变品种‘大果锦橙’(*** ***‘Daguo Jincheng’)为材料,对其AREB(ABA responsive element binding)/ABFs(ABRE binding factors)转录因子基因,即CsAREB1和CsAREB2进行了生物信息学及时空表达分析;采用酶联免疫法(ELISA)测定了不同发育时期果实内源激素(ABA、IAA、GA和ZR)含量。结果表明:CsAREB1的开放阅读框(ORF)长度为1 338 bp,编码445个氨基酸;CsAREB2的ORF为1 347 bp,编码448个氨基酸。CsAREB1和CsAREB2在叶、花、果中的表达存在组织特异性。在果实发育过程中,CsAREB1的表达量在‘长叶橙’中呈上升趋势,在‘大果锦橙’中呈先降后升趋势;CsAREB2的表达量在2个品种中总体均呈上升趋势。在果实细胞分裂期,‘长叶橙’果实CsAREB1、CsAREB2的表达量高于‘大果锦橙’,而在果实膨大期的果皮组织中‘长叶橙’低于‘大果锦橙’,在果肉组织中没有显著差异。两品种CsAREB1和CsAREB2的表达均受外源ABA的诱导。在细胞分裂期和膨大期的果皮组织中‘大果锦橙’中IAA、GA、ZR含量,以及IAA、GA、ZR与ABA的比值均高于‘长叶橙’,而在膨大期果肉组织中这一比值低于‘长叶橙’。随着果实的发育,CsAREB1和CsAREB2的表达量变化与果实内源ABA的含量变化趋势基本一致,而与其他内源激素的含量变化无明显相关关系。研究结果表明:CsAREB1和CsAREB2的转录水平受ABA的调控,通过参与柑橘果实ABA生成,影响柑橘果实体积发育过程。

关键词：柑橘 ABA AREB/ABFs转录因子果实发育基因表达

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柑橘CitMYB40转录因子的克隆与表达分析

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果树学报 2017年第3期34卷 257-267页

作者：董翠翠庞少萍马岩岩谢让金邓烈何绍兰西南大学.中国农业科学院柑桔研究所重庆400712 西南大学园艺园林学院重庆400715

【目的】分析R2R3-MYB家族成员Cit MYB40的生物学功能,为柑橘抗逆基因筛选和抗逆生理机制探索提供依据。【方法】以‘资阳’香橙(Citrus junos‘Ziyang’)为试材,采用生物信息学和基因表达技术,通过不同器官组织比较、植物激素和非生物... 详细信息

【目的】分析R2R3-MYB家族成员Cit MYB40的生物学功能,为柑橘抗逆基因筛选和抗逆生理机制探索提供依据。【方法】以‘资阳’香橙(Citrus junos‘Ziyang’)为试材,采用生物信息学和基因表达技术,通过不同器官组织比较、植物激素和非生物胁迫处理,研究Cit MYB40的表达规律,并预测其基本生物学功能。【结果】Cit MYB40基因的开放阅读框(ORF)为984 bp,可编码297个氨基酸残基多肽。该基因含有3个内含子、4个外显子,与葡萄Vv MYB39、胡杨Pe MYB86、马铃薯St MYB34、麻风树Jc MYB34等同源蛋白的相似度为45.57%~53.51%。实时定量分析发现,Cit MYB40基因在植株不同组织器官间的表达具有明显差异,在花中的表达量最高,根中最低。在植物激素作用下,叶中的表达量明显高于根中,但ABA、SA、Me JA、ACC均可诱导Cit MYB40基因在根和叶中的表达。在非生物胁迫下,PEG6000、Na Cl和4℃低温均对Cit MYB40的表达有上调作用,且Na Cl处理时,Cit MYB40基因在根和叶中的表达模式与PEG6000处理相似。【结论】柑橘Cit MYB40在不同组织中的表达存在显著差异,并受不同植物激素和非生物胁迫诱导,推测其在柑橘生长发育和逆境响应中起到了一定的作用。

关键词：柑橘 CitMYB40 基因表达胁迫

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