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植物脅迫測量套件

簡要描述:Y(II)或ΔF/Fm’ 或 (Fm’ – Fs )/Fm’) 是經受時間考驗的光適應測量參數,比Fv/Fm對更多類型的植物脅迫更加敏感。已有的大量證據表明Fv/Fm對許多種植物脅迫和健康植物的光系統II的測量十分出色,而Y(II)或光量子產額則可測量實際光照下光適應環境和生理狀況的光系統II的效率。

  • 產品型號:PSK
  • 廠商性質:生產廠家
  • 更新時間:2025-11-14
  • 訪  問  量:1226

詳細介紹

  應用
 
  Y(II)或ΔF/Fm’ 或 (Fm’ – Fs )/Fm’) 是經受時間考驗的光適應測量參數,比Fv/Fm對更多類型的植物脅迫更加敏感。已有的大量證據表明Fv/Fm對許多種植物脅迫和健康植物的光系統II的測量十分出色,而Y(II)或光量子產額則可測量實際光照下光適應環境和生理狀況的光系統II的效率。
 
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        原理
 
  采用調制飽和脈沖原理,測量植物的葉綠素熒光,測量參數包括植物的光量子產額Y(II)及相對電子傳遞速率ETR,最大光化學效率Fv/Fm,同時還可測量PAR、葉溫、相對濕度和葉片吸光率等環境參數。
 
  特點
 
  葉片吸光率測量:提供葉片吸收測量及隨環境變化導致的葉片吸收變化。根據Eichelman (2004) 葉片吸收在健康植物的變化范圍在0.7~0.9 之間。因此,為獲得準確的ETR或“J”,Y(II)測量儀提供了一個可靠的測量方法,
 
  Fv/Fm測量單元:用于暗適應測量。
 
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  先進的PAR葉夾:采用底部葉夾打開裝置,防止測量時誤操作打開葉夾。對傳感器進行余弦校正,確保葉片相對測量光的角度不變。
 
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  Fm’校正:對于具有高光照強度歷史的植物,*關閉光反應中心是一個問題,Y(II)測量儀使用Loriaux &Genty 2013的方法進行Fm’ 校正,確保可以測得準確的Fm’ 。
 
  自動調制光設定:快速準確自動的調整合適的調制光強,避免人工操作的誤差。
 
  先進算法避免飽和脈沖NPQ:采用25ms內8點的平均值確定Fm、Fm’、Fo、Fs,消除飽和脈沖NPQ的影響和電子噪音。
 
  更精確的葉溫測量:采用非接觸式紅外測量,測量精度可達±0.5℃。
 
  直接測量相對濕度:含有測量氣體交換使用的固態傳感器,可測量相對濕度。
 
  降低葉片遮擋的設計:傾斜的角度減少對葉片的遮擋,可以測量擬南芥等小葉。
 
  系統組成
 
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標配:
  Y(II)光量子產額測量儀,Fv/Fm測量儀及10個暗適應葉夾,2個電池,2個充電器,一個便攜箱,文件U盤。
 
  技術指標
 
  測量參數
 
  Y(II)或ΔF/Fm‘、ETR、PAR、Tleaf、相對濕度、Fms或Fm’、Fs、α(葉片吸收率)、FV/FM、FV/FO,FO, FM, FV。
 
  監測模式:允許長時間監測
 
  技術參數
 
  Y(II): 光適應測量, 穩態光合作用下的環境光
 
  光源
 
  飽和脈沖: LED白光源,使用PAR葉夾時可達7000μmols
 
  調制光:紅光,LED 660nm,具有690nm窄通過濾器。
 
  光化光源:環境光
 
  檢測方法:脈沖調制法
 
  PAR:測量400-700nm,余弦校正 ±2umols
 
  Fv/Fm:暗適應測量
 
  光源:LED紅光飽和光閃,可達6000umols;
 
  調制光:660nmLED 紅光,690nm濾波器
 
  調制光可以根據實際測量自動調節到合適的強度,減少手動調節誤差,
 
  相對濕度:0%~100%,±2%。
 
  檢測器&過濾器:具有700~750nm帶通過濾的PIN光電二極管
 
  可選配三腳架。
 
  顯示:132 X 30 pixel 液晶顯示屏
 
  取樣速率:1~10000點/秒自動切換。
 
  測量時間:最短3s或也可設置長期監測模式
 
  存儲空間:2GB
 
  輸出:USB下載數據,用Excel查看,無需安裝其他專用軟件
 
  供電:USB鋰離子電池(普通充電寶),可用8小時
 
  尺寸:便攜箱尺寸為14”x 11”x 6”,儀器為9’’長
 
  質量:Y(II) 測量儀0.45 kg
 
  Fv/Fm測量儀0.36 kg.
 
  加便攜箱和附件總重1.95 kg.
 
  工作溫度:0℃ ~ 50℃
 
  產地
 
  美國
 
  文獻
 
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  Eichelman H., Oja V., Rasulov B., Padu E., Bichele I., Pettai H., Niinemets O., Laisk A. (2004) Development of Leaf Photosynthetic Parameters in Betual pendula Roth Leaves: Correlation with Photosystem I Density, Plant Biology 6 (2004):307-318
 
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  Flexas 2000 – “Steady-State and Maximum Chlorophyll Fluorescence Responses to Water Stress In Grape Vine Leaves: A New Remote Sensing System”, J. Flexas, MJ Briantais, Z Cerovic, H Medrano, I Moya, Remote Sensing Environment 73:283-270 Physiologia Plantarum, Volume 114, Number 2, February 2002 , pp. 231-240(10)
 
  Gonias E. D. Oosterhuis D.M., Bibi A.C. & Brown R.S. (2003) YIELD, GROWTH AND PHYSIOLOGY OF TRIMAX TM TREATED COTTON, Summaries of Arkansas Cotton Research 2003
 
  Hendrickson L., Furbank R., & Chow (2004) A simple alternative approach to assessing the fate of absorbed Light energy using chlorophyll fluorescence. Photosynthesis Research 82: 73-81
 
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  Krause G.H., Weis E. (1984) Chlorophyll fluorescence as a tool in plant physiology. II. Interpretation of fluorescence signals. 5, 139-157.
 
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  D Edwards GE and Baker NR (1993) Can CO2 assimilation in maize leaves be predicted accurately from chlorophyll fluorescence analysis? Photosynth Res 37: 89–102
 
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