主要功能
超輕手持式設(shè)計(jì)(含葉室和電池1.5Kg)方便野外測(cè)量植物的光合作用相關(guān)參數(shù)
可選擇開路和閉路兩種測(cè)量方法;可選擇測(cè)量單葉和群體的光合作用
配合環(huán)境控制對(duì)葉室內(nèi)的光、溫、水、CO2進(jìn)行控制,研究相關(guān)環(huán)境因子與光合、呼吸的關(guān)系
自然環(huán)境下進(jìn)行光合和熒光參數(shù)同步測(cè)量
測(cè)量參數(shù):測(cè)量單葉或群體的凈光合速率或呼吸速率、蒸騰速率、氣孔導(dǎo)度、胞間CO2濃度及進(jìn)出葉室的空氣CO2濃度、相對(duì)濕度、空氣溫度、葉面溫度、光合有效輻射(PAR)等
環(huán)境控制模塊能自動(dòng)或手動(dòng)控制葉室中的CO2和H2O濃度、光、溫度
具有獨(dú)特的快速連續(xù)光合測(cè)量功能(1秒鐘測(cè)一組數(shù)據(jù))
測(cè)量參數(shù)
直接測(cè)量PAR、CO2、溫度、濕度、穩(wěn)定流速參數(shù)、大氣壓力等參數(shù)
凈光合速率、蒸騰速率、氣孔導(dǎo)度、細(xì)胞間CO2濃度
與熒光附件連用可以測(cè)量熒光參數(shù)
與土壤呼吸室連接測(cè)量土壤呼吸作用
應(yīng)用領(lǐng)域
手持式光合作用測(cè)量系統(tǒng)CI-340廣泛應(yīng)用于植物生理學(xué)、生態(tài)學(xué)、農(nóng)學(xué)、林學(xué)、園藝等植物相關(guān)學(xué)科研究,特別適合于在苛刻環(huán)境下(如林木冠層、山地環(huán)境等)的快速測(cè)量;同樣可以應(yīng)用儲(chǔ)藏加工果品、種子的呼吸、微生物的呼吸、昆蟲呼吸燈相關(guān)CO2變化的研究領(lǐng)域。
主要技術(shù)參數(shù)
主機(jī)參數(shù)
主機(jī):包括了紅外CO2分析器、濕度傳感器、氣泵、電子流量計(jì)、顯示器和鍵盤
顯示器:LCD 40×6字符(320×64像素)
數(shù)據(jù)存貯:4MB內(nèi)存,存儲(chǔ)大約160萬個(gè)數(shù)據(jù)
數(shù)據(jù)傳輸:USB
流速: 100-1000mL/min
工作溫度:0~45℃
工作濕度:5~95%RH(水汽未凝結(jié))
供電:7.2V4400mA時(shí)鋰電池,可連續(xù)使用4-6小時(shí)
重量:1.5kg(含葉室和鋰電池)
體積:44.0×5.5×5cm
CO2傳感器技術(shù)參數(shù)
分析器:低功耗非擴(kuò)散時(shí)紅外分析器
斬波頻率:1Hz
響應(yīng)時(shí)間:1秒
使用壽命:5000小時(shí)
測(cè)量范圍:0~2000ppm(標(biāo)準(zhǔn)),0~3000ppm(可選)
分辨率:0.1ppm
重復(fù)性:0.1ppm(短期)
精度:<2%
分析器腔室尺寸:100mm×10.5mm(直徑)
濕度傳感器技術(shù)參數(shù)
類型:濕敏電容
穩(wěn)定性:精確穩(wěn)定的測(cè)量
測(cè)量范圍:0~2100%
分辨率:0.1%
精度:在10%RH時(shí),精確度在±2%;在90%時(shí)精確度為±3.5 %
PAR傳感器技術(shù)參數(shù)
類型:使用帶余玄校正濾光片的GaAsP光電池
測(cè)量范圍:0~2500μmol/m-2/s-1
響應(yīng)光譜:400~700nm
精度:±5μmol/m-2/s-1(全范圍內(nèi))
氣溫傳感器技術(shù)參數(shù)
類型:熱電偶
測(cè)量范圍:-15~50℃
精度:±0.1℃
葉溫傳感器技術(shù)參數(shù)
類型:紅外非接觸式
測(cè)量范圍:-10~50℃
精度:±0.3℃
選購指南
基本配置
主機(jī)、葉室、PAR探頭、紅外葉溫計(jì)、堿石灰管、硅膠管、可充電鋰電池、電池充電器、USB數(shù)據(jù)線纜、說明書、便攜式儀器箱
可選附件
葉綠素?zé)晒獠考﨡unior-PAM 可測(cè)光響應(yīng)曲線和快速光曲線 | 技術(shù)參數(shù) 測(cè)量參數(shù):Fo、Fm、Fv/Fm、Fm’、Fo’、ΔF/Fm’、qP、qL, qN、NPQ 、Y(NPQ)和rETR 等 配備有測(cè)量、光化、飽和脈沖光、遠(yuǎn)紅外各種光源
| |
光強(qiáng)控制模塊CI-301LA 具有手動(dòng)和自動(dòng)控制方式 控制葉室內(nèi)葉片接受的光照強(qiáng)度 測(cè)量不同光強(qiáng)下的光合作用 測(cè)量光合作用隨光強(qiáng)變化的響應(yīng)曲線 | 技術(shù)參數(shù) 類型:紅藍(lán)LED光源 紅光波峰:25℃時(shí)660 nm ? 10 nm 藍(lán)光波峰:25℃時(shí)470 nm ? 10 nm 光強(qiáng)范圍:0~2500 ?mol m-2 s-1 輻照面積:80 x 40 mm 尺寸:64 x 100 x 160 mm | |
CO2/H2O供應(yīng)模塊CI-301AD 具有手動(dòng)和自動(dòng)控制方式 | 技術(shù)參數(shù) CO2供應(yīng):CO2發(fā)生器 | |
溫度控制模塊CI-510CS 測(cè)量不同溫度對(duì)植物光合作用的影響 | 技術(shù)參數(shù) 類型:熱電制冷器 范圍:環(huán)境溫度?25℃ 制冷頭尺寸:55 x 43 x14 mm 尺寸:64 x 100 x 160 mm | |
熒光控制模塊CI-510CF 與CI-340光合儀連用 可測(cè)量暗適應(yīng)下、光下的熒光參數(shù) 同步測(cè)量光合-熒光參數(shù) 可以單獨(dú)進(jìn)行測(cè)量相關(guān)熒光參數(shù) | 技術(shù)參數(shù) 測(cè)量光:0.25 ?m 飽和光:3000 ?m 頻率:8-80Hz 光纖:光導(dǎo)纖維 尺寸:64 x 100 x 160 mm | |
前述3種附件可以整合在一起, 如圖所示 CO2/H2O控制模塊CI-301AD 溫度控制模塊CI-510CS供電
| 技術(shù)參數(shù) |
葉室類型
葉室類型 | 型號(hào) | 窗口尺寸 | 深度 | 適用對(duì)象 |
開路葉室 | ||||
方形葉室 | CI-301LC-1 | 25×25 mm | 10 mm | 6.25cm2寬大葉片 |
寬葉室 | CI-301LC-2 | 55×20 mm | 10 mm | 11 cm2寬大葉片 |
窄葉室 | CI-301LC-3 | 65×10 mm | 10 mm | 6.5 cm2窄長葉片 |
小柱狀葉室 | CI-301LC-4 | 25×90 mm | 25 mm | 22.5 cm2幼苗、簇狀葉/針葉、苔蘚等 |
大柱狀葉室 | CI-301LC-5 | 50×70 mm | 50 mm | 35 cm2大幼苗、擬南芥、針葉、苔蘚、昆蟲等 |
仙人掌葉室 | CI-301LC-11 | 仙人掌或肉質(zhì)植物 | ||
閉路葉室 | ||||
1/4升葉室 | CI-301LC-7 | 104×33 mm | 73 mm | 0.2505L枝條、小型植株(單株)、幼苗等 |
1/2升葉室 | CI-301LC-8 | 89×66 mm | 86 mm | 0.5052L枝條、小型植株(單株)、幼苗等 |
1升葉室 | CI-301LC-9 | 112×90 mm | 99 mm | 1.0090L枝條、小型植株(多株)、幼苗等 |
4升葉室 | CI-301LC-10 | 180×130 mm | 170 mm | 3.9780L群體測(cè)量 |
土壤呼吸室 | CI-301SR | 直徑100 mm | 100 mm | 面積73.4cm2 ,呼吸室0.634 L;10mm深0.580 L |
群體葉室接口 | CI-301CC | 直徑76 mm | 連接自制群體光合室 |
產(chǎn)地:美國CID
參考文獻(xiàn)
原始數(shù)據(jù)來源:Google Scholar
1.Zhiwei Zheng, Yangren Wang, Shaosheng Wang, Baoyong Zhao(2016) Research on tomato water requirement with drip irrigation under plastic mulch in greenhouse,2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics) 10.1109/Agro-Geoinformatics.2016.7577646
2.Zhiwei Zheng, Yangren Wang(2016),Research on the relationship among the growth period environmental factors of tomato under the condition of mulched drip irrigation in greenhouse, 2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 10.1109/Agro-Geoinformatics.2016.7577648
3.Leticia Larchera, Maria Regina Torres Boegerb, Leonel da Silveira Lobo O'Reilly Sternbergc(2016)Gas exchange and isotopic signature of mangrove species in Southern Brazil,Aquatic Botany 10.1016/j.aquabot.2016.06.001
4.Arjun Adhikaria, Joseph D. Whitea(2016),Climate change impacts on regenerating shrubland productivity, Ecological Modelling, 10.1016/j.ecolmodel.2016.07.003
5.Sadasivan Nair Raji, Geetha Nair Aparna Changatharayil N. Mohanan, Narayanan Subhash,((2016))Proximal Remote Sensing of Herbicide and Drought Stress in Field Grown Colocasia and Sweet Potato Plants by Sunlight-Induced Chlorophyll Fluorescence Imaging, 10.1007/s12524-016-0612-3
6.Zhenhua Yu, Yansheng Li, Jian Jin, Xiaobing Liu & Guanghua Wang(2016) Carbon flow in the plant-soil-microbe continuum at different growth stages of maize grown in a Mollisol, 10.1080/03650340.2016.1211788
7.M. Drapikowskaa, P. Drapikowskib, K. Borowiaka, F. Hayesc, H. Harmensc, T. Dziewi?tkaa, K. Byczkowskaa(2016) Application of novel image base estimation of invisible leaf injuries in relation to morphological and photosynthetic changes of Phaseolus vulgaris L. exposed to tropospheric ozone, 10.1016/j.apr.2016.06.008
8.Juan F Ovalle , Eduardo C Arellano, Juan A Oliet, Pablo Becerra(2016) Rosanna Ginocchio, Linking nursery nutritional status and water availability post-planting under intense summer drought: the case of a South American Mediterranean tree species, 10.3832/ifor1905-009
9.Imran Khana, Muhammad Iqbala, Muhammad Yasin Ashrafb, Muhammad Arslan Ashrafa, Shafaqat Alic(2016) Organic chelants-mediated enhanced lead (Pb) uptake and accumulation is associated with higher activity of enzymatic antioxidants in spinach (Spinacea oleracea L.), 10.1016/j.jhazmat.2016.06.007
10.Tao Wei, Kejun Deng, Dongqing Liu, Yonghong Gao, Yu Liu, Meiling Yang, Lipeng Zhang, Xuelian Zheng, Chunguo Wang, Wenqin Song, Chengbin Chen, and Yong Zhang(2016) Ectopic expression of DREB transcription factor, AtDREB1A, confers tolerance to drought in transgenic Salvia miltiorrhiza, Plant Cell Physiology10.1093/pcp/pcw084
11.Xinping Chen, Hongyu Yuan, Rongzhi Chen, Lili Zhu, Bo Du, Qingmei Weng and Guangcun He(2016)Isolation and Characterization of Triacontanol-Regulated Genes in Rice (Oryza sativa L.): Possible Role of Triacontanol as a Plant Growth Stimulator,Plant & Cell Physiology 10.1093/pcp/pcf100
12.Muhammad Adrees, Muhammad Ibrahim, Aamir Mehmood Shah, Farhat Abbas, Farhan Saleem, Muhammad Rizwan, Saadia Hina, Fariha Jabeen, Shafaqat Ali(2016)Gaseous pollutants from brick kiln industry decreased the growth, photosynthesis, and yield of wheat (Triticum aestivum L.),Environmental Monitoring and Assessment 10.1007/s10661-016-5273-8
13.Carlos A. Madera-Parra(2016) Treatment of landfill leachate by polyculture constructed wetlands planted with native plants, Ingeniería y Competitividad
14.Raji, S., Subhash, N., Ravi, V., Saravanan, R., Mohanan, C., Nita, S., Kumar, T.(2016) Detection and Classification of Mosaic Virus Disease in Cassava Plants by Proximal Sensing of Photochemical Reflectance Index, Journal of the Indian Society of Remote Sensing 10.1007/s12524-016-0565-6
15.Gao, X., Zhao, S., Xu, Q., Xiao, J.(2016) Transcriptome responses of grafted Citrus sinensis plants to inoculation with the arbuscular mycorrhizal fungus Glomus versiforme, Trees 10.1007/s00468-015-1345-6
16.Per, T., Khan, S., Asgher, M., Bano, B., Khan, N.(2016) Photosynthetic and growth responses of two mustard cultivars differing in phytocystatin activity under cadmium stress, Photosynthetica 10.1007/s11099-016-0205-y
17.Loka, D., Oosterhuis, D.(2016) Increased night temperatures during cotton's early reproductive stage affect leaf physiology and flower bud carbohydrate content decreasing flower bud retention, Journal of Agronomy and Crop Science 10.1111/jac.12170
18.Zhou, B., Sun, J., Liu, S., Jin, W., Zhang, Q., Wei, Q.(2016) Dwarfing apple rootstock responses to elevated temperatures: a study on plant physiological features, and transcription level of related genes, China Agri Science
19.Das, A., Eldaka, M., Paudel, B., Kim, D., Hemmati, H., Basu, C., Rohila, J.(2016) Leaf Proteome Analysis Reveals Prospective Drought and Heat Stress Response Mechanisms in Soybean
20.Ovalle, J., Arellano, E., Ginocchio, R., Becerra, P.(2016) Fertilizer location modifies root zone salinity, root morphology, and water-stress resistance of tree seedlings according to the watering regime in a dryland reforestation, Journal of Plant Nutrition and Soil Science 10.1002/jpln.201500181
21.Li, Y, Wang, Z., Zhang, J., Wenhao, L.(2016) Effect of Liquid Mulch on the Transpiration Rate and Water Use Efficiency of Drip-irrigated Cotton, International Journal of U and E Service, Science and Technology 10.14257/ijunesst.2016.9.1.12